Optimization Overview

⚡️ Tags: 📍Performance 📍Overview

Best practices for code

• Use efficient data structures & algorithms
• Avoid unnessessary code execution
• Use caching to improve perf
• Optimize database query
• Use profiling tools to identify perf bottlenecks

FE Performance

Web Optimization

Web Perf Metrics

FE Cheatsheet

• Compression
• Selective Rendering
• Loading sequence
• Pritority-based loading
• Pre-fetching
• Code splitting
• Tree shaking
• Dynamic imports

API Performance

API Latency factors

Reducing latency methods

• DB Indexing
  • Create the right indexes
  • Optimize & refactor slow running queries
• Caching
  • Store frequently accessed data in a cache
  • Minimize costly db lookups
• Load balancing
  • Distribute requests evenly between servers
  • Use the right LB type & the appropriate algorithm
• CDN
  • Cache static content near the end-users
  • Reduce geographic distance to reduce latency
• Async processing
  • Dont block the request flow for running tasks
  • Execute such task in the background
• Data compression
  • Compress data before sending over network
  • use libs like gZip or zLib

Latency numbers

Database scaling

Cloud Cost

Hidden costs

Techniques