Software development teams are constantly looking for ways to accelerate their software development lifecycle (SDLC) to release quality software faster. Amazon Q, a generative AI–powered assistant, can help software development teams work more efficiently throughout the SDLC—from research to maintenance. Software development teams spend significant time on undifferentiated tasks while analyzing requirements, building, testing, and operating applications. Trained on 17 years’ worth of AWS expertise, Amazon Q can transform how you build, deploy, and operate applications and workloads on AWS. By ..read more

Amazon CodeCatalyst integrates continuous integration and deployment (CI/CD) by bringing key development tools together on one platform. With the entire application lifecycle managed in one tool, CodeCatalyst empowers rapid, dependable software delivery. CodeCatalyst offers a range of actions which is the main building block of a workflow, and defines a logical unit of work to perform during a workflow run. Typically, a workflow includes multiple actions that run sequentially or in parallel depending on how you’ve configured them. Introduction Infrastructure as code (IaC) has become a best pra ..read more

It’s an established practice for development teams to build deployment pipelines, with services such as AWS CodePipeline, to increase the quality of application and infrastructure releases through reliable, repeatable and consistent automation. Automating the deployment process helps build quality into our products by introducing continuous integration to build and test code as early as possible, aiming to catch errors before they reach production, but with all the best will in the world, issues can be missed and not caught until after a production release has been initiated. In our AWS DevOps ..read more

Introduction APIs are the key to implementing microservices that are the building blocks of modern distributed applications. Launching a new API involves defining the behavior, implementing the business logic, and configuring the infrastructure to enforce the behavior and expose the business logic. Using OpenAPI, the AWS Cloud Development Kit (AWS CDK), and AWS Solutions Constructs to build your API lets you focus on each of these tasks in isolation, using a technology specific to each for efficiency and clarity. The OpenAPI specification is a declarative language that allows you to fully defi ..read more

Amazon Q feature development enables teams using Amazon CodeCatalyst to scale with AI to assist developers in completing everyday software development tasks. Developers can now go from an idea in an issue to a fully tested, merge-ready, running application code in a Pull Request (PR) with natural language inputs in a few clicks. Developers can also provide feedback to Amazon Q directly on the published pull request and ask it to generate a new revision. If the code change falls short of expectations, a new development environment can be created directly from the pull request, necessary adjustm ..read more

The PGA TOUR is the world’s premier membership organization for touring professional golfers, co-sanctioning tournaments on the PGA TOUR along with several other developmental, senior, and international tournament series. The PGA TOUR is passionate about bringing its fans closer to the players, tournaments, and courses. They developed a new mobile app and the PGATOUR.com website to give fans immersive, enhanced, and personalized access to near-real-time leaderboards, shot-by-shot data, video highlights, sports news, statistics, and 3D shot tracking. It is critical for PGA TOUR, which operates ..read more

At re:Invent in 2023, AWS announced Infrastructure as Code (IaC) support for Amazon CodeWhisperer. CodeWhisperer is an AI-powered productivity tool for the IDE and command line that helps software developers to quickly and efficiently create cloud applications to run on AWS. Languages currently supported for IaC are YAML and JSON for AWS CloudFormation, Typescript and Python for AWS CDK, and HCL for HashiCorp Terraform. In addition to providing code recommendations in the editor, CodeWhisperer also features a security scanner that alerts the developer to potentially insecure infrastructure cod ..read more

Introduction AWS CloudFormation customers often inquire about the behind-the-scenes process of provisioning resources and why certain resources or stacks take longer to provision compared to the AWS Management Console or AWS Command Line Interface (AWS CLI). In this post, we will delve into the various factors affecting resource provisioning in CloudFormation, specifically focusing on resource stabilization, which allows CloudFormation and other Infrastructure as Code (IaC) tools to ensure resilient deployments. We will also introduce a new optimistic stabilization strategy that ..read more

Maximizing the value from Enterprise Software tools requires an understanding of who and how users interact with those tools. As we have worked with builders rolling out Amazon CodeWhisperer to their enterprises, identifying usage patterns has been critical. This blog post is a result of that work, builds on Introducing Amazon CodeWhisperer Dashboard blog and Amazon CloudWatch metrics and enables customers to build dashboards to support their rollouts. Note that these features are only available in CodeWhisperer Professional plan. Organizations have leveraged the existing Amazon CodeWhisperer ..read more

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 keeps track of your configuration and resources. When you run terraform in an AWS CI/CD pipeline the state file has to be stored in a secured, common path to which the pipeline has access to. You need a ..read more