This project contains the necessary configuration to deploy a Go application in a Kubernetes cluster using ArgoCD and Helm. The project follows a monorepo structure to simplify the deployment process, allowing for centralized management of all related components, including the application code, Helm charts, and infrastructure configuration.
The project is organized as a monorepo, which means that all related code, configuration files, and scripts are stored in a single repository. This approach was chosen to simplify the development and deployment process, particularly for this test scenario where simplicity and clarity are key requirements.
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├── README.md # Root project documentation
├── argo-cd # ArgoCD configuration directory
│ └── applications # Directory for ArgoCD Application manifests
│ ├── README.md # Documentation for ArgoCD applications
│ └── go-app.yaml # ArgoCD Application manifest for the Go app
└── helm-charts # Directory for Helm charts
├── app # Helm chart for the Go application
│ ├── Chart.yaml # Metadata for the Go app Helm chart
│ ├── README.md # Documentation for the Go app Helm chart
│ ├── templates # Directory for Kubernetes resource templates
│ │ ├── _helpers.tpl # Helper template functions
│ │ ├── deployment.yaml # Deployment resource template
│ │ ├── hpa.yaml # Horizontal Pod Autoscaler (HPA) resource template
│ │ └── service.yaml # Service resource template
│ └── values.yaml # Default configuration values for the Go app
└── argo-cd # Helm chart for ArgoCD configuration
├── Chart.yaml # Metadata for the ArgoCD Helm chart
├── README.md # Documentation for the ArgoCD Helm chart
├── helmfile.yaml # Helmfile for managing ArgoCD installation
└── values.yaml # Default configuration values for ArgoCD
- Simplicity: By keeping all related files in one place, the complexity of managing multiple repositories is avoided, making the setup easier to understand and use.
- Consistency: Changes to the application, infrastructure, or deployment configuration can be synchronized and tested together, reducing the risk of inconsistencies.
- Single Source of Truth: All components related to the deployment are centralized, providing a clear view of the entire deployment pipeline.
While the monorepo approach has several advantages, there are also trade-offs to consider:
- Ease of Use: All necessary components are in one place, reducing the need to navigate between different repositories.
- Coordinated Changes: Updates to the application, infrastructure, and CI/CD pipeline can be managed together, reducing the chance of mismatches or missed updates.
- Simplified Versioning: A single version control history ensures that all changes are tracked together, simplifying the process of rolling back or auditing changes.
- Scalability: As the project grows, the monorepo can become harder to manage, especially if the number of services, microservices, or infrastructure components increases significantly.
- Longer CI/CD Pipelines: Changes to any part of the monorepo may trigger the CI/CD pipeline, even if the change is unrelated to certain components. This can lead to longer build times.
- Potential for Merge Conflicts: With multiple developers working in the same repository, the likelihood of merge conflicts can increase, particularly if many files are being modified simultaneously.
As the project evolves, there are several enhancements that could be considered:
- Sub-repos or Git Submodules: As the project grows, consider splitting the monorepo into smaller, more manageable sub-repositories or using Git submodules to maintain modularity while still benefiting from a monorepo-like structure.
- Selective Builds: Implement logic in the CI/CD pipeline to trigger builds only for the parts of the project that have been modified. This can reduce build times and resource consumption.
- Pipeline Parallelization: Parallelize different stages of the CI/CD pipeline to speed up deployments, particularly when handling multiple services or components.
- Infrastructure as Code (IaC): As the infrastructure grows, consider introducing more advanced IaC tools (e.g., Terraform, Pulumi) to manage infrastructure changes in a more scalable and repeatable manner.
- Environment-Specific Configurations: Introduce environment-specific Helm values files (e.g., for staging, production) to allow for more granular control over how the application is deployed in different environments.
- Integrate Monitoring: Add monitoring tools (e.g., Prometheus, Grafana) to keep track of application performance and resource usage.
- Set Up Alerts: Configure alerting mechanisms to notify the team of any issues or anomalies in the application or infrastructure.
This project includes documentation files to help you understand and work with the different components. Below is a list of the key documentation files available within the project, organized by directory.