Product 2

Augmented SRE Operator

Your AI companion for daily SRE work. Ask questions in plain English. Get instant answers. Execute runbooks. Surface anomalies before they escalate. All with full transparency and human control.

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On-Call Engineers Site Reliability Engineers Incident Commanders Platform Operators
Live Interaction

Talk to Your Infrastructure Like a Colleague

Natural language investigation, runbook execution, and proactive anomaly detection — all with human-in-the-loop control.

👤
Why is the payment API p99 latency at 2.4s? It was 180ms yesterday.
🤖
I found 3 correlated events in the last 24 hours:

1. Deployment — Commit a3f7d2 merged to payment-service at 14:12, 11 minutes before latency spike
2. Schema change — Jira ticket AUTH-4421 opened for DB index modification at 14:08
3. Historical pattern — Similar incident INC-3816 on May 14, resolved by rolling back the same commit

Confidence: 94% — The schema change introduced a missing index on the transactions table.
👤
Propose rollback and notify the on-call engineer.
🤖
Policy Check: Policy PAY-001 requires human approval for payment service remediation.

Action prepared:
• Rollback commit a3f7d2 from payment-service
• Restart pod pool (rolling, zero-downtime)
• Notify on-call: Sarah Chen (SRE Lead)
• Create incident INC-2026-0842

Awaiting your [Approve] or [Override].
"What would have happened if we didn't catch this?"
"Show me the blast radius"
"Generate a post-mortem draft"
Core Pillars

Four Pillars of Augmented SRE

Built to amplify your on-call team, not replace them. Every suggestion is a recommendation with full reasoning and human approval.

💬
Natural Language Investigation
Ask Plain English. Get Instant Diagnosis.

Ask "Why is checkout slow?" and get context-aware answers pulled from metrics, logs, traces, and deployment history. No query languages. No dashboard hunting.

  • Conversational infrastructure queries
  • Context-aware answers from full telemetry
  • Native Slack & Teams integration
  • Observability connectors: Datadog, Grafana, Prometheus, Splunk
📋
Runbooks & Remediation
Tribal Knowledge Into Executable Automation

The AI learns from past incidents, generates runbooks from plain English descriptions, and executes them with policy-governed approval gates. Turn experience into automation.

  • AI-generated runbooks from natural language
  • Policy-governed execution with approval gates
  • Continuous learning from incident history
  • One-click rollback and remediation actions
🔮
Proactive Anomaly Detection
Surface Issues Before They Escalate

"This CPU pattern on the auth service usually precedes a cascading failure within 45 minutes." Pattern-based early warnings with plain-language explanations and preventive actions.

  • Pattern-based early warning system
  • Plain-language anomaly explanations
  • Recommended preventive actions ranked by confidence
  • Learns your specific stack and operational patterns
🛡️
Human-in-the-Loop by Design
Amplify Your Team. Never Replace Judgment.

Every AI suggestion is a recommendation, not a command. Engineers review, modify, approve, or reject every action. Full transparency with reasoning traces and confidence scores.

  • Every suggestion requires explicit approval
  • Full reasoning trace with confidence scoring
  • Operator override at any decision point
  • Collaborative decision mode for complex incidents

Ready to Augment Your SRE Team?

See how natural language investigation and policy-governed automation can cut your MTTR by 70% while keeping your engineers in full control.

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