#Deployment image servicing and management
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soft-serve-soymilk · 1 year ago
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Imagine finally going on your laptop to work on your project that is rapidly becoming due because u beat the executive dysfunction and finding ALL your files deleted (art, apps, sentimental screenshots etc)
And then while you’re fixing your dad’s dumbass mistake file explorer itself corrupts 😞
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nirbobharvey · 2 months ago
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Hurricane Milton Resources, Emergency Contacts, and Recovery Assistance
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Hurricane Milton is making landfall in Florida, and residents across the state must prepare for the potential devastation it could bring. With forecasts predicting high winds, torrential rain, and widespread flooding, Hurricane Milton could leave communities struggling to rebuild.
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New Image Roofing Atlanta gathered information about Hurricane Milton, the damage and devastation it will likely leave in its path, valuable emergency resources, and what New Image Roofing has invested to assist the urgent upcoming recovery efforts.
New Image Roofing Florida 352-316-6008 is ready to assist residents and businesses with roofing and recovery needs. Below is a breakdown of the potential risks, necessary resources, and emergency contacts to help Floridians navigate this challenging time.
Potential Devastation from Hurricane Milton
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Hurricane Milton’s impact on Florida could be catastrophic. Forecasts show a Category 4 storm, and officials urge everyone to prepare for the worst. The potential damage from this hurricane could include:
Winds up to 150 mph – These extreme wind speeds can tear roofs off homes and businesses, uproot trees, and snap power lines. Flying debris could cause significant property damage and put lives at risk.
Torrential rainfall and flooding – Milton is expected to dump up to 20 inches of rain in certain areas, leading to flash flooding in low-lying regions. Coastal areas face the added threat of storm surge, which could inundate homes and infrastructure.
Watch this video to grasp the dangers of storm surge (a storm surge of 15 feet is expected with Hurricane Milton).
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Power outages – Downed power lines will likely cause widespread outages. These outages may last days or weeks, leaving communities without access to essential services.
Tornadoes – Hurricane Milton’s powerful system could spawn tornadoes, particularly in the eastern parts of the state, causing additional destruction.
Watch this video to see Hurricane Milton’s approach to Florida’s west coast.
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New Image Roofing Florida’s Response
New Image Roofing Florida has a strong history of helping communities recover after hurricanes. The company is prepared to assist with Hurricane Milton’s aftermath. As part of their commitment to helping Florida rebuild, New Image Roofing teams will be deployed to the most affected regions as soon as it is safe to begin repairs.
Rapid Deployment – New Image Roofing Florida teams are on standby, ready to travel to hurricane-affected areas to begin emergency repairs. Their teams specialize in patching damaged roofs, installing temporary tarps, and providing long-term roofing solutions.
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NEW IMAGE ROOFING FLORIDA 352-316-6008
Residential and Commercial Assistance – New Image Roofing Florida is equipped to handle residential and commercial properties. Their priorities are to rapidly secure buildings, prevent further water damage, and help businesses reopen quickly.
Free Inspections and Estimates – The company offers free roof inspections and damage estimates for all affected Floridians.
Experienced Hurricane Recovery Teams – With years of experience handling the aftermath of powerful storms, New Image Roofing Florida will work efficiently to secure homes, schools, businesses, and critical infrastructure.
Federal and State Resources
In the wake of Hurricane Milton, Floridians will rely on various state and federal agencies to provide essential services. Below is a list of important contacts and resources for emergency assistance, shelters, and recovery support:
Federal Emergency Management Agency (FEMA)
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Website: fema.gov Phone: 1-800-621-FEMA (3362)
Services: FEMA provides disaster relief assistance, including temporary housing, emergency financial aid, and infrastructure repair.
American Red Cross
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Website: redcross.org Phone: 1-800-RED-CROSS (733-2767)
Services: The Red Cross offers shelter, food, and medical support during and after disasters.
Florida Division of Emergency Management (FDEM)
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Website: floridadisaster.org Phone: 850-815-4000 State Assistance Emergency Line: 1-800-342-3557 Florida Relay Service: Dial 711 (TDD/TTY)
Services: FDEM coordinates state-wide emergency response, disaster recovery, and evacuation orders.
New Image Roofing Florida
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Website: newimageroofingfl.com Phone: 352-316-6008
Services: New Image Roofing Florida provides full-service emergency roof inspections, patching up damaged roofs, installing temporary tarps, and providing long-term roofing solutions. The company will also coordinate/attend adjusters meetings with your insurance agency.
Florida Power & Light (FPL)
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Website: fpl.com Phone: 1-800-468-8243
Services: FPL provides power outage reporting and updates on restoration timelines.
National Flood Insurance Program (NFIP)
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Website: floodsmart.gov Phone: 1-888-379-9531
Services: NFIP provides information about flood insurance policies and assistance with claims after flood damage.
Florida Department of Transportation (FDOT)
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Website: fdot.gov Phone: 1-850-414-4100
Services: FDOT manages road closures and traffic conditions. They provide real-time updates about safe evacuation routes and road repairs after a storm.
Local Florida County Emergency Services
Each Florida county has emergency management teams coordinating shelters, first responders, and relief efforts. Check your county’s website for specific contact numbers and resources. At-risk counties include:
Charlotte Citrus De Soto Flagler Glades Hardee Hernando Hillsborough Manatee Pasco Pinellas Sarasota Sumter
Visit WUSF (West Central Florida’s NPR station) website for valuable local information, emergency shelter, and guidance.
Website: wusf.org
Hurricane Season Risks and Preparedness
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Florida’s hurricane season runs from June 1 to November 30. Hurricane Milton is hitting just as the state braces for more potential storms. The danger doesn’t end when the hurricane passes. After a storm like Milton, communities are left vulnerable to future weather events. The risk of another hurricane striking Florida before Milton’s recovery remains high.
Weakening Infrastructure – After Milton, homes and businesses will be more susceptible to damage from weaker tropical storms or hurricanes. Unrepaired roofs and weakened structures could collapse or fail under minimal pressure.
Flooding Risks – Milton’s heavy rainfall and storm surge will saturate the ground and fill waterways. This will leave communities vulnerable to even small rain events, with the potential for additional flooding.
Power Restoration Delays – With Milton causing widespread outages, the power grid may remain unstable for weeks, making it difficult for residents to recover fully before the next storm hits.
Preparing for Future Storms – Residents must begin making plans now for the rest of hurricane season. Stock up on supplies, make sure your property is secure, and stay informed about future weather developments.
Additional Tips for Hurricane Preparedness
To ensure the safety of yourself and your loved ones, follow these guidelines when preparing for a Hurricane:
Evacuate if Ordered – Listen to local officials and immediately evacuate if you are in an evacuation zone. Delaying could put your life at risk.
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Secure Your Property – Install hurricane shutters, trim trees, and secure outdoor items. Consider having your roof inspected by New Image Roofing before the storm hits.
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Prepare a Disaster Kit – Include essentials like water, food, medications, flashlights, batteries, and important documents.
Stay Informed – Official sources like FEMA, FDEM, and the National Weather Service offer updates and information.
Read more about hurricane preparedness at newimageroofingatlanta.com/hurricane-preparedness-a-comprehensive-guide
Hurricane Milton Resources and Recovery
In this article, you discovered information about hurricane preparedness, potential severe damage to roofs and homes, post-hurricane emergency services and resources, and how to repair your home and roof after the storm.
Your awareness and preparedness for Hurricane Milton (and coming storms) will minimize damages and help you return to normal in the storm’s aftermath.
Lack of proactive measures and delayed action will leave you uninformed, in life-threatening situations, and severely challenged to get your home and roof repaired after a hurricane sweeps through your community.
New Image Roofing Florida – 352-316-6008
Sources: fema.gov/disaster/current/hurricane-milton climate.gov/news-features/event-tracker/hurricane-milton-rapidly-intensifies-category-5-hurricane-becoming nhc.noaa.gov/refresh/graphics_at4+shtml/150217.shtml?cone
New Image Roofing Atlanta
2020 Howell Mill Rd NW Suite 232 Atlanta, GA30318 (404) 680-0041
To see the original version of this article, visit https://www.newimageroofingatlanta.com/hurricane-milton-resources-emergency-contacts-and-recovery-assistance/
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aurumacadicus · 9 months ago
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Tony gets personal mail a week after he sends off his Dear John letter. He stares at it like it's a venomous snake, hands shaking whenever he reaches to open it. Finally, he takes it to Pepper, too ashamed of the disgust he might see on Rhodey's face when he tells him why he's scared to open it. (Rhodey had received a Dear John letter on his first deployment and it left him gun-shy of starting relationships anymore. Tony had promised he'd never be like the girl who broke his heart, wait to break up in person, but the idea of faking it in letters for eighteen months just to drop Steve on his ass as soon as he saw him feels no better.)
"...Tony," Pepper whispers, shoving the letter back at him frantically. "He hasn't gotten your letter yet."
"HUH?!" Tony bellows, snatching the letter open, and crumples to the ground when he sees it laden with 'sweetheart's and 'baby's and 'honey's. There's also some really raunchy stuff that he is mortified that Pepper saw. He looks back up at her, clutching the letter to his chest. "What. What do I do."
"Well, I don't think you can write back at this point," Pepper says after a brief pause.
So Tony doesn't, even though he keeps reading and rereading Steve's letter. Steve just didn't know he'd been broken up with when he'd written it. When Tony's letter catches up to him, he'll learn why Tony never wrote back to the one he sent. It's embarrassing, but, what can he do.
But Steve's letter's keep coming, week after week, and it dawns on Tony, as he reads about the things Steve's been doing, and he finally gets the PS of "I know mail is dodgy where I am but when are you going to write back :(", that his Dear John letter... must have gotten lost in the mail. Steve doesn't know Tony broke up with him two months ago.
Tony sits down to write another one, but in the end, he can't quite bear to write 'I think it's better if we part ways' twice. Especially not when he's found himself enjoying Steve's letters. Part of the reason he'd wanted to break up was because he knew he was clingy, and he'd never managed a long-distance relationship before (although, he realizes as he stares at the blank paper, he'd never broken up with anyone because of it; he'd been the one broken up with). Plus, all of Steve's comrades had such involved family and friends when it came to their service. Tony doesn't have the leisure of going hard for the army when his company is trying to change its image. Steve had said he'd understood, but he'd also looked a little sad about it. He hadn't really wanted to break up, anyway, he figures, rubbing a hand over his face. He'd just been trying to get ahead of Steve dumping him.
So he sends Steve a letter. He tells him his other letter must have gotten lost, but there was nothing important in it. He'll try to write more often. He just didn't know how often Steve would get his letters. He pauses writing again after sending it off, but then he gets a letter back from Steve telling him he was sorry he missed the other letter, and yes, mail calls might be sparse, but he'd happily take a stack of letters with the same joy as the letters trickling in one by one.
Tony falls more in love with Steve through their letters. This is a different side of him than he's ever seen before, somehow impossibly sweeter and yet even more sincere. He understands why Steve insisted on letters instead of emails beyond the basic 'there's not always internet where we are.' He adores going back, reading over things, tracing his fingers over the ink as if he can read how Steve felt when he wrote. He can't wait for Steve to come back from his deployment so he can see him face-to-face, tell him all about his stupid first letter and how glad he was that it got lost. Steve will almost certainly laugh. Tony's confident in that now.
And then, all at once, the letters stop. Tony doesn't notice at first--sometimes mail is sporadic. Steve can't give him his exact location, but he knows enough that sometimes, bags of letters aren't important compared to bags of supplies. He keeps writing, hesitantly deciding that maybe they're just... moving locations? Or. It's too dangerous for mail. Which is scary. But Steve being deployed is scary in general anyway. So. And Steve said he'd like a stack of letters. He'll be delighted by the size of the stack he gets.
Then one day his letter comes back. He didn't even know the army did 'return to sender.' He stares at the envelope for a long time. Maybe he'd gotten the address wrong. Maybe they moved? He doesn't know how addresses work in deployment. He turns the letter over, to see if it's still sealed.
DEAR JOHN is scrawled on the back, in big, block letters.
Tony drops it as if it burned him, and he claps his hands over his mouth to muffle the wounded keen tearing at his throat.
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usafphantom2 · 4 months ago
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B-2 Stealth Bomber Demoes QUICKSINK Low Cost Maritime Strike Capability During RIMPAC 2024
The U.S. Air Force B-2 Spirit carried out a QUICKSINK demonstration during the second SINKEX (Sinking Exercise) of RIMPAC 2024. This marks the very first time a B-2 Spirit has been publicly reported to test this anti-ship capability.
David Cenciotti
B-2 QUICKSINK
File photo of a B-2 Spirit (Image credit: Howard German / The Aviationist)
RIMPAC 2024, the 29th in the series since 1971, sees the involvement of 29 nations, 40 surface ships, three submarines, 14 national land forces, over 150 aircraft, and 25,000 personnel. During the drills, two long-planned live-fire sinking exercises (SINKEXs) led to the sinking of two decommissioned ships: USS Dubuque (LPD 8), sunk on July 11, 2024; and the USS Tarawa (LHA 1), sunk on July 19. Both were sunk in waters 15,000 feet deep, located over 50 nautical miles off the northern coast of Kauai, Hawaii.
SINKEXs are training exercises in which decommissioned naval vessels are used as targets. These exercises allow participating forces to practice and demonstrate their capabilities in live-fire scenarios providing a unique and realistic training environment that cannot be replicated through simulations or other training methods.
RIMPAC 2024’s SINKEXs allowed units from Australia, Malaysia, the Netherlands, South Korea, and various U.S. military branches, including the Air Force, Army, and Navy, to enhance their skills and tactics as well as validate targeting, and live firing capabilities against surface ships at sea. They also helped improve the ability of partner nations to plan, communicate, and execute complex maritime operations, including precision and long-range strikes.
LRASM
During the sinking of the ex-Tarawa, a U.S. Navy F/A-18F Super Hornet deployed a Long-Range Anti-Ship Missile (LRASM). This advanced, stealthy cruise missile offers multi-service, multi-platform, and multi-mission capabilities for offensive anti-surface warfare and is currently deployed from U.S. Navy F/A-18 and U.S. Air Force B-1B aircraft.
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The AGM-158C LRASM, based on the AGM-158B Joint Air-to-Surface Standoff Missile – Extended Range (JASSM-ER), is the new low-observable anti-ship cruise missile developed by DARPA (Defense Advanced Research Projects Agency) for the U.S. Air Force and U.S. Navy. NAVAIR describes the weapon as a defined near-term solution for the Offensive Anti-Surface Warfare (OASuW) air-launch capability gap that will provide flexible, long-range, advanced, anti-surface capability against high-threat maritime targets.
QUICKSINK
Remarkably, in a collaborative effort with the U.S. Navy, a U.S. Air Force B-2 Spirit stealth bomber also took part in the second SINKEX, demonstrating a low-cost, air-delivered method for neutralizing surface vessels using the QUICKSINK. Funded by the Office of the Under Secretary of Defense for Research and Engineering, the QUICKSINK experiment aims to provide cost-effective solutions to quickly neutralize maritime threats over vast ocean areas, showcasing the flexibility of the joint force.
The Quicksink initiative, in collaboration with the U.S. Navy, is designed to offer innovative solutions for swiftly neutralizing stationary or moving maritime targets at a low cost, showcasing the adaptability of joint military operations for future combat scenarios. “Quicksink is distinctive as it brings new capabilities to both current and future Department of Defense weapon systems, offering combatant commanders and national leaders fresh methods to counter maritime threats,” explained Kirk Herzog, the program manager at the Air Force Research Laboratory (AFRL).
Traditionally, enemy ships are targeted using submarine-launched heavyweight torpedoes, which, while effective, come with high costs and limited deployment capabilities among naval assets. “Heavyweight torpedoes are efficient at sinking large ships but are expensive and deployed by a limited number of naval platforms,” stated Maj. Andrew Swanson, division chief of Advanced Programs at the 85th Test and Evaluation Squadron. “Quicksink provides a cost-effective and agile alternative that could be used by a majority of Air Force combat aircraft, thereby expanding the options available to combatant commanders and warfighters.”
Regarding weapon guidance, the QUICKSINK kit combines a GBU-31/B Joint Direct Attack Munition’s existing GPS-assisted inertial navigation system (INS) guidance in the tail with a new radar seeker installed on the nose combined with an IIR (Imaging Infra-Red) camera mounted in a fairing on the side. When released, the bomb uses the standard JDAM kit to glide to the target area and the seeker/camera to lock on the ship. Once lock on is achieved, the guidance system directs the bomb to detonate near the hull below the waterline.
Previous QUICKSINK demonstrations in 2021 and 2022 featured F-15E Strike Eagles deploying modified 2,000-pound GBU-31 JDAMs. This marks the very first time a B-2 Spirit has been publicly reported to test this anti-ship capability. Considering a B-2 can carry up to 16 GBU-31 JDAMs, this highlights the significant anti-surface firepower a single stealth bomber can bring to a maritime conflict scenario.
Quicksink
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F-15E Strike Eagle at Eglin Air Force Base, Fla. with modified 2,000-pound GBU-31 Joint Direct Attack Munitions as part of the second test in the QUICKSINK Joint Capability Technology Demonstration on April 28, 2022. (U.S. Air Force photo / 1st Lt Lindsey Heflin)
SINKEXs
“Sinking exercises allow us to hone our skills, learn from one another, and gain real-world experience,” stated U.S. Navy Vice Adm. John Wade, the RIMPAC 2024 Combined Task Force Commander in a public statement. “These drills demonstrate our commitment to maintaining a safe and open Indo-Pacific region.”
Ships used in SINKEXs, known as hulks, are prepared in strict compliance with Environmental Protection Agency (EPA) regulations under a general permit the Navy holds pursuant to the Marine Protection, Research, and Sanctuaries Act. Each SINKEX requires the hulk to sink in water at least 6,000 feet deep and more than 50 nautical miles from land.
In line with EPA guidelines, before a SINKEX, the Navy thoroughly cleans the hulk, removing all materials that could harm the marine environment, including polychlorinated biphenyls (PCBs), petroleum, trash, and other hazardous materials. The cleaning process is documented and reported to the EPA before and after the SINKEX.
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Royal Netherlands Navy De Zeven Provinciën-class frigate HNLMS Tromp (F803) fires a Harpoon missile during a long-planned live fire sinking exercise as part of Exercise Rim of the Pacific (RIMPAC) 2024. (Royal Netherlands Navy photo by Cristian Schrik)
SINKEXs are conducted only after the area is surveyed to ensure no people, marine vessels, aircraft, or marine species are present. These exercises comply with the National Environmental Policy Act and are executed following permits and authorizations under the Marine Mammal Protection Act, Endangered Species Act, and Marine Protection, Research, and Sanctuaries Act.
The ex-Dubuque, an Austin-class amphibious transport dock, was commissioned on September 1, 1967, and served in Vietnam, Operation Desert Shield, and other missions before being decommissioned in June 2011. The ex-Tarawa, the lead amphibious assault ship of its class, was commissioned on May 29, 1976, participated in numerous operations including Desert Shield and Iraqi Freedom, and was decommissioned in March 2009.
This year marks the second time a Tarawa-class ship has been used for a SINKEX, following the sinking of the ex-USS Belleau Wood (LHA 3) during RIMPAC 2006.
H/T Ryan Chan for the heads up!
About David Cenciotti
David Cenciotti is a journalist based in Rome, Italy. He is the Founder and Editor of “The Aviationist”, one of the world’s most famous and read military aviation blogs. Since 1996, he has written for major worldwide magazines, including Air Forces Monthly, Combat Aircraft, and many others, covering aviation, defense, war, industry, intelligence, crime and cyberwar. He has reported from the U.S., Europe, Australia and Syria, and flown several combat planes with different air forces. He is a former 2nd Lt. of the Italian Air Force, a private pilot and a graduate in Computer Engineering. He has written five books and contributed to many more ones.
@TheAviationist.com
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emanuel0602 · 5 months ago
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How Artificial Intelligence can both benefit us and affect humans?
The evolution of artificial intelligence (AI) brings both significant benefits and notable challenges to society.
And my opinion about artificial intelligence is that can benefit us but in a certain way it can also affect us.
And you will say why I think that is good because mainly it is because several aspects are going to change and for some things the help you give us will be useful but for other things it is going to screw us up very well.
And now I'm going to tell you some Advantages and some Disadvantages of AI
Benefits:
1. Automation and Efficiency: AI automates repetitive tasks, increasing productivity and freeing humans to focus on more complex and creative work. This is evident in manufacturing, customer service, and data analysis.
2. Healthcare Improvements: AI enhances diagnostics, personalizes treatment plans, and aids in drug discovery. For example, AI algorithms can detect diseases like cancer from medical images with high accuracy.
3. Enhanced Decision Making: AI systems analyze large datasets to provide insights and predictions, supporting better decision-making in sectors such as finance, marketing, and logistics.
4. Personalization: AI personalizes user experiences in areas like online shopping, streaming services, and digital advertising, improving customer satisfaction and engagement.
5. Scientific Research: AI accelerates research and development by identifying patterns and making predictions that can lead to new discoveries in fields like genomics, climate science, and physics.
Challenges:
1. Job Displacement: Automation can lead to job loss in sectors where AI can perform tasks traditionally done by humans, leading to economic and social challenges.
2. Bias and Fairness: AI systems can perpetuate and amplify existing biases if they are trained on biased data, leading to unfair outcomes in areas like hiring, law enforcement, and lending.
3. Privacy Concerns: The use of AI in data collection and analysis raises significant privacy issues, as vast amounts of personal information can be gathered and potentially misused.
4. Security Risks: AI can be used maliciously, for instance, in creating deepfakes or automating cyberattacks, posing new security threats that are difficult to combat.
5. Ethical Dilemmas: The deployment of AI in critical areas like autonomous vehicles and military applications raises ethical questions about accountability and the potential for unintended consequences.
Overall, while the evolution of AI offers numerous advantages that can enhance our lives and drive progress, it also requires careful consideration and management of its potential risks and ethical implications. Society must navigate these complexities to ensure AI development benefits humanity as a whole.
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jcmarchi · 10 months ago
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Future-Ready Enterprises: The Crucial Role of Large Vision Models (LVMs)
New Post has been published on https://thedigitalinsider.com/future-ready-enterprises-the-crucial-role-of-large-vision-models-lvms/
Future-Ready Enterprises: The Crucial Role of Large Vision Models (LVMs)
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What are Large Vision Models (LVMs)
Over the last few decades, the field of Artificial Intelligence (AI) has experienced rapid growth, resulting in significant changes to various aspects of human society and business operations. AI has proven to be useful in task automation and process optimization, as well as in promoting creativity and innovation. However, as data complexity and diversity continue to increase, there is a growing need for more advanced AI models that can comprehend and handle these challenges effectively. This is where the emergence of Large Vision Models (LVMs) becomes crucial.
LVMs are a new category of AI models specifically designed for analyzing and interpreting visual information, such as images and videos, on a large scale, with impressive accuracy. Unlike traditional computer vision models that rely on manual feature crafting, LVMs leverage deep learning techniques, utilizing extensive datasets to generate authentic and diverse outputs. An outstanding feature of LVMs is their ability to seamlessly integrate visual information with other modalities, such as natural language and audio, enabling a comprehensive understanding and generation of multimodal outputs.
LVMs are defined by their key attributes and capabilities, including their proficiency in advanced image and video processing tasks related to natural language and visual information. This includes tasks like generating captions, descriptions, stories, code, and more. LVMs also exhibit multimodal learning by effectively processing information from various sources, such as text, images, videos, and audio, resulting in outputs across different modalities.
Additionally, LVMs possess adaptability through transfer learning, meaning they can apply knowledge gained from one domain or task to another, with the capability to adapt to new data or scenarios through minimal fine-tuning. Moreover, their real-time decision-making capabilities empower rapid and adaptive responses, supporting interactive applications in gaming, education, and entertainment.
How LVMs Can Boost Enterprise Performance and Innovation?
Adopting LVMs can provide enterprises with powerful and promising technology to navigate the evolving AI discipline, making them more future-ready and competitive. LVMs have the potential to enhance productivity, efficiency, and innovation across various domains and applications. However, it is important to consider the ethical, security, and integration challenges associated with LVMs, which require responsible and careful management.
Moreover, LVMs enable insightful analytics by extracting and synthesizing information from diverse visual data sources, including images, videos, and text. Their capability to generate realistic outputs, such as captions, descriptions, stories, and code based on visual inputs, empowers enterprises to make informed decisions and optimize strategies. The creative potential of LVMs emerges in their ability to develop new business models and opportunities, particularly those using visual data and multimodal capabilities.
Prominent examples of enterprises adopting LVMs for these advantages include Landing AI, a computer vision cloud platform addressing diverse computer vision challenges, and Snowflake, a cloud data platform facilitating LVM deployment through Snowpark Container Services. Additionally, OpenAI, contributes to LVM development with models like GPT-4, CLIP, DALL-E, and OpenAI Codex, capable of handling various tasks involving natural language and visual information.
In the post-pandemic landscape, LVMs offer additional benefits by assisting enterprises in adapting to remote work, online shopping trends, and digital transformation. Whether enabling remote collaboration, enhancing online marketing and sales through personalized recommendations, or contributing to digital health and wellness via telemedicine, LVMs emerge as powerful tools.
Challenges and Considerations for Enterprises in LVM Adoption
While the promises of LVMs are extensive, their adoption is not without challenges and considerations. Ethical implications are significant, covering issues related to bias, transparency, and accountability. Instances of bias in data or outputs can lead to unfair or inaccurate representations, potentially undermining the trust and fairness associated with LVMs. Thus, ensuring transparency in how LVMs operate and the accountability of developers and users for their consequences becomes essential.
Security concerns add another layer of complexity, requiring the protection of sensitive data processed by LVMs and precautions against adversarial attacks. Sensitive information, ranging from health records to financial transactions, demands robust security measures to preserve privacy, integrity, and reliability.
Integration and scalability hurdles pose additional challenges, especially for large enterprises. Ensuring compatibility with existing systems and processes becomes a crucial factor to consider. Enterprises need to explore tools and technologies that facilitate and optimize the integration of LVMs. Container services, cloud platforms, and specialized platforms for computer vision offer solutions to enhance the interoperability, performance, and accessibility of LVMs.
To tackle these challenges, enterprises must adopt best practices and frameworks for responsible LVM use. Prioritizing data quality, establishing governance policies, and complying with relevant regulations are important steps. These measures ensure the validity, consistency, and accountability of LVMs, enhancing their value, performance, and compliance within enterprise settings.
Future Trends and Possibilities for LVMs
With the adoption of digital transformation by enterprises, the domain of LVMs is poised for further evolution. Anticipated advancements in model architectures, training techniques, and application areas will drive LVMs to become more robust, efficient, and versatile. For example, self-supervised learning, which enables LVMs to learn from unlabeled data without human intervention, is expected to gain prominence.
Likewise, transformer models, renowned for their ability to process sequential data using attention mechanisms, are likely to contribute to state-of-the-art outcomes in various tasks. Similarly, Zero-shot learning, allowing LVMs to perform tasks they have not been explicitly trained on, is set to expand their capabilities even further.
Simultaneously, the scope of LVM application areas is expected to widen, encompassing new industries and domains. Medical imaging, in particular, holds promise as an avenue where LVMs could assist in the diagnosis, monitoring, and treatment of various diseases and conditions, including cancer, COVID-19, and Alzheimer’s.
In the e-commerce sector, LVMs are expected to enhance personalization, optimize pricing strategies, and increase conversion rates by analyzing and generating images and videos of products and customers. The entertainment industry also stands to benefit as LVMs contribute to the creation and distribution of captivating and immersive content across movies, games, and music.
To fully utilize the potential of these future trends, enterprises must focus on acquiring and developing the necessary skills and competencies for the adoption and implementation of LVMs. In addition to technical challenges, successfully integrating LVMs into enterprise workflows requires a clear strategic vision, a robust organizational culture, and a capable team. Key skills and competencies include data literacy, which encompasses the ability to understand, analyze, and communicate data.
The Bottom Line
In conclusion, LVMs are effective tools for enterprises, promising transformative impacts on productivity, efficiency, and innovation. Despite challenges, embracing best practices and advanced technologies can overcome hurdles. LVMs are envisioned not just as tools but as pivotal contributors to the next technological era, requiring a thoughtful approach. A practical adoption of LVMs ensures future readiness, acknowledging their evolving role for responsible integration into business processes.
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monisha1199 · 1 year ago
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Your Journey Through the AWS Universe: From Amateur to Expert
In the ever-evolving digital landscape, cloud computing has emerged as a transformative force, reshaping the way businesses and individuals harness technology. At the forefront of this revolution stands Amazon Web Services (AWS), a comprehensive cloud platform offered by Amazon. AWS is a dynamic ecosystem that provides an extensive range of services, designed to meet the diverse needs of today's fast-paced world.
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This guide is your key to unlocking the boundless potential of AWS. We'll embark on a journey through the AWS universe, exploring its multifaceted applications and gaining insights into why it has become an indispensable tool for organizations worldwide. Whether you're a seasoned IT professional or a newcomer to cloud computing, this comprehensive resource will illuminate the path to mastering AWS and leveraging its capabilities for innovation and growth. Join us as we clarify AWS and discover how it is reshaping the way we work, innovate, and succeed in the digital age.
Navigating the AWS Universe:
Hosting Websites and Web Applications: AWS provides a secure and scalable place for hosting websites and web applications. Services like Amazon EC2 and Amazon S3 empower businesses to deploy and manage their online presence with unwavering reliability and high performance.
Scalability: At the core of AWS lies its remarkable scalability. Organizations can seamlessly adjust their infrastructure according to the ebb and flow of workloads, ensuring optimal resource utilization in today's ever-changing business environment.
Data Storage and Backup: AWS offers a suite of robust data storage solutions, including the highly acclaimed Amazon S3 and Amazon EBS. These services cater to the diverse spectrum of data types, guaranteeing data security and perpetual availability.
Databases: AWS presents a panoply of database services such as Amazon RDS, DynamoDB, and Redshift, each tailored to meet specific data management requirements. Whether it's a relational database, a NoSQL database, or data warehousing, AWS offers a solution.
Content Delivery and CDN: Amazon CloudFront, AWS's content delivery network (CDN) service, ushers in global content distribution with minimal latency and blazing data transfer speeds. This ensures an impeccable user experience, irrespective of geographical location.
Machine Learning and AI: AWS boasts a rich repertoire of machine learning and AI services. Amazon SageMaker simplifies the development and deployment of machine learning models, while pre-built AI services cater to natural language processing, image analysis, and more.
Analytics: In the heart of AWS's offerings lies a robust analytics and business intelligence framework. Services like Amazon EMR enable the processing of vast datasets using popular frameworks like Hadoop and Spark, paving the way for data-driven decision-making.
IoT (Internet of Things): AWS IoT services provide the infrastructure for the seamless management and data processing of IoT devices, unlocking possibilities across industries.
Security and Identity: With an unwavering commitment to data security, AWS offers robust security features and identity management through AWS Identity and Access Management (IAM). Users wield precise control over access rights, ensuring data integrity.
DevOps and CI/CD: AWS simplifies DevOps practices with services like AWS CodePipeline and AWS CodeDeploy, automating software deployment pipelines and enhancing collaboration among development and operations teams.
Content Creation and Streaming: AWS Elemental Media Services facilitate the creation, packaging, and efficient global delivery of video content, empowering content creators to reach a global audience seamlessly.
Migration and Hybrid Cloud: For organizations seeking to migrate to the cloud or establish hybrid cloud environments, AWS provides a suite of tools and services to streamline the process, ensuring a smooth transition.
Cost Optimization: AWS's commitment to cost management and optimization is evident through tools like AWS Cost Explorer and AWS Trusted Advisor, which empower users to monitor and control their cloud spending effectively.
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In this comprehensive journey through the expansive landscape of Amazon Web Services (AWS), we've embarked on a quest to unlock the power and potential of cloud computing. AWS, standing as a colossus in the realm of cloud platforms, has emerged as a transformative force that transcends traditional boundaries.
As we bring this odyssey to a close, one thing is abundantly clear: AWS is not merely a collection of services and technologies; it's a catalyst for innovation, a cornerstone of scalability, and a conduit for efficiency. It has revolutionized the way businesses operate, empowering them to scale dynamically, innovate relentlessly, and navigate the complexities of the digital era.
In a world where data reigns supreme and agility is a competitive advantage, AWS has become the bedrock upon which countless industries build their success stories. Its versatility, reliability, and ever-expanding suite of services continue to shape the future of technology and business.
Yet, AWS is not a solitary journey; it's a collaborative endeavor. Institutions like ACTE Technologies play an instrumental role in empowering individuals to master the AWS course. Through comprehensive training and education, learners are not merely equipped with knowledge; they are forged into skilled professionals ready to navigate the AWS universe with confidence.
As we contemplate the future, one thing is certain: AWS is not just a destination; it's an ongoing journey. It's a journey toward greater innovation, deeper insights, and boundless possibilities. AWS has not only transformed the way we work; it's redefining the very essence of what's possible in the digital age. So, whether you're a seasoned cloud expert or a newcomer to the cloud, remember that AWS is not just a tool; it's a gateway to a future where technology knows no bounds, and success knows no limits.
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c-cracks · 2 years ago
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SteamCloud
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So I've been doing some good old HackTheBox machines to refresh a little on my hacking skills and this machine was a very interesting one!
Exploitation itself wasn't particularly difficult; what was, however, was finding information on what I needed to do! Allow me to explain the process. :)
Enumeration
As is standard, I began with an nmap scan on SteamCloud:
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Other than OpenSSH being outdated, all that I could really see was the use of various web servers. This led me to believe that there was a larger app running on the server, each service interacting with a different component of the app.
I performed some initial checks on each of these ports and found an API running on port 8443:
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I noted the attempt to authenticate a user referred to as 'system:anonymous', originally thinking these could be credentials to another component of the application.
Some directory scans on different ports also revealed the presence of /metrics at port 10249 and /version at port 8443. Other than that, I really couldn't find anything and admittedly I was at a loss for a short while.
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This is where I realized I'm an actual moron and didn't think to research the in-use ports. xD A quick search for 'ports 8443, 10250' returns various pages referring to Kubernetes. I can't remember precisely what page I checked but Oracle provides a summary of the components of a Kubernetes deployment.
Now that I had an idea of what was being used on the server, I was in a good place to dig further into what was exploitable.
Seeing What's Accessible
Knowing absolutely nothing about Kubernetes, I spent quite a while researching it and common vulnerabilities found in Kubernetes deployments. Eduardo Baitello provides a very informative article on attacking Kubernetes through the Kubelet API at port 10250.
With help from this article, I discovered that I was able to view pods running on the server, in addition to being able to execute commands on the kube-proxy and nginx pods. The nginx pod is where you'll find the first flag. I also made note of the token I discovered here, in addition to the token from the kube-proxy pod (though this isn't needed):
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After finding these tokens, I did discover that the default account had permissions to view pods running in the default namespace through the API running on port 8443 (/api/v1/namespaces/default/pods) but I had no awareness of how this could be exploited.
If I had known Kubernetes and the workings of their APIs, I would have instantly recognised that this is the endpoint used to also add new pods to Kubernetes, but I didn't! Due to this, I wasted more time than I care to admit trying other things such as mounting the host filesystem to one of the pods I can access and establishing a reverse shell to one of the pods.
I did initially look at how to create new pods too; honestly there's very little documentation on using the API on port 8443 directly. Every example I looked at used kubectl, a commandline tool for managing Kubernetes.
Exploitation (Finally!)
After a while of digging, I finally came across a Stack Overflow page on adding a pod through the API on port 8443.
Along with this, I found a usable YAML file from Raesene in an article on Kubernetes security. I then converted this from YAML to JSON and added the pod after some minor tweaks.
My first attempt at adding a pod was unsuccessful- the pod was added, but the containers section was showing as null
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However, it didn't take me long to see that this was due to the image I had specified in the original YAML file. I simply copied the image specified in the nginx pod to my YAML file and ended up with the following:
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I saved the json output to a file named new-pod2.json and added the second pod.
curl -k -v -X POST -H "Authorization: Bearer <nginx-token>" -H "Content-Type: application/json" https://steamcloud.htb:8443/api/v1/namespaces/default/pods [email protected]
This time, the pod was added successfully and I was able to access the host filesystem through 'le-host'
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The Vulnerability
The main issue here that made exploitation possible was the ability to access the Kubelet API on port 10250 without authorization. This should not be possible. AquaSec provide a useful article on recommendations for Kubernetes security.
Conclusion
SteamCloud was a relatively easy machine to exploit; what was difficult was finding information on the Kubernetes APIs and how to perform certain actions. It is one of those that someone with experience in the in-use technologies would have rooted in a matter of minutes; for a noob like me, the process wasn't so straightforward, particularly with information on Kubernetes being a little difficult to find! I've only recently returned to hacking, however, which might have contributed to my potential lack of Google Fu here. ^-^
I very much enjoyed the experience, however, and feel I learned the fundamentals of testing a Kubernetes deployment which I can imagine will be useful at some point in my future!
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global-research-report · 7 hours ago
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Elevate Your Business with the Power of Cloud Computing Technologies
Cloud Computing Industry Overview
The global cloud computing market size is estimated to reach USD 2,390.18 billion by 2030, growing at a CAGR of 21.2% from 2024 to 2030, according to the recent reports of Grand View Research, Inc. The market is experiencing significant growth fueled by several key factors. Firstly, the rising adoption of cloud-native applications across diverse sectors like banking and supply chain automation is driving demand. These applications offer businesses a faster and more efficient way to develop, manage, and roll out web services. For instance, in June 2023, First Abu Dhabi Bank (FAB) partnered with IBM to migrate its applications to the cloud. This move will enable FAB to optimize its technology infrastructure and deliver a seamless digital experience for its customers. Cloud adoption empowers businesses with greater agility and scalability, allowing them to adapt more effectively to changing market demands and customer needs.
Secondly, the increasing use of cutting-edge technologies like Artificial Intelligence (AI), Machine Learning (ML), and 5G is further propelling the market. These technologies require immense data processing power and storage capabilities, which cloud computing solutions provide readily. Businesses can leverage the cloud to efficiently store, access, and manage the vast amount of data generated by modern technologies like smartphones, computers, and the Internet. This data is crucial for businesses to personalize services and deliver tailored experiences to their consumers.
In March 2023, NVIDIA Corporation, a leading GPU provider, announced cloud services that empower businesses to refine, operate, and build custom large language and generative AI models. These services, utilized by companies like Morningstar and Getty Images, showcase the cloud's role in lowering technological barriers and enabling advancements in AI across various industries. Cloud computing provides the necessary infrastructure for businesses to handle complex computations associated with AI applications like personalized recommendations and data analysis.
Gather more insights about the market drivers, restrains and growth of the Cloud Computing Market
The market growth is also driven by continuous innovation and expansion. Cloud service providers are constantly developing new solutions, services, and workloads to enhance their offerings and solidify their market positions. Additionally, prominent players are expanding their reach globally by opening data centers in new regions. This facilitates digital transformation in developing countries and expands the market potential for cloud computing solutions.
In June 2023, Microsoft Corporation announced the launch of its first Italian cloud region. This move provides Italian organizations with access to scalable, secure, and readily available cloud services. By establishing data centers in new regions, cloud providers cater to the growing demand for digital solutions and contribute to economic growth in those areas. The combined forces of application adoption, data demands, technological advancements, and continuous innovation ensure the continued expansion of the market in the coming years.
Browse through Grand View Research's Next Generation Technologies Industry Research Reports.
The global rope access services market size was valued at USD 3.24 billion in 2024 and is projected to grow at a CAGR of 8.4% from 2025 to 2030. 
The global virtual influencer market size was estimated at USD 6.06 billion in 2024 and is projected to grow at a CAGR of 40.8% from 2025 to 2030. 
Cloud Computing Market Segmentation
Grand View Research has segmented the global cloud computing market based on service, deployment, workload, enterprise size, end-use, and region:
Cloud Computing Service Outlook (Revenue, USD Billion, 2018 - 2030)
Infrastructure as a service (IaaS)
Platform as a service (PaaS)
Software as a service (SaaS)
Cloud Computing Deployment Outlook (Revenue, USD Billion, 2018 - 2030)
Public
Private
Hybrid
Cloud Computing Workload Outlook (Revenue, USD Billion, 2018 - 2030)
Application Development & Testing
Data Storage & Backup
Resource Management
Orchestration Services
Others
Cloud Computing Enterprise Size Outlook (Revenue, USD Billion, 2018 - 2030)
Large Enterprises
Small & Medium Enterprises
Cloud Computing End-use Outlook (Revenue, USD Billion, 2018 - 2030)
BFSI
IT & Telecom
Retail & Consumer Goods
Manufacturing
Energy & Utilities
Healthcare
Media & Entertainment
Government & Public Sector
Others
Cloud Computing Regional Outlook (Revenue, USD Billion, 2018 - 2030)
North America
US
Canada
Mexico
Europe
UK
Germany
France
Asia Pacific
China
Japan
India
South Korea
Australia
Latin America
Brazil
Middle East & Africa (MEA)
United Arab Emirates (UAE)
Saudi Arabia
South Africa
Key Companies profiled:
Alibaba Cloud
Amazon Web Services, Inc.
CloudHesive
Coastal Cloud
DigitalOcean
Google
GroundCloud
IBM
Microsoft Azure
Oracle Cloud
Rackspace Technology, Inc.
Salesforce, Inc.
Tencent
The Descartes Systems Group Inc.
VMware LLC
Key Cloud Computing Company Insights
Some of the key companies operating in the market include Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and Alibaba Cloud among others are some of the leading participants in the cloud computing market.
Amazon Web Services (AWS) is one of the most extensive and popular cloud platforms globally, providing a broad range of on-demand cloud computing services and APIs to meet the requirements of individuals, businesses, and governments of any size. With an extensive global network of data centers and a convenient "pay-as-you-go" pricing structure, AWS remains the preferred choice for many who seek trustworthy and adaptable cloud solutions.
Microsoft Azure has established itself as a leading platform for developer solutions. It is popular among developers who build cloud-based applications due to its excellent integration with Microsoft's products and developer tools. Furthermore, Azure's security features are robust, and it offers hybrid cloud solutions that meet the needs of enterprises, making it a strong contender in the market.
GroundCloud, and Coastal Cloud are some of the emerging market participants in the cloud computing market.
GroundCloud prioritizes renewable energy sources to power their data centers, making them an appealing option for environmentally conscious businesses seeking sustainable cloud solutions.
Coastal Cloud is a specialist provider of cloud solutions tailored to handle large media files, ensuring efficient content production, storage, and delivery for the media and entertainment industry.
Recent Developments
In April 2024, Google unveiled a custom-designed Arm-based server chip named Axion. This chip aims to revolutionize cloud computing by making it more affordable. This moves positions Google alongside competitors like Amazon and Microsoft who have already embraced similar strategies. With the launch expected later in 2024, Google plans to utilize Axion for its YouTube ad workloads. The news has generated excitement, with customer Snap expressing early interest in this innovative technology.
In January 2024, American Tower and IBM Join Forces to Empower Businesses with Cutting-Edge Cloud Solutions. This collaboration aims to revolutionize how businesses approach innovation and customer experiences. American Tower will integrate IBM's hybrid cloud technology and Red Hat OpenShift into its existing Access Edge Data Center network. This combined offering will provide enterprises with powerful tools to leverage the potential of technologies like IoT, 5G, AI, and network automation. By working together, American Tower and IBM will empower businesses to meet the ever-evolving demands of their customers in the age of digital transformation.
In January 2024, Eviden and Microsoft joined forces for a five-year strategic partnership. This collaboration expands on their existing relationship by bringing innovative Microsoft Cloud and AI solutions to diverse industries, which aligns with Eviden's broader alliance strategy of solidifying existing partnerships and building new ones to strengthen its global network.
Order a free sample PDF of the Cloud Computing Market Intelligence Study, published by Grand View Research.
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fronzennews · 22 hours ago
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Microsoft Launches Azure AI Foundry for Seamless AI Development
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Discover the launch of Azure AI Foundry at Microsoft Ignite 2024, a unified platform designed to simplify AI development and management for businesses of all sizes.
Unified Platform and Enhanced User Interface
Explore how the Azure AI Foundry portal revolutionizes user experience by offering streamlined navigation and integration of AI services. Transition from Azure AI Studio Understand the rebranding from Azure AI Studio to Azure AI Foundry and the rationale behind the change. This rebranding reflects Microsoft's commitment to providing a more cohesive solution that combines various AI tools into a single, comprehensive platform. Intuitive Navigation for Developers and IT Administrators Learn about the new UI enhancements that make it easier for users to discover and manage AI capabilities. The revamped interface enables faster access to tools and functionalities, thus improving productivity in application development and project management.
Comprehensive Toolchain and SDK
An overview of the Azure AI Foundry SDK and its role in providing a unified development toolchain for creating intelligent applications. This SDK is instrumental in guiding developers from initial prototypes to fully operational AI solutions. Compatibility with Popular Coding Environments Details on how Azure AI Foundry integrates with tools like GitHub, Visual Studio, and Copilot Studio, enhancing productivity. By positioning Azure AI features directly within these widely-used development environments, Microsoft aims to streamline the workflow for developers, reducing the need to switch between platforms.
Expanded Model Catalog and Collaborations
Delve into the diverse AI model catalog and collaborations that cater to specific industry needs. Azure AI Foundry showcases a broadened range of AI models designed to address unique challenges across multiple sectors. Industry-Specific Solutions Examine specialized AI solutions from partners in healthcare, manufacturing, and finance available in the expanded model catalog. Notable collaborators such as Bria, NTT DATA, Bayer, and others contribute tailored models that enhance the relevance and effectiveness of AI applications within these sectors. Collaborations to Enhance Customization Learn about new partnerships aimed at accelerating AI model customization and usability. Collaborations with organizations like Weights & Biases, Gretel, Scale AI, and Statsig are intended to optimize the process of adapting AI solutions to meet specific organizational needs.
Advanced AI Capabilities
A high-level overview of key advanced AI features available within Azure AI Foundry. The platform boasts several tools that empower developers to leverage cutting-edge AI technologies in their projects. Azure AI Agent Service Details on how this service automates business processes, freeing developers to focus on strategic initiatives. By harnessing the power of AI agents, companies can streamline tasks that previously demanded substantial manpower. Azure AI Search Enhancements Explore the improvements in retrieval-augmented generation and vector search within Azure Databases. These enhancements make it easier for users to retrieve more relevant data while also enabling faster and more efficient searches. Azure AI Content Understanding Discuss the preview of features that facilitate the development of multimodal applications. This capability allows developers to integrate and analyze various types of content—text, audio, images, and video—within a single application framework.
Responsible AI Tools
Understand the importance of compliance and safety in AI development with Azure AI Foundry’s new responsible tools. These tools are designed to help organizations navigate the evolving landscape of ethical AI deployment. AI Reports for Performance Insights An overview of how AI Reports provide essential performance metrics for AI models. This feature offers a clear perspective on how AI systems are functioning and the outcomes they are generating. Risk and Safety Evaluations for Image Applications Details on how this tool helps mitigate risks associated with AI applications that involve images. By assessing potential risks, organizations can ensure that their AI systems operate safely and responsibly.
Speech and Language Integration
Unpack the new capabilities and playgrounds for integrating speech and language features in AI applications. Azure AI Foundry empowers developers to enhance user interaction by utilizing state-of-the-art speech and language processing tools. Real-time Speech-to-Text and Translation Explore how Azure AI Speech supports real-time speech recognition and translation features within applications. The inclusion of these capabilities allows for a more dynamically inclusive user experience. Integration of Azure OpenAI Studio Discover the added value of the Azure OpenAI Studio integration for accessing various AI models and tools. This integration enhances the potential for users to experiment with different AI-driven functionalities directly through the Azure AI Foundry portal.
Accessibility and Learning Experiences
Highlight the accessibility improvements and educational features of Azure AI Foundry that enhance user experience. Microsoft has taken significant steps to ensure that the platform is accessible to a diverse audience. Enhanced Documentation Access Discuss the introduction of a new help pane designed to facilitate easier access to documentation and resources. This feature is aimed at improving the learning curve for new users and developers engaging with the platform. User-Friendly Interface Enhancements Examine how the user interface was reimagined to be more intuitive and accessible to all users. By redesigning the UI, Microsoft aims to foster a more inviting environment for developers and users across different technical backgrounds.
Serverless GPUs and Dynamic Sessions
Learn about innovative offerings in Azure Container Apps that streamline GPU usage and session management. These features are meant to provide developers with more flexibility and efficiency in deploying AI applications. Serverless GPU Feature Overview Explore the benefits of the serverless GPU preview for flexible, on-demand GPU resources. This innovation allows developers to scale AI workloads efficiently without the overhead of managing physical resources. Transforming AI App Development with Dynamic Sessions Details on how dynamic session management enhances the development process for AI applications. By enabling more adaptable session control, developers can optimize user interactions and performance across various applications.
Conclusion
In conclusion, Azure AI Foundry stands as a comprehensive platform that delivers state-of-the-art AI capabilities tailored for businesses looking to leverage the power of AI efficiently and responsibly. Encourage readers to explore Azure AI Foundry and its features to transform their AI development journey today! For more information and similar updates, please visit my blog at FROZENLEAVES NEWS. `` Read the full article
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subb01 · 1 day ago
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How to Build Your First Application on AWS
Amazon Web Services (AWS) provides a robust platform for building, deploying, and scaling applications. Whether you're a developer or a beginner in cloud computing, AWS offers tools and services to simplify the process. This guide will walk you through building your first application on AWS step by step.
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Why Build Applications on AWS?
Scalability: Handle traffic spikes effortlessly.
Cost-Efficiency: Pay only for what you use.
Reliability: AWS ensures uptime with its global infrastructure.
Ease of Use: User-friendly services like Elastic Beanstalk and Lightsail simplify development.
Step 1: Set Up Your AWS Account
Before you begin, create an AWS account if you don’t already have one.
Go to AWS Signup Page.
Enter your email, set up your password, and provide payment details (the Free Tier allows free usage for many services).
Enable MFA (Multi-Factor Authentication) for added security.
Step 2: Choose Your Application Type
Define the type of application you want to build:
Web Application: A dynamic website or backend for mobile apps.
API: Create RESTful APIs using AWS Lambda or API Gateway.
Static Website: Host HTML, CSS, and JavaScript files.
Step 3: Select the Right AWS Services
AWS offers numerous services, but for a basic application, these are the essentials:
1. Compute Service (EC2 or Elastic Beanstalk):
Amazon EC2: Virtual machines for full control over deployment.
Elastic Beanstalk: Managed service to deploy web apps quickly.
2. Storage Service (S3):
Use Amazon S3 to store application assets, such as images and data files.
3. Database Service (RDS or DynamoDB):
RDS: For relational databases like MySQL or PostgreSQL.
DynamoDB: For NoSQL databases.
4. Networking (Route 53):
Manage DNS and custom domains for your app.
Step 4: Develop Locally
Build the initial version of your application on your local machine:
Tech Stack Suggestions:
Frontend: HTML, CSS, JavaScript, or frameworks like React and Angular.
Backend: Node.js, Python (Django/Flask), or Java (Spring Boot).
Database: SQLite for development, migrate to RDS or DynamoDB for production.
Step 5: Deploy Your Application
Once your app is ready, deploy it to AWS. Here's how:
Option 1: Using Elastic Beanstalk (Easiest Method):
Log in to the AWS Management Console.
Navigate to Elastic Beanstalk.
Create a new application, upload your app’s code (ZIP file), and launch it.
AWS automatically provisions EC2 instances, sets up a load balancer, and configures scaling.
Option 2: Using Amazon EC2 (Manual Method):
Launch an EC2 instance from the AWS Console.
SSH into the instance and install necessary dependencies (e.g., Node.js or Python).
Deploy your application files to the server.
Configure a web server like Nginx or Apache to serve your application.
Option 3: Using AWS Lightsail (For Beginners):
Navigate to AWS Lightsail.
Create a new instance with pre-configured blueprints like Node.js or WordPress.
Upload and run your application files.
Step 6: Connect Your Domain
Point your domain name to your application using Route 53:
Purchase or transfer a domain to AWS Route 53.
Set up an A record to point to your application’s public IP or load balancer.
Step 7: Test Your Application
Before going live, thoroughly test your application:
Functionality Testing: Ensure all features work as intended.
Load Testing: Simulate high traffic using tools like AWS CloudWatch or Locust.
Security Testing: Check for vulnerabilities using AWS Inspector.
Step 8: Monitor and Optimize
AWS provides tools to monitor performance and optimize your application:
AWS CloudWatch: Monitor app performance and resource usage.
AWS Trusted Advisor: Optimize costs, improve performance, and ensure security.
Auto Scaling: Scale resources automatically based on traffic.
Step 9: Scale and Grow
As your application gains users, AWS makes it easy to scale:
Horizontal Scaling: Add more servers via load balancers.
Vertical Scaling: Upgrade server specifications.
Global Distribution: Use AWS CloudFront to serve content globally with low latency.
Start your AWS journey today! Watch this step-by-step YouTube Live Session on AWS Application Development for detailed guidance and live demonstrations.
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Generative AI in the Cloud: Best Practices for Seamless Integration
Generative AI, a subset of artificial intelligence capable of producing new and creative content, has seen widespread adoption across industries. From generating realistic images to creating personalized marketing content, its potential is transformative. However, deploying and managing generative AI applications can be resource-intensive and complex. Cloud computing has emerged as the ideal partner for this technology, providing the scalability, flexibility, and computing power required.
This blog explores best practices for seamlessly integrating generative AI development services with cloud consulting services, ensuring optimal performance and scalability.
1. Understanding the Synergy Between Generative AI and Cloud Computing
Why Generative AI Needs the Cloud
Generative AI models are data-intensive and require substantial computational resources. For instance, training models like GPT or image generators like DALL-E involves processing large datasets and running billions of parameters. Cloud platforms provide:
Scalability: Dynamically adjust resources based on workload demands.
Cost Efficiency: Pay-as-you-go models to avoid high upfront infrastructure costs.
Accessibility: Centralized storage and computing make AI resources accessible globally.
How Cloud Consulting Services Add Value
Cloud consulting services help businesses:
Design architectures tailored to AI workloads.
Optimize cost and performance through resource allocation.
Navigate compliance and security challenges.
2. Choosing the Right Cloud Platform for Generative AI
Factors to Consider
When selecting a cloud platform for generative AI, focus on the following factors:
GPU and TPU Support: Look for platforms offering high-performance computing instances optimized for AI.
Storage Capabilities: Generative AI models require fast and scalable storage.
Framework Compatibility: Ensure the platform supports AI frameworks like TensorFlow, PyTorch, or Hugging Face.
Top Cloud Platforms for Generative AI
AWS (Amazon Web Services): Offers SageMaker for AI model training and deployment.
Google Cloud: Features AI tools like Vertex AI and TPU support.
Microsoft Azure: Provides Azure AI and machine learning services.
IBM Cloud: Known for its AI lifecycle management tools.
Cloud Consulting Insight
A cloud consultant can assess your AI workload requirements and recommend the best platform based on budget, scalability needs, and compliance requirements.
3. Best Practices for Seamless Integration
3.1. Define Clear Objectives
Before integrating generative AI with the cloud:
Identify use cases (e.g., content generation, predictive modeling).
Outline KPIs such as performance metrics, scalability goals, and budget constraints.
3.2. Optimize Model Training
Training generative AI models is resource-heavy. Best practices include:
Preprocessing Data in the Cloud: Use cloud-based tools for cleaning and organizing training data.
Distributed Training: Leverage multiple nodes for faster training.
AutoML Tools: Simplify model training using tools like Google Cloud AutoML or AWS AutoPilot.
3.3. Adopt a Cloud-Native Approach
Design generative AI solutions with cloud-native principles:
Use containers (e.g., Docker) for portability.
Orchestrate workloads with Kubernetes for scalability.
Employ serverless computing to eliminate server management.
3.4. Implement Efficient Resource Management
Cloud platforms charge based on usage, so resource management is critical.
Use spot instances or reserved instances for cost savings.
Automate scaling to match resource demand.
Monitor usage with cloud-native tools like AWS CloudWatch or Google Cloud Monitoring.
3.5. Focus on Security and Compliance
Generative AI applications often handle sensitive data. Best practices include:
Encrypt data at rest and in transit.
Use Identity and Access Management (IAM) policies to restrict access.
Comply with regulations like GDPR, HIPAA, or SOC 2.
3.6. Test Before Full Deployment
Run pilot projects to:
Assess model performance on real-world data.
Identify potential bottlenecks in cloud infrastructure.
Gather feedback for iterative improvement.
4. The Role of Cloud Consulting Services in Integration
Tailored Cloud Architecture Design
Cloud consultants help design architectures optimized for AI workloads, ensuring high availability, fault tolerance, and cost efficiency.
Cost Management and Optimization
Consultants analyze usage patterns and recommend cost-saving strategies like reserved instances, discounts, or rightsizing resources.
Performance Tuning
Cloud consultants monitor performance and implement strategies to reduce latency, improve model inference times, and optimize data pipelines.
Ongoing Support and Maintenance
From updating AI frameworks to scaling infrastructure, cloud consulting services provide end-to-end support, ensuring seamless operation.
5. Case Study: Generative AI in the Cloud
Scenario: A marketing agency wanted to deploy a generative AI model to create personalized ad campaigns for clients. Challenges:
High computational demands for training models.
Managing fluctuating workloads during campaign periods.
Ensuring data security for client information.
Solution:
Cloud Platform: Google Cloud was chosen for its TPU support and scalability.
Cloud Consulting: Consultants designed a hybrid cloud solution combining on-premises resources with cloud-based training environments.
Implementation: Auto-scaling was configured to handle workload spikes, and AI pipelines were containerized for portability. Results:
40% cost savings compared to an on-premise solution.
50% faster campaign deployment times.
Enhanced security through end-to-end encryption.
6. Emerging Trends in Generative AI and Cloud Integration
6.1. Edge AI and Generative Models
Generative AI is moving towards edge devices, allowing real-time content creation without relying on centralized cloud servers.
6.2. Multi-Cloud Strategies
Businesses are adopting multi-cloud setups to avoid vendor lock-in and optimize performance.
6.3. Federated Learning in the Cloud
Cloud platforms are enabling federated learning, allowing AI models to learn from decentralized data sources while maintaining privacy.
6.4. Green AI Initiatives
Cloud providers are focusing on sustainable AI practices, offering carbon-neutral data centers and energy-efficient compute instances.
7. Future Outlook: Generative AI and Cloud Services
The integration of generative AI development services with cloud consulting services will continue to drive innovation. Businesses that embrace best practices will benefit from:
Rapid scalability to meet growing demands.
Cost-effective deployment of cutting-edge AI solutions.
Enhanced security and compliance in a competitive landscape.
With advancements in both generative AI and cloud technologies, the possibilities for transformation are endless.
Conclusion
Integrating generative AI with cloud computing is not just a trend—it’s a necessity for businesses looking to innovate and scale. By leveraging the expertise of cloud consulting services, organizations can ensure seamless integration while optimizing costs and performance.
Adopting the best practices outlined in this blog will help businesses unlock the full potential of generative AI in the cloud, empowering them to create, innovate, and thrive in a rapidly evolving digital landscape.
Would you like to explore implementation strategies or specific cloud platform comparisons in detail?
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internsipgate · 2 days ago
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Top 10 Java Frameworks to Learn in 2025
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As we head into 2025, Java continues to be a leading programming language for building robust, scalable, and secure applications. One of the reasons for its enduring popularity is its vast ecosystem of frameworks. These frameworks help developers by offering pre-built solutions to common problems, saving time and ensuring best practices.
In this blog, we will explore the top 10 Java frameworks that every developer should learn in 2025 to stay relevant and improve their skills.
1. Spring Framework
Spring is the most popular Java framework, known for its comprehensive infrastructure support for developing Java applications. It's especially beneficial for enterprise-level projects.
Why Learn?
Spring simplifies Java development with powerful tools like dependency injection, aspect-oriented programming, and transaction management.
Key Features:
Spring Boot for microservices development
Security via Spring Security
Integration with various databases via Spring Data
2. Hibernate
Hibernate is a powerful ORM (Object-Relational Mapping) framework that allows developers to interact with databases using Java objects instead of writing complex SQL queries.
Why Learn?
It's the go-to solution for Java developers working with databases, and it eliminates boilerplate code, making the development process faster.
Key Features:
Mapping between Java objects and database tables
Automatic table generation
Caching for faster performance
3. Jakarta EE (Formerly Java EE)
Jakarta EE is a set of specifications for developing large-scale, enterprise-level applications. Formerly known as Java EE, it's still widely used in industries that require secure and scalable solutions.
Why Learn?
Jakarta EE offers a rich set of APIs for building web applications, including JPA, EJB, and JAX-RS.
Key Features:
Enterprise-level capabilities
Mature and stable
Comprehensive API for web services and more
4. Micronaut
Micronaut is a newer framework designed for building modern microservices. It's lightweight and offers fast startup times, making it a great choice for serverless applications and cloud deployments.
Why Learn?
Micronaut is built for the future of microservices architecture and is rapidly gaining popularity.
Key Features:
Native cloud support
Dependency injection
Low memory footprint
5. Quarkus
Quarkus is another modern, Kubernetes-native Java framework, specifically designed for containers and microservices. Its fast startup time and low memory consumption make it ideal for building cloud-native applications.
Why Learn?
Quarkus aims to make Java the best platform for building serverless and cloud-native applications, positioning itself as the future of Java development.
Key Features:
Seamless integration with Kubernetes
Developer productivity tools like live reload
Support for GraalVM native images
6. Apache Struts
Struts is an older but still popular Java framework for building web applications. It uses the MVC (Model-View-Controller) pattern to create clean, maintainable codebases.
Why Learn?
Though it’s older, Struts is still widely used in large enterprises for building robust web applications.
Key Features:
Rich tag libraries
Support for REST and AJAX
Strong integration with other Java technologies
7. JSF (JavaServer Faces)
JSF is a component-based UI framework for building web applications in Java. It provides reusable components that simplify front-end development.
Why Learn?
JSF is widely used in enterprise applications and integrates well with other Jakarta EE technologies.
Key Features:
Reusable UI components
Built-in support for AJAX
Seamless integration with back-end frameworks
8. Vaadin
Vaadin is a unique Java framework that allows developers to build modern, single-page web applications entirely in Java. It abstracts away front-end technologies like JavaScript, HTML, and CSS, allowing developers to focus solely on Java.
Why Learn?
Vaadin makes front-end development easier for Java developers who want to avoid dealing with front-end complexities.
Key Features:
All-in-one UI framework
Excellent for building single-page applications
Built-in components for responsive design
9. Play Framework
Play is a reactive web framework for Java and Scala that is designed for building scalable, lightweight applications. It’s especially popular among developers building real-time applications like chat systems.
Why Learn?
Play’s non-blocking, event-driven architecture makes it a top choice for high-performance applications.
Key Features:
Built-in support for asynchronous programming
Fast and scalable
RESTful web services integration
10. Grails
Grails is a full-stack web application framework that leverages Groovy, a dynamic language for the JVM, and provides powerful features such as dependency injection, ORM, and convention-over-configuration.
Why Learn?
Grails is a great choice for rapidly building web applications, offering an easy-to-learn syntax and a vibrant community.
Key Features:
Built on top of Spring Boot
Rich plugin ecosystem
Groovy-based, with Java compatibility
Conclusion
Java continues to evolve, and the frameworks built around it are constantly improving to meet modern development needs. Whether you're interested in microservices, web development, or enterprise applications, there's a Java framework that suits your needs. Learning one or more of these top 10 Java frameworks in 2025 will not only make you more versatile but also more competitive in the job market.
So, pick a framework, dive deep, and stay ahead of the curve!
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usafphantom2 · 1 year ago
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Saab delivers the first serial-produced Gripen E fighter to Sweden's Defense Material Administration
Fernando Valduga By Fernando Valduga 10/20/2023 - 09:08am Military, Saab
On Friday, October 6, an important milestone was surpassed when Saab delivered the first serially produced Gripen E aircraft to the FMV (Sweden Defense Material Administration), which will now operate the aircraft before delivering it to the Swedish Armed Forces.
In the past, two JAS39 Gripen E were delivered to FMV for use in flight test operations, but under the Saab operating license.
"I am very happy and pleased that we have reached this important milestone towards the implementation of the hunt. It is an important milestone and more deliveries will take place soon," says Lars Tossman, head of Saab's aeronautical business area.
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Lars Helmrich accompanied the development of the Gripen system for almost 30 years, first as a fighter pilot and then as commander of the Skaraborg F7 air flotilla. As the current head of FMV's aviation and space equipment business area, he is impressed with the aircraft that are now being delivered.
"The delivery means that FMV has now received all parts of the weapon system to operate the Gripen E independently," said Mattias Fridh, Head of Delivery Management for the Gripen Program. "Its technicians have received training on the Gripen E and have initial capabilities for flight line operations and maintenance. The support and training systems have already been delivered, and parts of the support systems delivered in 2022 were updated in August to match the new configuration."
So far, three aircraft have been delivered to the Swedish state, used in testing operations. From 2025, the plan is for FMV to deliver the JAS 39E to the Swedish Air Force. However, Air Force personnel are already, and have been since 2012, involved in development activities with both pilots and other personnel. It is an important part of the Swedish model to ensure that what the user receives is really necessary.
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“This is a very important step for deployment in the Swedish Armed Forces in 2025 at F7 Satenäs, and FMV has now applied for its own flight test authorization from the Swedish Military Aviation Safety Inspection. This is the culmination of intensive work in both development and production, where many employees have done a fantastic job."
In addition to Sweden and Brazil, which have already placed orders for JAS 39 E/F, several countries show interest in the system. Today, Gripen is operated by Hungary, the Czech Republic and Thailand through agreements with the Swedish government and FMV. Brazil and South Africa have business directly with Saab.
Tags: Military AviationFlygvapnet - Swedish Air ForceFMVGripen EJAS39 Gripensaab
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Fernando Valduga
Fernando Valduga
Aviation photographer and pilot since 1992, has participated in several events and air operations, such as Cruzex, AirVenture, Dayton Airshow and FIDAE. He has work published in specialized aviation magazines in Brazil and abroad. Uses Canon equipment during his photographic work in the world of aviation.
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embraystechnologies · 4 days ago
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Top Web Development Trends to Watch in 2024  
 Uncover the 9 game-changing web development trends in 2024 – stay ahead, stay competitive! 
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As the digital landscape evolves, businesses must stay ahead of emerging web development trends to remain competitive and meet customer expectations. In 2024, several technologies are reshaping the industry—from AI-driven innovations to Progressive Web Apps and voice search optimization—and businesses need to know and adopt them to take their online presence to the next level. Below are some of the most impactful web development trends 2024 and how they might create significant new approaches to digital experience.
1. Artificial Intelligence Integration
AI is one of the newest developments that change web development in real-time, through real personalization of users' experience, predictive analytics, and intelligent automation. Chatbots integrated with AI deliver instant customer support, resulting in faster responses to satisfied customers. Machine learning algorithms analyze user behavior to recommend applicable content, products, or services closer to the user's preference. This trend stands essential for most businesses seeking seamless user experiences.
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 2. Progressive Web Apps (PWAs)
PWAs combine the best of both worlds—web and mobile applications. They deliver the fastest, most reliable, and most engaging user experience cost-effectively compared with mobile apps. Unlike typical apps, PWAs can be accessed directly from a browser, including offline capabilities and push notifications.
 3. Voice Search Optimization
As more smart speakers and voice-enabled devices are deployed worldwide, websites must increasingly be optimized for voice search. When users type in a search bar, their questions tend to be shorter. Voice queries are lengthier and conversational. Thus, using NLP and semantic search algorithms, your website will rank better for voice-based queries.
 4. Cybersecurity Improved
As cyber threats evolve, businesses need robust security systems that securely guard user information and websites. Some of the features include SSL certificates, secure coding practices, and real-time threat monitoring, which are the only guarantees for safe online platforms.
 5. User-Centric Design and Accessibility
Good web development is defined by user experience. Nowadays, in 2024, a website is no longer just an inert entity but interacts with different users, is responsive, easy to use, and accessible even to people with disabilities. This implies not only the satisfaction of the user but also better placement in search engines.
 6. Green Web Hosting
Both companies and customers want sustainability. Green web hosting is a form of renewable energy powering the servers, reducing a website's carbon footprint. Implementing environmentally friendly methods demonstrates that a business cares about social responsibility, which reaches an audience that focuses on the environment.
 7. Micro-Frontends for Scalable Development
Complex front-end architecture, which can be quite hard to manage, is being simplified into smaller micro-frontends and is now in high demand. This allows development teams to work on different components independently, speed up deployment, and ensure scalability.
 8. 5G and Web Speed Optimization
With 5G technology becoming mainstream, web developers can focus on delivering richer, more interactive content without sacrificing speed. Websites optimized for 5G gain speedy loading times, improved multimedia experience, and enriched mobile usability.
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9. Streamlined Content Management using Headless CMS
Headless CMS options decouple the back-end content repository from the front-end presentation layer, hence highly flexible. This can benefit organizations managing content in several channels, such as websites, applications, and social media.
It's no longer about getting on or off the bandwagon because embracing the latest fads in web development matters for delivering value to your audience and, as a byproduct, helping to achieve business objectives. The possibilities are limitless. Let 2024 be the year you take your digital strategy to the next level.
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From voice search optimization to building a solid PWA, improving security measures, and achieving your digital goals, look no further than Embrays Technologies. Check out Embrays Technologies to see how we can serve you and elevate your digital life.
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govindhtech · 4 days ago
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Cognito Amazon’s New Features For Modern App Authentication
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Amazon Cognito advanced security features
I’m happy to inform a number of important changes to Cognito Amazon today. These improvements are meant to give your apps greater flexibility, enhanced security, and an improved user experience.
Here is a brief synopsis:
A brand-new developer-focused console environment that facilitates integration with well-known application frameworks for beginners
Presenting Managed Login: a collection of customization choices and a redesigned Cognito-managed drop-in sign-in and sign-up page
Passkey authentication and passwordless login are now supported by Cognito Amazon.
Additional pricing tier options to suit your use cases include the Lite, Essentials, and Plus tiers.
Image credit to AWS
A fresh console experience geared toward developers
With a short wizard and recommendations tailored to specific use cases, Amazon Cognito now provides a simplified getting started experience. With this new method, you may contact your end customers more quickly and effectively than ever before and set up configurations more quickly.
You can easily set up your application with the help of this new Cognito Amazon procedure. There are three stages to get started:
Decide what kind of application you must create.
Set up the sign-in options based on the kind of application you’re using.
To incorporate the sign-in and sign-up pages into your application, adhere to the guidelines.
Next, choose Create.
Image credit to AWS
Your application and a new user pool a user directory for authentication and authorization are then automatically created by Amazon Cognito. From here, you can either start using the sample code for your application or choose the View login page to examine your sign-in page. Additionally, Cognito Amazon provides comprehensive integration instructions for standard OpenID Connect (OIDC) and OAuth open-source libraries, as well as compatibility with major application frameworks.
This is your application’s updated overview dashboard. Important details are now available in the Details part of the user pool dashboard, along with a list of suggestions to assist you further your development.
The Managed Login function on this page allows you to personalize the sign-in and sign-up process for your users.
Presenting Managed Login
With the launch of Managed Login, Amazon Cognito offers even more customization options. For your business, Managed Login takes care of the heavy work of security, scalability, and availability. After integration, any future additions and security fixes are automatically applied without requiring additional code modifications.
With the help of this functionality, you can design unique sign-up and sign-in processes for your customers that blend in seamlessly with the rest of your business application.
You must assign a domain before you can utilize Managed Login. To give your consumers a recognizable domain name, you can either use a prefix domain, a randomly created Cognito Amazon domain subdomain, or your own custom domain.
After that, you can decide between the original Hosted UI and Managed login as your branding version.
The classic Hosted UI feature may be recognizable to you if you now utilize Amazon Cognito. A new set of web interfaces for sign-up and sign-in, multi-factor authentication, built-in responsiveness for various screen sizes, and password-reset capabilities for your user base are all features of Managed Login, an enhanced version of Hosted UI.
An array of API operations for programmatic configuration or deployment via infrastructure-as-code with Amazon Web Services CloudFormation, a new branding designer, and a no-code visual editor for managed login materials and style are all available with Managed Login.
You may alter how the entire user journey from sign-up and sign-in to password recovery and multi-factor authentication looks and feels by working with the branding designer. Before you run it, you can preview screens in various screen sizes and display modes with this feature’s handy shortcuts and real-time preview.Image credit to AWS
Support for passwordless login
Additionally, the Managed Login functionality provides pre-built connectors for passwordless authentication techniques, such as SMS OTP, email OTP (one-time password), and passkey signing. Better security than typical passwords is provided with passkey support, which enables users to authenticate using cryptographic keys that are safely saved on their devices. This feature enables you to create secure and low-friction authentication solutions without having to comprehend and use WebAuthn-related protocols.
This feature makes it easier for users to use your applications while upholding strong security standards by lowering the hassle that comes with traditional password-based sign-ins.
Additional pricing tier choices include Lite, Essentials, and Plus
Three new user pool feature tiers—Lite, Essentials, and Plus have been added to Cognito Amazon. The Essentials tier is the default tier for new user pools that customers create, and these tiers are made to accommodate various customer needs and use cases. With the ability to move between tiers as needed, this new tier structure also lets you select the best solution based on the needs of your application.
You can choose Feature plan from your application dashboard to see your current tier. Additionally, you can choose Settings from the menu.
You can choose to upgrade or downgrade your plan and get comprehensive details about each tier on this page.
Here is a brief synopsis of every tier:
Lite tier: This tier now includes pre-existing functionality including social identity provider integration, password-based authentication, and user registration. You can keep using these capabilities if you already use Cognito Amazon without changing your user pools.
Essentials tier: With the help of the Essentials tier’s ex:tensive authentication and access control tools, you can quickly and easily create safe, scalable, and personalized sign-up and sign-in processes for your application. In addition to providing Managed Login and passwordless login options via passkeys, email, or SMS, it has all the features of Lite. Additionally, Essentials allows you to disable password reuse and customize access tokens.
Plus Tier: It expands on the Essentials tier by emphasizing higher security requirements. It has all the essential functionality plus the ability to identify compromised credentials, protect against suspicious login activity, export user authentication event logs for threat analysis, and implement risk-based adaptive authentication.
Amazon Cognito pricing
The Lite, Essentials, and Plus levels’ prices are determined by the number of active users each month. Customers who are currently utilizing Cognito Amazon‘s advanced security features might want to think about upgrading to the Plus tier, which offers all of the advanced security features along with other benefits like passwordless access and up to 60% more savings than using the advanced security features alone.
Visit the Amazon Cognito pricing page to find out more about these new price tiers.
Things you should be aware of
Availability: With the exception of AWS GovCloud (US) Regions, all AWS Regions where Cognito Amazon is accessible offer the Essentials and Plus tiers.
Amazon Cognito free tier
Free tier for Lite and Essentials tiers: Users on the Lite and Essentials tiers are eligible for the free tier every month, which is perpetual. Both new and current Amazon Web Services users can access it indefinitely.
Customers can upgrade their user pools without advanced security features (ASF) in their current accounts to Essentials and pay the same price as Cognito user pools until November 30, 2025, with an extended pricing benefit for current customers. Customers must have had at least one monthly active user (MAU) on their accounts throughout the previous 12 months by 10:00 a.m. Pacific Time on November 22, 2024, to qualify. Until November 30, 2025, these customers can create new user pools with the Essentials tier for the same pricing as Cognito user pools in those accounts.
With these enhancements, you can use Cognito Amazon to create safe, scalable, and adaptable authentication solutions for your apps.
Read more on govindhtech.com
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