A CI/CD pipeline seems straightforward to implement and maintain. Yet it can often quickly become a tedious time sink and a source of universal frustration on many teams.
From flaky builds, to long running builds, to flaky long running builds, the sources of frustration are endless. With the goal to ship more and faster as well as to compete in an ever changing industry, we can (and must) do better.
Zan is a developer advocate at CircleCI, on a mission to educate and inspire developers on the topics of CI/CD, DevOps, and software quality.
Across his career he has worked in companies of various sizes, from enterprises to own startups, and everything in between, and across industries as diverse as retail, AI, and developer tools.
He’s passionate about serverless technologies, mobile development, and developer experience. Outside of work, he enthuses over airplanes, craft beer, and the Oxford comma.
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CI/CD pipelines have long played a major role in speeding up the development and deployment of cloud-native apps. Cloud services like AWS lend themselves to more agile deployment through the services they offer as well as approaches such as Infrastructure as Code. There is no shortage of tools to help you manage your CI/CD pipeline as well.
While the majority of development teams have streamlined their pipelines to take full advantage of cloud-native features, there is still so much that can be done to refine CI/CD even further. The entire pipeline can now be built as code and managed either via Git as a single source of truth or by using visual tools to help guide the process.
The entire process can be fully automated. Even better, it can be made serverless, which allows the CI/CD pipeline to operate with immense efficiency. Git branches can even be utilized as a base for multiple pipelines. Thanks to the three tools from Amazon; AWS CodeCommit, AWS CodeBuild, and AWS CodeDeploy, serverless CI/CD on the AWS cloud is now easy to set up.
#aws #aws codebuild #aws codecommit #aws codedeploy #cd #cd pipeline #ci #ci/cd processes #ci/cd workflow #serverless
The development of the product becomes a crucial part of any business model that is engaged in app development. This article has enough information about the CD/CI that will help you through the concept and processes of CD/CI in product development. Read More at : https://www.appsinvo.com/blog/what-is-ci-cd-in-product-development/
#advantages of cd & cici & cd #difference between cd & ci #why cd & ci are imperative?
As a DevOps professional, you need to evaluate these tools based on your budget, project requirements, and other data points. This is why we take a deep dive into Travis CI vs Jenkinscomparison to help you decide the right CI/CD tool for your project requirements.
If you are new to DevOps and are just learning the basics then I recommend you to read this detailed article on Continuous Integration And Continuous Delivery. Without further ado, let’s get started.
Jenkins is a popular open-source CI/CD tool that is in usage for a long time. The tool is written entirely in Java. Jenkins has a powerful set of features that can be used to build, test, and integrate changes in a project.
It is the go-to choice for startups as it is free to use, supports a wide range of plugins, and is backed by a vibrant community. Developers get the chance to set up a CI/CD environment in Jenkins. Jenkins is available for a wide range of platforms – Windows, macOS, and various flavors of Unix (i.e. Ubuntu, OpenSUSE, and more).
Another major of Jenkins is its extensibility with plugins. Like other open-source projects, Jenkins maintains two release lines – weekly and LTS (Long Term Support). At the time of this article, the latest version of Jenkins (LTS) was 2.235.1.
#devops #continous delivery #jenkins ci #ci cd #travis ci #continous deployment #jenkins architecture
GitHub has become one of the most widely used Source Code Repository. Its Distributed Version Control System helps the developers for faster development and Integration of their code. Recently, it launched GitHub Actions in beta which enabled developers to create automated workflows to build, test, and deploy their source code on GitHub.
In this article, we will discuss about GitHub Actions and how it can be used to build an automated software development life-cycle workflow.
Below are the things we will discuss in this article:
Using GitHub Actions, we can create custom workflows that will help to build, test, package, release or deploy the code without leaving the GitHub UI. It enables us to build Continuous integration and Continuous Deployment capabilities directly in our repository. Here are some important features about GitHub Actions.
**YAML based process: **The workflow is written in YAML. Hence it is easy to create, read and use the actions that make up the workflow.
**One Place for everything: **By using GitHub Actions, we can build and test the developed code directly in our repository. There is no need to worry about integrating the source code repository with other build and deployment tools. Everything can be done in one single place.
**Easy to integrate code: **Since enabling CI/CD directly in the repository is possible using workflows, creating merge requests(MRs), building, testing and integrating them become way more seamless.
#tech (re)view #build #cd #ci #ci-cd #github #github actions #gitlab-ci #gradle #java #test
In this article, we will build a 4 step CI/CD pipeline using AWS native tools. To understand conceptually about CI/CD pipeline highly recommend revisiting previous article Continuous Integration & Continuous Delivery — Myths, Pitfall and, Practical Approach.
#devops #programming #aws #ci/cd #approach #practical