Site Reliability Engineer: the all-in-one AI plugin

Skills for site reliability engineers 17

• system monitoring assistantDigs through logs, metrics, and alerts to spot anomalies and name next steps, like a memory spike on one node.
• devops incident responderDiagnoses a live outage, drafts the postmortem, tunes the alert, and flags runbook gaps, like checkout returning 500s.
• sre engineerSets SLIs, SLOs, and error budgets, cuts toil, and designs fault tolerance, like a 99.9 percent API target.
• monitoring specialistBuilds metrics collection, alert rules, dashboards, log aggregation, tracing, and SLA reporting for a new service.
• it operationsGives frameworks for incidents, change management, capacity planning, and alert tuning, like sizing next quarter's database capacity.
• engineering runbookTurns topology, alerts, dashboards, procedures, and on-call schedules into one copyable page for the person holding the pager.

Plus a start-here assistant, the prompt library and the app builder, and for members the daily brief.

Ready-made prompts 25

• Incident Communication Basics3 prompts, like Draft Incident Status Update
• Runbooks And Automation3 prompts, like Turn Incident Notes Into Runbook
• Monitoring And Alerting3 prompts, like Write A PromQL Query For Metrics
• Troubleshooting From Logs3 prompts, like Explain an Error From Logs
• Postmortems And Learning4 prompts, like Write A Production Incident Postmortem
• Capacity And Cost Planning3 prompts, like IT Capacity Planning Forecast
• Reliability Design Reviews3 prompts, like Review Architecture For Reliability Risks

Apps you can build with AI 7

• Alert investigation and fix consoleCuts time from alert to reviewed fix while keeping engineers in control of what changes in production. Demo included.
• Production incident root-cause coordination portalCuts time to root cause and coordination effort when several teams chase the same production incident. Demo included.
• Production incident triage and response coordination portalSpeeds up coordinated resolution of a live incident while responders keep control of every action taken. Demo included.
• Evidence-backed search and dashboard workspaceCuts tool switching and manual queries while every number on the screen traces to its source. Demo included.
• Incident reporting assistantProduces a verifiable incident timeline that keeps uncertainty visible instead of guessing at gaps. Demo included.
• Evidence-backed dashboard and anomaly reporting workspaceReplaces scattered dashboards and manual data pulls with one owned workspace for anomaly evidence. Demo included.
• Technical runbook prerequisite checkerChecks readiness before someone runs a runbook, so steps fail early instead of mid-incident. Demo included.

AI agents 12

In the download. An agent runs a whole recurring task for you, step by step, and asks you before anything important. Ask your AI: "Run the Support Incident Correlation Agent". Each one also has a guided set-up with sample data on its page.

• Support Incident Correlation AgentRelated tickets are grouped into the correct incident, quickly and with evidence.
• Cloud Cost Regression Investigation AgentEvery cost spike explained, with the right owner and a safe fix proposal.
• Team Knowledge Handoff Test AgentHandoff guides that someone new can actually follow.
• Release Checklist and Rollback AgentReach a production deploy where all checks pass and a tested rollback exists.
• Uptime and Incident Response AgentDetect and confirm outages quickly, find the likely cause and verify recovery.
• Outage Surge Communication AgentGive agents and customers one accurate message during an outage and keep it up to date.
• Major Incident Status Update AgentAccurate, timely updates throughout an incident, and a clean timeline afterward
• Log Anomaly Investigation AgentUnexplained log anomalies turned into evidence-backed draft incidents, and explained ones closed
• Runbook Freshness Test AgentRunbooks that are tested, current and dated
• Bandwidth Hog Investigation AgentCongestion removed with a fix that was tested and did not hurt important traffic
• Routing Anomaly Watch AgentRouting problems caught and diagnosed before users report them
• Replication Lag Investigation AgentA confirmed cause of replica lag and a tested fix, with the evidence recorded

Connections (MCP servers) 12

A guide in the download. A connection lets your AI work in an app you already use. You add only the ones you use: ask your AI "Which apps can you connect to?" and follow the steps on each connection's page.

• Grafana MCP serverLets your AI search dashboards, check alerts, and query your Grafana data for you. Official.
• Datadog MCP serverAsk your AI about your Datadog monitors, logs, incidents and SLOs, and get clear answers back.
• Observability MCP serverAsk your AI about your Grafana, Prometheus, Kafka and Datadog setup and get answers in plain chat.
• Dynatrace Managed MCP serverAsk your AI about problems, logs, events, SLOs and metrics in your self-hosted Dynatrace Managed setup. Official.
• Nimbus MCP serverLets your AI search your engineering tools like GitHub, Jira, Slack and PagerDuty in one place. Official.
• Logs Sieve MCP serverAsk your AI about your app logs in plain English and get back the exact entries and patterns.
• Rootly MCP serverAsk your AI about your Rootly incidents, on-call schedules, alerts, and services without leaving the chat. Official. No install needed.
• VictoriaMetrics MCP serverLets your AI look up and explore your VictoriaMetrics monitoring data and docs for you. Official. No install needed.
• Grafana Loki MCP serverLets your AI look up and read your Loki logs through Grafana when you ask it a question.
• Loki MCP serverLets your AI search and read your Grafana Loki logs by asking plain questions in chat.
• Metoro MCP serverLets your AI answer questions about your Kubernetes cluster using Metoro's monitoring data. Official.
• Lumino MCP serverLets your AI check Kubernetes and OpenShift clusters, debug Tekton pipelines, and spot problems early.

Your Grok Bot team 12

• Incident ResponderAssess severity, stabilize systems, coordinate communication, and produce blameless post-incident reports.
• Sre EngineerDefine SLOs, manage error budgets, and reduce toil for system reliability.
• Observability EngineerDesigns and maintains production monitoring, logging, and tracing systems for reliability.
• Postmortem WritingGuide blameless postmortems from incident data to action items.
• Deployment EngineerDesigns and optimizes CI/CD pipelines for faster, safer deployments with automated rollbacks and monitoring, including GitOps and progressive delivery
• Platform Sre KubernetesManages production Kubernetes deployments with safe rollouts, rollbacks, and security defaults.
• Load Testing SpecialistDesigns and executes load tests to find system bottlenecks and capacity limits.
• Aws Cost OptimizerAnalyze AWS spending and recommend cost savings using CLI and Cost Explorer.
• Monitoring SpecialistMonitors infrastructure health, collects metrics, and alerts on symptoms to keep systems reliable.
• Devops TroubleshooterDiagnoses production incidents using logs, metrics, and traces with systematic root cause analysis.
• Incident Runbook TemplatesGenerate incident response runbooks with detection, triage, and mitigation steps.
• Datadog AutomationAutomate Datadog monitoring, metrics, logs, monitors, dashboards, events, and downtimes via Rube MCP.