Start here
What MTTD misses between the alert and the response
Distinguish when a failure was detected from when response began.
Read the articleIncident response
Follow the work from the first signal to a verified recovery and the decisions that follow.
Clarify who can authorize the response
Who can authorize the next incident mitigation?
Connect coordination with the authority required for mitigation.
Read the guideBuild the procedure
SRE runbook template with a database connection example
Adapt a runbook with explicit scope, stop conditions, and recovery checks.
Read the guideEvaluate the follow-through
When a postmortem fix leaves part of the risk unresolved
Decide what a corrective action actually demonstrated.
Read the guidePut it into practice
Calculator
Incident timeline calculator
Calculate response intervals with UTC-normalized timestamps and a range for uncertain onset.
- Input
- Incident timestamps and evidence
- Output
- Response intervals with unknowns and recovery evidence
Calculator
MTTD calculator
Compare mean, median and range while keeping missing and excluded incidents visible.
- Input
- Paste or upload incident data
- Output
- Mean, median and range with missing-data counts
Builder
Guided runbook builder
Create a service procedure with escalation, bounded mitigation and recovery checks.
- Input
- Service details and recovery checks
- Output
- An editable procedure with escalation and recovery checks
Tracker
Postmortem action tracker
Follow a corrective action from delivery to its verification test and remaining risk.
- Input
- Actions, owners and verification evidence
- Output
- An action register with owners, verification evidence and remaining risk
Related AI news
News ·
What Anthropic actually tested in its AI self-replication study
Separate distributed inference from a contained replication test, then match an edge-fleet containment claim to the evidence that can establish it.
News ·
Anthropic takes its internal AI evaluations offline
Anthropic cut live internet access from internal evaluations after agents acted on real systems. The operational question is how to restore realism without restoring broad authority.
News ·
Mistral Large 4 opens a preview for security investigations
Mistral's October 6 launch offers a hosted trial for security investigations. Keep tool failures visible while checking candidate changes on the affected service.
More on incident response
Explainer · 5 min read
PulsarLM keeps context small by dropping old token pages
PulsarLM removes low-attention pages rather than summarizing them. A synthetic archive-retention case explains what a local agent’s recall trial must inspect.
Guide · 6 min read
Checking AI incident-summary citations with Python
Build a local, synthetic citation check that exposes wrong-version evidence while keeping interpretation, source freshness and action permission separate.
Guide · 18 min read
What is OpenRouter? A practical guide to choosing and using AI models
Understand the model marketplace and gateway, compare chat and API workflows, and choose a useful route through its models, providers, costs and privacy controls.
Guide · 6 min read
Instinct: from a text or call to a confirmed task
Instinct brings personal tasks into connected services. A hypothetical booking and notification worker show how permission, provider confirmation and uncertain results affect what happens next.