Category: Advanced (300)

Note: Customers no longer need to manage their own GitHub runners, you can now use AWS CodeBuild for managed GitHub Actions self-hosted runners, which provides ephemeral and scalable runner environment with strong security boundaries and low start up latency. With AWS CodeBuild, you don’t need to maintain your own infrastructure or build scaling logic, as […]

Pull Requests play a critical part in the software development process. They ensure that a developer’s proposed code changes are reviewed by relevant parties before code is merged into the main codebase. This is a standard procedure that is followed across the globe in different organisations today. However, pull requests often require code reviewers to […]

As organizations embrace cloud computing as part of “cloud first” strategy, and migrate to the cloud, some of the enterprises end up in a multicloud environment.  We see that enterprise customers get the best experience, performance and cost structure when they choose a primary cloud provider. However, for a variety of reasons, some organizations end […]

The AWS Cloud Development Kit (AWS CDK) is an open-source software development framework to define cloud infrastructure in familiar programming languages and provision it through AWS CloudFormation. In this blog post, we will explore the process of creating a Continuous Integration/Continuous Deployment (CI/CD) pipeline for a .NET AWS Lambda function using the CDK Pipelines. We […]

DevSecOps is the practice of integrating security testing at every stage of the software development process. Amazon CodeCatalyst includes tools that encourage collaboration between developers, security specialists, and operations teams to build software that is both efficient and secure. DevSecOps brings cultural transformation that makes security a shared responsibility for everyone who is building the […]

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 […]

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 […]

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 […]