GlitchTip vs Exceptionless vs Sentry: Best Self-Hosted Error Tracking 2026

When your production application throws an unhandled exception, you need to know immediately — not when a customer complains. Self-hosted error tracking gives you full control over your error data, eliminates per-event billing surprises, and keeps sensitive stack traces inside your infrastructure.

In this guide, we compare three self-hosted error tracking platforms: GlitchTip (the lightweight Sentry-compatible alternative), Exceptionless (real-time error and event tracking for .NET and beyond), and Sentry Self-Hosted (the industry-standard platform).

Why Self-Host Error Tracking?

Cloud error tracking SaaS services charge per event, per seat, or both. A single traffic spike can blow through your monthly quota in hours. Self-hosting solves these problems:

• No event caps — capture every error without worrying about overage fees
• Data sovereignty — stack traces, user data, and IP addresses never leave your servers
• Custom retention — keep error data for as long as your compliance requirements demand
• No vendor lock-in — GlitchTip and Sentry share the same SDK protocol, making migration trivial
• Cost predictability — your infrastructure cost is fixed regardless of error volume

For teams running high-traffic applications or handling sensitive data (healthcare, finance, government), self-hosted error tracking is often the only viable option.

GlitchTip — Lightweight Sentry-Compatible Error Tracking

GlitchTip is an open-source, drop-in replacement for Sentry’s error tracking API. If you already use the Sentry SDK, switching to GlitchTip requires only changing the DSN endpoint URL.

Project stats (as of April 2026):

• Backend repo: gitlab.com/glitchtip/glitchtip-backend — 340 stars, last updated April 23, 2026
• Meta repo: gitlab.com/glitchtip/glitchtip — 153 stars, deployment templates included
• Stack: Python (Django) backend, Vue.js frontend, PostgreSQL database
• License: MIT

GlitchTip’s philosophy is simple: implement the core Sentry features that matter most (error tracking, release tracking, user feedback) and skip the bloat. The result is a platform that runs comfortably on a single $10/month VPS.

GlitchTip Docker Compose Setup

GlitchTip provides a straightforward Docker Compose configuration using PostgreSQL for persistence and Redis for background task processing:

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version: "3.8"

services:
  postgres:
    image: postgres:16-alpine
    environment:
      POSTGRES_HOST_AUTH_METHOD: trust
    volumes:
      - pgdata:/var/lib/postgresql/data
    ports:
      - "5432:5432"

  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"

  glitchtip:
    image: glitchtip/glitchtip:latest
    ports:
      - "8000:8000"
    environment:
      DATABASE_URL: postgresql://postgres@postgres:5432/postgres
      REDIS_URL: redis://redis:6379/0
      SECRET_KEY: "change-me-to-a-random-string"
      GLITCHTIP_DOMAIN: "http://localhost:8000"
      DEFAULT_FROM_EMAIL: "admin@example.com"
      EMAIL_URL: "consolemail://"
      CELERY_WORKER_AUTOSCALE: "2,4"
      CELERY_WORKER_MAX_TASKS_PER_CHILD: "10000"
    depends_on:
      - postgres
      - redis

  worker:
    image: glitchtip/glitchtip:latest
    command: ./bin/run-celery-with-beat.sh
    environment:
      DATABASE_URL: postgresql://postgres@postgres:5432/postgres
      REDIS_URL: redis://redis:6379/0
      SECRET_KEY: "change-me-to-a-random-string"
      GLITCHTIP_DOMAIN: "http://localhost:8000"
      DEFAULT_FROM_EMAIL: "admin@example.com"
      EMAIL_URL: "consolemail://"
      CELERY_WORKER_AUTOSCALE: "2,4"
      CELERY_WORKER_MAX_TASKS_PER_CHILD: "10000"
    depends_on:
      - postgres
      - redis

volumes:
  pgdata:
    driver: local

Key points about this setup:

• The glitchtip service handles the web UI and API
• The worker service processes background Celery tasks (email alerts, data aggregation)
• PostgreSQL stores all event data; Redis handles the task queue
• EMAIL_URL: "consolemail://" prints emails to stdout for testing — replace with your SMTP URL in production

Installing GlitchTip on Linux

For non-Docker deployments, GlitchTip can be installed directly:

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# Install dependencies
apt update && apt install -y python3 python3-pip python3-venv postgresql redis-server

# Set up PostgreSQL
sudo -u postgres psql -c "CREATE DATABASE glitchtip;"

# Create and activate virtual environment
python3 -m venv /opt/glitchtip/venv
source /opt/glitchtip/venv/bin/activate

# Install GlitchTip
pip install glitchtip

# Configure environment variables
export DATABASE_URL="postgresql://postgres@localhost:5432/glitchtip"
export SECRET_KEY="$(openssl rand -base64 32)"
export GLITCHTIP_DOMAIN="http://your-server-ip:8000"

# Run migrations and create superuser
glitchtip migrate
glitchtip create-user --email admin@example.com --password securepass

# Start the server
glitchtip runserver 0.0.0.0:8000 &
glitchtip celery worker --autoscale=2,4 &

Exceptionless — Real-Time Error and Event Tracking

Exceptionless is a full-featured error and event tracking platform built on .NET 8 (C#). It goes beyond error tracking to include feature usage analytics, APM-style performance monitoring, and real-time event dashboards.

Project stats (as of April 2026):

• GitHub repo: exceptionless/Exceptionless — 2,453 stars, last updated April 23, 2026
• Stack: C# (.NET 8) backend, Elasticsearch for storage, Redis for caching, React frontend
• License: Apache 2.0 (community edition), commercial licenses available for enterprise features
• Primary language: C#

Exceptionless stands out for its event-centric design. Every error, feature usage, log message, and custom event flows through the same pipeline, giving you a unified view of application behavior. The Elasticsearch backend makes searching through millions of events fast.

Exceptionless Docker Compose Setup

Exceptionless requires Elasticsearch for its data store. Here’s the official Docker Compose configuration:

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services:
  elasticsearch:
    image: exceptionless/elasticsearch:8.19.14
    environment:
      node.name: elasticsearch
      cluster.name: exceptionless
      discovery.type: single-node
      xpack.security.enabled: "false"
      action.destructive_requires_name: false
      ES_JAVA_OPTS: -Xms1g -Xmx1g
    ports:
      - "9200:9200"
    volumes:
      - esdata:/usr/share/elasticsearch/data

  redis:
    image: redis:8.6-alpine
    ports:
      - "6379:6379"

  exceptionless:
    image: exceptionless/exceptionless:latest
    ports:
      - "5000:80"
    environment:
      EX_BaseURL: "http://localhost:5000"
      EX_ConnectionStrings__Cache: "redis://redis:6379"
      EX_ConnectionStrings__Elasticsearch: "http://elasticsearch:9200"
      EX_RunJobsInProcess: "true"
    depends_on:
      - elasticsearch
      - redis

volumes:
  esdata:
    driver: local

Important resource notes:

• Elasticsearch alone needs at least 2GB RAM (set via ES_JAVA_OPTS)
• The full stack (Elasticsearch + Exceptionless + Redis) requires ~4GB RAM minimum
• For production, set xpack.security.enabled: "true" and configure authentication

Integrating Exceptionless SDK

ASP.NET Core:

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// Program.cs
using Exceptionless;

var builder = WebApplication.CreateBuilder(args);

builder.Services.AddExceptionless(options =>
{
    options.ApiKey = "YOUR_API_KEY";
    options.ServerUrl = "http://your-exceptionless-server:5000";
});

var app = builder.Build();
app.UseExceptionless();
app.Run();

JavaScript/Browser:

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import { ExceptionlessClient } from 'exceptionless';

const client = new ExceptionlessClient();
client.config.apiKey = 'YOUR_API_KEY';
client.config.serverUrl = 'http://your-exceptionless-server:5000';
client.submit();

// Capture an error
try {
    riskyOperation();
} catch (error) {
    client.createError(error).submit();
}

Python:

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pip install exceptionless

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import exceptionless

exceptionless.ExceptionlessClient.default.config.api_key = 'YOUR_API_KEY'
exceptionless.ExceptionlessClient.default.config.server_url = 'http://your-exceptionless-server:5000'
exceptionless.ExceptionlessClient.default.start()

# Capture an error
try:
    risky_operation()
except Exception as e:
    exceptionless.ExceptionlessClient.default.create_error(e).submit()

Sentry Self-Hosted — The Industry Standard

Sentry is the most widely adopted error tracking platform. The self-hosted version packages the full Sentry feature set for on-premises deployment.

Project stats (as of April 2026):

• GitHub repo: getsentry/self-hosted — 9,307 stars, last updated April 23, 2026
• Stack: Python (Django) backend, PostgreSQL, Kafka, Redis, ClickHouse, Snuba, Relay
• License: MIT (self-hosted components), with additional licenses for specific components
• Recommended hardware: 4 CPU cores, 16GB RAM, 50GB storage minimum

Sentry self-hosted is the most feature-complete option but also the most resource-intensive. It includes:

• Error tracking with full stack traces, source map support, and release tracking
• Performance monitoring with distributed tracing and transaction-level metrics
• Session Replay — record user sessions for debugging frontend issues
• Issue alerts via email, Slack, PagerDuty, webhooks, and more
• SDKs for 40+ languages and frameworks
• User feedback widgets — collect context directly from affected users

Sentry Self-Hosted Installation

Sentry provides an installation script that handles the complex Docker Compose setup:

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# Clone the self-hosted repository
git clone https://github.com/getsentry/self-hosted.git
cd self-hosted

# Run the installation script
# This installs dependencies, builds images, and runs migrations
./install.sh

# After installation, start the services
docker compose up -d

# Access Sentry at http://localhost:9000
# Create your first user at http://localhost:9000/auth/register

The install.sh script handles the complexity of setting up Kafka, PostgreSQL, Redis, ClickHouse, and the Sentry application stack. Expect the installation to take 10-20 minutes depending on your network speed.

Sentry Docker Compose Architecture

Under the hood, Sentry self-hosted runs approximately 15 services:

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# Key services in Sentry's docker-compose.yml (simplified)
services:
  sentry-web:       # Django application (frontend + API)
  sentry-cron:      # Scheduled task runner
  sentry-ingest:    # Event ingestion pipeline
  sentry-post-process:  # Event post-processing
  relay:            # Edge proxy for event ingestion
  snuba-web:        # ClickHouse query engine
  snuba-api:        # Snuba API service
  kafka:            # Event streaming (Kafka)
  postgres:         # Primary database
  redis:            # Cache + task queue
  clickhouse:       # Columnar store for events
  symbolicator:     # Native symbolication (C/C++, Rust)

This architecture enables Sentry to process millions of events per hour, but it means you need significant resources to run it comfortably.

Feature Comparison

SDK and Language Support

Choosing an error tracking platform also means evaluating SDK coverage for your tech stack:

GlitchTip SDK Compatibility

Since GlitchTip implements the Sentry protocol, any official Sentry SDK works out of the box:

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# Python — works with GlitchTip by changing the DSN
import sentry_sdk
sentry_sdk.init(
    dsn="https://key@your-glitchtip-server.com/1",
    traces_sample_rate=1.0,
)

This covers Python, JavaScript, React, Vue, Angular, Go, Ruby, PHP, Java, Rust, C/C++, .NET, and more.

Exceptionless SDK Coverage

Exceptionless provides native SDKs for:

• .NET (Core, Framework, MAUI, Blazor)
• JavaScript/TypeScript (browser + Node.js)
• Python
• PowerShell
• React Native

For platforms without native SDKs, Exceptionless offers a REST API you can call directly.

Sentry SDK Coverage

Sentry has the broadest SDK ecosystem with official support for over 40 languages and frameworks, plus community-maintained SDKs for additional platforms. If your language isn’t listed, the Sentry Relay protocol provides a specification for building custom SDKs.

Which Should You Choose?

Choose GlitchTip if:

• You already use Sentry SDKs and want a lightweight, self-hosted drop-in replacement
• Your infrastructure is constrained (single VPS, limited RAM)
• You need core error tracking without the complexity of a 15-service deployment
• You prefer MIT-licensed software with no enterprise feature gating

Choose Exceptionless if:

• Your stack is primarily .NET/C# — the native SDK integration is excellent
• You want unified error tracking + event analytics + APM in one platform
• You’re comfortable running Elasticsearch and have 4GB+ RAM available
• You need real-time event dashboards for feature usage monitoring

Choose Sentry Self-Hosted if:

• You need the most feature-complete error tracking platform available
• Session Replay and advanced performance monitoring are requirements
• You have the infrastructure resources (16GB+ RAM, multi-core CPU)
• Your team relies on the breadth of Sentry’s integration ecosystem
• You need enterprise-grade alert routing and issue ownership features

For related reading, see our Signoz vs Jaeger vs Uptrace APM guide, OpenTelemetry observability comparison, bug tracker comparison, and log analysis tools guide.

FAQ

Can I use Sentry SDKs with GlitchTip?

Yes. GlitchTip implements the Sentry error tracking protocol, so any official Sentry SDK works as a drop-in replacement. Simply change your DSN to point to your GlitchTip server instead of Sentry’s cloud service. This makes migration from Sentry to GlitchTip a zero-code-change operation.

How much RAM does each error tracking platform need?

GlitchTip is the lightest, running comfortably on 512MB of RAM with PostgreSQL and Redis. Exceptionless needs at least 4GB because Elasticsearch requires a minimum of 1-2GB alone. Sentry self-hosted requires 16GB minimum due to its multi-service architecture (Kafka, ClickHouse, PostgreSQL, Redis, and application services).

Does Exceptionless support languages other than .NET?

Yes. Exceptionless provides native SDKs for JavaScript/TypeScript, Python, and PowerShell in addition to its flagship .NET SDK. For any other language, you can use the REST API directly — the documentation includes examples for HTTP-based event submission.

Can I migrate error data between these platforms?

GlitchTip supports importing Sentry data through its management command interface. Exceptionless provides data export in JSON format that can be reimported. Sentry self-hosted data can be exported via its API but importing into another platform requires custom scripting. For new deployments, plan your data retention strategy upfront.

Which platform has the best alerting integrations?

Sentry self-hosted has the broadest integration ecosystem with 40+ built-in integrations including Slack, Microsoft Teams, PagerDuty, Jira, GitHub, and Discord. GlitchTip supports email, webhooks, and Slack. Exceptionless offers email, webhooks, Slack, and Zapier. If you need deep integrations with ticketing systems or on-call platforms, Sentry has the advantage.

Is GlitchTip production-ready?

GlitchTip is used in production by organizations including Red Hat (which uses it for OpenShift error tracking). It is stable for core error tracking use cases. However, it lacks some advanced Sentry features like Session Replay and the full performance monitoring suite. For standard error tracking, release management, and user feedback, it is well-tested and reliable.