AWS DevOps Blog

Category: Technical How-to

Using AWS CloudFormation and AWS Cloud Development Kit to provision multicloud resources

Using AWS CloudFormation and AWS Cloud Development Kit to provision multicloud resources

Customers often need to architect solutions to support components across multiple cloud service providers, a need which may arise if they have acquired a company running on another cloud, or for functional purposes where specific services provide a differentiated capability. In this post, we will show you how to use the AWS Cloud Development Kit […]

How to add notifications and manual approval to an AWS CDK Pipeline

A deployment pipeline typically comprises several stages such as dev, test, and prod, which ensure that changes undergo testing before reaching the production environment. To improve the reliability and stability of release processes, DevOps teams must review Infrastructure as Code (IaC) changes before applying them in production. As a result, implementing a mechanism for notification and manual approval […]

Featured Image

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 […]

Load test your applications in a CI/CD pipeline using CDK pipelines and AWS Distributed Load Testing Solution

Load testing is a foundational pillar of building resilient applications. Today, load testing practices across many organizations are often based on desktop tools, where someone must manually run the performance tests and validate the results before a software release can be promoted to production. This leads to increased time to market for new features and […]

Developing with Java and Spring Boot using Amazon CodeWhisperer

Developers often have to work with multiple programming languages depending on the task at hand.  Sometimes, this is a result of choosing the right tool for a specific problem, or it is mandated by adhering to a specific technology adopted by a team.  Within a specific programming language, developers may have to work with frameworks, […]

Deploy serverless applications in a multicloud environment using Amazon CodeCatalyst

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, and build, test, and deploy applications by leveraging CodeCatalyst Workflows. Introduction In the first post of the […]

Deploy container applications in a multicloud environment using Amazon CodeCatalyst

Deploy container applications in a multicloud environment using Amazon CodeCatalyst

In the previous post of this blog series, we saw how organizations can deploy workloads to virtual machines (VMs) in a hybrid and multicloud environment. This post shows how organizations can address the requirement of deploying containers, and containerized applications to hybrid and multicloud platforms using Amazon CodeCatalyst. CodeCatalyst is an integrated DevOps service which […]

How to write and execute integration tests for AWS CDK applications

How to write and execute integration tests for AWS CDK applications

Automated integration testing validates system components and boosts confidence for new software releases. Performing integration tests on resources deployed to the AWS cloud enables the validation of AWS Identity and Access Management (IAM) policies, service limits, application configuration, and runtime code. For developers that are currently leveraging AWS Cloud Development Kit (AWS CDK) as their […]

Directing ML-powered Operational Insights from Amazon DevOps Guru to your Datadog event stream

Amazon DevOps Guru is a fully managed AIOps service that uses machine learning (ML) to quickly identify when applications are behaving outside of their normal operating patterns and generates insights from its findings. These insights generated by DevOps Guru can be used to alert on-call teams to react to anomalies for business mission critical workloads. […]