AWS DevOps & Developer Productivity Blog
Tag: DevOps
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
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 […]
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. […]
Automated Code Review on Pull Requests using AWS CodeCommit and AWS CodeBuild
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 […]
How to deploy workloads in a multicloud environment with AWS developer tools
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 […]
Optimize software development with Amazon CodeWhisperer
Businesses differentiate themselves by delivering new capabilities to their customers faster. They must leverage automation to accelerate their software development by optimizing code quality, improving performance, and ensuring their software meets security/compliance requirements. Trained on billions of lines of Amazon and open-source code, Amazon CodeWhisperer is an AI coding companion that helps developers write code […]
Integrating DevOps Guru Insights with CloudWatch Dashboard
Many customers use Amazon CloudWatch dashboards to monitor applications and often ask how they can integrate Amazon DevOps Guru Insights in order to have a unified dashboard for monitoring. This blog post showcases integrating DevOps Guru proactive and reactive insights to a CloudWatch dashboard by using Custom Widgets. It can help you to correlate trends […]
DevSecOps with Amazon CodeGuru Reviewer CLI and Bitbucket Pipelines
DevSecOps refers to a set of best practices that integrate security controls into the continuous integration and delivery (CI/CD) workflow. One of the first controls is Static Application Security Testing (SAST). SAST tools run on every code change and search for potential security vulnerabilities before the code is executed for the first time. Catching security […]
10 ways to build applications faster with Amazon CodeWhisperer
Amazon CodeWhisperer is a powerful generative AI tool that gives me coding superpowers. Ever since I have incorporated CodeWhisperer into my workflow, I have become faster, smarter, and even more delighted when building applications. However, learning to use any generative AI tool effectively requires a beginner’s mindset and a willingness to embrace new ways of […]
Monitoring Amazon DevOps Guru insights using Amazon Managed Grafana
As organizations operate day-to-day, having insights into their cloud infrastructure state can be crucial for the durability and availability of their systems. Industry research estimates[1] that downtime costs small businesses around $427 per minute of downtime, and medium to large businesses an average of $9,000 per minute of downtime. Amazon DevOps Guru customers want to […]









