Architecture

📖 1 min read 📄 Part 3 of 10

Distributed Tracing System - System Architecture

High-Level Architecture

🔧 Instrumented Applications Microservices with Tracing Libraries (OpenTelemetry) 📡 Tracing Agent (Sidecar/Library) ⚡ Trace Collector (Jaeger/OTLP) 📨 Kafka (Span Buffer) ⚙️ Processor 1 ⚙️ Processor 2 ⚙️ Processor 3 🗄️ Storage Layer Cassandra / Elasticsearch 📊 Query API & Jaeger UI
Distributed Tracing — Collection & Processing Pipeline

Core Components

Trace Collector

Responsibilities:
- Receive spans from agents
- Validate span data
- Apply sampling decisions
- Buffer and batch spans
- Forward to processing

Span Processor

Processing Pipeline:
1. Validation
2. Enrichment (add metadata)
3. Sampling decision
4. Aggregation
5. Storage write

Storage Layer

Options:
- Cassandra: High write throughput
- Elasticsearch: Rich query capabilities
- ClickHouse: Fast analytics

Chosen: Cassandra + Elasticsearch
- Cassandra for raw spans
- Elasticsearch for queries

This architecture provides scalable, low-latency distributed tracing.