Faster Python Services

Optimize your Python development workflow. Learn the tools and services you can use to run more efficient and highly available Python sites and applications.

Introduction

• Welcome
• What you should know

1. Tools of the Trade

• Always profile first
• General tips
• strace
• Stressing

2. Caching

• Overview
• Bloom filter

3. Cheating

• When approximation is good enough
• Cheating example

4. Distributing Work

• Amdahl's Law
• Example: Threads
• Beyond single machine

5. Writing Servers

• The C10K problem
• asyncio
• Choosing transportation
• Choosing serialization format
• Compression

6. Server Frameworks

• How to choose a framework
• HTTP servers
• TCP servers
• Load balancers
• Serving static content

7. Process

• Why do we need process?
• Monitoring
• Alerting

Conclusion

• Next steps