Evaluate Nginx vs. Custom Go Application for Grafana Query Caching

[rishabhkailey]

Objective:

Conduct a comprehensive evaluation to determine the optimal caching solution for Grafana queries, comparing Nginx and a custom Go application.

Assess key factors including:

• Performance: Benchmark response times, throughput, and cache hit rates.
• Resource Utilization: Measure memory consumption, CPU usage, and disk I/O.
• Complexity: Evaluate setup, configuration, and maintenance effort for each approach.
• Customizability: Assess the extent of control over caching strategies and integration capabilities.
• Distributed Caching: Evaluate the feasibility and complexity of implementing distributed caching with each option.

[rishabhkailey]

Sub Issues

• POC: Nginx proxy cache
• POC: Custom proxy cache

[rishabhkailey]

Pros and Cons of each approach

• Nginx
• Custom Application

Based on specific needs and priorities, such as minimizing maintenance overhead and ensuring long-term stability, Nginx emerged as the most favorable option for caching Grafana queries. While a custom application offered greater flexibility, Nginx's lower development effort, proven reliability, and maintenance overhead ultimately weighed heavier.