Tag: DevOps

Managing infrastructure deployments and application code releases can be challenging. Manual processes often lead to delays, errors, and inconsistency across different environments. This inconsistency, known as environment drift, makes it difficult to ensure reliable deployments. As a result, teams struggle to maintain a high release velocity. In this blog post, we will show how GitHub […]

In this blog post, we will walk you through an example using AWS Toolkit for Azure DevOps to deploy your AWS Glue jobs across multiple Amazon Web Services (AWS) accounts to simulate development and production environments. Introduction AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data […]

In this blog post, we will show you how to use Amazon Elastic Compute Cloud (Amazon EC2) Auto Scaling with your self-hosted Amazon EC2 Azure Pipelines agents to deploy applications to Amazon Web Services (AWS) using Azure DevOps. Introduction There are many ways that you can build and deploy your applications to AWS. You can […]

Many AWS GovCloud (US) customers and their partners use AWS CodePipeline and AWS CodeBuild to build Continuous Integration/Continuous Deployment (CI/CD) pipelines on AWS. Building on AWS GovCloud (US), however, introduces a few restrictions, not present in other AWS Regions, when implementing pipelines for Windows container applications. In this blog post, I will explain what these […]

By Thomas Sobolik – Technical Content Writer at Datadog       Maxim Brown – Team Lead, Technical Content Editor at Datadog       Charlie Shen – Sr. Partner Solutions Architect at AWS Modernization of .NET applications is often a meticulous process, and it benefits greatly by having full visibility into the applications’ behavior. Datadog, […]