Self-Hosted Incident Management & Alerting Platforms: Dispatch vs Keep vs Sentry Compared

Introduction

When your production systems go down at 3 AM, the difference between a 5-minute recovery and a 5-hour outage often comes down to your incident management tooling. Modern incident management goes far beyond simple alert notifications — it encompasses alert deduplication, correlation, automated runbooks, stakeholder communication, and post-incident analysis.

The SaaS market is dominated by PagerDuty, Opsgenie, and VictorOps, but self-hosted alternatives have matured dramatically. In this guide, we compare three powerful open-source platforms: Netflix Dispatch, Keep, and Sentry (used as an incident management platform, not just error tracking).

Comparison at a Glance

Netflix Dispatch

Netflix Dispatch is an incident management platform born from Netflix’s own SRE practices. It orchestrates the entire incident lifecycle — from alert creation through resolution and postmortem — with a focus on automation and reduced cognitive load for responders.

Key Features

• Incident orchestration — automatically creates incident channels, roles, and documentation
• Resource assembly — pulls in the right people, tools, and information based on incident type
• Runbook automation — executes predefined response playbooks automatically
• Timeline tracking — records every action taken during an incident for postmortems
• 20+ integrations — Slack, Jira, GitHub, PagerDuty, Datadog, and more

Deployment

Dispatch uses a Helm chart for Kubernetes deployment:

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# dispatch-values.yaml
dispatch:
  image:
    repository: ghcr.io/netflix/dispatch
    tag: latest
  env:
    - name: DISPATCH_JWT_SECRET
      valueFrom:
        secretKeyRef:
          name: dispatch-secrets
          key: jwt-secret
    - name: DATABASE_HOSTNAME
      value: "postgresql.dispatch.svc.cluster.local"
  
  ingress:
    enabled: true
    host: dispatch.example.com

postgresql:
  auth:
    username: dispatch
    database: dispatch
    password: "${DB_PASSWORD}"

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helm repo add dispatch https://netflix.github.io/dispatch/
helm install dispatch dispatch/dispatch   --namespace dispatch --create-namespace   -f dispatch-values.yaml

Strengths: Dispatch’s incident orchestration is unmatched — it automates the manual tasks that slow down incident response, like creating Slack channels, assigning roles, and pulling in relevant documentation. The Netflix pedigree means it is battle-tested at massive scale.

Limitations: Dispatch is complex to set up and configure. It requires multiple external services (Slack, email, ticket system) to be fully functional. It lacks built-in on-call scheduling, requiring a separate tool like Opsgenie or Grafana OnCall.

Keep

Keep is a modern, open-source alert management and alert intelligence platform that has gained rapid adoption (11,939 stars). It focuses on alert consolidation, enrichment, and automated workflow execution — turning noisy alert storms into actionable incidents.

Key Features

• 100+ alert provider integrations — consolidates alerts from Prometheus, Datadog, Grafana, CloudWatch, and dozens more
• Alert deduplication and correlation — pattern-based grouping of related alerts into coherent incidents
• Workflow automation — visual workflow builder for automated remediation
• On-call scheduling — built-in rotation schedules and escalation policies
• automated incident summaries — automatic post-incident analysis

Docker Compose Deployment

Keep provides a production-ready Docker Compose stack:

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version: "3.8"
services:
  keep-frontend:
    image: ghcr.io/keephq/keep-frontend:latest
    ports:
      - "3000:3000"
    environment:
      NEXT_PUBLIC_API_URL: "https://keep.example.com"
    depends_on:
      - keep-backend

  keep-backend:
    image: ghcr.io/keephq/keep-backend:latest
    ports:
      - "8080:8080"
    environment:
      KEEP_API_URL: "https://keep.example.com"
      DATABASE_URL: "postgresql://keep:${DB_PASSWORD}@postgres:5432/keep"
      REDIS_URL: "redis://redis:6379"
      SECRET_KEY: "${SECRET_KEY}"
    depends_on:
      - postgres
      - redis

  postgres:
    image: postgres:15
    environment:
      POSTGRES_USER: keep
      POSTGRES_PASSWORD: "${DB_PASSWORD}"
      POSTGRES_DB: keep
    volumes:
      - ./postgres-data:/var/lib/postgresql/data

  redis:
    image: redis:7-alpine
    volumes:
      - ./redis-data:/data

Strengths: Keep’s breadth of integrations (100+ providers) makes it the most versatile option for consolidating alerts across heterogeneous environments. The pattern-based correlation significantly reduces alert fatigue. Built-in on-call scheduling eliminates the need for a separate tool.

Limitations: Keep is a younger project with a rapidly evolving codebase — expect breaking changes between versions. The advanced features require significant CPU resources for correlation and summarization tasks.

Sentry (Incident Management Mode)

Sentry is primarily known as an error tracking platform (44,120 stars), but its self-hosted deployment can function as a capable incident management system when configured appropriately.

Key Features for Incident Management

• Error grouping and fingerprinting — automatically groups related errors into incidents
• Release tracking — correlates incidents with specific deployments
• Custom alert rules — configurable alert conditions based on error volume, frequency, or impact
• Issue ownership — automatic assignment based on code ownership
• Integration ecosystem — Slack, Jira, GitHub, PagerDuty, and 50+ others

Self-Hosted Deployment

Sentry provides an official self-hosted Docker deployment:

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git clone https://github.com/getsentry/self-hosted.git
cd self-hosted
./install.sh
docker compose up -d

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# Custom configuration in sentry/config.yml
mail.backend: 'smtp'
mail.host: 'smtp.example.com'
mail.port: 587
mail.username: 'alerts@example.com'
mail.password: '${SMTP_PASSWORD}'
mail.use-tls: true

# Alert rules configuration
sentry.conf:
  alerts:
    error-rate:
      threshold: 50
      window: 300
    latency-p95:
      threshold: 2000
      window: 300

Strengths: Sentry’s error grouping and release tracking capabilities are best-in-class. If your primary incident source is application errors, Sentry provides the most detailed context for debugging — stack traces, local variables, breadcrumbs, and release diffs.

Limitations: Sentry was not designed as an incident management platform. It lacks automated runbooks, on-call scheduling, and stakeholder communication features that Dispatch and Keep provide. It works best when paired with a dedicated incident management tool.

Choosing the Right Platform

Netflix Dispatch is the best choice for mature SRE teams that want maximum automation. If you already have alerting and monitoring in place and need a tool to orchestrate incident response, Dispatch automates the manual overhead that slows down responders.

Keep suits teams that want an all-in-one solution — alert consolidation, incident management, on-call scheduling, and automated runbooks in a single platform. The pattern-based deduplication is particularly valuable for teams receiving thousands of alerts daily.

Sentry is ideal when application errors are the primary source of incidents. Teams already using Sentry for error tracking can extend it into incident management without deploying additional tools.

For related reading, see our SOAR incident response automation guide and our alert routing comparison guide.

Why Self-Host Your Incident Management?

Incident management tools process highly sensitive data — alert contents often include stack traces, environment variables, database queries, and sometimes customer data. A SaaS incident management platform becomes a high-value target for attackers, as it contains a consolidated view of your entire infrastructure’s failure modes.

Self-hosting keeps incident data within your network perimeter. This is especially important for regulated industries (healthcare, finance, government) where data sovereignty requirements may prohibit sending alert data to third-party services.

Availability is another critical factor. During a major incident, your incident management tool must be the most reliable service in your stack. A self-hosted platform running in your own infrastructure eliminates the risk of the SaaS provider experiencing an outage simultaneously with your own incident.

Deployment Architecture

For production deployments, a reverse proxy with TLS termination is essential:

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# Caddy reverse proxy for Keep
keep.example.com {
    reverse_proxy keep-frontend:3000
    tls {
        dns cloudflare {env.CF_API_TOKEN}
    }
}

api.keep.example.com {
    reverse_proxy keep-backend:8080
    tls {
        dns cloudflare {env.CF_API_TOKEN}
    }
}

Alert ingestion should be configured with redundancy:

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# Prometheus Alertmanager to Keep integration
route:
  receiver: "keep"
  routes:
    - match:
        severity: critical
      receiver: "keep-critical"
      continue: true

receivers:
  - name: "keep"
    webhook_configs:
      - url: "https://keep.example.com/api/alerts/event/prometheus"
        send_resolved: true
  - name: "keep-critical"
    webhook_configs:
      - url: "https://keep.example.com/api/alerts/event/prometheus?severity=critical"

FAQ

Do I need incident management if I have alerting?

Alerting tells you something is wrong. Incident management tells you what to do about it, who should do it, and tracks what was done. Alerting without incident management leads to alert fatigue and inconsistent response processes. They are complementary tools.

Can I use Dispatch without Kubernetes?

Dispatch is designed for Kubernetes deployment via Helm. While technically possible to run outside Kubernetes by extracting the Docker images and configuring them manually, this is not supported or documented. For non-Kubernetes environments, Keep or Sentry are better choices.

How does Keep’s ML correlation work?

Keep analyzes incoming alerts for patterns — similar timestamps, related services, common labels — and groups alerts that are likely related to the same root cause. This reduces alert noise by presenting one correlated incident instead of dozens of individual alerts.

What database resources do these tools require?

Dispatch needs a PostgreSQL instance (2GB RAM minimum for production). Keep requires PostgreSQL plus Redis (4GB RAM total for moderate workloads). Sentry self-hosted is the most resource-intensive, requiring PostgreSQL, Redis, ClickHouse, and Kafka-compatible message bus (8GB+ RAM minimum).

Can these tools replace PagerDuty completely?

For many teams, yes — Keep and Dispatch cover alert routing, on-call scheduling, escalation policies, and incident response. However, if you need carrier-grade phone call escalation, SMS fallback, or compliance certifications (SOC 2, HIPAA), the SaaS solutions still have an advantage in those specific areas.

How do I handle incident management during a total cluster outage?

Run your incident management platform on separate infrastructure from your production workload. A small VM outside your main Kubernetes cluster, running just Docker Compose with Keep or Dispatch, ensures that your incident management tools remain available even when your primary cluster is down.

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