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GlitchTip vs Sentry: Choosing the Right Self-Hosted Error Tracking Platform

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Glitchtip Vs Sentry

GlitchTip and Sentry represent two ends of the self-hosted error tracking spectrum. While GlitchTip runs on as little as 256 MB of RAM, Sentry self-hosted requires a minimum of 16 GB and 40+ containers to operate its distributed data pipeline.

Why This Matters

The technical reality of self-hosting error tracking involves a trade-off between resource efficiency and feature depth. GlitchTip operates as a simple Django application using 4 containers, making it viable for small VPS instances costing $5/month. Conversely, Sentry’s architecture—incorporating Kafka, ClickHouse, and Snuba—mirrors its cloud-scale infrastructure, offering advanced features like session replay and distributed tracing at the cost of significant operational overhead and hardware requirements that exceed the needs of many small-to-medium teams.

Key Insights

  • GlitchTip 6 (2026) introduced improved stacktraces and performance while maintaining a 512MB recommended RAM footprint.
  • Sentry self-hosted version 26.1.0 (2025) utilizes a complex stack including Kafka and ClickHouse, requiring a 1,000+ line Docker Compose file.
  • SDK Interoperability allows developers to use standard Sentry SDKs with GlitchTip by simply updating the Data Source Name (DSN).
  • License divergence: GlitchTip uses the MIT license, whereas Sentry uses BSL 1.1 which converts to Apache 2.0 after 36 months.

Working Examples

Minimal GlitchTip Docker Compose configuration

services:
  postgres:
    image: postgres:16.8
    environment:
      POSTGRES_DB: glitchtip
      POSTGRES_USER: glitchtip
      POSTGRES_PASSWORD: glitchtip_db_password
  redis:
    image: redis:7.4.7
  web:
    image: glitchtip/glitchtip:v6.0.10
    depends_on:
      - postgres
      - redis
    ports:
      - "8000:8000"
    environment:
      DATABASE_URL: postgres://glitchtip:glitchtip_db_password@postgres:5432/glitchtip
      VALKEY_URL: redis://redis:6379/0

Python Sentry SDK initialization for GlitchTip

import sentry_sdk
sentry_sdk.init(
    dsn="https://[email protected]/1",
    traces_sample_rate=0.1,
)

Practical Applications

  • Small to Medium Teams: Use GlitchTip for core error tracking and stack traces to minimize server costs and maintenance. Pitfall: Attempting to use GlitchTip for session replay or deep distributed tracing results in silent event drops.
  • Large Engineering Organizations: Deploy Sentry self-hosted on dedicated hardware (32GB+ RAM) to leverage full performance monitoring and session replays. Pitfall: Manually managing the 40+ container stack without the official install script leads to configuration drift and failed updates.

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