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Whether you call it GitOps, Infrastructure-as-Code (IaC), or just using a CI/CD pipeline to automatically deploy changes to an application, I think we can all agree that moving to a model where your application and resource configuration is defined as code is beneficial to everyone involved. This code is usually saved in git, the most popular source version control system for cloud-native projects, and provides an automatic and verifiable change capture process, and simplifies application rollout. More importantly, it also prevents “snowflakes” where the configuration of a deployed application differs from the definition because of manual edits.
However, even with these powerful primitives available to developers and operators, the need for Backup and Disaster Recovery is as important as ever. The below post covers some of the core reasons why deploying a backup solution will be critical for safety and scale.
#kubernetes
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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
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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
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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?
1621942680
Whether you call it GitOps, Infrastructure-as-Code (IaC), or just using a CI/CD pipeline to automatically deploy changes to an application, I think we can all agree that moving to a model where your application and resource configuration is defined as code is beneficial to everyone involved. This code is usually saved in git, the most popular source version control system for cloud-native projects, and provides an automatic and verifiable change capture process, and simplifies application rollout. More importantly, it also prevents “snowflakes” where the configuration of a deployed application differs from the definition because of manual edits.
However, even with these powerful primitives available to developers and operators, the need for Backup and Disaster Recovery is as important as ever. The below post covers some of the core reasons why deploying a backup solution will be critical for safety and scale.
#kubernetes
1595578080
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