CICD Pipeline

What is CI/CD in DevOps?

A software development methodology known as CI/CD (Continuous Integration/Continuous Deployment) automates the steps of integrating code changes, testing them, and deploying them to production environments in a quick and consistent manner.

By enabling frequent code integration, automated testing, and seamless deployment, it aims to speed up and improve the reliability of software releases.

What does Pipeline in Continuous Delivery refer to?

In Continuous Delivery, a pipeline refers to a series of stages or steps through which software changes pass, beginning with the source code and ending with a deployed and tested application.

To ensure a smooth and consistent delivery of changes to production environments, it is an automated workflow that incorporates various processes, such as building, testing, and deploying software.

The pipeline enables developers to automate and keep an eye on the entire software delivery process, resulting in quicker feedback, fewer mistakes, and shorter release cycles.

What is DevOps vs Cicd pipeline?

Difference is here DevOps vs Pipeline

What is meant by pipeline in CI CD?

In the ever-changing world of software development, new methods and practises are constantly being created to improve efficiency, collaboration, and the speed at which high-quality applications can be delivered.

DevOps and the CI / CD pipeline are two such ideas that have received a lot of attention. Even though these terms are often used interchangeably, it is important to know what makes them different and how they fit into the software development and delivery process.

What is CI CD pipeline techniques?

1. Continuous Integration (CI): It involves frequently integrating code changes from multiple developers into a shared repository. This is achieved by using version control systems like Git. With CI, developers push their changes to the repository, triggering an automated build process.
2. Automated Builds: Once changes are pushed to the repository, an automated build process is triggered. This process compiles the code, resolves dependencies, and creates executable artifacts or packages.
3. Automated Testing: Automated tests are an essential part of the CI/CD pipeline. Different types of tests, such as unit tests, integration tests, and end-to-end tests, are executed automatically to validate the functionality and quality of the software.
4. Continuous Deployment (CD): After the automated tests pass successfully, the software is automatically deployed to various environments, such as development, staging, or production. CD ensures that the software is always ready for deployment.
5. Environment Management: CI/CD pipelines typically involve multiple environments, each serving a different purpose (e.g., development, staging, production). Environment management ensures consistent and controlled deployments across these environments.
6. Deployment Orchestration: CD pipelines may involve complex deployments that require multiple steps or involve multiple systems. Deployment orchestration tools are used to automate and manage these deployment processes efficiently.
7. Monitoring and Feedback: Continuous monitoring of the deployed applications is crucial. It helps detect issues, gather feedback, and provide insights into the application’s performance and user experience. Monitoring tools are used to track metrics and generate alerts when anomalies occur.

What is CD pipeline in Jenkins?

In Jenkins, a CD (Continuous Deployment) pipeline refers to the automated process of deploying software applications to various environments, such as development, staging, and production, using the Jenkins automation server. Jenkins is a popular open-source tool that supports building, testing, and deploying software projects.

What is difference between Docker and CI CD?

Find the answer here difference between Docker and CI CD

Which tools are used for CI CD?

1. Jenkins
2. GitLab CI/CD
3. CircleCI
4. Travis CI
5. Bamboo
6. TeamCity
7. Azure DevOps
8. GitHub Actions
9. Bitbucket Pipelines
10. AWS CodePipeline

What are the two pipelines in Jenkins?

1. Scripted Pipeline: The scripted pipeline is the traditional way of creating Jenkins pipelines. It uses Groovy scripting language to define the pipeline stages and steps. Scripted pipelines offer flexibility and allow developers to have more control over the pipeline flow and logic.
2. Declarative Pipeline: The declarative pipeline is a newer approach introduced in Jenkins that provides a more structured and opinionated way of defining pipelines. It uses a simplified syntax and aims to make the pipeline code easier to read and understand. Declarative pipelines focus on the declarative nature of defining the desired end-state of the pipeline rather than the step-by-step execution details. They provide a set of predefined directives and stages that can be used to describe the pipeline flow.

What are the 3 types of pipelines in Jenkins?

1. Scripted Pipeline
2. Declarative Pipeline
3. Multibranch Pipeline

What is the full form of DevOps?

Is Azure a CI CD tool?

Azure is not a CI/CD tool itself, but Microsoft Azure provides a cloud platform that offers various services and tools that can be used for CI/CD.

Which language is best for CI CD pipeline?

1. Groovy: Groovy is often used with Jenkins for defining CI/CD pipelines, especially in scripted pipelines.
2. YAML: YAML (Yet Another Markup Language) is a human-readable data serialization language. It is widely used for configuring CI/CD pipelines in various tools and platforms, including GitLab CI/CD, Azure Pipelines, and GitHub Actions.
3. Shell scripting languages: Shell scripting languages, such as Bash, are commonly used for writing pipeline scripts that execute commands, run tests, and perform other tasks within the pipeline.
4. Python: Python is a versatile and widely adopted programming language. It can be used for writing custom scripts and tools that integrate with CI/CD pipelines or perform specific tasks within the pipeline.
5. JavaScript/Node.js: JavaScript and Node.js are popular for web development, and they can be used to write pipeline scripts, build tools, and test frameworks that integrate seamlessly with CI/CD pipelines.