Category: AWS CodePipeline

The AWS Cloud Development Kit (AWS CDK) is an open-source software development framework to define cloud infrastructure in familiar programming languages and provision it through AWS CloudFormation. In this blog post, we will explore the process of creating a Continuous Integration/Continuous Deployment (CI/CD) pipeline for a .NET AWS Lambda function using the CDK Pipelines. We […]

In this post I will show you how to add a manual approval to AWS Cloud Development Kit (CDK) Pipelines to confirm security changes before deployment. With this solution, when a developer commits a change, CDK pipeline identifies an IAM permissions change, pauses execution, and sends a notification to a security engineer to manually approve […]

As of February 2022, the AWS Cloud spans 84 Availability Zones within 26 geographic Regions, with announced plans for more Availability Zones and Regions. Customers can leverage this global infrastructure to expand their presence to their primary target of users, satisfying data residency requirements, and implementing disaster recovery strategy to make sure of business continuity. […]

Everything fails all the time — Werner Vogels, AWS CTO At the moment of imminent failure, you want to avoid an unlucky deployment. I’ll start here with a short story that demonstrates the purpose of this post. The DevOps team has just started a database upgrade with a planned outage of 30 minutes. The team […]

Introduction AWS Service Catalog enables organizations to create and manage Information Technology (IT) services catalogs that are approved for use on AWS. These IT services can include resources such as virtual machine images, servers, software, and databases to complete multi-tier application architectures. AWS Service Catalog lets you centrally manage deployed IT services and your applications, […]

This post is intended to assist users in understanding and replicating a method to unit test Python-based ETL Glue Jobs, using the PyTest Framework in AWS CodePipeline. In the current practice, several options exist for unit testing Python scripts for Glue jobs in a local environment. Although a local development environment may be set up […]

Organizations running mainframe production workloads often follow the traditional approach of application deployment. To release new features of existing applications into production, the application is redeployed using the new version of software on the existing infrastructure. This poses the following challenges: The cutover of the application deployment from testing to production usually takes place during […]

Software as a Service (SaaS) is an increasingly popular business model for independent software vendors (ISVs), including benefits such as a pay-as-you-go pricing model, scalability, and availability. SaaS services can be built by using numerous architectural models. The silo model provides each tenant with dedicated resources and a shared-nothing architecture. Silo deployments also provide isolation […]

InnerSource is the term for the emerging practice of organizations adopting the open source methodology, albeit to develop proprietary software. This blog discusses the building of a model InnerSource ecosystem that leverages multiple AWS services, such as CodeBuild, CodeCommit, CodePipeline, CodeArtifact, and CodeGuru, along with other AWS services and open source tools.

AWS Lambda launched support for packaging and deploying functions as container images at re:Invent 2020. In the post working with Lambda layers and extensions in container images, we demonstrated packaging Lambda Functions with layers while using container images. This post will teach you to use AWS CodePipeline to deploy docker images for microservices architecture involving […]