AWS DevOps Blog

Tag: AWS CodePipeline

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 […]

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.

Automating deployments to Raspberry Pi devices using AWS CodePipeline

Managing applications deployments on Raspberry Pi can be cumbersome, especially in headless mode and at scale when placing the devices outdoors and out of reach such as in home automation projects, in the yard (for motion detection) or on the roof (as a humidity and temperature sensor). In these use cases, you have to remotely […]

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Standardizing CI/CD pipelines for .NET web applications with AWS Service Catalog

As companies implement DevOps practices, standardizing the deployment of continuous integration and continuous deployment (CI/CD) pipelines is increasingly important. Your developer team may not have the ability or time to create your own CI/CD pipelines and processes from scratch for each new project. Additionally, creating a standardized DevOps process can help your entire company ensure […]

DevOps-Feedback-Flow

Complete CI/CD with AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline

Many organizations have been shifting to DevOps practices, which is the combination of cultural philosophies, practices, and tools that increases your organization’s ability to deliver applications and services at high velocity; for example, evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes. An integral part of […]

Diagram showing at a high level the Pushly environment.

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

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. 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 […]

Diagram of Automated Testing Pipeline architecture

Automated CloudFormation Testing Pipeline with TaskCat and CodePipeline

Researchers at Academic Medical Centers (AMCs) use programs such as Observational Health Data Sciences and Informatics (OHDSI) and Research Electronic Data Capture (REDCap) to interact with healthcare data. Our internal team at AWS has provided solutions such as OHDSI-on-AWS and REDCap environments on AWS to help clinicians analyze healthcare data in the AWS Cloud. Occasionally, […]

CodePipeline with CodeCommit, CodeBuild and CodeDeploy stages.

Automated CI/CD pipeline for .NET Core Lambda functions using AWS extensions for dotnet CLI

The trend of building AWS Serverless applications using AWS Lambda is increasing at an ever-rapid pace. Common use cases for AWS Lambda include data processing, real-time file processing, and extract, transform, and load (ETL) for data processing, web backends, internet of things (IoT) backends, and mobile backends. Lambda natively supports languages such as Java, Go, […]

Architecture diagram

Building a CI/CD pipeline for cross-account deployment of an AWS Lambda API with the Serverless Framework

Modern-day applications that reside on AWS have several distinct environments and accounts, such as dev, test, and staging. An application has to go through an elaborate process of deployment and testing in these environments before reaching its final destination. To achieve automated deployment of the application across different environments, you must use CI/CD pipelines. Different […]

Click Connect to Bitbucket.

Using AWS CodePipeline and AWS CodeStar Connections to deploy from Bitbucket

AWS CodeStar Connections is a new feature that allows services like AWS CodePipeline to access third-party code source provider. For example, you can now seamlessly connect your Atlassian Bitbucket Cloud source repository to AWS CodePipeline. This allows you to automate  the build, test, and deploy phases of your release process each time a code change […]