Category: Launch

Our customers use Amazon EMR (including Apache Hadoop and the full range of tools that make up the Apache Spark ecosystem) to handle many types of mission-critical big data use cases. For example: Yelp processes over a terabyte of log files and photos every day. Expedia processes streams of clickstream, user interaction, and supply data. […]

Amazon API Gateway allows you to quickly and easily build and run application backends that are robust and scalable. With the recent addition of usage plans, you can create an ecosystem of partner developers around your APIs. Let’s review some terminology to start things off: Endpoint – A URL (provided by API Gateway) that responds […]

AWS CloudFormation gives you the ability to express entire stacks (collections of related AWS resources) declaratively, by constructing templates. You can define a stack, specify and configure the desired resources and their relationship to each other, and then launch as many copies of the stack as desired. CloudFormation will create and set up the resources […]

AWS Cost Explorer is a powerful tool that helps you to visualize, understand, and manage your AWS spending (read The New Cost Explorer for AWS to learn more). You can view your spend by service or by linked account, with your choice of daily or monthly granularity. You can also create custom filters based on […]

Amazon Relational Database Service (Amazon RDS) simplifies the process of setting up, operating, and scaling a relational database in the cloud. With support for six database engines (Amazon Aurora, Oracle, Microsoft SQL Server, PostgreSQL, MySQL, and MariaDB) RDS has become a foundation component for many cloud-based applications. We launched support for PostgreSQL in late 2013 […]

Feature-by-feature, Amazon Aurora has become more powerful and easier to use. Over the past months we have given you the ability to create a cluster from a MySQL backup, create cross-region read replicas, share snapshots across accounts, exercise additional control over failover, and migrate from other in-cloud or on-premises databases to Aurora. Today, as an […]

When I interview a candidate for a technical position, I often ask them to explain what happens when they see a interesting link and decide to click on it. I encourage them to go in to as much detail as they would like. The answers let me know how well they understand and can explain […]

Amazon Aurora is currently the fastest-growing AWS service! As a relational database designed for the cloud (read Amazon Aurora – New Cost-Effective MySQL-Compatible Database Engine for Amazon RDS to learn more), Aurora offers great performance, effortless storage scaling all the way up to 64 TB, durability, and high availability. Because Aurora was designed to be […]