Backend Performance
Profile and optimise backends — caching, connection pooling, and query tuning.
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After this skill you can…
- Implement Redis caching for hot data
- Use connection pooling correctly
- Profile a slow API endpoint and fix bottlenecks
Prerequisites
Watch (10 videos)
Past, Present, and Future: Logical Decoding and Replication in PostgreSQL | POSETTE 2026
→ Optimize database performance→ Implement efficient replication strategies→ Troubleshoot database issues
Webhooks & Callbacks For Beginners in Python
→ Optimize backend performance with async programming→ Handle HTTP requests efficiently
Scale International Payouts with Global Payments API | J.P. Morgan
→ Optimize backend performance for payment processing→ Ensure scalability for international payments
Converting T-SQL code to PL/pgSQL with confidence
→ Optimize database performance→ Refactor code for better performance→ Use CTEs for efficient queries
Maintaining Large Tables in PostgreSQL | POSETTE: An Event for Postgres 2026
→ Optimize database performance→ Scale large tables→ Improve query efficiency
Linux and PostgreSQL in the Multiverse of Connections | POSETTE: An Event for Postgres 2026
→ Optimize PostgreSQL connections→ Improve database performance→ Manage system resources effectively
Giving My Go Program a Mouth and Ears (Pure Go Voice Control)
→ Optimize backend performance for voice control
Journey of developing a performance optimization feature in PGSQL | POSETTE 2026
→ Optimize PostgreSQL database performance→ Diagnose performance issues→ Develop performance optimization features
How Postgres Quietly Became the #1 Database on Earth
→ Optimize Postgres for high-performance backend systems→ Ensure scalability of Postgres databases
AI Security: Preventing Data Leaks in RAG 🔓
→ Optimize backend systems for secure data retrieval→ Ensure secure data storage and retrieval
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