#GoogleCloud

[nando161mando]

"No Tech for Apartheid’s protest is as much about what the public doesn’t know about Project Nimbus as what it does. The contract is for Google and Amazon to provide AI and cloud computing services to the Israeli government and military, according to the Israeli finance ministry, which announced the deal in 2021.

Nimbus reportedly involves Google establishing a secure instance of Google Cloud on Israeli soil, which would allow the Israeli government to perform large-scale data analysis, AI training, database hosting, and other forms of powerful computing using Google’s technology, with little oversight by the company.

Google documents, first reported by the Intercept in 2022, suggest that the Google services on offer to Israel via its Cloud have capabilities such as AI-enabled facial detection, automated image categorization, and object tracking."

[govindhtech]

UNC5537: Extortion and Data Theft of Snowflake Customers

Targeting Snowflake Customer Instances for Extortion and Data Theft, UNC5537 Overview. Mandiant has discovered a threat campaign that targets Snowflake client database instances with the goal of extortion and data theft. This campaign has been discovered through Google incident response engagements and threat intelligence collections. The multi-Cloud data warehousing software Snowflake can store and analyze massive amounts of structured and unstructured data.

Mandiant is tracking UNC5537, a financially motivated threat actor that stole several Snowflake customer details. UNC5537 is using stolen customer credentials to methodically compromise Snowflake client instances, post victim data for sale on cybercrime forums, and attempt to blackmail many of the victims.

Snowflake instance According to Mandiant’s analysis, there is no proof that a breach in Snowflake’s enterprise environment led to unauthorized access to consumer accounts. Rather, Mandiant was able to link all of the campaign-related incidents to hacked client credentials.

Threat intelligence about database records that were later found to have come from a victim’s Snowflake instance was obtained by Mandiant in April 2024. After informing the victim, Mandiant was hired by the victim to look into a possible data theft affecting their Snowflake instance. Mandiant discovered during this investigation that a threat actor had gained access to the company’s Snowflake instance by using credentials that had previously been obtained through info stealer malware.

Using these credentials that were taken, the threat actor gained access to the customer’s Snowflake instance and eventually stole important information. The account did not have multi-factor authentication (MFA) activated at the time of the intrusion.

Following further intelligence that revealed a wider campaign aimed at more Snowflake customer instances, Mandiant notified Snowflake and potential victims via their Victim Notification Programme on May 22, 2024.

Snowflakes Mandiant and Snowflake have notified about 165 possibly vulnerable organizations thus far. To guarantee the security of their accounts and data, these customers have been in direct contact with Snowflake’s Customer Support. Together with collaborating with pertinent law enforcement organizations, Mandiant and Snowflake have been undertaking a cooperative investigation into this continuing threat campaign. Snowflake released comprehensive detection and hardening guidelines for Snowflake clients on May 30, 2024.

Campaign Synopsis According to Google Cloud current investigations, UNC5537 used stolen customer credentials to gain access to Snowflake client instances for several different organizations. The main source of these credentials was many info stealer malware campaigns that compromised systems controlled by people other than Snowflake.

As a result, a sizable amount of customer data was exported from the corresponding Snowflake customer instances, giving the threat actor access to the impacted customer accounts. Subsequently, the threat actor started personally extorting several of the victims and is aggressively trying to sell the stolen consumer data on forums frequented by cybercriminals.

Mandiant Mandiant discovered that most of the login credentials utilized by UNC5537 came from infostealer infections that occurred in the past, some of which were from 2020. Three main causes have contributed to the multiple successful compromises that UNC5537’s threat campaign has produced:

Since multi-factor authentication was not enabled on the affected accounts, successful authentication just needed a working login and password. The credentials found in the output of the infostealer virus were not cycled or updated, and in certain cases, they remained valid years after they were stolen. There were no network allow lists set up on the affected Snowflake client instances to restrict access to reliable sources. Infostealer Mandiant found that the first infostealer malware penetration happened on contractor computers that were also used for personal purposes, such as downloading pirated software and playing games. This observation was made during multiple investigations related to Snowflake.

Customers that hire contractors to help them with Snowflake may use unmonitored laptops or personal computers, which worsen this initial entry vector. These devices pose a serious concern because they are frequently used to access the systems of several different organizations. A single contractor’s laptop can enable threat actors to access numerous organizations if it is infected with infostealer malware, frequently with administrator- and IT-level access.

Identifying The native web-based user interface (SnowFlake UI, also known as SnowSight) and/or command-line interface (CLI) tool (SnowSQL) on Windows Server 2022 were frequently used to get initial access to Snowflake customer instances. Using an attacker-named utility called “rapeflake,” which Mandiant records as FROSTBITE, Mandiant discovered more access.

Mandiant believes FROSTBITE is used to conduct reconnaissance against target Snowflake instances, despite the fact that Mandiant has not yet retrieved a complete sample of FROSTBITE. Mandiant saw the use of FROSTBITE in both Java and.NET versions. The Snowflake.NET driver communicates with the.NET version. The Snowflake JDBC driver is interfaced with by the Java version.

SQL recon actions by FROSTBITE have been discovered, including a listing of users, current roles, IP addresses, session IDs, and names of organizations. Mandiant also saw UNC5537 connect to many Snowflake instances and conduct queries using DBeaver Ultimate, a publicly accessible database management tool.

Finish the mission Mandiant saw UNC5537 staging and exfiltrating data by continuously running identical SQL statements on many client Snowflake systems. The following instructions for data staging and exfiltration were noted.

Generate (TEMP|TEMPORARY) STAGE UNC5537 used the CREATE STAGE command to generate temporary stages for data staging. The data files that are loaded and unloaded into database tables are stored in tables called stages. When a stage is created and designated as temporary, it is removed after the conclusion of the creator’s active Snowflake session.

UNC5537 Credit Since May 2024, Mandiant has been monitoring UNC5537, a threat actor with financial motivations, as a separate cluster. UNC5537 often extorts people for financial benefit, having targeted hundreds of organizations globally. Under numerous aliases, UNC5537 participates in cybercrime forums and Telegram channels. Mandiant has recognized individuals who are linked to other monitored groups. Mandiant interacts with one member in Turkey and rates the composition of UNC5537 as having a moderate degree of confidence among its members who are located in North America.

In order to gain access to victim Snowflake instances, Attacker Infrastructure UNC5537 mostly leveraged Mullvad or Private Internet Access (PIA) VPN IP addresses. Mandiant saw that VPS servers from Moldovan supplier ALEXHOST SRL (AS200019) were used for data exfiltration. It was discovered that UNC5537 was storing stolen victim data on other foreign VPS providers in addition to the cloud storage provider MEGA.

Prospects and Significance The campaign launched by UNC5537 against Snowflake client instances is not the product of a highly advanced or unique method, instrument, or process. The extensive reach of this campaign is a result of both the expanding infostealer market and the passing up of chances to further secure credentials:

UNC5537 most likely obtained credentials for Snowflake victim instances by gaining access to several infostealer log sources. There’s also a thriving black market for infostealerry, with huge lists of credentials that have been stolen available for purchase and distribution both inside and outside the dark web.

Infostealers Multi-factor authentication was not necessary for the impacted customer instances, and in many cases, the credentials had not been changed in up to four years. Additionally, access to trusted locations was not restricted using network allow lists.

This ad draws attention to the ramifications of a large number of credentials floating throughout the infostealer market and can be a sign of a targeted attack by threat actors on related SaaS services. Mandiant predicts that UNC5337 will carry on with similar intrusion pattern, soon focusing on more SaaS systems.

This campaign’s wide-ranging effects highlight the pressing necessity for credential monitoring, the ubiquitous application of MFA and secure authentication, traffic restriction to approved sites for royal jewels, and alerts regarding unusual access attempts. See Snowflake’s Hardening Guide for additional suggestions on how to fortify Snowflake environments.

Read more on Govindhtech.com

[pulsaris]

A Canonical lançou nesta última semana a nova versão do Ubuntu LTS. A versão 24.04 (Noble Numbat) traz inúmeras novidades destacando-se delas o suporte avançado para os mais recentes processadores Intel, AMD e Qualcomm.

A nova versão já é suportada pela Pulsaris e será muito em breve suportada oficialmente pela ESET também.

Os clientes que pretenda efectuar a migração deverão entrar em contacto connosco através dos canais de comunicação habituais.

[connectinfo1999]

The Best DevOps Development Team in India | Boost Your Business with Connect Infosoft

Please Like, Share, Subscribe, and Comment to us.

Our experts are pros at making DevOps work seamlessly for businesses big and small. From making things run smoother to saving time with automation, we've got the skills you need. Ready to level up your business?

[discountcoupon548]

Google Cloud Professional Cloud Architect Certification. Become a GCP Cloud Architect, Latest GCP Exam and Case Studies.

Google Cloud Platform is one of the fastest-growing cloud service platforms offered today that lets you run your applications and data workflows at a 'Google-sized' scale.

Google Cloud Certified Professional Cloud Architect certification is one of the most highly desired IT certifications out today. It is also one of the most challenging exams offered by any cloud vendor today. Passing this exam will take many hours of study, hands-on experience, and an understanding of a very wide range of GCP topics.

Luckily, we're here to help you out! This course is designed to be your best single resource to prepare for and pass the exam to become a certified Google Cloud Architect.

Why should do a Google Cloud Certification?

Here are few results from Google's 2020 Survey:

89% of Google Cloud certified individuals are more confident about their cloud skills

GCP Cloud Architect was the highest paying certification of 2020 (2) and 2019 (3)

More than 1 in 4 of Google Cloud certified individuals took on more responsibility or leadership roles at work

Why should you aim for Google Cloud - GCP Cloud Architect Certification?

Google Cloud Professional Cloud Architect certification helps you gain an understanding of cloud architecture and Google Cloud Platform.

As a Cloud Architect, you will learn to design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.

The Google Cloud Certified - Professional Cloud Architect exam assesses your ability to:

Design and architect a GCP solution architecture

Manage and provision the GCP solution infrastructure

Design for security and compliance

Analyze and optimize technical and business processes

Manage implementations of Google Cloud architecture

Ensure solution and operations reliability

Are you ready to get started on this amazing journey to becoming a Google Cloud Architect?

So let's get started!

Who this course is for:

You want to start your Cloud Journey with Google Cloud Platform

You want to become a Google Cloud Certified Professional Cloud Architect

[innovativeacademy-blog]

Quiz Time

Visit: https://innovativeacademy.in Call us: +91 8447712333

[inextures]

Interactive and Conversational Search with Google Cloud and Elasticsearch

These days, where we have such a lot of online information, it’s truly essential to find what you really want rapidly and precisely. That is the very thing that this blog post is about. We will discuss a better approach for looking and searching online, utilizing something many refer to as interactive and conversational search.

This method makes searching more like having a chat, and it uses some cool tools from Google Cloud and Elasticsearch. We’ll take a gander at how these better approaches for looking are unique in relation to the old ones, and how Google Cloud’s most recent tech improves looking through even. We’re likewise going to look at Elasticsearch, which is a search engine web index, and perceive how it cooperates with Google Cloud to make your searches fast and simple.

What is Interactive and Conversational Search?

A flow method for looking for information that goes beyond the usual practice of inputting keywords into a search engine is interactive and conversational search. All things being equal, it empowers clients to communicate with the search system in a more normal and conversational manner, using text or voice.

This technology utilizes progress in artificial intelligence, especially in natural language processing and machine learning, to comprehend, interpret, and answer client inquiries in a way like that of a human. The objective is to further develop the search experience by making it more automatic, productive, and easy to understand.

Users can get clarification on pressing issues or make demands in natural language, and the system is intended to comprehend the context and intent behind these searches, resulting in more accurate and relevant replies.

This technology is particularly helpful in applications requiring fast and exact information retrieval, such as customer service bots, personal digital assistants, and sophisticated data analysis tools.

Google Cloud – Powering Advanced Search Capabilities

What is Google Cloud?

Google Cloud is a Google cloud computing service that provides a variety of server and computation choices for web applications. It offers computing, storage, and Application Development Services that are provided on Google hardware, allowing developers and organizations to develop, test, and roll out applications on Google’s highly scalable and dependable infrastructure.

Let’s discuss various aspects of Google Cloud

The AI and Machine Learning Edge of Google Cloud

At its core, Google Cloud uses the force of power of artificial intelligence (AI) and machine learning (ML)  to offer extraordinary abilities in information handling and analytics. These technologies are significant in understanding and interpreting the vast amount of data generated day to day. Google Cloud’s sAI and ML services are intended to be available and adaptable, making them reasonable for organizations, all things considered.

The strength of Google Cloud lies in its complex calculations and neural networks, which are continually learning and evolving. This consistent improvement considers more precise expectations and insights, essential for making a proficient and intelligent search experience.

Enhancing Search Functionalities with Google Cloud

Google Cloud significantly enhances search functionalities in several ways, most notably through natural language processing (NLP). NLP is a branch of AI that focuses on the interaction between computers and human language. It enables machines to understand, interpret, and respond to human language in a useful and meaningful way.

One of the key applications of NLP in search is understanding the context and intent behind user queries. Traditional search engines might struggle with complex or conversational queries, but with Google Cloud’s NLP capabilities, search engines can interpret these queries more effectively. This means users can ask questions in natural, conversational language and receive more accurate and relevant results.

For example, if a user searches for “best strategies for online marketing in 2023,” Google Cloud’s NLP tools can analyze the query to understand the specific intent – in this case, looking for recent and effective online marketing strategies. The search engine can then prioritize content that is not only relevant to online marketing but also current and strategy-focused.

Real-World Applications and Future Potential

The applications of Google Cloud’s search capabilities are vast and varied. From powering sophisticated recommendation engines in e-commerce platforms to enabling efficient document search in large corporate databases, the potential is limitless. The real power lies in its adaptability and how businesses can leverage these tools to meet their specific needs.

As we look to the future, the integration of AI and ML in search is only set to deepen. With advancements in AI and machine learning, particularly in areas like deep learning and predictive analytics, Google Cloud is well-positioned to lead this charge. The potential for creating even more personalized, intuitive, and intelligent search experiences is immense, paving the way for a new era in digital information access and management.

Elasticsearch – The Backbone of Search Engines

Elasticsearch stands out as a pivotal technology. Originally released in 2010, it has rapidly grown to become a key player in the search engine landscape, renowned for its speed, scalability, and robust set of features.

What is Elasticsearch?

Elasticsearch is an open-source, distributed search and analytics engine, designed for horizontal scalability, reliability, and easy management. It is built on top of Apache Lucene, a high-performance, full-text search engine library. This foundation enables Elasticsearch to not only perform complex searches but also to handle large volumes of data in real time.

Also Read: Explore Elasticsearch and Why It’s Worth Using?

Core Features of Elasticsearch

Full-Text Search: At its core, Elasticsearch excels in full-text search. It breaks down texts into individual terms or phrases and allows for complex query types including fuzzy matching, wildcard searches, and synonym handling. This makes it extremely powerful for searching through large volumes of text-heavy data.

Scalability: One of the most amazing elements of Elasticsearch is its capacity to scale. It can deal with petabytes of structured and unstructured information, and its appropriate nature implies that it can develop with your necessities. Whether you’re a little startup or a huge endeavor, Elasticsearch adjusts to your data requirements without compromising on performance.

Real-Time Data and Analytics: Elasticsearch works progressively. As soon as a document is indexed, it’s searchable. This feature is critical for applications that require immediate insights from their data, like monitoring tools, financial analysis, and e-commerce platforms.

Distributed Architecture: Its distributed architecture ensures that your data is always available and accessible. Elasticsearch automatically replicates data to ensure resilience and high availability, meaning that even in the case of hardware failure, your search system remains operational.

Powerful API and Ecosystem: Elasticsearch comes with a rich set of APIs that allow for seamless integration with numerous languages such as Java, Python, PHP, JavaScript, and more. The Elastic Stack, which includes Kibana for data visualization and Logstash for data processing, complements Elasticsearch to provide a comprehensive search and data analysis solution.

Applications of Elasticsearch

Elasticsearch is used across various industries for different purposes:

E-commerce: For product searches and personalized recommendations.

Logging and Monitoring: For analyzing and visualizing logs in real-time.

Security Information and Event Management (SIEM): For threat hunting and security analytics.

Search Applications: As the underlying engine for custom search applications across websites and enterprise systems.

Integrating Google Cloud with Elasticsearch

Integrating Google Cloud with Elasticsearch represents a significant advancement in search and data analysis. This integration combines Google Cloud’s cutting-edge artificial intelligence and machine learning capabilities with Elasticsearch’s robust, scalable search engine framework.

The result is a powerful synergy that enhances search functionalities, enabling more intuitive, accurate, and real-time responses to complex queries. Businesses can leverage this integration to analyze large datasets, gain actionable insights, and provide users with an unmatched search experience.

Whether it’s processing natural language queries, delivering personalized search results, or offering predictive analytics, the combination of Google Cloud and Elasticsearch paves the way for innovative and efficient data-driven solutions.

Use Cases and Applications

The integration of Google Cloud and Elasticsearch significantly enhances search capabilities across various sectors. In e-commerce, it improves product discovery through natural language queries, enhancing both user experience and sales.

Customer service benefits from AI-powered conversational bots that can handle complex inquiries efficiently. In healthcare, it streamlines access to patient records and medical information, aiding in faster decision-making.

Additionally, for data analytics, this combination simplifies extracting insights from large datasets, making the process more intuitive and efficient. This synergy of Google Cloud’s AI and Elasticsearch’s search functionality marks a leap in creating more user-friendly, intelligent search experiences across diverse industries.

Conclusion

The integration of Google Cloud and Elasticsearch marks a transformative step in search technology. More than a technical feat, it’s a portal to a future where search engines evolve into intelligent partners, adept in processing natural language and delivering precise, efficient results.

This synergy heralds a new wave of innovation across sectors, making our interactions with the digital world more intuitive, responsive, and centered around user needs. As we advance, this blend of Google Cloud’s AI and Elasticsearch’s search prowess promises to redefine not just how we search, but also how we experience the digital landscape. The future of search is conversational, intelligent, and here to revolutionize our digital interactions.

Originally published by: Interactive and Conversational Search with Google Cloud and Elasticsearch

[economizecloud]

An Introduction to GCP Pricing: Understanding the Basics

Google Cloud Platform (GCP) is one of the leading cloud computing platforms in the world, offering a wide range of services such as compute, storage, networking, and security, among others. With Economize, you can easily calculate GCP pricing for your business to efficiently manage expenses. Contact us now!

[qualitythought]

Explore Our Exclusive Instructor-Led-Live Online Training Program by Quality Thought (Transforming Dreams ! Redefining the Future !)

What is Google Cloud Key Management Service?

🌐Register for the Course: https://www.qualitythought.in/registernow 📲 Contact: 73373 44490 📩 Telegram Updates: https://t.me/QTTWorld 📧 Email: info@qualitythought.in Facebook: https://www.facebook.com/QTTWorld/ Instagram: https://www.instagram.com/qttechnology/ Twitter: https://twitter.com/QTTWorld Linkedin: https://in.linkedin.com/company/qttworld Youtube: https://www.youtube.com/qualitythought ℹ️ More info: https://www.qualitythought.in/

[simple-logic]

#PollTime What's your go-to cloud service?

a) AWS 🌩️ b) Azure 🟦 c) Google Cloud ☁️ d) Other 🔧

Test your Cloud knowledge! 🐧 Drop your guess in the comments below! 🤔

[govindhtech]

EPAM’s Retail Media Orchestration Toolkit and Google Cloud

EPAM’s Retail Media Orchestration Toolkit for Streamlined Ad Operations

Increase retail media success more quickly with Google Cloud and EPAM.

Retail media networks are not a novel form of advertising platform that enables merchants to sell advertising space to outside companies on their digital platforms. However, they will undergo a significant transformation in the upcoming year. As consumers’ concerns about privacy grow, they want more tailored advertising advice.

For many years, EPAM and Google Cloud have been developing retail media solutions, giving you the data and insights you need to enhance buyer experiences, improve metrics, and get more thorough and granular perspectives of your consumers.

Businesses who employ AI and gen AI and make the most use of first-party data will experience a return on investment in retail media. I am excited to inform the launch of EPAM’s Retail Media Orchestration Toolkit today, which will enable retailers of all sizes, regardless of how developed their retail media operations are, to take advantage of the opportunities that lie ahead in the upcoming year. The Retail Media Orchestration Toolkit gives you access to specialized, internal retail media operations that are coordinated with EPAM’s extensive retail knowledge and backed by Google and Google Cloud’s market-leading digital advertising capabilities.

You may significantly outperform your rivals and enhance your first-party data with previously unattainable information by utilizing Google Cloud’s AI and gen AI technologies and expertise.

Profits from retail media are still elusive

Even while many retailers have established retail media operations and are aware of the economic potential of first-party data, they still have difficulty seeing these initiatives through to maturity. Typical obstacles to optimizing retail media earnings consist of:

Marketers can choose from hundreds of retail media networks to host campaigns. This infrastructure cannot match the increased demand for data-driven insights. Companies want to spend their advertising resources on networks with comprehensive, data-driven insights, yet many retailers struggle to provide the in-depth information advertisers require. Few shops specialize in retail media; they sell products. The challenge is further compounded by the magnitude involved for many retailers.

Incapacity to deliver precise, quick measurements: Closed-loop campaign performance measurement, and in particular omnichannel measurement across various digital and physical consumer engagements, necessitates a degree of retail media technology, skill, and coordination that few merchants have.

The absence of resources and technology to enable data clean rooms Retail media are driven by consumer data. The success of advertising increases with the amount of detailed and thorough data. It’s critical to protect sensitive information, including comprehensive customer data, in order to uphold industry ethics, preserve consumer trust, and frequently comply with legal requirements. Data clean rooms offer a secure setting for several authorized individuals to use and exchange client data. However, many merchants lack the resources and knowledge necessary to maintain a data clean room, and the technological obstacles are substantial.

Data and workflow standardization challenges: Most retail media networks are made up of disparate independent software vendors (ISVs). They make use of their own protocols, guidelines, and reporting styles. As a result, incoming reporting data is constantly pouring in and needs to be converted to internal formats before being sent to advertisers. A lot of retailers try to deal with this by manually handling incoming data, which leads to more employees, worse performance when reporting to customers, and lower profitability for retail media.

Retail Media Orchestration Toolkit

Retailers can now deploy in-house, customized retail media solutions, just like Walmart, Tesco, Albertsons, and Kroger have done.

In collaboration with EPAM and Google Cloud, the Retail Media Orchestration Toolkit was created through Google Cloud’s Industry Value Network (IVN) project, utilizing ISV solutions like Moloco. With the help of the Toolkit, retailers may use their data to help their advertising clients and enhance their retail media operations.

EPAM’s extensive understanding of retail media operations stems from years of experience creating in-house, customized solutions powered by Google Cloud for some of the biggest retailers globally. Custom retail media solutions can be designed and implemented with Google Cloud’s comprehensive, end-to-end platform and solutions for audience capabilities, measurement, media execution, and innovation.

EPAM’s Toolkit, which is built on the cutting-edge Google Cloud Cortex Framework cloud-based data foundation, enables clients to make better use of their data, regardless of where it is stored. This includes first-party data from programs like Google Ad Manager, Google Search Ads 360, Display & Video 360, and others, making a true in-house, custom retail media solution a feasible option. The solution, which is a component of Google Cloud’s Industry Value Network, also makes use of ISV solutions to offer a complete and replicable solution via the pre-built connectors and accelerators.

Using the Retail Media Orchestration Toolkit, retailers benefit from:

An entirely owned, tailored, internal retail media system that is readily expandable when necessary

The capability of automating, standardizing, and streamlining retail media operations

Costly, prone to error human processes are replaced with fully automated ones.

Omnichannel measuring capabilities so they can show marketers the ROI and campaign effectiveness

Making better, data-driven decisions to optimize campaign performance across various, heterogeneous platforms

Advice on how to use cutting-edge technology like artificial intelligence (AI) and machine learning (ML) to create a solution that meets their present demands.

Significant, measurable advantages are already being felt by retailers who are utilizing the EPAM and Google Cloud retail media solution, such as:

Increases in retail media revenue and advertiser demand of 15% to 20%

Double the campaign’s performance

40% time savings

Costs of retail media activities are reduced by 12%.

Retail media success’s four stages

Four steps make up the design and implementation of an internal solution using the Retail Media Orchestration Toolkit:

Combine, standardize, automate, evaluate, and display transactional and multichannel campaign delivery data for multichannel measurement.

Superior omnichannel measurement Data from user-level interactions across platforms and channels should be tracked, reported, and examined.

Audiences: Using unique segmentation models that are built within your own cloud environment and syndicated to your retail media partners, create high-value predictive audiences based on your transactional data.

Utilize analytics to create and improve new revenue sources by drawing on brand and consumer data.

Regardless of their degree of retail media maturity, retailers were intended to profit from this staged approach. When you’re ready, you can take use of the insight-boosting potential of Google Cloud’s AI and ML capabilities. Your solution may be set up and installed to suit your unique requirements, yielding benefits practically instantly.

Prepare to expand your media efforts in retail

Due to its youth, very few, if any, organizations have fully matured their retail media activities. There is still room for improvement, even for large retailers who have created their own in-house retail media solutions. Some areas that usually lack technological maturity include optimizing workflows, creating complete automation of retail media operations, and making the most of emerging capabilities with AI and ML.

However, where is your organization now? How far along is your company in realizing the full potential of retail media? What actions are necessary to get to that point?

To address those questions, a maturity evaluation is used. It will only take two or three meetings with important members of your company to give us a broad overview of your retail media business. And it will use that information to create a customized action plan for you that includes:

A multi-year plan that addresses technology, procedures, and collaborations and is tailored to your company’s maturity level

A projection of retail media’s profit and loss that identifies important dependencies

A structure of investments and resources to help you expand more quickly

Simply put, your maturity assessment shows you how to get from where you are to where you want to be and shows you how to maximize the potential of retail media for your company.

Read more on Govindhtech.com

[understanding-react-native]

Imagine this: for every grain of sand on Earth, there are approximately 400,000 bytes of data. In today’s digital age, the ability to access and leverage this immense amount of data seamlessly from any device is game-changing.

At Kellton, we’re passionate about empowering businesses with cutting-edge cloud engineering services. We cover everything from consulting and design to building and managing cloud infrastructures. Our expertise spans across platforms like AWS, Microsoft Azure, and Google Cloud, ensuring solutions that boost reliability, scalability, and cost efficiency.

Our track record includes achieving 99.99% application uptime and a 35% boost in online orders for one of the world’s largest restaurant companies. Whether you’re looking to migrate to the cloud or enhance your existing infrastructure, our team of certified consultants is here to simplify the complexity and transform your operations.

Curious to see how we make cloud engineering work for you? Watch our video for a deeper dive into our solutions.

[krnetworkcloudtechnologies]

🚀 Master File Management in Linux with VI & VIM! 🚀

If you're just starting out with Linux or want to sharpen your skills, this is THE session for you! From basic to advanced operations, learn how to manage files like a pro using VI and VIM commands. 🖥️✨

Whether you're a beginner or brushing up on your skills, this hands-on tutorial is packed with everything you need to know. Don't miss out!

🔗 Watch now: https://www.youtube.com/watch?v=-QHZCkGr9Vs&t

#LinuxBeginners #VIMCommand #VIEditor #LinuxFileManagement #LearnLinux #TechTutorial #LinuxCommunity #OpenSource

[sqabytechnologies]

A Step-by-Step Guide for How to sign up in google cloud ?

Cloud computing has become a vital part of business operations in the current technological era because to its scalability, flexibility, and efficiency. Google Cloud Platform (GCP) stands out from its rivals thanks to its cutting-edge technology, reliable infrastructure, and extensive service offering. If you want to take advantage of the cloud's power for your projects or business, the first step to opening up a world of possibilities is to enroll in Google Cloud Platform.

Getting Ready to Sign Up:

Before starting the sign-up process, it's crucial to understand the prerequisites and gather the necessary information. To create a GCP account, you'll need some basic personal or business information and a functional email address. 

How to Register for the Cloud Platform on Google:

To view the Google Cloud Platform website, go to cloud.google.com.

If you don't already have a Google account, click "Sign In" and then "Create account."

Use the "Console" button in the top right corner to enter the GCP Console after logging in.

Select a nation and, if asked, accept the terms of service.

Click the "Get started for free" button to start the signup process.

Follow the on-screen instructions to verify the details of your account and, if required, submit billing information.

To complete the sign-up procedure after reading the terms of service, click "Agree and continue.

Following your successful Google Cloud Platform registration, you need to do the following important actions:

Learn about and become accustomed to the features of the GCP Console.

Recognize the pricing and billing schedule to prevent unforeseen expenses.

If applicable, start your free trial to see what GCP can accomplish.

In order to monitor your consumption and avoid overspending, configure billing notifications.

Join pertinent groups or forums to engage with other GCP users and obtain assistance as required.

Troubleshooting Frequently Asked Questions: 

If you have any difficulties utilizing Google Cloud Platform or during the registration process, don't freak out. The following list of common problems along with solutions:

Issues with account verification: Double-check the data to ensure it is accurate.

Problems with the billing setup: Contact Google Cloud support for assistance, or refer to the handbook for troubleshooting tips.

Getting access to support resources: To get access to forums, documentation, and other support resources, go to the GCP support page.

[cloudmigration123]

Cloud Migration: Accelerating Business Growth with Modern Technology

In today’s rapidly evolving tech landscape, businesses must innovate to stay competitive. Cloud migration has emerged as a vital strategy for organizations looking to modernize infrastructure, reduce costs, and improve operational efficiency. As businesses expand, legacy IT systems often struggle to keep up, creating the need for more scalable and agile solutions. Cloud migration empowers companies to harness modern technology, driving growth and boosting their competitive edge.

Why Migrate to the Cloud? Staying in sync with emerging technology is essential for success. Cloud migration offers numerous benefits:

✅ High Availability Cloud platforms provide robust infrastructure with built-in redundancy, ensuring around-the-clock uptime for your applications.

✅ Scalability Easily scale your operations to meet demand, whether you’re managing sudden spikes or planning for future growth.

✅ Cost Optimization Transitioning from legacy systems to the cloud reduces capital and operational expenses. Pay-as-you-go models enable you to optimize costs for a better ROI.

✅ Enhanced Security & Compliance Cloud platforms offer advanced security measures, automatic updates, and compliance certifications, safeguarding your data and ensuring regulatory adherence.

✅ Agility & Innovation Cloud environments enable rapid innovation. With a host of tools and services, businesses can speed up development cycles, improve collaboration, and quickly deploy new applications.

Top Cloud Service Providers Selecting the right cloud provider is key to a successful migration:

🌐 Microsoft Azure: Enterprise-grade cloud solutions, seamless Microsoft integration, and support for businesses across industries.

🌐 Amazon Web Services (AWS): A leader in cloud computing, AWS offers unmatched scalability, flexibility, and support for diverse workloads like AI, data analytics, and IoT.

🌐 Google Cloud Platform (GCP): With a focus on AI and machine learning, GCP is ideal for data-driven businesses, providing cutting-edge cloud infrastructure and development tools.