AWS DevOps Blog

Category: Technical How-to

Chaos experiments on Amazon RDS using AWS Fault Injection Simulator

Performing controlled chaos experiments on your Amazon Relational Database Service (RDS) database instances and validating the application behavior is essential to making sure that your application stack is resilient. How does the application behave when there is a database failover? Will the connection pooling solution or tools being used gracefully connect after a database failover […]

Deploy .NET Blazor WebAssembly Application to AWS Amplify

AWS Amplify is a set of purpose-built tools and features that lets developers quickly and easily build CI/CD Pipeline for full-stack applications on AWS. Blazor can run your client-side C# code directly in the browser, using WebAssembly. It is a .NET running on WebAssembly, and you can reuse code and libraries from the server-side parts […]

Automate code reviews with Amazon CodeGuru Reviewer

A common problem in software development is accidentally or unintentionally merging code with bugs, defects, or security vulnerabilities into your main branch. Finding and mitigating these faulty lines of code deployed to the production environment can cause severe outages in running applications and can cost unnecessary time and effort to fix. Amazon CodeGuru Reviewer tackles […]

Deploy and Manage Gitlab Runners on Amazon EC2

Gitlab CI is a tool utilized by many enterprises to automate their Continuous integration, continuous delivery and deployment (CI/CD) process. A Gitlab CI/CD pipeline consists of two major components: A .gitlab-ci.yml file describing a pipeline’s jobs, and a Gitlab Runner, an application that executes the pipeline jobs. Setting up the Gitlab Runner is a time-consuming […]

Monitor AWS resources created by Terraform in Amazon DevOps Guru using tfdevops

This post was written in collaboration with Kapil Thangavelu, CTO at Stacklet Amazon DevOps Guru is a machine learning (ML) powered service that helps developers and operators automatically detect anomalies and improve application availability. DevOps Guru utilizes machine learning models, informed by years of Amazon.com and AWS operational excellence to identify anomalous application behavior (e.g., increased […]

Define application boundary using AWS resources tags in Amazon DevOps Guru

Amazon DevOps Guru is an ML powered service that makes it easy to improve an application’s operational performance and availability. By analyzing application metrics, logs, events and traces, DevOps Guru identifies behaviors that deviate from normal operating patterns and creates insights that you can use to improve your application. At re:Invent 2021, we announced a […]

AWS ControlTower Account Vending integration and ChatOps bot architecture

AWS Control Tower Account vending through Amazon Lex ChatBot

In this blog post you will learn about a multi-environment solution that uses a cloud native CICD pipeline to build, test, and deploy a Serverless ChatOps bot that integrates with AWS Control Tower Account Factory for AWS account vending. This solution can be used and integrated with any of your favourite request portal or channel […]

Align with best practices while creating infrastructure using CDK Aspects

Organizations implement compliance rules for cloud infrastructure to ensure that they run the applications according to their best practices. They utilize AWS Config to determine overall compliance against the configurations specified in their internal guidelines. This is determined after the creation of cloud resources in their AWS account. This post will demonstrate how to use […]

Target cross-platform Go builds with AWS CodeBuild Batch builds

Many different operating systems and architectures could end up as the destination for our applications. By using a AWS CodeBuild batch build, we can run builds for a Go application targeted at multiple platforms concurrently. Cross-compiling Go binaries for different platforms is as simple as setting two environment variables $GOOS and $GOARCH, regardless of the […]

Simulated location data with Amazon Location Service

Modern location-based applications require the processing and storage of real-world assets in real-time. The recent release of Amazon Location Service and its Tracker feature makes it possible to quickly and easily build these applications on the AWS platform. Tracking real-world assets is important, but at some point when working with Location Services you will need to […]