AWS Related Topics 
CIO
JUNE 11, 2024
With a shortage of IT workers with AI skills looming, Amazon Web Services (AWS) is offering two new certifications to help enterprises building AI applications on its platform to find the necessary talent. Candidates for this certification can sign up for an AWS Skill Builder subscription to check three new courses exploring various concepts.
CIO
AUGUST 23, 2024
Among these, four entities explicitly named Amazon Web Services (AWS) as their cloud service provider, accessing the services through Chinese intermediaries rather than directly from AWS. The report also shows how US companies are profiting from China’s increasing demand for computing resources.
CIO
MAY 29, 2024
SAP is expanding its AI ecosystem with a partnership with AWS. The cloud hyperscalers AWS, Google and Microsoft are also important platform partners to operate SAP’s cloud applications. The cloud hyperscalers AWS, Google and Microsoft are also important platform partners to operate SAP’s cloud applications.
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.
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.
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!
CIO
MAY 21, 2024
Customers around the world have seamlessly migrated their enterprise applications to VMware Cloud on AWS to combine the scale and agility benefits of public cloud with the security, resiliency, and performance benefits of private cloud. VMware Cloud on AWS is no longer directly sold by AWS or its channel partners.
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.
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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.
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