AWS Compute Blog

Innovation Flywheels and the AWS Serverless Application Repository

At AWS, our customers have always been the motivation for our innovation. In turn, we’re committed to helping them accelerate the pace of their own innovation. It was in the spirit of helping our customers achieve their objectives faster that we launched AWS Lambda in 2014, eliminating the burden of server management and enabling AWS […]

Read More
Sample microservices application

Managing Cross-Account Serverless Microservices

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 […]

Read More

New Amazon EC2 Spot pricing model: Simplified purchasing without bidding and fewer interruptions

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 […]

Read More

Message Filtering Operators for Numeric Matching, Prefix Matching, and Blacklisting in Amazon SNS

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 […]

Read More

Taking Advantage of Amazon EC2 Spot Instance Interruption Notices

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 […]

Read More

Application Tracing on Kubernetes with AWS X-Ray

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 […]

Read More
Source capture from the Ricoh Theta S

Building an Immersive VR Streaming Solution on AWS

This post was contributed by: 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 became apparent that while the VR ecosystem is large […]

Read More

Running ActiveMQ in a Hybrid Cloud Environment with Amazon MQ

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 […]

Read More

Applying the Twelve-Factor App Methodology to Serverless Applications

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 […]

Read More

Sharing Secrets with AWS Lambda Using AWS Systems Manager Parameter Store

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 […]

Read More