System Design Course

System Design Course

Share this post

System Design Course
System Design Course
Day 91: Building Efficient Batch API Operations for Log Processing

Day 91: Building Efficient Batch API Operations for Log Processing

Module 4: Building a Complete Distributed Log Platform | Week 13: API and Service Layer

systemdr's avatar
systemdr
Aug 15, 2025
∙ Paid
3

Share this post

System Design Course
System Design Course
Day 91: Building Efficient Batch API Operations for Log Processing
2
Share

What We're Building Today

By the end of this lesson, you'll have implemented a production-grade batch processing system that handles thousands of log entries with a single API call. Here's what we're creating:

Core Components:

  • High-performance batch insert API processing 10,000 logs in under 2 seconds

  • Intelligent chunk management for parallel processing

  • Real-time monitoring dashboard with WebSocket updates

  • Comprehensive error handling with partial failure support

  • Performance metrics showing 100x improvement over individual operations

Technical Implementation:

  • FastAPI-based REST endpoints with Pydantic validation

  • Parallel chunk processing with configurable batch sizes

  • Transaction coordination ensuring data consistency

  • Connection pooling for optimal database performance

  • Docker deployment with multi-service orchestration


The Efficiency Crisis: Why Individual APIs Don't Scale

This post is for paid subscribers

Already a paid subscriber? Sign in
© 2025 System Design Course
Privacy ∙ Terms ∙ Collection notice
Start writingGet the app
Substack is the home for great culture

Share