incident-commander

Automate incident management by running the incident classifier script on a JSON description file to triage events based on impact and urgency. This structured approach handles severity classification and requires Python with the spacy library for analysis.

Reconstruct an incident timeline by processing scattered logs and events through the timeline reconstruction feature. This transforms fragmented data into a coherent incident narrative, providing a clear chronological view of the outage for SRE and DevOps teams.

Generate a post-incident review document by feeding incident data into the PIR generation component. This creates comprehensive PIR documents that leverage multiple root cause analysis frameworks to ensure thorough documentation and analysis of the event.

Yes, you need Python installed along with the json, requests, and spacy dependencies. These libraries are required to execute the automated severity classification, log analysis, and post-incident review generation scripts.

Yes, you can use this framework for large-scale IT operations and DevOps. It is explicitly designed for large-scale incident response, managing everything from detection to resolution and handling communication templates for stakeholder updates.

Create actionable runbooks by utilizing the runbook integration feature, which generates procedural documents from identified incident patterns. This allows teams to standardize responses and streamline future resolution efforts based on historical data.