AWS DevOps & Developer Productivity Blog

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Enforcing AWS CloudFormation scanning in CI/CD Pipelines at scale using Trend Micro Cloud One Conformity

Integrating AWS CloudFormation template scanning into CI/CD pipelines is a great way to catch security infringements before application deployment. However, implementing and enforcing this in a multi team, multi account environment can present some challenges, especially when the scanning tools used require external API access. This blog will discuss those challenges and offer a solution […]

solution architecture diagram

Continuous Compliance Workflow for Infrastructure as Code: Part 2

In the first post of this series, we introduced a continuous compliance workflow in which an enterprise security and compliance team can release guardrails in a continuous integration, continuous deployment (CI/CD) fashion in your organization. In this post, we focus on the technical implementation of the continuous compliance workflow. We demonstrate how to use AWS […]

Keeping up with your dependencies: building a feedback loop for shared libraries

In a microservices world, it’s common to share as little as possible between services. This enables teams to work independently of each other, helps to reduce wait times and decreases coupling between services. However, it’s also a common scenario that libraries for cross-cutting-concerns (such as security or logging) are developed one time and offered to […]

Solution Architecture

Building a CI/CD pipeline to update an AWS CloudFormation StackSets

AWS CloudFormation StackSets can extend the functionality of CloudFormation Stacks by enabling you to create, update, or delete one or more stack across multiple accounts. As a developer working in a large enterprise or for a group that supports multiple AWS accounts, you may often find yourself challenged with updating AWS CloudFormation StackSets. If you’re […]

Use AWS CodeCommit to mirror an Azure DevOps repository using an Azure DevOps pipeline

AWS customers with Git repositories in Azure DevOps can automatically backup their repositories in the AWS Cloud using an AWS CodeCommit repository as a replica. By configuring an Azure DevOps pipeline, the source and replica repositories can be automatically kept in sync. When updates are pushed to the source repository, the pipeline will be triggered […]

Containers devsecops pipeline architecture

Building an end-to-end Kubernetes-based DevSecOps software factory on AWS

DevSecOps software factory implementation can significantly vary depending on the application, infrastructure, architecture, and the services and tools used. In a previous post, I provided an end-to-end DevSecOps pipeline for a three-tier web application deployed with AWS Elastic Beanstalk. The pipeline used cloud-native services along with a few open-source security tools. This solution is similar, […]

Increase your e-commerce website reliability using chaos engineering and AWS Fault Injection Simulator  

Customer experience is a key differentiator for retailers, and improving this experience comes through speed and reliability. An e-commerce website is one of the first applications customers use to interact with your brand. For a long time, testing an application has been the only way to battle-test an application before going live. Testing is very […]

Hackathon Solution Overview

Hackathons with AWS Cloud9: Collaboration simplified for your next big idea

Many organizations host ideation events to innovate and prototype new ideas faster.  These events usually run for a short duration and involve collaboration between members of participating teams. By the end of the event, a successful demonstration of a working prototype is expected and the winner or the next steps are determined. Therefore, it’s important […]

BigHat Reference Architecture

Choosing a CI/CD approach: AWS Services with BigHat Biosciences

Founded in 2019, BigHat Biosciences’ mission is to improve human health by reimagining antibody discovery and engineering to create better antibodies faster. Their integrated computational + experimental approach speeds up antibody design and discovery by combining high-speed molecular characterization with machine learning technologies to guide the search for better antibodies. They apply these design capabilities […]