CI CD (Continuous Integration/Continuous Delivery) tools are software solutions that automate the process of building, testing, and deploying applications. These tools enable developers to implement CI/CD pipelines, which are workflows that automate the steps involved in delivering software updates from code changes to production environments. CI CD tools typically include the following components:

Version Control System (VCS): A system for managing and tracking changes to code repositories. Popular VCS systems include Git, Subversion (SVN), and Mercurial.

Build Automation: Tools for automating the process of compiling source code into executable binaries or deployable artifacts. Examples include Apache Maven, Gradle, and MSBuild.

Continuous Integration (CI): CI tools automatically build and test code changes whenever new code is committed to the version control system. This ensures that changes are quickly validated and integrated into the codebase. Examples of CI tools include Jenkins, CircleCI, Travis CI, and GitLab CI/CD.

Continuous Deployment (CD): CD tools automate the process of deploying applications to various environments, such as development, staging, and production. CD tools often include capabilities for deploying containerized applications, managing infrastructure as code, and orchestrating deployment pipelines. Examples include Docker, Kubernetes, Terraform, and AWS CodeDeploy.

Automated Testing: CI/CD tools often include features for automating various types of tests, including unit tests, integration tests, and end-to-end tests. These tests help ensure the quality and reliability of software releases before they are deployed to production environments.

Monitoring and Logging: CI/CD tools may integrate with monitoring and logging solutions to provide visibility into the performance, availability, and health of applications deployed in production environments. Examples include Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), and New Relic.

Overall, CI/CD tools enable organizations to automate and streamline the software development lifecycle, from code changes to production deployments, resulting in faster delivery of high-quality software and improved collaboration among development teams.

Following. Can you please give a practical walk-through approach for a simple Todo application or anything practical? I'm a beginner-intermediate in coding (Self-learning Nodejs, Mongodb, Docker, Github), and I do some of the above-outlined stuff that I can not say this is what am doing. Thanks.