AWS Compute Blog

This post courtesy of Michael Edge, Sr. Cloud Architect – AWS Professional Services Applications built using a microservices architecture typically result in a number of independent, loosely coupled microservices communicating with each other, synchronously via their APIs and asynchronously via events. These microservices are often owned by different product teams, and these teams may segregate their […]

Contributed by Deepthi Chelupati and Roshni Pary Amazon EC2 Spot Instances offer spare compute capacity in the AWS Cloud at steep discounts. Customers—including Yelp, NASA JPL, FINRA, and Autodesk—use Spot Instances to reduce costs and get faster results. Spot Instances provide acceleration, scale, and deep cost savings to big data workloads, containerized applications such as […]

This blog was contributed by Otavio Ferreira, Software Development Manager for Amazon SNS Message filtering simplifies the overall pub/sub messaging architecture by offloading message filtering logic from subscribers, as well as message routing logic from publishers. The initial launch of message filtering provided a basic operator that was based on exact string comparison. For more […]

Amazon EC2 Spot Instances are spare compute capacity in the AWS Cloud available to you at steep discounts compared to On-Demand prices. The only difference between On-Demand Instances and Spot Instances is that Spot Instances can be interrupted by Amazon EC2 with two minutes of notification when EC2 needs the capacity back. Customers have been […]

This post was contributed by Christoph Kassen, AWS Solutions Architect With the emergence of microservices architectures, the number of services that are part of a web application has increased a lot. It’s not unusual anymore to build and operate hundreds of separate microservices, all as part of the same application. Think of a typical e-commerce […]

This post was contributed by: Konstantin WilmsSolutions Architect Shawn PrzybillaSolutions Architect Chad SchmutzerSolutions Architect With the explosion in virtual reality (VR) technologies over the past few years, we’ve had an increasing number of customers ask us for advice and best practices around deploying their VR-based products and service offerings on the AWS Cloud. It soon […]

This post courtesy of Greg Share, AWS Solutions Architect Many organizations, particularly enterprises, rely on message brokers to connect and coordinate different systems. Message brokers enable distributed applications to communicate with one another, serving as the technological backbone for their IT environment, and ultimately their business services. Applications depend on messaging to work. In many […]

The Twelve-Factor App methodology is twelve best practices for building modern, cloud-native applications. With guidance on things like configuration, deployment, runtime, and multiple service communication, the Twelve-Factor model prescribes best practices that apply to a diverse number of use cases, from web applications and APIs to data processing applications. Although serverless computing and AWS Lambda […]

This post courtesy of Roberto Iturralde, Sr. Application Developer- AWS Professional Services Application architects are faced with key decisions throughout the process of designing and implementing their systems. One decision common to nearly all solutions is how to manage the storage and access rights of application configuration. Shared configuration should be stored centrally and securely with […]

AWS Fargate is a new compute engine that works with Amazon Elastic Container Service (ECS) to run containers without having to manage servers or clusters. What does this mean? With Fargate, you no longer need to provision or manage a single virtual machine; you can just create tasks and run them directly! Fargate uses the same API actions as ECS, […]