AWS DevOps Blog
Category: AWS Lambda
Refactoring to Serverless: From Application to Automation
Refactor serverless apps by swapping application code with cloud automation: reduce costs, decouple logic from architecture, and leverage managed services’ native capabilities.
Best practices working with self-hosted GitHub Action runners at scale on AWS
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 […]
Best practices for managing Terraform State files in AWS CI/CD Pipeline
Introduction Today customers want to reduce manual operations for deploying and maintaining their infrastructure. The recommended method to deploy and manage infrastructure on AWS is to follow Infrastructure-As-Code (IaC) model using tools like AWS CloudFormation, AWS Cloud Development Kit (AWS CDK) or Terraform. One of the critical components in terraform is managing the state file which […]
AWS CodeBuild adds support for AWS Lambda compute mode
AWS CodeBuild recently announced that it supports running projects on AWS Lambda. AWS CodeBuild is a fully managed continuous integration (CI) service that allows you to build and test your code without having to manage build servers. This new compute mode enables you to execute your CI process on the same AWS Lambda base images […]
Automate Lambda code signing with Amazon CodeCatalyst and AWS Signer
Amazon CodeCatalyst is an integrated service for software development teams adopting continuous integration and deployment practices into their software development process. CodeCatalyst puts the tools you need all in one place. You can plan work, collaborate on code build, test, and deploy applications with continuous integration/continuous delivery (CI/CD) tools. You can also integrate AWS resources […]
Implementing automatic drift detection in CDK Pipelines using Amazon EventBridge
The AWS Cloud Development Kit (AWS CDK) is a popular open source toolkit that allows developers to create their cloud infrastructure using high level programming languages. AWS CDK comes bundled with a construct called CDK Pipelines that makes it easy to set up continuous integration, delivery, and deployment with AWS CodePipeline. The CDK Pipelines construct […]
Create a CI/CD pipeline for .NET Lambda functions with AWS CDK Pipelines
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 […]
Deliver Operational Insights to Atlassian Opsgenie using DevOps Guru
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 […]
Organize your AWS Serverless code to prevent merge conflicts
How do you prevent the most common merge conflicts when your team is working on a Serverless application? How do you make sure that your team stays productive and avoids large merge issues while trying to update the same crucial files simultaneously? –The answer to both questions is code organization! You can use cfn-include and […]
Configuration driven dynamic multi-account CI/CD solution on AWS
Many organizations require durable automated code delivery for their applications. They leverage multi-account continuous integration/continuous deployment (CI/CD) pipelines to deploy code and run automated tests in multiple environments before deploying to Production. In cases where the testing strategy is release specific, you must update the pipeline before every release. Traditional pipeline stages are predefined and […]