This presentation addresses observability challenges for Python's critical infrastructure, which includes PyPI, documentation hosting, mailing lists, and bug tracking serving millions of developers daily.
Topics Covered
- Observability challenges at scale
- Balancing comprehensive monitoring against budget constraints
- Self-hosted solutions with Grafana and Loki
- Integration with commercial platforms like Datadog
- Building cost-conscious observability systems
Key Takeaways
- Principles for effective yet budget-friendly observability
- Practical patterns applicable across deployment scenarios
- Leveraging both self-hosted and commercial monitoring tools
- Real-world lessons from PSF infrastructure