What is RunLLM?
RunLLM automates incident investigations by querying observability tools, correlating telemetry, and delivering causal analyses into team channels. It integrates with Datadog, Splunk, GitHub, and Slack to pull traces, logs, deployments, and error patterns for rapid root-cause identification.
The platform generates reproducible investigation records and live runbooks that capture the steps taken, reducing dependence on individual engineers’ institutional knowledge. On-call engineers receive prioritized findings and remediation or rollback recommendations to accelerate mean time to resolution (MTTR) and standardize response procedures.
Engineering leaders get an auditable history of incidents and diagnostic trends to support onboarding and operational planning. RunLLM refines diagnostic patterns from each incident to improve anomaly detection, alert correlation, and actionable guidance.
RunLLM user reviews
Would you recommend RunLLM?
RunLLM's key features
-
Automated investigations triggered by alerts
-
Correlates traces, metrics, logs and deployments for causal analysis
-
Integrations with Datadog, Splunk, GitHub and other data sources
-
Posts detailed diagnostic reports and remediation recommendations to Slack
-
Captures investigation steps and continuously learns to update runbooks
RunLLM use cases
-
Automate end-to-end incident investigations with RunLLM by querying your observability stack (traces, logs, deployments), correlating telemetry into causal failure analyses, and producing reproducible investigation records plus prioritized remediation guidance for on-call teams
-
Create live incident runbooks that update automatically as RunLLM correlates alerts and telemetry, enabling engineers to execute safe remediation steps, track actions in real time, and generate auditable timelines for postmortems and compliance
-
Generate continuous diagnostic trends and alert-correlation dashboards using RunLLM's telemetry correlation engine to reduce noise, surface recurring failure patterns, prioritize engineering work, and provide an auditable trail for SRE reviews and incident prevention
Who is it for?
-
Technical architects
-
System administrators
-
Data analysts
-
Software developers
-
Cloud engineers
