puq-docker-influxdb-deploy

Target Audience

- Web Developers: Those who need to deploy and manage InfluxDB instances for applications or services.
- DevOps Engineers: Professionals looking to automate the deployment process of Docker containers and manage server configurations.
- System Administrators: Individuals responsible for maintaining server health and performance, specifically with InfluxDB and Docker.
- API Developers: Developers who want to integrate InfluxDB with their applications through an API.
- Businesses: Companies utilizing WHMCS/WISECP that require a backend solution for data management and analytics.

Problem Solved

- Automated Deployment: This workflow automates the deployment of InfluxDB containers, reducing manual intervention and errors.
- Configuration Management: It simplifies the management of server configurations and ensures consistency across environments.
- Monitoring and Maintenance: The workflow provides mechanisms to monitor container status, log retrieval, and network statistics, ensuring that the services are running optimally.
- User Management: It allows for easy password changes and access control management for InfluxDB users, enhancing security.

Workflow Steps

1. Webhook Trigger: The workflow starts with a webhook that listens for incoming requests to the specified path (docker-influxdb).
2. Parameter Setup: Initial parameters such as server_domain, clients_dir, and mount_dir are set to define the environment for the InfluxDB instance.
3. Validation: The workflow checks whether the server_domain matches the incoming request, responding with an error if it does not.
4. Conditional Logic: Based on the command received (e.g., create, suspend, terminate), the workflow routes to the appropriate actions.
5. Container Actions: Depending on the command, it can start, stop, mount, or unmount Docker containers, handling each action with specific scripts.
6. Service Actions: It includes commands for testing connections, deploying new configurations, and managing user access for InfluxDB.
7. Logging and Monitoring: The workflow retrieves logs and statistics from the InfluxDB container, allowing for real-time monitoring of its performance.
8. Response Handling: Finally, the workflow sends a response back to the webhook with the results of the operations performed, ensuring users are informed of the status.

Customization Guide

- Modify Parameters: Update the Parametrs node to change the server_domain, clients_dir, and mount_dir according to your server setup.
- Adjust Commands: Change the commands in the API node to fit your specific use cases, allowing for additional actions or altered workflows.
- Customize Scripts: Edit the shell scripts in the various set nodes to include custom logic or additional checks that suit your deployment needs.
- Add New Features: Extend the workflow by adding new nodes for additional functionalities, such as integrating with other APIs or services.
- Error Handling: Enhance error handling by modifying the handle_error functions to log errors or send alerts based on your requirements.