Build a custom central logging system optimized for performance and cost, especially suitable for serverless environments where cold-start time and execution latency are critical.
✅ Goal:
Design a non-blocking, high-performance logging system that sends application logs asynchronously to Grafana Loki Cloud, without slowing down the main application logic.
💡 Feature Overview:
- Logs should be sent asynchronously through a lightweight buffered channel to a central logging handler via Go routines.
- The central handler forward logs via HTTP POST requests to Grafana Loki Cloud.
- Logging should be completely non-blocking — the main application must not wait for logging operations to complete.
- The system should minimize resource usage and ensure low-latency, cost-efficient log processing.
🧪 Performance Notes:
- Serverless functions have limited runtime (cold start) and ephemeral environments.
- This system must prioritize application throughput, not log delivery reliability.
- Logs can be buffered and optionally dropped if system is under pressure (tunable policy).
🛠️ Tech Stack:
- Logging target: Grafana Loki Cloud
- Environment: Optimized for AWS Lambda / GCP Cloud Functions / etc.
Build a custom central logging system optimized for performance and cost, especially suitable for serverless environments where cold-start time and execution latency are critical.
✅ Goal:
Design a non-blocking, high-performance logging system that sends application logs asynchronously to Grafana Loki Cloud, without slowing down the main application logic.
💡 Feature Overview:
🧪 Performance Notes:
🛠️ Tech Stack: