Incident Severity Classifier
Classify incidents from P0 to P4 based on impact, blast radius, and business criticality. Get response SLAs, escalation paths, and recommended actions instantly.
Incident Impact
Classification Result
Severity Reference
Frequently Asked Questions
What is the difference between P0 and P1 incidents?▼
P0 (Critical) incidents represent complete service outages affecting all users or causing data loss/corruption — requiring immediate all-hands response within 15 minutes. P1 (High) incidents are major degradations affecting a significant portion of users or critical business functions, requiring response within 30 minutes. The key distinction is scope and reversibility: P0 impacts are immediate, widespread, and potentially irreversible.
How should blast radius factor into severity classification?▼
Blast radius measures how many services, teams, or customers are affected. A single microservice failure isolated to one team is low blast radius; a shared authentication service failure is extremely high. When blast radius is high, escalate the severity by at least one level regardless of other factors, because cascading failures can rapidly worsen the situation.
When is a workaround sufficient to lower incident severity?▼
A workaround can justify reducing severity by one level only if: it is documented, reproducible, doesn't require special access, and the customer experience degradation is minimal. If the workaround requires customers to change their behavior significantly or affects SLA-covered functionality, it should not reduce severity.
What should the escalation path look like for a P0 incident?▼
P0 escalation should follow: on-call engineer → on-call manager (within 5 min) → VP Engineering (within 15 min) → CTO/CEO for prolonged outages (>30 min). A dedicated incident commander should be assigned to coordinate communication, separate from the engineers actively debugging. War room / dedicated channel should be opened immediately.
How do you calculate revenue impact per hour for severity scoring?▼
Revenue impact per hour = (annual revenue / 8760 hours) × affected percentage. For customer-facing services, also include indirect costs: SLA penalties, customer churn risk, support ticket volume. For internal tools, use productivity loss: (average engineer hourly cost × engineers blocked). Document your baseline so you can make consistent severity decisions under pressure.
Related Products
on GumroadPremium Workflow Pack
Production-grade workflows, architecture guides, and deployment scripts for teams that ship. 10 advanced CI/CD workflows (blue-green, canary, E2E, security), 5 architecture deep-dives, code review checklist, PR process guide, and 5 battle-tested Bash deployment scripts.
Buy on Gumroad →GitHub Actions CI/CD Templates Pack
12 production-ready GitHub Actions workflow templates covering Node.js, Python, Docker, multi-environment deployments, security scanning, and auto-changelog. Copy, paste, ship.
Buy on Gumroad →Developer Productivity Bundle
Stop rebuilding the same setup every project. 51 VSCode snippets, 40 Git aliases, 5 Docker Compose stacks, 5 GitHub Actions workflows, 5 README templates, and a dotfiles kit. Set up a professional dev environment in under an hour.
Buy on Gumroad →You Might Also Need
Docker Compose Generator
Generate docker-compose.yml configurations visually in your browser. Add services, ports, volumes, environment variables, and networks. Export production-ready YAML instantly. Free Docker tool.
Open free tool →
Dockerfile Generator
Interactive wizard to generate production-ready Dockerfiles for Node.js, Python, Go, Java, and Rust. Multi-stage builds, port config, custom layers.
Open free tool →
CI/CD Pipeline Generator
Generate complete CI/CD pipeline YAML for GitHub Actions, GitLab CI, or CircleCI. Supports Node.js, Python, Docker, and Go projects with test, build, and deploy stages.
Open free tool →
More Free Tools
Related Articles
SLO, SLA, and SLI: Engineering Reliability the Right Way
Master SLOs, SLAs, and SLIs for production reliability engineering. Learn error budget calculation, burn rate alerting, and how to set meaningful reliability targets your team can actually hit.
SLO vs SLA vs SLI: Developer Guide to Reliability Engineering 2026
Understand the difference between SLI, SLO, and SLA in 2026. Learn how to set error budgets, define your first SLO, and use Prometheus, Grafana, and DataDog to track reliability.
Grafana vs Datadog vs New Relic vs Prometheus 2026: Observability Platform Comparison
In-depth comparison of the top observability and monitoring platforms for 2026. Metrics, logs, traces, pricing, alerting, dashboards, and APM — pick the right stack for your infrastructure.
Building Your Observability Stack in 2026: OpenTelemetry + Grafana vs Datadog vs New Relic
A practical guide to building a modern observability stack in 2026 — comparing OpenTelemetry + Grafana OSS, Datadog, and New Relic on cost, setup complexity, features, and real-world tradeoffs.
DevOps Career Guide 2026: Entry Points, Skills, and Roadmap for Engineers
Complete DevOps career guide for 2026. Covers entry points from software engineering and sysadmin, must-have skills, certifications worth getting, salary ranges, and a 12-month learning roadmap.
Enjoying this tool? Get more like it.
Weekly developer tool guides, productivity playbooks & AI tricks. Free. No spam.
Unlock AI-Powered Dev Tools
- ⚡ AI Code Review, Doc Generator & SQL Builder
- ⚡ All premium templates & early access
- ⚡ Member discounts on Gumroad products
$9/mo after trial · Cancel anytime
Want the full toolkit?
Get DevPlaybook Pro
Every template, guide, boilerplate, and automation script in one bundle. 13 premium products — grab them all at once and save big.
MIT licensed · Instant download · No subscription
See what's included → Browse all deals →