AWS CodePipeline: fully managed continuous delivery service that helps you automate your release pipelines for fast and reliable application and infrastructure updates. - Source: dev.to / 2 months ago
Therefore, I used AWS Codebuild and AWS CodePipeline to automate the steps of building and deploying the services. The diagram below depicts all the steps required to continuously deliver the frontend and backend applications:. - Source: dev.to / 2 months ago
A while ago I wrote how you can host your own single page application on S3. But how will you get your application on the S3 bucket? There are a couple of options here, you could upload it by hand? But we both know that is not the real solution here. No we want to automate this process! In this blog post I will show you how you can automate this using AWS CodePipeline. - Source: dev.to / 3 months ago
We treat these services in one group as they belong together from a strategic point of view. They have been around for a few years and the teams that built these are now involved in CodeCatalyst. CodeCatalyst partly uses them “under the hood”. CodeCommit is a managed git hosting, CodeBuild is a managed “build” system, CodeStar is a “project management” tool. CodePipeline allows combining multiple CodeBuild steps... - Source: dev.to / 3 months ago
If you're wanting to keep everything in AWS, you could look into CodePipeline, which provides a framework to manage various build steps, such as using CodeBuild. Source: 4 months ago
I am using AWS CodeCommit as a source repository. The reason for this choice is that it integrates with AWS CodePipeline. We also want the ability to test our infrastructure. So I usually use feature branches to do that. Here the first challange appears. We only need 1 repository and a pipeline to deploy our infrastructure. But we also need a pipeline that deploys our feature branch. In CloudFormation you can do... - Source: dev.to / 4 months ago
It's all internal tooling. I am sure it is built on top of https://aws.amazon.com/codepipeline/ though. Source: 6 months ago
Design for Operations You should implement your entire workload as code. The benefit is that you can apply the same engineering discipline that you use for application code to your infrastructure. Use version control system like AWS Codecommit to enable tracking of changes and releases, and use AWS Cloudformation for your infrastructure templates. It is recommendable to test and validate changes to help limit... - Source: dev.to / 8 months ago
AWS CodePipeline: fully managed continuous delivery service that helps you automate your release pipelines for fast and reliable application and infrastructure updates. - Source: dev.to / 8 months ago
Engineering at Prenetics focuses on delivering robust, secure and scalable capabilities to our digital products and services. We deploy our API as microservices onto K8s (AWS EKS) and have implemented an EFK stack for centralised logging, monitoring and alerting. We have implemented CI/CD pipelines using CodePipeline and have been practicing Continuous Delivery. - Source: dev.to / 9 months ago
CodePipeline automates the process of defining the parameters and building the model for your ideal deployment scenario via a beautiful graphical user interface. With no servers to provision and deploy, it allows you to get started immediately, offering continuous delivery by executing automated operations to complete the delivery cycle each time code is modified. Source: 12 months ago
Note: Solutions like AWS CodePipeline and Azure Pipeline are also examples of pipelines as code, and are easy to set up. However, they aren’t customizable because integration with non-AWS or non-Azure tools/libraries is difficult. They also make you completely dependent on the specific cloud provider. When you are setting up your first pipeline it might be wiser to keep your options open about how you’d like to... - Source: dev.to / about 1 year ago
Here we’re still using the same Todo list example the folks at the Serverless Framework created as our codebase. But with some variations so that it more cleanly supports automated testing and the CICD toolchain used — AWS CodePipeline. - Source: dev.to / about 1 year ago
Want container orchestration, with automatic scaling out and in, using load balanced solutions, but don’t want to maintain it? Amazon Elastic Container Service (Amazon ECS) on Fargate is perfect! Running on Fargate you have no servers to maintain or have to worry about provisioning capacity, AWS takes care of it all for you, including scaling, load balancing, and maintaining the control plane. It’s simple to... - Source: dev.to / about 1 year ago
Automation tools: Since DevOps is mainly about implementing repeatable processes that deliver value quickly and efficiently, automation tools are vital. You’ll need to know pipeline tools such as Azure DevOps, AWS CodeBuild, AWS CodePipeline, Google Cloud Build, and other open-source tools such as Jenkins. - Source: dev.to / over 1 year ago
AWS CodePipelineprovides the pipeline through which changes in your Laravel code are automatically pushed to production (from the repository on CodeCommit to Elastic Beanstalk). - Source: dev.to / over 1 year ago
CI/CD stands for continuous integration, continuous deployment and continuous delivery. It's a process that alienates manual processes of doing things. It is the art of automating the process of building, testing, deployment and delivery of apps to your customers. There are different tools used for CI/CD, they include Jenkins, GitHub Actions, GitLab CI, CircleCI, Travis CI, Bitbucket Pipelines, AWS CodeBuild, AWS... - Source: dev.to / over 1 year ago
The first step to automating fleet deployment is to integrate it with your CI/CD tool, for example GitHub Actions or AWS CodePipeline. - Source: dev.to / over 1 year ago
There are many ways to deploy an application to AWS. One might use AWS CloudFormation directly or a service like AWS CodePipeline. If AWS CloudFormation is not your cup of tea, you have services like AWS Elastic Beanstalk at your disposal. - Source: dev.to / over 1 year ago
The easiest way to manage stages on AWS is by using AWS CodePipeline. - Source: dev.to / over 1 year ago
Use the Code Commit. Switch over to the Native AWS CI/CD services like Code Pipeline, Code Build and Code Deploy. This should be a part of the POC and the migration checklist. Any application migration is marked complete only after the pipeline is setup in AWS. People often miss this step when the migrating to the cloud. Then they have to struggle with transporting the binaries built on the premise. Don't waste an... - Source: dev.to / almost 2 years ago
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