AWS Compute Blog

Category: Developer Tools*

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 […]

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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 […]

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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 […]

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CodeStar Go application

Announcing Go Support for AWS Lambda

This post courtesy of Paul Maddox, Specialist Solutions Architect (Developer Technologies). Today, we’re excited to announce Go as a supported language for AWS Lambda. As someone who’s done their fair share of Go development (recent projects include AWS SAM Local and GoFormation), this is a release I’ve been looking forward to for a while. I’m […]

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Set Up a Continuous Delivery Pipeline for Containers Using AWS CodePipeline and Amazon ECS

This post contributed by Abby Fuller, AWS Senior Technical Evangelist Last week, AWS announced support for Amazon Elastic Container Service (ECS) targets (including AWS Fargate) in AWS CodePipeline. This support makes it easier to create a continuous delivery pipeline for container-based applications and microservices. Building and deploying containerized services manually is slow and prone to errors. Continuous delivery […]

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Serverless @ re:Invent 2017

At re:Invent 2014, we announced AWS Lambda, what is now the center of the serverless platform at AWS, and helped ignite the trend of companies building serverless applications. This year, at re:Invent 2017, the topic of serverless was everywhere. We were incredibly excited to see the energy from everyone attending 7 workshops, 15 chalk talks, 20 […]

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Implementing Canary Deployments of AWS Lambda Functions with Alias Traffic Shifting

This post courtesy of Ryan Green, Software Development Engineer, AWS Serverless The concepts of blue/green and canary deployments have been around for a while now and have been well-established as best-practices for reducing the risk of software deployments. In a traditional, horizontally scaled application, copies of the application code are deployed to multiple nodes (instances, […]

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Event-Driven Computing with Amazon SNS and AWS Compute, Storage, Database, and Networking Services

Contributed by Otavio Ferreira, Manager, Software Development, AWS Messaging Like other developers around the world, you may be tackling increasingly complex business problems. A key success factor, in that case, is the ability to break down a large project scope into smaller, more manageable components. A service-oriented architecture guides you toward designing systems as a collection of […]

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X-Ray trace on subsequent invocations of the Lambda function without the cold start

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 […]

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