Slalom

Performance Engineering · 2018 · 1 min read

Built a bottleneck analysis tool for visualizing data flows and dependencies in large-scale systems

Overview

Bottleneck analysis tool for visualizing request flows through distributed systems and identifying performance limiting factors

Problem

Identifying which service or component is the bottleneck in a distributed request flow required manual analysis of traces and metrics

Constraints

  • Must work with distributed trace data
  • Must identify bottlenecks automatically
  • Must handle complex request patterns

Approach

Built a tool that analyzes distributed traces, calculates critical paths, and visualizes bottlenecks in request flows

Key Decisions

Use critical path analysis

Reasoning:

The critical path determines overall latency; focusing on it identifies the most impactful optimizations

Tech Stack

  • Java
  • Python
  • D3.js

Result & Impact

Reduced time to identify performance bottlenecks from hours to minutes

Learnings

  • Critical path analysis focuses optimization efforts
  • Visualization of request flows aids debugging

Features

Slalom provides:

  • Request flow visualization
  • Critical path analysis
  • Automatic bottleneck identification
  • Latency breakdown by component
  • Optimization recommendations