AWS Compute Blog
Category: AWS X-Ray
Integrating AWS X-Ray with AWS App Mesh
This post is contributed by Lulu Zhao | Software Development Engineer II, AWS AWS X-Ray helps developers and DevOps engineers quickly understand how an application and its underlying services are performing. When it’s integrated with AWS App Mesh, the combination makes for a powerful analytical tool. X-Ray helps to identify and troubleshoot the root […]
ICYMI: Serverless Q3 2018
Welcome to the third edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. Every quarter, we share all of the most recent product launches, feature enhancements, blog posts, webinars, Twitch live streams, and other interesting things that you might have missed! If you didn’t see them, catch our Q1 ICYMI and […]
Investigating spikes in AWS Lambda function concurrency
This post is courtesy of Ian Carlson, Principal Solutions Architect – AWS As mentioned in an earlier post, a key benefit of serverless applications is the ease with which they can scale to meet traffic demands or requests. AWS Lambda is at the core of this platform. Although this flexibility is hugely beneficial for our customers, sometimes […]
Developing .NET Core AWS Lambda functions
This post is courtesy of Mark Easton, Senior Solutions Architect – AWS One of the biggest benefits of Lambda functions is that they isolate you from the underlying infrastructure. While that makes it easy to deploy and manage your code, it’s critical to have a clearly defined approach for testing, debugging, and diagnosing problems. There’s […]
Powering HIPAA-compliant workloads using AWS Serverless technologies
This post courtesy of Mayank Thakkar, AWS Senior Solutions Architect Serverless computing refers to an architecture discipline that allows you to build and run applications or services without thinking about servers. You can focus on your applications, without worrying about provisioning, scaling, or managing any servers. You can use serverless architectures for nearly any type […]
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 […]
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 […]
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 […]
Analyzing Performance for Amazon Rekognition Apps Written on AWS Lambda Using AWS X-Ray
AWS X-Ray helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. With X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. It allows you to view, filter, and gain insights to identify […]