In this project, you will create a complete pipeline to scan and deploy a microservices-based application using Node.js. Your challenge is to design, implement, and optimize a pipeline that incorporates industry best practices for continuous integration, continuous deployment, and security. Your mission is to:
- Set up a source control system for the Node.js microservices source code and the infrastructure configuration.
- Create a Pipeline to create, update, or delete the infrastructure for the staging and production environment.
- Create a continuous integration (CI) pipeline to build, test, and scan the source code.
- Create a continuous deployment (CD) pipeline to deploy the application to a staging and production environment.
- Ensure the security and reliability of the application throughout the pipeline stages.
- Create a Pipeline to `create`, `update`, or `delete` the infrastructure for the staging and production environment.
- Create a `continuous integration (CI)` pipeline to build, test, and scan the source code.
- Create a `continuous deployment (CD)` pipeline to deploy the application to a staging and production environment.
- Ensure the `security` and `reliability` of the application throughout the pipeline stages.
### Prerequisites
@ -48,15 +48,15 @@ Prepare for a roleplay question session where you will assume the role of a DevO
### Deploy GitLab and Runners for Pipeline Execution
You must deploy a GitLab instance using Ansible. This hands-on exercise will help you gain a deeper understanding of Ansible as a configuration management and automation tool while also giving you experience in deploying and configuring GitLab.
You must deploy a `GitLab` instance using `Ansible`. This hands-on exercise will help you gain a deeper understanding of `Ansible` as a configuration management and automation tool while also giving you experience in deploying and configuring `GitLab`.
1. Create an Ansible playbook to deploy and configure a GitLab instance. The playbook should automate the installation of GitLab and any required dependencies. It should also configure GitLab settings such as user authentication, project settings, and CI/CD settings.
1. Create an `Ansible` playbook to deploy and configure a `GitLab` instance. The playbook should automate the installation of `GitLab` and any required dependencies. It should also configure `GitLab` settings such as user authentication, project settings, and CI/CD settings.
2. Deploy a GitLab instance on a cloud platform (e.g., AWS, Azure, or Google Cloud) or in a local environment using the Ansible playbook. Ensure that the instance is accessible to all team members and is configured to support collaboration and code reviews.
2. Deploy a `GitLab` instance on a cloud platform (e.g., AWS, Azure, or Google Cloud) or in a local environment using the `Ansible` playbook. Ensure that the instance is accessible to all team members and is configured to support collaboration and code reviews.
3. Configure the GitLab instance to support CI/CD pipelines by setting up GitLab Runners and integrating them with your existing pipeline. Update your pipeline configuration to utilize GitLab CI/CD features and execute tasks on the deployed Runners.
3. Configure the `GitLab` instance to support `CI/CD pipelines` by setting up `GitLab` Runners and integrating them with your existing pipeline. Update your pipeline configuration to utilize `GitLab CI/CD` features and execute tasks on the deployed Runners.
4. Demonstrate the successful deployment and configuration of GitLab using Ansible.
> You will need to demonstrate the successful deployment and configuration of `GitLab` using `Ansible` in the audit.
### The pipelines
@ -86,20 +86,20 @@ The pipeline should include the following stages:
- `Plan`: Generate an execution plan that shows the changes to be made to your infrastructure, including the resources that will be created, updated, or deleted. This job provides a preview of the changes and enables you to review them before applying.
- `Apply to Stagging`: Apply the Terraform configuration to create, update, or delete the resources as specified in the execution plan. This job provisions and modifies the infrastructure in the staging environment.
- `Apply to Stagging`: Apply the Terraform configuration to `create`, `update`, or `delete` the resources as specified in the execution plan. This job provisions and modifies the infrastructure in the staging environment.
- `Approval`: Require manual approval to proceed with deployment to the `production environment`. This step should involve stakeholders and ensure the application is ready for production.
- `Apply to Production`: Apply the Terraform configuration to create, update, or delete the resources as specified in the execution plan. This job provisions and modifies the infrastructure in the production environment.
- `Apply to Production`: Apply the Terraform configuration to `create`, `update`, or `delete` the resources as specified in the execution plan. This job provisions and modifies the infrastructure in the production environment.
3. Design and implement a CI pipeline for each repository that will be triggered on every code push or pull request. The pipeline should include the following stages:
3. Design and implement a `CI pipeline` for each repository that will be triggered on every code push or pull request. The pipeline should include the following stages:
- `Build`: Compile and package the application.
- `Test`: Run unit and integration tests to ensure code quality and functionality.
- `Scan`: Analyze the source code and dependencies for security vulnerabilities and coding issues. Consider using tools such as `SonarQube`, `Snyk`, or `WhiteSource`.
- `Containerization`: Package the applications into Docker images using a Dockerfile, and push the images to a container registry (e.g., Docker Hub, Google Container Registry, or AWS ECR).
4. Design and implement a CD pipeline that will be triggered after the CI pipeline has been completed. The pipeline should include the following stages:
4. Design and implement a `CD pipeline` that will be triggered after the `CI pipeline` has been completed. The pipeline should include the following stages:
- `Deploy to Staging`: Deploy the application to a `staging environment` for further testing and validation.
- `Approval`: Require manual approval to proceed with deployment to the `production environment`. This step should involve stakeholders and ensure the application is ready for production.
@ -113,13 +113,13 @@ The pipeline should include the following stages:
Your pipelines and infrastructure should adhere to the following cybersecurity guidelines:
- Restrict triggers to protected branches: Prevent unauthorized users from deploying or tampering by triggering pipelines only on protected branches, controlling access, and minimizing risk.
- `Restrict triggers to protected branches`: Prevent unauthorized users from deploying or tampering by triggering pipelines only on protected branches, controlling access, and minimizing risk.
- Separate credentials from code: Avoid storing credentials in application code or infrastructure files. Use secure methods like secret management tools or environment variables to prevent exposure or unauthorized access.
- `Separate credentials from code`: Avoid storing credentials in application code or infrastructure files. Use secure methods like secret management tools or environment variables to prevent exposure or unauthorized access.
- Apply the least privilege principle: Limit user and service access to the minimum required, reducing potential damage in case of breaches or compromised credentials.
- `Apply the least privilege principle`: Limit user and service access to the minimum required, reducing potential damage in case of breaches or compromised credentials.
- Update dependencies and tools regularly: Minimize security vulnerabilities by keeping dependencies and pipeline tools updated. Automate updates and monitor for security advisories and patches.
- `Update dependencies and tools regularly`: Minimize security vulnerabilities by keeping dependencies and pipeline tools updated. Automate updates and monitor for security advisories and patches.
@ -62,15 +62,13 @@ During the roleplay, ask them the following questions:
##### Review the Infrastructure Pipeline:
###### Does the student deploy the `cloud-design` project infrastructure for two environments (staging, prod) on a cloud platform (e.g., AWS, Azure, or Google Cloud) using `Terraform`?
###### Does the student deploy the infrastructure of the `cloud-design` project and the source code of `crud-master` project for two environments (staging, prod) on a cloud platform (e.g., AWS, Azure, or Google Cloud) using `Terraform`?
###### Do the two environments are similar in design, resources, and services used?
###### Are the two environments similar in design, resources and services used?
###### Does the student's infrastructure configuration exist in an independent repository with a configured pipeline?
###### Are the Init, Validate, Plan, Apply to Staging, Approval, and Apply to production environment stages implemented correctly in the infrastructure pipeline?
###### Are the Init, Validate, Plan, Apply to Staging, Approval, and Apply to stagging environment stages implemented correctly in the infrastructure pipeline?
###### Are the "Init", "Validate", "Plan", "Apply to Staging", "Approval", and "Apply to production environment" stages implemented correctly in the infrastructure pipeline?
##### Review the CI Pipeline:
@ -87,7 +85,7 @@ During the roleplay, ask them the following questions:
- `Approval`: Require manual approval to proceed with deployment to the `production environment`. This step should involve stakeholders and ensure the application is ready for production.
- `Deploy to Production`: Deploy the application to the `production environment`, ensuring zero downtime and a smooth rollout.
###### Are the Deploy to Staging, Approval, and Deploy to Production stages implemented correctly in the CD pipeline for each repository?
###### Are the "Deploy to Staging", "Approval", and "Deploy to Production" stages implemented correctly in the CD pipeline for each repository?
##### Review the functionality of pipelines:
@ -113,12 +111,12 @@ During the roleplay, ask them the following questions:
##### Review the Documentation:
###### Does the `README.md file contain all the necessary information about the solution (prerequisites, setup, configuration, usage, ...)?
###### Does the `README.md` file contain all the necessary information about the solution (prerequisites, setup, configuration, usage, ...)?
###### Is the documentation provided by the student clear and complete, including well-structured diagrams and thorough descriptions?
#### Bonus
###### +Did the student add any optional bonus?
###### +Did the student implemented any feature or anything that you would consider a bonus?
Zouhair AMAZZAL
1 year ago
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