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
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
DevOps is supposed to help streamline the process of taking code changes and getting them to production for users to enjoy. But what exactly does it mean for the process to be “streamlined”? One way to answer this is to start measuring metrics.
Metrics give us a way to make sure our quality stays the same over time because we have numbers and key identifiers to compare against. Without any metrics being measured, you don’t have a way to measure improvements or regressions. You just have to react to them as they come up.
When you know the indicators that show what condition your system is in, it lets you catch issues faster than if you don’t have a steady-state to compare to. This also helps when you get ready for system upgrades. You’ll be able to give more accurate estimates of the number of resources your systems use.
After you’ve recorded some key metrics for a while, you’ll start noticing places you could improve your application or ways you can reallocate resources to where they are needed more. Knowing the normal operating state of your system’s pipeline is crucial and it takes time to set up a monitoring tool.
The main thing is that you decide to watch some metrics to get an idea of what’s going on when you start the deploy process. In the beginning, it might seem hard to figure out what the best metrics for a pipeline are.
You can conduct chaos engineering experiments to test different conditions and learn more about which metrics are the most important to your system. You can look at things like, time from build to deploy, number of bugs that get caught in different phases of the pipeline, and build size.
Thinking about what you should measure can be one of the harder parts of the effectiveness of the metrics you choose. When you’re considering metrics, look at what the most important results of your pipeline are.
Do you need your app to get through the process as quickly as possible, regardless of errors? Can you figure out why that sporadic issue keeps stopping the deploy process? What’s blocking you from getting your changes to production with confidence?
That’s how you’re going to find those key metrics quickly. Running experiments and looking at common deploy problems will show you what’s important early on. This is one of the ways you can make sure that your metrics are relevant.
#devops #devops-principles #devops-tools #devops-challenges #devops-adoption-challenges #devops-adoption #continuous-deployment #continuous-integration
When it comes to DevOps, the word that clicks in mind is CI/CD pipeline. Let’s have a look at Definition of CI/CD pipeline:
CI is straightforward and stands for continuous integration, a practice that focuses on making preparing a release easier. But CD can either mean continuous delivery or continuous deployment and while those two practices have a lot in common, they also have a significant difference that can have critical consequences for a business.
CI stands for Continuous Integration, and CD stands for Continuous Delivery and Continuous Deployment. You can think of it as a process which is similar to a software development lifecycle.
Systems provide automation of the software build and validation process-driven continuously by running a configured sequence of operations every time a software change is checked into the source code management repository. These are closely associated with agile development practices and closely related to the emerging DevOps toolsets.
In the DevOps world, we have a plethora of toolsets that can help and leverage CICD capabilities.
This blog gives direction to up and running your CICD pipeline running on the Kubernetes cluster by the GitLab CICD pipeline.
#docker #kubernetes #ci/cd #devops tools #devops 2020 #ci/cd pipeline