AWS DevOps Blog

Tag: Partners

AWS Developer Tools Expands Integration to Include GitHub

AWS Developer Tools is a set of services that include AWS CodeCommit, AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy. Together, these services help you securely store and maintain version control of your application’s source code and automatically build, test, and deploy your application to AWS or your on-premises environment. These services are designed to enable […]

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Database Continuous Integration and Automated Release Management Workflow with AWS and Datical DB

Just as a herd can move only as fast as its slowest member, companies must increase the speed of all parts of their release process, especially the database change process, which is often manual. One bad database change can bring down an app or compromise data security. We need to make database code deployment as […]

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Building End-to-End Continuous Delivery and Deployment Pipelines in AWS and TeamCity

By Balaji Iyer, Janisha Anand, and Frank Li Organizations that transform their applications to cloud-optimized architectures need a seamless, end-to-end continuous delivery and deployment workflow: from source code, to build, to deployment, to software delivery. Continuous delivery is a DevOps software development practice where code changes are automatically built, tested, and prepared for a release to production. The […]

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Automatically Deploy from GitHub Using AWS CodeDeploy

(Updated on 1/23/2015 to include additional information on partner access security.) AWS CodeDeploy is a new service that makes it easy to deploy application updates to Amazon EC2 instances. CodeDeploy is targeted at customers who manage their EC2 instances directly, instead of those who use an application management service like AWS Elastic Beanstalk or AWS […]

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Using New Relic to monitor applications on AWS OpsWorks

A good practice for maintaining highly available applications is to monitor the metrics that impact performance and service levels. AWS OpsWorks includes built-in integration with 14 Amazon CloudWatch metrics, including load, CPU and memory, but you may also want to monitor other metrics such as disk space utilization or application-level metrics such as error rates. […]

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