AWS DevOps & Developer Productivity Blog
Tag: DevOps
How SOMA Global deploys their application with a dynamic multi-account pipeline
In April 2020, SOMA Global, a leading provider of Public Safety as a Service (PSAAS™), set out to update its computer aided design (CAD) platform to increase reliability to 99.999%, an industry first. SOMA Global adopted an account-based approach for tenant isolation to meet Criminal Justice Information Service (CJIS) regulations. The development and operations team […]
Serverless UI testing using Selenium, AWS Lambda, AWS Fargate, and AWS Developer Tools
Since the post Using AWS CodePipeline, AWS CodeBuild, and AWS Lambda for Serverless Automated UI Testing was published, things have evolved with Chrome headless and Firefox headless being supported natively. AWS Lambda now supports container images, AWS Step Functions has added support for Map state and its integration with Lambda, and AWS Fargate has enabled […]
Building a serverless Jenkins environment on AWS Fargate
Jenkins is a popular open-source automation server that enables developers around the world to reliably build, test, and deploy their software. Jenkins uses a controller-agent architecture in which the controller is responsible for serving the web UI, stores the configurations and related data on disk, and delegates the jobs to the worker agents that run […]
CI/CD on Amazon EKS using AWS CodeCommit, AWS CodePipeline, AWS CodeBuild, and FluxCD
This post discusses how we can speed up the development of our Kubernetes infrastructure by using a continuous integration (CI) pipeline to build our Docker images and automatically deploy them to our Amazon Elastic Kubernetes Service (Amazon EKS) cluster using FluxCD and the GitOps philosophy as the continuous delivery (CD) element. To do so, we […]
Integrating AWS Device Farm with your CI/CD pipeline to run cross-browser Selenium tests
Continuously building, testing, and deploying your web application helps you release new features sooner and with fewer bugs. In this blog, you will create a continuous integration and continuous delivery (CI/CD) pipeline for a web app using AWS CodeStar services and AWS Device Farm’s desktop browser testing service. AWS CodeStar is a suite of services […]
Developing enterprise application patterns with the AWS CDK
Enterprises often need to standardize their infrastructure as code (IaC) for governance, compliance, and quality control reasons. You also need to manage and centrally publish updates to your IaC libraries. In this post, we demonstrate how to use the AWS Cloud Development Kit (AWS CDK) to define patterns for IaC and publish them for consumption […]
Using AWS DevOps Tools to model and provision AWS Glue workflows
This post provides a step-by-step guide on how to model and provision AWS Glue workflows utilizing a DevOps principle known as infrastructure as code (IaC) that emphasizes the use of templates, source control, and automation. The cloud resources in this solution are defined within AWS CloudFormation templates and provisioned with automation features provided by AWS […]
Building end-to-end AWS DevSecOps CI/CD pipeline with open source SCA, SAST and DAST tools
DevOps is a combination of cultural philosophies, practices, and tools that combine software development with information technology operations. These combined practices enable companies to deliver new application features and improved services to customers at a higher velocity. DevSecOps takes this a step further, integrating security into DevOps. With DevSecOps, you can deliver secure and compliant […]
Deploying CIS Level 1 hardened AMIs with Amazon EC2 Image Builder
The NFL, an AWS Professional Services partner, is collaborating with NFL’s Player Health and Safety team to build the Digital Athlete Program. The Digital Athlete Program is working to drive progress in the prevention, diagnosis, and treatment of injuries; enhance medical protocols; and further improve the way football is taught and played. The NFL, in […]
Automate thousands of mainframe tests on AWS with the Micro Focus Enterprise Suite
We have seen mainframe customers often encounter scalability constraints, and they can’t support their development and test workforce to the scale required to support business requirements. These constraints can lead to delays, reduce product or feature releases, and make them unable to respond to market requirements. Furthermore, limits in capacity and scale often affect the quality of changes deployed, and are linked to unplanned or unexpected downtime in products or services.
The conventional approach to address these constraints is to scale up, meaning to increase MIPS/MSU capacity of the mainframe hardware available for development and testing. The cost of this approach, however, is excessively high, and to ensure time to market, you may reject this approach at the expense of quality and functionality. If you’re wrestling with these challenges, this post is written specifically for you.









