AWS DevOps Blog

When building serverless event-driven applications using AWS Lambda, it is best practice to validate individual components.  Unit testing can quickly identify and isolate issues in AWS Lambda function code.  The techniques outlined in this blog demonstrates unit test techniques for Python-based AWS Lambda functions and interactions with AWS Services. The full code for this blog […]

Many organizations have adopted DevOps practices to streamline and automate software delivery and IT operations. A DevOps model can be adopted without sacrificing security by using automated compliance policies, fine-grained controls, and configuration management techniques. However, one of the key challenges customers face is analyzing code and detecting any vulnerabilities in the code pipeline due […]

Today, we are pleased to announce a new Amazon DevOps Guru for RDS capability: Proactive Insights. DevOps Guru for RDS is a fully-managed service powered by machine learning (ML), that uses the data collected by RDS Performance Insights to detect and alert customers of anomalous behaviors within Amazon Aurora databases. Since its release, DevOps Guru […]

To avoid high costs of downtime, mission critical applications in the cloud need to achieve resilience against degradation of cloud provider APIs and services. In 2021, AWS launched AWS Fault Injection Simulator (FIS), a fully managed service to perform fault injection experiments on workloads in AWS to improve their reliability and resilience. At the time of writing, FIS allows to […]

There are different ways to organize teams to deliver great software products. There are companies that give the end-to-end responsibility for a product to a single team, like Amazon’s Two-Pizza teams, and there are companies where multiple teams split the responsibility between infrastructure (or platform) teams and application development teams. This post provides guidance on […]

Amazon CodeCatalyst reports contain details about tests that occur during a workflow run. You can create tests such as unit tests, integration tests, configuration tests, and functional tests. You can use a test report to help troubleshoot a problem during a workflow. Introduction In prior posts in this series, I discussed reading The Unicorn Project, by […]

An Amazon CodeCatalyst workflow is an automated procedure that describes how to build, test, and deploy your code as part of a continuous integration and continuous delivery (CI/CD) system. You can use GitHub Actions alongside native CodeCatalyst actions in a CodeCatalyst workflow. Introduction: In a prior post in this series, Using Workflows to Build, Test, and Deploy […]

As organizations continue to grow and scale their applications, the need for teams to be able to quickly and autonomously detect anomalous operational behaviors becomes increasingly important. Amazon DevOps Guru offers a fully managed AIOps service that enables you to improve application availability and resolve operational issues quickly. DevOps Guru helps ease this process by […]

An Amazon CodeCatalyst Dev Environment is a cloud-based development environment that you can use in CodeCatalyst to quickly work on the code stored in the source repositories of your project. The project tools and application libraries included in your Dev Environment are defined by a devfile in the source repository of your project. Introduction In […]

In the last post, OfferUp modernized its DevOps platform with Amazon EKS and Flagger to accelerate time to market, we talked about hypergrowth and the technical challenges encountered by OfferUp in its existing DevOps platform. As a reminder, we presented how OfferUp modernized its DevOps platform with Amazon Elastic Kubernetes Service (Amazon EKS) and Flagger […]