Gunjan  Khaitan

Gunjan Khaitan


CI/CD Full Course | CI/CD Tutorial | Continuous Integration And Continuous Delivery

This CI/CD full course will help you understand what is a continuous integration and continuous deployment in detail. We will look at what is DevOps, what is CI/CD pipeline, what is Jenkins, how to build a CI CD pipeline with Jenkins, and continuous delivery vs continuous deployment.

Continuous Integration (CI) and Continuous Delivery (CD) (What Is CI/CD?)
CI/CD can bring about a positive impact on a company’s bottom line. For this reason, it is increasingly becoming a mainstream agile practice, being widely adopted by organizations across the globe.

What is Continuous Integration?
Continuous Integration involves the process of constant code integration into codebase. The aim is to frequently make small integrations, as minor code changes can produce fewer unwanted results. All integrations are checked for errors via build automation, with no human intervention.

Continuous Integration heavily relies on diverse automation tools, including CI servers and code-management systems, to speed up the development, testing, and packaging of software products. It enables early detection and elimination of problems, which greatly mitigates integration issues. Constant code integration also fosters collaboration among teams, allowing developers to quickly deliver high-quality software.

What is Continuous Delivery?
Continuous Delivery (CD) is the methodology of deploying small and frequent software changes, such as bug fixes, UI enhancements, and feature improvements. Basically, Continuous Delivery starts where CI ends. In essence, CD includes staging, testing, and the deployment of Continuous Integration code. While CI falls under developer practices, CD belongs entirely to the realm of operations.

Similar to Continuous Integration, CD relies on automated regression, testing, and performance monitoring to identify errors and security vulnerabilities when software traverses the CD/CI pipeline. With both Continuous Integration and Continuous Delivery, fewer changes enable more precise and targeted tests, ensuring the speedy delivery of top-quality code to end-users.

#devops #docker #kubernetes

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CI/CD Full Course | CI/CD Tutorial | Continuous Integration And Continuous Delivery
Matt  Towne

Matt Towne


Serverless CI/CD on the AWS Cloud

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

Mikel  Okuneva

Mikel Okuneva


13 Jenkins Alternatives for Continuous Integration

In our previous article , we discussed the most common problems with Jenkins  that made us search for an alternative. That’s why in this article, we’re offering a list of the most common Jenkins alternatives for continuous integration.

#uncategorized #ci/cd #ci/cd pipeline #continuous integration #gitlab ci #jenkins #jenkins alternatives

Seamus  Quitzon

Seamus Quitzon


Java CI/CD: From Continuous Integration to Release Management

This post is part of a series that demonstrates a sample deployment pipeline with Jenkins, Docker, and Octopus:


In the previous blog post we used Octopus to build a Kubernetes cluster in AWS using EKS, and then deployed the Docker image created by Jenkins as a Kubernetes deployment and service.

However, we still don’t have a complete deployment pipeline solution, as Jenkins is not integrated with Octopus, leaving us to manually coordinate builds and deployments.

In this blog post, we’ll extend our Jenkins build to call Octopus and initiate a deployment when our Docker image has been pushed to Docker Hub. We will also create additional environments, and manage the release from a local development environment to the final production environment.

Install the Jenkins Plugins

Octopus provides a plugin for Jenkins that exposes integration steps in both freestyle projects and pipeline scripts. This plugin is installed by navigating to Manage Jenkins ➜ Manage Plugins. From here you can search for “Octopus” and install the plugin.

The Octopus plugin uses the Octopus CLI to integrate with the Octopus Server. We can install the CLI manually on the agent, but for this example, we’ll use the Custom Tools plugin to download the Octopus CLI and push it to the agent:

Install the custom tools pluginInstall the custom tools plugin.

Configure the Octopus Server and Tools

We add the Octopus Server, our pipeline will connect with, by navigating to **Manage Jenkins ➜ Configure System **:

Define the Octopus ServerDefine the Octopus Server.

#java #tutorial #integration #docker #jenkins #ci/cd #jenkins pipeline #octopus

Seamus  Quitzon

Seamus Quitzon


Java CI/CD: From Local Build to Jenkins Continuous Integration

This post is part of a series that demonstrates a sample deployment pipeline with Jenkins, Docker, and Octopus:


In the previous post, we took a typical Java application and created a Dockerfile that takes care of building the code and running the resulting JAR file. By leveraging the existing Docker images provided by tools like Maven and Java itself, we created a repeatable and self-contained build process, and the resulting Docker image can be executed by anyone with only Docker installed.

This is a solid foundation for our build process. However, as more developers start working on a shared codebase, testing requirements expand, and the resulting packages grow in size, teams require a central shared server to manage builds. This is the role of a Continuous Integration (CI) server.

There are many CI servers available. One of the most popular is Jenkins, which is a free and open-source. In this blog post, we’ll learn how to configure Jenkins to build and publish our Docker image.

Getting Started With Jenkins

The easiest way to get started with Jenkins is to use their Docker image. Just as we created a self-contained image for our own application in the previous blog post, the Jenkins Docker image provides us with the ability to launch Jenkins in a pre-configured and self-contained environment with just a few commands.

To start, we download the latest long term support (LTS) version of the Jenkins Docker image with the command:

docker pull jenkins/jenkins:lts

We then launch Jenkins with the command:

docker run -p 8081:8080 -p 50000:50000 -v 

jenkins_home:/var/jenkins_home jenkins/jenkins:lts

The -p argument binds a port from the local workstation to a port exposed by the image. Here we use the argument -p 8081:8080 to bind local port 8081 to the container port 8080. Note that because our own PetClinic application also listens to port 8080 by default, we’ve chosen the next available port of 8081 for Jenkins. It is entirely up to you which local port is mapped to the container port. The argument -p 50000:50000 exposes a port used by Jenkins agents, which we will configure to perform our build later in the post.

The -v argument mounts a Docker volume to a path in the container. While a Docker container can modify data while it runs, it is best to assume you will not be able to retain those changes. For example, each time you call docker run (which you may do to use an updated version of the Jenkins Docker image), a new container is created without any of the data that was modified by a previous container. Docker volumes allow us to retain modified data by exposing a persistent file system that can be shared between containers. In this example, we have created a volume called jenkins_home and mounted it to the directory /var/jenkins_home. This means that all of the Jenkins data is captured in a persistent volume.

#java #tutorial #integration #jenkins #ci/cd #dockerfile #docker image

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