PUQ Docker InfluxDB Deployment Automation

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.