The AI kit for Site Reliability Engineers

Digs through logs, metrics, and alerts to spot anomalies and name next steps, like a memory spike on one node.

Diagnoses a live outage, drafts the postmortem, tunes the alert, and flags runbook gaps, like checkout returning 500s.

Sets SLIs, SLOs, and error budgets, cuts toil, and designs fault tolerance, like a 99.9 percent API target.

Builds metrics collection, alert rules, dashboards, log aggregation, tracing, and SLA reporting for a new service.

Like "Draft Incident Status Update"

Like "Turn Incident Notes Into Runbook"

Like "Write A PromQL Query For Metrics"

Like "Explain an Error From Logs"

Related tickets are grouped into the correct incident, quickly and with evidence.

Every cost spike explained, with the right owner and a safe fix proposal.

Handoff guides that someone new can actually follow.

Reach a production deploy where all checks pass and a tested rollback exists.

Lets your AI search dashboards, check alerts, and query your Grafana data for you.

Ask your AI about your Datadog monitors, logs, incidents and SLOs, and get clear answers back.

Ask your AI about your Grafana, Prometheus, Kafka and Datadog setup and get answers in plain chat.

Ask your AI about problems, logs, events, SLOs and metrics in your self-hosted Dynatrace Managed setup.

Parity (YC S24) is the first AI SRE that autonomously investigates Kubernetes incidents, triages issues, identifies root causes, and suggests fixes—helping on-c

DrDroid automates production incident triage, troubleshooting, and remediation. Integrating with 50+ tools like Datadog and Kubernetes, it helps engineers resol

Phare Incident AI turns raw logs into concise, readable incident summaries and post-mortems, speeding root-cause analysis and cutting hours spent squinting thro

Struct auto-investigates alerts-pulling metrics, logs, traces and code, correlating anomalies to deliver root cause, impact summary and a ready incident report

Cuts time from alert to reviewed fix while keeping engineers in control of what changes in production.

Cuts time to root cause and coordination effort when several teams chase the same production incident.

Speeds up coordinated resolution of a live incident while responders keep control of every action taken.

Cuts tool switching and manual queries while every number on the screen traces to its source.

Assess severity, stabilize systems, coordinate communication, and produce blameless post-incident reports.

Define SLOs, manage error budgets, and reduce toil for system reliability.

Designs and maintains production monitoring, logging, and tracing systems for reliability.

Guide blameless postmortems from incident data to action items.