THE PROBLEM
SRE TEAMS
Close the loop on reliability.
Connect the alert to the response, the response to the review, and the review to owned follow-up work.
A PRACTICAL START
Track incident ownership and SLA outcomes, review MTTA and MTTR, and create a postmortem with action items assigned to owners.
PRODUCT SURFACES
Assemble only what the workflow needs.
Incident command
Keep ownership, responders, timeline, notes and action items together from first alert to resolution.
Analytics
Use incident and service performance data to understand response times, trends and SLA outcomes.
Postmortems
Turn resolved incidents into reviews with a timeline, contributing factors and owned follow-up work.
IMPLEMENTATION CONTEXT
Turn the use case into an operating model.
The product workflow is only useful when deployment, integrations, access controls and validation are planned together.
How to run it
Choose the smallest topology that still meets the reliability target for the incident platform itself; split runtime only where failure isolation or independent worker scaling is justified.
What to connect first
Start with the monitoring systems that already define service health, then connect Slack or Teams for response collaboration and Jira when follow-up work belongs in the issue tracker.
What to decide up front
Use scoped roles, audit evidence, and enterprise identity where required. Keep incident and postmortem data within the deployment boundary your team operates.
What to prove before production
Exercise one real service journey and verify MTTA/MTTR evidence, timeline completeness, postmortem creation, and owned action items after recovery.
IMPLEMENTATION PATH
Validate the whole journey before production.
Start with the deployment model, connect the required providers, configure identity and routing, then exercise a synthetic incident from signal to responder action and recovery.
Your incidents should belong to you.
Run OpsKnight on infrastructure you control.
v2.0.0 · AGPL-3.0-only · Self-hosted · 28 inbound integrations