The Latest in AWS
If you are in the tech world, you have already likely heard of AWS (Amazon Web Services), the frontrunner to other cloud services such as Microsoft Azure. AWS is a secure cloud services platform which offers compute power, database storage, content delivery and other functionalities that allow companies to build and expand.
In simple terms, AWS allows businesses to:
— Run web and application servers in the cloud so that they can host dynamic websites.
— Safely store files on the cloud so that anyone can access them from anywhere.
— Use managed databases like MySQL, PostgreSQL, Oracle or SQL Server in order to store information.
— Deliver both static and dynamic files quickly across the globe using a Content Delivery Network (CDN).
— Send bulk email to customers.
These are only a few of the functionalities of AWS. As you can imagine, the platform supports a variety of other services that companies can easily leverage to their benefit.
Customers of AWS come from 190 countries worldwide, including 5000 ed-tech institutions and 2000 government organizations. Companies such as ESPN, Adobe, Twitter, Netflix, Facebook, BBC, etc., use AWS services.
Most recently, AWS has announced some exciting milestones:
First introduced at re:Invent in November 2021, AWS Mainframe Modernization is now generally available for customer (and partner) use. Mainframe Modernization is a unique platform that allows users to migrate and modernize their mainframe workloads to a managed and highly available runtime environment on AWS. The service currently supports two main migration patterns — re-platforming and automated refactoring — so that companies can select the best-fit migration path and associated toolchains based on their migration assessment results.
As of June 1, 2022, AWS announced the general availability of Amazon EMR Serverless, a new serverless deployment option in Amazon EMR that makes it easy and cost effective for data engineers and analysts to run petabyte-scale data analytics in the cloud. Amazon EMR is a big data solution that companies can use to run large-scale distributed data processing jobs, interactive SQL queries, and machine learning (ML) applications built on open-source analytics frameworks such as Apache Spark, Apache Hive, and Presto. With EMR Serverless, companies can run their Spark and Hive applications without having to configure, optimize, tune, or manage clusters.
These are only two examples out of many, and AWS continues to innovate. For more information, please check out Amazon’s product page. Here, you will learn how to access the world’s most successful cloud provider.
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