performance 20
- Integrating Large Language Models into Backend Applications: Patterns, Performance, and Production Considerations
- gRPC in Production: From Protocol Buffers to Load Balancing and Observability
- Building Production-Ready GraphQL APIs: Architecture, Performance, and Best Practices
- C# Advanced Async/Await Patterns and Best Practices
- Docker Multi-Stage Builds and Optimization Strategies
- Database Connection Pool Tuning for High-Load Services
- C# Memory Management and Garbage Collection Deep Dive
- C# LINQ Performance Optimization Techniques
- Caching Patterns: Write-Through, Write-Back, and Cache-Aside
- Indexing Deep Dive: Real Performance Impact in SQL Server
- Read Replicas: Real Use Cases and Implementation Patterns
- Autoscaling Pitfalls in Real Systems
- Designing for High Throughput vs Low Latency
- Debugging Production Memory Leaks
- Capacity Planning in Modern Systems
- Query Optimization Techniques for High-Throughput Databases
- Data Consistency vs Performance Tradeoffs in Distributed Databases
- Pipeline Optimization (Reduce Build Time 60%+)
- Why Rust?
- What is Performance Testing and Why it is Important?