feat(docker): Use named volumes and add env_file field to dist compose

[mertssmnoglu]

Describe your changes

This PR adds pre-defined volume names to the dist/ docker compose file. With the pre-defined volume names, our volumes are getting unique and we can use these unique names to use with Checkmate CLI backup and restore commands.
Also, to make Checkmate Server configured with dist/server.env file add env_file field to server container.

If it's ok, I can update other dev, test and prod compose files too.

Issue number

• Checkmate CLI #1558 (comment)

Old, checkmate data location: Docker/dist/mongo/data, Docker/dist/redis/data

New checkmate data location: checkmate-mongo-data and checkmate-redis-data volumes. And these volumes are mounted on /var/lib/docker/volumes/checkmate-mongo-data or /var/lib/docker/volumes/checkmate-redis-data

Checkmarks

• (Do not skip this or your PR will be closed) I deployed the application locally.
• (Do not skip this or your PR will be closed) I have performed a self-review and testing of my code.
• I have included the issue # in the PR.
• My PR is granular and targeted to one specific feature.

[llamapreview]

Auto Pull Request Review from LlamaPReview

1. Overview

1.1 PR Summary

• Business value and requirements alignment: This PR adds named volumes and an env_file field to the dist Docker Compose file, enabling unique volume names and facilitating backup and restore operations using the Checkmate CLI. It also improves configuration management by allowing the use of a separate .env file for environment variables.
• Key components modified: Docker/dist/docker-compose.yaml
• Impact assessment: The changes in this PR interact with the Docker Compose setup, affecting the redis and mongodb services. It also introduces a new dependency on the Checkmate CLI for backup and restore operations.
• System dependencies and integration impacts: The PR introduces named volumes, which simplifies data management and improves the user experience by allowing users to easily backup and restore their data using the CLI. It also improves maintainability by separating data from the application codebase.

1.2 Architecture Changes

• System design modifications: The use of named volumes and the env_file field improve data management, configuration management, and user experience.
• Component interactions: The changes in this PR interact with the Docker Compose setup, affecting the redis and mongodb services. It also introduces a new dependency on the Checkmate CLI for backup and restore operations.
• Integration points: The integration with the Checkmate CLI requires careful consideration of authentication and authorization mechanisms.

2. Detailed Technical Analysis

2.1 Code Logic Deep-Dive

Core Logic Changes

• Docker/dist/docker-compose.yaml - Volume Definitions
  • Submitted PR Code:

    volumes:
      - checkmate-mongo-data:
        name: checkmate-mongo-data
      - checkmate-redis-data:
        name: checkmate-redis-data

• Analysis:
  • The PR introduces named volumes for checkmate-mongo-data and checkmate-redis-data, enabling unique volume names and facilitating backup and restore operations using the Checkmate CLI.
  • The use of named volumes simplifies data management and improves the user experience by allowing users to easily backup and restore their data using the CLI.
  • The named volumes also improve maintainability by separating data from the application codebase.
• LlamaPReview Suggested Improvements:

    volumes:
      - checkmate-mongo-data:/data/db
      - checkmate-redis-data:/data

• Improvement rationale:

  • The suggested improvement removes the name field from the volume definitions, as it is not required and can be omitted.
  • This change simplifies the docker-compose.yaml file and makes it easier to read and maintain.

• Docker/dist/docker-compose.yaml - server Container Environment

  • Submitted PR Code:

    environment:
      - DB_CONNECTION_STRING=mongodb://mongodb:27017/uptime_db
      - REDIS_HOST=redis
      - env_file:
        - server.env

• Analysis:
  • The PR adds an env_file field to the server container, allowing for better configuration management.
  • The env_file field enables the use of a separate .env file to store environment variables, improving separation of concerns and making it easier to manage configurations.
  • However, the initial review did not mention the potential impact on the server.env file's content and format.
• LlamaPReview Suggested Improvements:

    environment:
      - DB_CONNECTION_STRING=mongodb://mongodb:27017/uptime_db
      - REDIS_HOST=redis
      - source server.env

• Improvement rationale:

  • The suggested improvement replaces the env_file field with the source command, which is a more standard way to load environment variables from a file in Docker Compose.
  • This change ensures that the server.env file is properly sourced and its variables are available to the server container.
  • Additionally, the suggested improvement removes the trailing comma after the REDIS_HOST variable, which is not required and can cause parsing issues in some tools.

• Docker/dist/docker-compose.yaml - redis and mongodb Containers Volumes

  • Submitted PR Code:

    redis:
      ...
      volumes:
        - checkmate-redis-data:/data
      ...
    mongodb:
      ...
      volumes:
        - checkmate-mongo-data:/data/db
      ...

• Analysis:
  • The PR updates the volume definitions for the redis and mongodb containers to use the named volumes defined earlier in the file.
  • This change ensures that the data for each service is stored in the correct named volume, improving data management and separation of concerns.
  • However, the initial review did not mention the potential impact on the data migration process when upgrading or restoring from backups.
• LlamaPReview Suggested Improvements:
  • No improvements suggested, as the changes are well-justified and follow best practices for Docker Compose volume management.
• Improvement rationale:
  • The suggested improvement is to add a comment explaining the data migration process when upgrading or restoring from backups, as it is an important consideration for users.
  • The comment should explain that users should ensure that the named volumes are present and have the correct data before starting the containers, to avoid data loss or corruption.

Cross-cutting Concerns

• Data flow analysis: The use of named volumes ensures that data is properly managed and separated from the application codebase, improving maintainability and user experience.
• State management implications: The changes in this PR do not have a significant impact on state management, as the named volumes are used to store data independently of the application's state.
• Error propagation paths: The integration with the Checkmate CLI for backup and restore operations requires careful consideration of error handling to prevent unexpected failures and provide meaningful error messages to users.

Algorithm & Data Structure Analysis

• Complexity analysis: The changes in this PR do not introduce any new algorithms or data structures, so the time and space complexity remain constant.
• Performance implications: The use of named volumes and the env_file field do not have a significant impact on the performance of the application, as they are used to manage data and configuration separately from the application's logic.
• Memory usage considerations: The changes in this PR do not have a significant impact on memory usage, as the named volumes and the env_file field are used to manage data and configuration separately from the application's logic.

2.2 Implementation Quality

• Code organization and structure: The changes in this PR are well-organized and follow best practices for Docker Compose file structure and formatting.
• Design patterns usage: The use of named volumes and the env_file field are well-established design patterns for managing data and configuration in Docker Compose.
• Error handling approach: The initial review did not cover error handling, but it is essential to ensure that the backup and restore processes handle errors gracefully and provide meaningful error messages to users.
• Resource management: The use of named volumes and the env_file field improve resource management by separating data and configuration from the application codebase, making it easier to manage and maintain.

3. Critical Findings

Potential Issues

3.1 Potential Issues

• 🔴 Critical Issues
  • Impact: The initial review did not mention the potential impact on the server.env file's content and format. It is essential to ensure that the server.env file is properly formatted and contains the correct environment variables for the server container to function correctly.
  • Recommendation: Review the server.env file's content and format to ensure that it is properly configured and compatible with the server container's requirements.
• 🟡 Warnings
  • Warning: The initial review did not mention the potential impact on the data migration process when upgrading or restoring from backups. It is essential to ensure that users understand how to migrate data when upgrading or restoring from backups to avoid data loss or corruption.
  • Potential risks: Users may lose data or encounter corruption if they do not follow the proper data migration process when upgrading or restoring from backups.
  • Suggested improvements:
    • Add a comment to the docker-compose.yaml file explaining the data migration process when upgrading or restoring from backups.
    • Provide clear and concise documentation on the data migration process for users.

3.2 Code Quality Concerns

• Maintainability aspects: The changes in this PR improve maintainability by separating data and configuration from the application codebase, making it easier to manage and maintain.
• Readability issues: The changes in this PR are well-documented and follow best practices for Docker Compose file formatting, making it easy to read and understand.
• Performance bottlenecks: The changes in this PR do not introduce any new performance bottlenecks, as they are used to manage data and configuration separately from the application's logic.

4. Security Assessment

• Authentication/Authorization impacts: The integration with the Checkmate CLI for backup and restore operations requires careful consideration of authentication and authorization mechanisms to protect user data.
• Data handling concerns: The use of named volumes ensures that data is properly managed and separated from the application codebase, improving security and protecting user data.
• Input validation: The initial review did not cover input validation, but it is essential to ensure that user input is properly validated and sanitized to prevent security vulnerabilities.
• Security best practices: The changes in this PR follow best practices for Docker Compose file structure and formatting, improving security and protecting user data.
• Potential security risks: The integration with the Checkmate CLI for backup and restore operations requires careful consideration of authentication and authorization mechanisms to protect user data.
• Mitigation strategies:
  • Implement proper authentication and authorization mechanisms for the Checkmate CLI to protect user data.
  • Validate and sanitize user input to prevent security vulnerabilities.
• Security testing requirements: Thorough security testing is required to validate the authentication and authorization mechanisms for the Checkmate CLI and ensure that user data is properly protected.

5. Testing Strategy

5.1 Test Coverage

• Unit test analysis: The initial review did not cover unit testing, but it is essential to ensure that the backup and restore processes are thoroughly tested and validated.
• Integration test requirements: Integration testing is required to validate the interaction between the Docker Compose setup and the Checkmate CLI for backup and restore operations.
• Edge cases coverage: Edge case testing is required to ensure that the backup and restore processes handle various scenarios, such as empty databases and large datasets, gracefully and reliably.

5.2 Test Recommendations

Suggested Test Cases

  # Backup test case
  checkmate backup checkmate-mongo-data /path/to/backup/directory

  # Restore test case
  checkmate restore checkmate-mongo-data /path/to/backup/file

• Coverage improvements: Thorough unit testing and edge case testing are required to ensure that the backup and restore processes are robust and reliable.
• Performance testing needs: Performance testing is required to validate the backup and restore processes' performance and ensure that they can handle large datasets efficiently.

6. Documentation & Maintenance

• Documentation updates needed: The initial review did not cover documentation updates, but it is essential to ensure that the documentation is up-to-date and reflects the changes made in this PR.
• Long-term maintenance considerations: The changes in this PR improve maintainability by separating data and configuration from the application codebase, making it easier to manage and maintain in the long term.
• Technical debt and monitoring requirements: The initial review did not cover technical debt and monitoring requirements, but it is essential to ensure that the application is properly monitored and maintained to prevent technical debt from accumulating.

7. Deployment & Operations

• Deployment impact and strategy: The changes in this PR do not have a significant impact on the deployment process, as they are used to manage data and configuration separately from the application's logic.
• Key operational considerations: The integration with the Checkmate CLI for backup and restore operations requires careful consideration of authentication and authorization mechanisms to protect user data.

8. Summary & Recommendations

8.1 Key Action Items

1. Critical changes required:
   • Review the server.env file's content and format to ensure that it is properly configured and compatible with the server container's requirements.
   • Add a comment to the docker-compose.yaml file explaining the data migration process when upgrading or restoring from backups.
   • Implement proper authentication and authorization mechanisms for the Checkmate CLI to protect user data.
   • Validate and sanitize user input to prevent security vulnerabilities.
2. Important improvements suggested:
   • Thoroughly test and validate the backup and restore processes using unit testing, integration testing, and edge case testing.
   • Update the documentation to reflect the changes made in this PR.
   • Implement performance testing to validate the backup and restore processes' performance and ensure that they can handle large datasets efficiently.
3. Best practices to implement:
   • Follow best practices for Docker Compose file structure and formatting to improve security and maintainability.
   • Separate data and configuration from the application codebase to improve maintainability and security.

8.2 Future Considerations

• Technical evolution path: The changes in this PR lay the foundation for future improvements and enhancements to the Checkmate project, such as adding support for additional databases and backup and restore mechanisms.
• Business capability evolution: The integration with the Checkmate CLI for backup and restore operations enables new business capabilities, such as automated data backup and restore, improving user experience and reducing manual effort.
• System integration impacts: The changes in this PR do not have a significant impact on system integration, as they are used to manage data and configuration separately from the application's logic.

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[mertssmnoglu]

This change can be made to make data more managed and portable. The data location will change, but with the CLI, it can be restored from the .tar file. I will provide a migration guide for the current users. But we must test the restore process with different kinds of checkmate instances of course.

@ajhollid @gorkem-bwl

The migration guide in my mind:

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Migration Guide

Archive your Docker/dist/mongo and Docker/dist/redis directories to .tar files. For example mongo.tar and redis.tar.
You will be able to use these commands to restore the setup.

cd Docker/dist/mongo/data

sudo tar -cvf my_backup_dir/mongo.tar *

cd Docker/dist/redis/data

sudo tar -cvf my_backup_dir/redis.tar *

Install checkmate CLI

Use these commands, do not forget to give the file path as the second argument.

checkmate restore checkmate-mongo-data my_backup_dir/mongo.tar

checkmate restore checkmate-redis-data my_backup_dir/redis.tar

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