#Data Center Costs

[pebblegalaxy]

VergeIO Announces VMware Exit Strategy with IOmigrate Migration Tool

On March 7th, 2023, VergeIO, an Ultraconverged Infrastructure company, announced the immediate release of its VMware Exit Strategy in response to customer frustration with VMware’s pricing policies and concerns over Broadcom’s impending acquisition. The program offers a competitive trade-in to VergeOS and a seamless migration service powered by IOmigrate, a new feature. With the migration tool,…

[mars-ipan]

ok so i wanted to read your big powerpoint. unfortunately my gogle drive couldnt open a file of such magnitude. the advice gogle slides gave me was to literally "try opening a smaller file". so i downloaded the bible (the komahina one, not the christianity one) onto my laptop. Now you owe me 32.60 $USD (thats 20 cents per every megabyte of my laptop storage that nagito and hajime ate up). i don't make the rules. also i wanted to print the powerpoint out onto paper, but as it turns out i dont have a printer. that means you also owe me a printer.

komahina bible cost me (literal) blood sweat tears and several hours of sleep to create and now you demand i pay you to read my scripture

[hoshiszora-archived]

Just loving my cat boy Hyousuke uwu

[el-ffej]

BTW, Ars Technica published a (IMO) much more informative -- and nuanced -- article re: predicted power usage due to AI.

The article is data-driven, and asks more questions than it answers; but I they're questions we should be considering re: the amount of energy used by data centers (not just AI):

After reading it, I feel like I have a much clearer perspective on the problem. Highly recommend giving it a look.

I don't know, how about switching it off?

[jcmarchi]

Navigating AI Investments: 5 Tactics to Balance Innovation with Sustainability

New Post has been published on https://thedigitalinsider.com/navigating-ai-investments-5-tactics-to-balance-innovation-with-sustainability/

Navigating AI Investments: 5 Tactics to Balance Innovation with Sustainability

As the AI landscape rapidly evolves, business and technology leaders face growing challenges in balancing immediate AI investments with long-term sustainability objectives. In the rush to adopt AI, many businesses neglect this balance, prioritizing short-term gains over sustainable practices – a trend that can negatively impact both the environment and the economy. There’s a clear correlation between sustainability planning and overall AI optimism, as countries with less comprehensive AI sustainability strategies, such as the UK (5%), Canada (6%), Denmark (6%), and Finland (4%), are also among the least optimistic about AI’s potential.

To address the pressing need for sustainable innovation, they must implement strategies that align AI advancements with long-term sustainability goals. Focusing on solutions that offer longevity and adaptability enables businesses to avoid the pitfalls of unsustainable AI practices, ensuring that their investments contribute to a more sustainable future.

By adopting strategies that emphasize sustainable AI practices, companies can mitigate the risks associated with short-term thinking. For example, they can invest in AI systems that are energy-efficient, scalable, and capable of evolving with technological advancements. Additionally, integrating sustainability metrics into AI development and deployment processes can help organizations track their progress and make informed decisions that support long-term objectives.

Getting ahead of the competition

Adopting AI early and strategically gives organizations a significant advantage, positioning them as pioneers in both innovation and sustainability. Early adopters who focus on integrating AI with sustainability not only set industry benchmarks but also create a ripple effect, influencing how competitors shape their AI strategies. These companies enjoy the immediate benefits of innovation, such as enhanced operational efficiency and cost savings, while also laying the groundwork for future growth that aligns with global sustainability goals.

The success of these early adopters demonstrates the feasibility of balancing innovation with environmental responsibility, highlighting that companies don’t have to choose between advancing technologically and being sustainable—they can achieve both. This dual focus enhances their brand reputation and attracts a new wave of customers and partners who prioritize sustainability. As more businesses recognize the value of this approach, those that have integrated AI with sustainability in mind from the beginning will be better positioned to lead their industries and set the standards for others to follow. Additionally, this approach enables them to anticipate and adapt to emerging trends and regulations, ensuring they remain at the forefront of their industries.

Avoiding the AI landfill

Ensure efficient and sustainable resource utilization starts with prioritizing solutions that offer longevity and adaptability. By focusing on foundational technologies like remanufacturing, companies will reduce waste and enhance their competitiveness within the circular economy. Implementing sustainable practices, such as regular maintenance regimes, can further extend the lifespan and value of products designed to last.

However, the rapid pace of AI innovation presents a unique set of challenges. For one, technologies can quickly become obsolete due to phenomena like “Shiny Object Syndrome,” where companies hastily adopt the latest trends without evaluating their long-term viability. Not only that, but many AI solutions are standalone, making integration with existing systems difficult. Frequent advancements, such as upgrades to OpenAI’s ChatGPT, can swiftly render projects outdated, therefore, business and technology leaders must carefully assess the sustainability and compatibility of AI technologies to align with the company’s long-term strategic goals.

Planning for the long-term

To avoid wasted investments, companies need to ensure that each investment supports future growth and environmental responsibility, as sustainable AI investments require long-term vision. This includes considering the lifecycle of AI technologies, their impact on resources and their energy consumption along with executing responsible AI deployment and governance.

Due to their energy-intensive nature, AI technologies can increase a company’s carbon footprint and contribute to environmental challenges like e-waste and emissions from data centers. Companies should assess the entire lifecycle of AI technologies, from development to deployment, to minimize these adverse environmental effects.

Determining clear ROI metrics

Clear metrics for return on investment (ROI) are crucial to achieving sustainable AI adoption. Businesses must create robust frameworks to evaluate both the financial and environmental impacts of their AI initiatives, including how these investments are driving innovation and aligning with sustainability goals.

Balancing immediate AI investments with long-term sustainability requires a comprehensive strategy. This involves not only aligning on specific goals with all stakeholders but also developing a smart data strategy that addresses both on-premise and cloud-based AI operations. While cloud solutions offer flexibility, they can be expensive and lead to vendor lock-in. On the other hand, returning to on-premise data centers might reduce short-term costs but can increase energy consumption and carbon emissions if not managed properly. By adopting an industrial AI strategy and considering the full lifecycle of AI investments, businesses can ensure that AI becomes a true enabler of sustainable practices.

Leveraging AI to Fuel Sustainability Initiatives

While it’s important to balance AI innovation with sustainability efforts, AI is not only a tool for innovation – it can also be a powerful driver of sustainability initiatives. By optimizing energy usage, reducing waste, and enhancing resource management, AI can significantly contribute to environmental goals. For instance, AI-powered predictive maintenance extends the lifespan of machinery, reducing the need for replacements and minimizing environmental impact while tools that help customers manage and report on their sustainability performance can support broader sustainability initiatives.

With the right technology and insights, organizations can demonstrate ingrained sustainability throughout their entire lifetime, leveraging historical data to showcase how their past practices have contributed to more sustainable, ethical, and financially progressive choices.

By incorporating these tactics, business and technology leaders can effectively navigate the complexities of AI investments, ensuring that their efforts drive both innovation and sustainability. This intersection is where true competitive advantage lies. Companies that prioritize sustainable AI practices not only enhance operational efficiency but also build resilience against future environmental and economic challenges.

Adopting sustainable AI practices positions an organization as a leader in an increasingly eco-conscious market. As consumers, investors, and regulators focus more on the environmental impact of business operations, companies that embed sustainability into their AI strategies will stand out. This proactive approach strengthens brand reputation and attracts customers and partners who value environmental responsibility, making sustainability a key differentiator that fosters long-term loyalty.

Sustainability should be an integral part of AI strategy, not a separate initiative. By aligning AI investments with sustainability goals, businesses can drive innovation that is both cutting-edge and responsible. This holistic approach ensures that AI technologies contribute to a sustainable future, one where companies thrive by advancing technologically while championing environmental stewardship. Those who integrate these principles into their AI strategies will be best positioned to lead, setting new standards for innovation, sustainability, and long-term success.

[jatinbansalblog]

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[phantomrose96]

If anyone wants to know why every tech company in the world right now is clamoring for AI like drowned rats scrabbling to board a ship, I decided to make a post to explain what's happening.

(Disclaimer to start: I'm a software engineer who's been employed full time since 2018. I am not a historian nor an overconfident Youtube essayist, so this post is my working knowledge of what I see around me and the logical bridges between pieces.)

Okay anyway. The explanation starts further back than what's going on now. I'm gonna start with the year 2000. The Dot Com Bubble just spectacularly burst. The model of "we get the users first, we learn how to profit off them later" went out in a no-money-having bang (remember this, it will be relevant later). A lot of money was lost. A lot of people ended up out of a job. A lot of startup companies went under. Investors left with a sour taste in their mouth and, in general, investment in the internet stayed pretty cooled for that decade. This was, in my opinion, very good for the internet as it was an era not suffocating under the grip of mega-corporation oligarchs and was, instead, filled with Club Penguin and I Can Haz Cheezburger websites.

Then around the 2010-2012 years, a few things happened. Interest rates got low, and then lower. Facebook got huge. The iPhone took off. And suddenly there was a huge new potential market of internet users and phone-havers, and the cheap money was available to start backing new tech startup companies trying to hop on this opportunity. Companies like Uber, Netflix, and Amazon either started in this time, or hit their ramp-up in these years by shifting focus to the internet and apps.

Now, every start-up tech company dreaming of being the next big thing has one thing in common: they need to start off by getting themselves massively in debt. Because before you can turn a profit you need to first spend money on employees and spend money on equipment and spend money on data centers and spend money on advertising and spend money on scale and and and

But also, everyone wants to be on the ship for The Next Big Thing that takes off to the moon.

So there is a mutual interest between new tech companies, and venture capitalists who are willing to invest $$$ into said new tech companies. Because if the venture capitalists can identify a prize pig and get in early, that money could come back to them 100-fold or 1,000-fold. In fact it hardly matters if they invest in 10 or 20 total bust projects along the way to find that unicorn.

But also, becoming profitable takes time. And that might mean being in debt for a long long time before that rocket ship takes off to make everyone onboard a gazzilionaire.

But luckily, for tech startup bros and venture capitalists, being in debt in the 2010's was cheap, and it only got cheaper between 2010 and 2020. If people could secure loans for ~3% or 4% annual interest, well then a $100,000 loan only really costs $3,000 of interest a year to keep afloat. And if inflation is higher than that or at least similar, you're still beating the system.

So from 2010 through early 2022, times were good for tech companies. Startups could take off with massive growth, showing massive potential for something, and venture capitalists would throw infinite money at them in the hopes of pegging just one winner who will take off. And supporting the struggling investments or the long-haulers remained pretty cheap to keep funding.

You hear constantly about "Such and such app has 10-bazillion users gained over the last 10 years and has never once been profitable", yet the thing keeps chugging along because the investors backing it aren't stressed about the immediate future, and are still banking on that "eventually" when it learns how to really monetize its users and turn that profit.

The pandemic in 2020 took a magnifying-glass-in-the-sun effect to this, as EVERYTHING was forcibly turned online which pumped a ton of money and workers into tech investment. Simultaneously, money got really REALLY cheap, bottoming out with historic lows for interest rates.

Then the tide changed with the massive inflation that struck late 2021. Because this all-gas no-brakes state of things was also contributing to off-the-rails inflation (along with your standard-fare greedflation and price gouging, given the extremely convenient excuses of pandemic hardships and supply chain issues). The federal reserve whipped out interest rate hikes to try to curb this huge inflation, which is like a fire extinguisher dousing and suffocating your really-cool, actively-on-fire party where everyone else is burning but you're in the pool. And then they did this more, and then more. And the financial climate followed suit. And suddenly money was not cheap anymore, and new loans became expensive, because loans that used to compound at 2% a year are now compounding at 7 or 8% which, in the language of compounding, is a HUGE difference. A $100,000 loan at a 2% interest rate, if not repaid a single cent in 10 years, accrues to $121,899. A $100,000 loan at an 8% interest rate, if not repaid a single cent in 10 years, more than doubles to $215,892.

Now it is scary and risky to throw money at "could eventually be profitable" tech companies. Now investors are watching companies burn through their current funding and, when the companies come back asking for more, investors are tightening their coin purses instead. The bill is coming due. The free money is drying up and companies are under compounding pressure to produce a profit for their waiting investors who are now done waiting.

You get enshittification. You get quality going down and price going up. You get "now that you're a captive audience here, we're forcing ads or we're forcing subscriptions on you." Don't get me wrong, the plan was ALWAYS to monetize the users. It's just that it's come earlier than expected, with way more feet-to-the-fire than these companies were expecting. ESPECIALLY with Wall Street as the other factor in funding (public) companies, where Wall Street exhibits roughly the same temperament as a baby screaming crying upset that it's soiled its own diaper (maybe that's too mean a comparison to babies), and now companies are being put through the wringer for anything LESS than infinite growth that Wall Street demands of them.

Internal to the tech industry, you get MASSIVE wide-spread layoffs. You get an industry that used to be easy to land multiple job offers shriveling up and leaving recent graduates in a desperately awful situation where no company is hiring and the market is flooded with laid-off workers trying to get back on their feet.

Because those coin-purse-clutching investors DO love virtue-signaling efforts from companies that say "See! We're not being frivolous with your money! We only spend on the essentials." And this is true even for MASSIVE, PROFITABLE companies, because those companies' value is based on the Rich Person Feeling Graph (their stock) rather than the literal profit money. A company making a genuine gazillion dollars a year still tears through layoffs and freezes hiring and removes the free batteries from the printer room (totally not speaking from experience, surely) because the investors LOVE when you cut costs and take away employee perks. The "beer on tap, ping pong table in the common area" era of tech is drying up. And we're still unionless.

Never mind that last part.

And then in early 2023, AI (more specifically, Chat-GPT which is OpenAI's Large Language Model creation) tears its way into the tech scene with a meteor's amount of momentum. Here's Microsoft's prize pig, which it invested heavily in and is galivanting around the pig-show with, to the desperate jealousy and rapture of every other tech company and investor wishing it had that pig. And for the first time since the interest rate hikes, investors have dollar signs in their eyes, both venture capital and Wall Street alike. They're willing to restart the hose of money (even with the new risk) because this feels big enough for them to take the risk.

Now all these companies, who were in varying stages of sweating as their bill came due, or wringing their hands as their stock prices tanked, see a single glorious gold-plated rocket up out of here, the likes of which haven't been seen since the free money days. It's their ticket to buy time, and buy investors, and say "see THIS is what will wring money forth, finally, we promise, just let us show you."

To be clear, AI is NOT profitable yet. It's a money-sink. Perhaps a money-black-hole. But everyone in the space is so wowed by it that there is a wide-spread and powerful conviction that it will become profitable and earn its keep. (Let's be real, half of that profit "potential" is the promise of automating away jobs of pesky employees who peskily cost money.) It's a tech-space industrial revolution that will automate away skilled jobs, and getting in on the ground floor is the absolute best thing you can do to get your pie slice's worth.

It's the thing that will win investors back. It's the thing that will get the investment money coming in again (or, get it second-hand if the company can be the PROVIDER of something needed for AI, which other companies with venture-back will pay handsomely for). It's the thing companies are terrified of missing out on, lest it leave them utterly irrelevant in a future where not having AI-integration is like not having a mobile phone app for your company or not having a website.

So I guess to reiterate on my earlier point:

Drowned rats. Swimming to the one ship in sight.

[puspendratalks]

CCIE Data Center V3.0 Training and Certification- CCIE HUB Technology

The CCIE data center is a reputed networking certification. It is recognized as a network engineer's proof of skill, knowledge, and expertise. It offers deep technical knowledge to make a professional ready to take on the data center assignment challenges in the industry.

The CCIE certification is recognized globally as the pattern and the program is continuously upgraded by Cisco. The program quality, tested methods, and the relevance of the program to the core industry practices make it a desirable course for someone looking for a jump in their IT career.

[nommedtail]

it rly is just crypt0 but for enterprise

[reasonsforhope]

Green energy is in its heyday. 

Renewable energy sources now account for 22% of the nation’s electricity, and solar has skyrocketed eight times over in the last decade. This spring in California, wind, water, and solar power energy sources exceeded expectations, accounting for an average of 61.5 percent of the state's electricity demand across 52 days. 

But green energy has a lithium problem. Lithium batteries control more than 90% of the global grid battery storage market. 

That’s not just cell phones, laptops, electric toothbrushes, and tools. Scooters, e-bikes, hybrids, and electric vehicles all rely on rechargeable lithium batteries to get going. 

Fortunately, this past week, Natron Energy launched its first-ever commercial-scale production of sodium-ion batteries in the U.S. 

“Sodium-ion batteries offer a unique alternative to lithium-ion, with higher power, faster recharge, longer lifecycle and a completely safe and stable chemistry,” said Colin Wessells — Natron Founder and Co-CEO — at the kick-off event in Michigan. 

The new sodium-ion batteries charge and discharge at rates 10 times faster than lithium-ion, with an estimated lifespan of 50,000 cycles.

Wessells said that using sodium as a primary mineral alternative eliminates industry-wide issues of worker negligence, geopolitical disruption, and the “questionable environmental impacts” inextricably linked to lithium mining. 

“The electrification of our economy is dependent on the development and production of new, innovative energy storage solutions,” Wessells said. 

Why are sodium batteries a better alternative to lithium?

The birth and death cycle of lithium is shadowed in environmental destruction. The process of extracting lithium pollutes the water, air, and soil, and when it’s eventually discarded, the flammable batteries are prone to bursting into flames and burning out in landfills. 

There’s also a human cost. Lithium-ion materials like cobalt and nickel are not only harder to source and procure, but their supply chains are also overwhelmingly attributed to hazardous working conditions and child labor law violations. 

Sodium, on the other hand, is estimated to be 1,000 times more abundant in the earth’s crust than lithium. 

“Unlike lithium, sodium can be produced from an abundant material: salt,” engineer Casey Crownhart wrote ​​in the MIT Technology Review. “Because the raw ingredients are cheap and widely available, there’s potential for sodium-ion batteries to be significantly less expensive than their lithium-ion counterparts if more companies start making more of them.”

What will these batteries be used for?

Right now, Natron has its focus set on AI models and data storage centers, which consume hefty amounts of energy. In 2023, the MIT Technology Review reported that one AI model can emit more than 626,00 pounds of carbon dioxide equivalent. 

“We expect our battery solutions will be used to power the explosive growth in data centers used for Artificial Intelligence,” said Wendell Brooks, co-CEO of Natron. 

“With the start of commercial-scale production here in Michigan, we are well-positioned to capitalize on the growing demand for efficient, safe, and reliable battery energy storage.”

The fast-charging energy alternative also has limitless potential on a consumer level, and Natron is eying telecommunications and EV fast-charging once it begins servicing AI data storage centers in June. 

On a larger scale, sodium-ion batteries could radically change the manufacturing and production sectors — from housing energy to lower electricity costs in warehouses, to charging backup stations and powering electric vehicles, trucks, forklifts, and so on. 

“I founded Natron because we saw climate change as the defining problem of our time,” Wessells said. “We believe batteries have a role to play.”

-via GoodGoodGood, May 3, 2024

--

Note: I wanted to make sure this was legit (scientifically and in general), and I'm happy to report that it really is! x, x, x, x

[digitalcreationsllc]

Guide to data center migration types | TechTarget

A data center migration is a way for a business to simplify its infrastructure, offload applications and save on costs. Data center migrations might be necessary for any business that relies on technology and eventually outgrows its existing IT infrastructure. This would cause the need for increased capacity or additional functionality. Data can be migrated through on-premises and cloud…

[htsdatacenter]

Unraveling The Best Cloud Hosting Company- HTS Data Center

Introduction: In today's digital age, cloud hosting has revolutionized the way businesses manage their online presence. HTS Data Center, a trusted and innovative technology company, is at the forefront of providing cutting-edge cloud hosting services to businesses worldwide.

With unparalleled scalability, security, and cost-effectiveness, Cloud Hosting Company has become the preferred choice for businesses of all sizes. In this comprehensive blog, we will explore the concept of cloud hosting, its benefits, how it works, and why businesses should consider migrating to the cloud with us. Understanding the power of cloud hosting from us so will empower you to make informed decisions and leverage this transformative technology to boost your online success.

Section 1: Understanding Cloud Hosting

1.1 What is Cloud Hosting?

Explore the fundamental concept of cloud hosting and how our innovative approach sets it apart from traditional hosting solutions. In addition to understanding the underlying infrastructure and the role of virtualization in our cloud hosting services.

1.2 Advantages of Cloud Hosting

Discover the key advantages of We' cloud hosting, including unmatched scalability, flexibility, reliability, and cost-effectiveness. Moreover, learn how we ensure high availability and minimize downtime to keep your business running smoothly.

Section 2: How Cloud Hosting Works:

2.1 Virtualization and Resource Pooling

Understand the concept of virtualization and resource pooling in our cloud hosting, whereas resources are dynamically allocated based on demand, optimizing performance and efficiency.

2.2 Load Balancing and Redundancy

Explore how we implement load balancing and redundancy mechanisms in their cloud hosting services to ensure optimal performance and fault tolerance.

2.3 Data Security and Privacy

Learn about the robust security measures implemented by us to safeguard your data in the cloud, so addressing common concerns related to data privacy.

Section 3: Types of Cloud Hosting Services

3.1 Public Cloud Hosting

Understand the features and benefits of public cloud hosting, where services are provided by experts and shared among multiple clients, ensuring cost-effectiveness and efficiency.

3.2 Private Cloud Hosting

Explore the advantages of private cloud hosting, offering dedicated resources and enhanced security, ideal for businesses with sensitive data and compliance requirements.

3.3 Hybrid Cloud Hosting

 Discover how our hybrid cloud hosting model combines elements of both public and private clouds to meet your specific business requirements, providing flexibility and customization.

Section 4: Migrating To The Best Cloud Hosting Company

4.1 Planning the Migration Learn about the essential steps in planning a successful migration to the cloud with us. However, this includes assessing your current infrastructure, identifying the right cloud hosting solution, and creating a migration roadmap.

4.2 Ensuring Data Security and Compliance Address data security concerns during migration and discover how we subsequently ensure compliance with industry regulations, protecting your sensitive data throughout the transition.

4.3 Why Choosing Our Cloud Hosting Company

Explore the criteria for selecting us as your Cloud hosting provider. After that, understand how their expertise, reputation, and commitment to customer satisfaction. Similarly, our company makes them a top choice for businesses seeking reliable cloud solutions.

Section 5: Unleashing the Full Potential of Cloud Hosting

5.1 Leveraging Our Expert Support

Discover how our dedicated support team is available around the clock to assist with any technical issues, ensuring uninterrupted operations and a smooth cloud hosting experience.

5.2 Scalability for Growing Businesses

Explore how our cloud hosting services offer unparalleled scalability, allowing your business to seamlessly expand as needed without worrying about infrastructure limitations.

5.3 Boosting Performance with Us

Learn how we optimize their cloud hosting environment to provide exceptional performance. In short, enabling faster website loading times and better user experiences.

Section 6: Customer Testimonials and Success Stories

6.1 Real-Life Experiences with HTS Solutions

Read about the success stories and experiences of businesses that have migrated to the cloud with us. Most importantly, understand how their decision to partner with HTS Solutions transformed their operations and led to improved efficiency and cost savings.

6.2 Client Reviews and Satisfaction

Explore the positive reviews and feedback from satisfied clients, attesting to the reliability and excellence of their cloud hosting services.

Section 7: The Future of Cloud Hosting with HTS Cloud

7.1 Embracing Innovations in Cloud Technology

Discover how we stay at the forefront of cloud technology. Therefore, embracing the latest innovations, such as serverless computing, artificial intelligence, and edge computing.

7.2 Preparing for Tomorrow's Challenges

After that, understand how we proactively prepare our clients for future challenges by continuously upgrading their infrastructure and services. In short, ensuring businesses stay ahead in a rapidly evolving digital landscape.

Conclusion

 In conclusion, Cloud Hosting Company offers an unmatched combination of scalability, security, and performance, making them an ideal choice for businesses of all sizes. With their expertise, commitment to customer satisfaction, and cutting-edge technology, HTS Solutions is at the forefront of delivering transformative cloud hosting solutions.

Embracing cloud hosting with We empowers businesses to overcome challenges, maximize efficiency, and thrive in the digital era. By choosing us as your cloud hosting partner, you can unleash the full potential of cloud technology and so take your online presence to new heights.

Whether you're a start-up or a well-established enterprise, cloud hosting services are designed to accelerate your success and drive growth in a competitive marketplace. Above all, embrace the power of cloud hosting by partnering with us, and experience the difference that a reliable and innovative cloud hosting provider can make for your business.

[drchucktingle]

Speve Kornacki is one of the best political data analysts in the country, and tonight is election night. After training for nearly four years, he’s ready to go, but as the night progresses Speve finds himself in an awkward position… are his powers of electoral computation simply too powerful to contain?

When an unexpected voting result occurs, Speve abruptly finds himself blasted into another timeline. It’s here that Speve and his handsome sentient touchscreen map must work together to get back home, both politically, and erotically.

This erotic tale is 4,200 words of sizzling human on gay electoral map action, including anal, blowjobs, rough sex, and touchscreen love.

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[guardiantech12]

Secure and Scalable Cloud Infrastructure Management Strategies

Cloud infrastructure management must be taken seriously by contemporary IT operations. It includes the management, inspection, and optimization of resources in cloud-based contexts including data centers and virtualized infrastructure. By managing cloud infrastructure well, businesses may increase their productivity, scalability, and cost-effectiveness.

One advantage of cloud infrastructure management is that: Cloud infrastructure management offers a number of significant benefits for businesses, including: Flexibility: Due to the fast provisioning and de-provisioning of resources offered by cloud infrastructure, businesses can scale their operations in response to demand. Scalability: With cloud infrastructure management, organizations can easily scale their resources up or down to ensure maximum performance and cost-effectiveness. Cost-cutting: Effective cloud infrastructure management enables businesses to utilize resources more effectively, reducing costs where possible and maximizing return on investment. Reliability: Cloud infrastructure management capabilities that offer high availability and data security include built-in redundancy and disaster recovery. Flexibility: Due to the dynamic nature of cloud infrastructure, organizations may quickly adapt to changing consumer needs and market conditions.

The best practices for managing cloud infrastructure: When managing cloud infrastructure, the following best practices should be considered: Regular Monitoring: Keep an eye on the operation and condition of your cloud infrastructure to identify potential issues and optimize resource allocation. Resource Optimisation: Use strategies like resource tagging, load balancing, and auto-scaling to optimize resource allocation to ensure efficient use and cost savings. Automation: To hasten the deployment, configuration, and management of cloud resources, use infrastructure-as-code (IaC) strategies and automation tools. Disaster Recovery: To secure crucial data and guarantee company continuity in the event of failures, implement reliable backup and disaster recovery procedures. Compliance and Security: Adhere to security best practices recommended by the industry, such as access control, data encryption, and frequent vulnerability assessments. Up-to-date documentation of your cloud infrastructure's configurations, dependencies, and operating processes should be kept.

Cost Optimization for Cloud Infrastructure: Careful planning and execution are required for cost optimization for cloud infrastructure. Do the following: Analyze the use of resources: Locate resources that are not being used, and then alter their provisioning to take into account the demand that has been experienced. To automatically adjust resource capacity in accordance with workload trends, use auto-scaling features. Utilize Reserved Instances: Take use of the reserved instances or savings programs offered by cloud service providers to save costs for long-term resource utilization. Optimize Storage: Identify your storage requirements and choose the appropriate storage tiers to reduce costs. Utilize Serverless Computing: Consider serverless computing options to pay for computing resources only when they are actually utilized.

Cloud Infrastructure Management Security: Security must be ensured in cloud infrastructure management in order to protect sensitive data and maintain compliance. Do the following: Implement Access Controls: Establish granular access controls and implement trustworthy authentication methods to prevent unauthorized access. Data encryption: To encrypt data both at rest and while it is being transported, use the encryption methods and protocols recommended by your cloud service provider. Regular Vulnerability Assessments: To identify and address security weaknesses, do routine penetration testing and vulnerability scanning. Creating an incident response: The plan will help you respond to security incidents or breaches effectively and reduce their impact. Security audits and compliance: Constantly verify that your cloud infrastructure conforms with any security standards and laws that may be relevant.

KNOW MORE

[jatinbansalblog]

🔥Want to access 𝗧𝗮𝗹𝗹𝘆 on cloud Anytime & Anywhere? Hurry up and connect with us🔥

.

Quickest Setup, go live in 15 minutes

Zero Maintenance Cost

🔴Why choose us

Own Data Center infrastructure

23 years of experience

10000+ Happy Clients Pan India

 High Data Security

 24/7 Support

.

 ☎️ +91-8800198868

visit now : https://kisitservices.in/

#tallyoncloud #cloudcomputing #cloud #tally #AWS #krishna #cloudservices #tallycloud #busy #margoncloud #busyoncloud #dataprotection #privacy #security #krishnacloudservices #krishnacloud #kisitservices #kisit

[puspendratalks]

Unlock Your IT Potential: Master CCIE Data Center V3.0 with This Ultimate Guide!

The CCIE data center is a reputed networking certification. It is recognized as a network engineer's proof of skill, knowledge, and expertise. It offers deep technical knowledge to make a professional ready to take on the data center assignment challenges in the industry.

The CCIE certification is recognized globally as the pattern and the program is continuously upgraded by Cisco. The program quality, tested methods, and the relevance of the program to the core industry practices make it a desirable course for someone looking for a jump in their IT career.

About the program

The CCIE data center course is conducted by certified Cisco instructors. The students get access to the latest physical equipment as recommended by the CCIE Data Center v3.0 Lab. The course is reviewed frequently to update it as per requirements.

Here is the list of qualifying exams: 

Network

Automation

Security

Storage Network

Compute

Here are the lab exams to appear for the qualifying:

Data Center L2/L3 Connectivity

Data Center Storage Protocols and Features

Data Center Automation and Orchestration

Data Center Fabric Infrastructure

Data Center Security and Network Services

Data Center Compute

Data Center Fabric Connectivity

Who should enroll in the certification program?

Apply For CCIE Data Center Training and Certification

The course is apt for:

Network engineers who have appeared for the core exam

Network engineers who come with at least 5 to 7 years of experience in deployment, designing, operation, and optimisation of the Cisco data center technologies

Network engineers that use the expert level process to solve problems and carry out option analysis to support the technologies and the topologies of the data center

Network designers who support and design data center technologies

The course is apt for professionals and students who are working in the technology and IT sectors and wish to enhance their learning and gain a globally recognised professional certification that can help improve their job prospects.

Prerequisites for the course

To gain complete benefit from the course you should have the below skills and knowledge.

Be familiar with TCP/IP networking and ethernet

Understand routing, networking protocols, and switching

A foundation knowledge of Cisco ACI

Understanding of SANs

Familiar with the fiber Channel protocol

Be able to identify the products in the Cisco MDS families. the Cisco Data enter neNxus and the Data Center architecture

Understand the architecture and the server system design

Be familiar with the virtualization fundamentals

Skills earned by professionals after CCIE Data Center training

Students gain hands-on experience on the Cisco Nexus switches, the Cisco MDS switches, Cisco USC C-series rack servers, and Cisco Unified Computing System B-Series Blade Servers

They gain practice on ways to implement the key ACI capabilities like polices and fabric discovery

Students are taught to deploy SAN capabilities like Role-based access control, virtual storage area networks, n-port visualization fabric security, and slow drain analysis

They understand troubleshooting installation, interconnectivity issues, and configuration on the Cisco multilayer director switch switches and the Cisco fabric extenders

The students get hands-on practice to implement the Cisco data center automated solutions which include programming orchestration and concepts and using automated tools

They learn ways to design practices that are focused on the solutions and technologies of the Cisco data center across the network

Benefits of earning the CCIE Data Center Certification

After the course completion, the student can validate create, and analyze the network designs. They understand the capabilities of various solutions and technologies. They are well-versed in translating the clients’ requirements into solutions. Students are capable of operating and deploying the network solutions and can position themselves as a technical leader in enterprise networks. They can combine their design and technical skills and are capable of meeting the new-age tech needs of network programmability and automation.

Exam pattern

The candidate needs to appear for an 8-hour practical exam which accesses their skill on the network lifecycle. The exam has 2 modules each of which has a minimum mark and a passing score. 

Reason to choose CCIE data centre

The Cisco Certified Internetwork Expert is a prestigious certification and here are the reasons why it is one of the most sought-after courses today.

CCIE professionals earn a high salary and many job opportunities open up for them after this certification

The certification is globally recognized and demonstrates the professional’s expertise in Cisco networking technology

Networking is critical to almost all businesses and thus CCIE certification is highly in demand

Those with the certification can demand over 30% higher salary in comparison to their noncertified peers

The certification is designed to keep up with the latest trends in the IT industry and this keeps the skill relevant in the market

Several job opportunities open up for a CCIE certified professionals as consultants, network managers, and network architects

Why learn the CCIE Data Center course from Lan and Wan Technology

Personalised training program that helps students meet their full potential

Certified trainers who come with years of teaching and practical experience

Cost-effective coaching which makes the course value for money

Choice of online and offline courses which give students the flexibility to study as per their comfort

Several courses to choose from as per the professionals’ career dreams 

A mix of theoritical and practical knowledge that offers independent analysis and helps in boosting the student's career

100% job assistance after completing the certification

Interview assistance to help students crack the toughest of rounds

Lan and Wan Technology offers courses that are accredited and help students build their career 

Job opportunities after passing the certification

Once the candidate gets the CCIE Data Center certification they are eligible to work as a Sr. data center engineer, lead consulting systems engineer, LC network designer, or a Sr technical solutions architect

Lan Wan Technology is a trusted CCIE Data Center Training institute that helps and trains students to achieve their goals of being CCIE certified.

FAQ

Who are the ideal candidates to enroll in the CCIE data center training program?

The ideal candidates are those who come with basic networking knowledge as the training is designed to meet the skill set of IT and network engineers.

What are the devices used in the hands-on lab?

The students get a hands-on experience on the CCIR Racks which is based on the latest examination blueprint.

What is the demand for CCIE Data Center experts in the market?

There is a huge demand for certified CCIE Data Center experts as it lets them establish themselves as an expert in their industry.

How much is the passing score in the CCIE Data Center examination?

There are two modules and each module has a minimum and a passing score. The scores are decided based on the difficulty of the exam paper.

What is the pass score and the minimum score?

The pass score corresponds to the competence at an expert level. The minimum score is the lowest minimum scored that you can expect from an expert candidate.

What is the scoring pattern to pass the exam?

The candidate should score higher than the aggregate pass score of both the modules and they should score higher than the minimum score that is set on each of the modules. In case the candidate scores less than the aggregated pass mark of both the modules or gets less than the minimum score on any module then they fail the exam.

What happens if the candidate fails the exam?

If the candidate fails the exam, then they will get a score report that indicates the module that they have failed or passed. They will also get a cumulative scoring percentage on a per-domain level basis across both modules

What can students expect in the exam?

This is an eight-hour practical examination that examines the candidate's skill through the network lifecycle of deploying, designing, and operating the complex scenarios of networking. The exam has 2 modules.