AWS Related Topics 
Xebia
MARCH 4, 2025
Use identity and access management (AWS IAM). You can compare these credentials with the root credentials of a Linux system or the root account for your AWS account. You could use AWS IAM, and this will give us the ability to be more least privileged. Use the credentials that you created at deployment time.
Xebia
OCTOBER 23, 2024
Region Evacuation with static anycast IP approach Welcome back to our comprehensive "Building Resilient Public Networking on AWS" blog series, where we delve into advanced networking strategies for regional evacuation, failover, and robust disaster recovery. Find the detailed guide here.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
CIO
DECEMBER 6, 2024
This unification of analytics and AI services is perhaps best exemplified by a new offering inside Amazon SageMaker, Unified Studio , a preview of which AWS CEO Matt Garman unveiled at the companys annual re:Invent conference this week.
Xebia
OCTOBER 12, 2024
We all played around with AWS StepFunctions in our careers. There are no endless loops in StepFunctions If you find yourself in such an “endless” loop, AWS will stop executing once you have exceeded 25,000 events. Even if you implement it, it will eventually be stopped by AWS. It is a fantastic orchestration tool!
Advertiser: Datadog
Containers power many of the applications we use every day. Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources.
AWS Machine Learning - AI
NOVEMBER 6, 2024
AWS provides a powerful set of tools and services that simplify the process of building and deploying generative AI applications, even for those with limited experience in frontend and backend development. The AWS deployment architecture makes sure the Python application is hosted and accessible from the internet to authenticated users.
AWS Machine Learning - AI
MARCH 4, 2025
To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. This allows teams to focus more on implementing improvements and optimizing AWS infrastructure. This systematic approach leads to more reliable and standardized evaluations.
Advertiser: Datadog
In this eBook, find out about the benefits and complexities of migrating workloads to AWS, and dive into services that AWS offers for containers and serverless computing. Find out the key performance metrics for each service to track in order to ensure workloads are operating efficiently.
Speaker: Veena Vasudevan and Jason Hughes
In this webinar, Dremio and AWS will discuss the most common challenges in data architecture and how to overcome them with an open data lakehouse architecture on AWS. By moving analytic workloads to the data lakehouse you can save money, make more of your data accessible to consumers faster, and provide users a better experience.
Advertisement
Yet keeping all the moving parts of cloud running right – especially in a fast-moving, competitive market – can cause conflict between technical and business objectives.
Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale
Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources. Real-world examples of data initiatives from AWS Data Exchange, SimilarWeb, Facteus, and SafeGraph customers.
Speaker: Ryan Bryers, SVP of Global Engineering
With technology giants like Google, AWS, and Azure leading the charge, the true value of the cloud extends far beyond cost savings. In a rapidly evolving industry, the shift from traditional on-premise systems to cloud-based solutions has become crucial for retail success.
Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS
In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently. Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? Javier Ramirez will present: The typical steps for building a data lake.
Speaker: Paul Weald, Contact Center Innovator
Learn how to streamline productivity and efficiency across your organization with machine learning and artificial intelligence! No matter what industry you're in - healthcare, customer service, sales, and more - it’s easier than you think to reduce wait times, monitor sentiment, and provide enhanced self-service options for all of your users.
Expert insights. Personalized for you.
162 
Let's personalize your content