AWS DevOps Blog

Tag: AWS CodeBuild

Solutions Design diagram explaining how the solution is structured

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 […]

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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 […]

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architecture diagram showing ETL process

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 […]

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self service catalog portal

How FactSet automates thousands of AWS accounts at scale

This post is by FactSet’s Cloud Infrastructure team, Gaurav Jain, Nathan Goodman, Geoff Wang, Daniel Cordes, Sunu Joseph, and AWS Solution Architects Amit Borulkar and Tarik Makota. In their own words, “FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, which provides instant access to financial […]

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Mainfrme DevOps On AWS Architecture Overview, Two types of pipelines, Project Pipeline and Regression Pipeline

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.

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Diagram showing at a high level the Pushly environment.

How Pushly Media used AWS to pivot and quickly spin up a StartUp

This is a guest post from Pushly. In their own words, “Pushly provides a scalable, easy-to-use platform designed to deliver targeted and timely content via web push notifications across all modern desktop browsers and Android devices.” Introduction As a software engineer at Pushly, I’m part of a team of developers responsible for building our SaaS […]

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CodeBuildExternalCacheDiagram

Reducing Docker image build time on AWS CodeBuild using an external cache

With the proliferation of containerized solutions to simplify creating, deploying, and running applications, coupled with the use of automation CI/CD pipelines that continuously rebuild, test, and deploy such applications when new changes are committed, it’s important that your CI/CD pipelines run as quickly as possible, enabling you to get early feedback and allowing for faster […]

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architecture diagram

Scalable agile development practices based on AWS CodeCommit

Development teams use agile development processes based on Git services extensively. AWS provides AWS CodeCommit, a managed, Git protocol-based, secure, and highly available code service. The capabilities of CodeCommit combined with other developer tools, like AWS CodeBuild and AWS CodePipeline, make it easy to manage collaborative, scalable development process with fine-grained permissions and on-demand resources.

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