Incident Response
on Autopilot
Operyn ingests telemetry, diagnoses root causes, and orchestrates automated remediation across your cloud.
Operyn AI Root Cause
payment-api latency caused by connection pool exhaustion after deploy v2.4.1. Suggested fix: rollback deployment.
Platform Workflow
From signal to resolution
One platform for detection, diagnosis, coordination, and safe remediation.
Stage 01
Signals
Ingest metrics, logs, traces, and deploy events before noisy telemetry becomes an incident.
Operyn surface
Prometheus, OpenTelemetry, deploy hooks
Stage 02
Diagnosis
Use AI to summarize failures, connect recent changes, and surface likely root causes.
Operyn surface
Root cause, evidence, similar incidents
Stage 03
Orchestration
Trigger triage workflows, notify responders, and apply policy checks before any action.
Operyn surface
Approvals, escalation, blast-radius control
Stage 04
Remediation
Queue safe fixes, execute rollback or recovery actions, and track outcomes.
Operyn surface
Runbooks, rollback, MTTR and postmortems
Stage 01
Signals
Ingest metrics, logs, traces, and deploy events before noisy telemetry becomes an incident.
Stage 02
Diagnosis
Use AI to summarize failures, connect recent changes, and surface likely root causes.
Stage 03
Orchestration
Trigger triage workflows, notify responders, and apply policy checks before any action.
Stage 04
Remediation
Queue safe fixes, execute rollback or recovery actions, and track outcomes.
Explainable AI
Decisions your team can inspect before they trust
Operyn shows the evidence, recent changes, and policy context behind each diagnosis.
Diagnosis
Connection pool exhaustion after deploy `v2.4.1`
Operyn correlated elevated DB wait time, pool exhaustion errors, and the most recent deployment to identify the likely root cause in seconds.
Why this decision
Recommended action
Rollback `payment-api` to `v2.3.9`
Zero-downtime rollback available. Production approval required.
AI decision
incident/payment-api
Diagnosis
Connection pool exhaustion after deploy `v2.4.1`
Evidence points to deploy-related DB saturation in production.
Deploy
v2.4.1 completed 11m ago
Evidence
1,247 matching errors across 3 pods
Action
Rollback `payment-api` to `v2.3.9`
Policy
Prod approval gate
Incident Workflows
Built for real incident response, not just alerts
Operyn turns diagnosis into coordinated action with a shared workspace for responders, approvals, and updates.
Shared incident workspace
Timeline, owner, severity, and next steps in one place.
Stakeholder updates built in
Coordinate responders and publish updates in the same flow.
Approvals with context
Suggested remediations arrive with evidence and policy matches.
Incident workspace
checkout + payments
Active incident
API latency spike affecting checkout and payments
Service
payment-api
Env
production
Channel
#incident-sev1
Latest updates
Core Capabilities
Intelligence Meets Automation
Two pillars that power Operyn's autonomous incident lifecycle.
AI Root Cause Analysis
Logs → Diagnosis in seconds
Raw Logs Analyzed
[ERR] payment-api ConnectionPoolExhausted max=50 active=50
[WARN] payment-api response_time_ms=4200 threshold=2000
[INFO] deploy v2.4.1 completed 12m ago service=payment-api
AI Diagnosis
Connection pool exhaustion following deployment v2.4.1. New version increased DB query count per request by 3x without pool size adjustment.
Deploy
v2.4.1
Topology
api -> db
History
3 similar
Automated Remediation
Safe corrective actions with approval gates
Corrective Action
Awaiting ApprovalPolicy
Prod approval required
Blast radius
1 service / 0 user-visible pods
Safety First
Guardrails You Can Trust
Operyn never takes an action without your permission. Every remediation passes through configurable safety policies.
Approval Gates
Critical actions require human approval before execution. Define policies per service and environment.
Impact Simulation
Preview the blast radius of every remediation action before it runs. Dry-run mode for safe testing.
RBAC & Whitelisting
Control exactly which actions the AI can perform per team, service, and environment.
Audit Logging
Every action, approval, and rejection is logged with full context for compliance.
# operyn-policy.yaml
remediation:
safety:
allowed_actions:
- restart-service
- scale-pods
- rollback-deployment
require_approval:
- environment: production
actions: [rollback-deployment]
approvers: [sre-team, platform-lead]
constraints:
max_scale_replicas: 10
blocked_services:
- billing-core
- auth-gateway
simulation:
enabled: true
dry_run_first: trueProd
approval gate
Payments
rollback only
Audit
full trace
Integrations
Connects Your Entire Stack
Observability inputs flow in. Remediation actions flow out.
Observability Inputs
Remediation Outputs
Trusted By SRE Teams
What Engineers Say
Teams using Operyn ship faster and sleep better.
Operyn didn't just find the root cause; it suggested the exact kubectl command to fix it before I even woke up.
Sarah Chen
SRE Manager at CloudScale
The safety guardrails are what sold our security team. We control exactly what the AI can and cannot automate.
Marcus Rivera
VP of Engineering at FinSecure
Finally, an AI tool that understands Kubernetes context instead of just spitting out generic log summaries.
Priya Sharma
Platform Engineer at DataStream
We went from 45-minute MTTR to under 5 minutes on P1 incidents. The ROI was immediate.
James Park
Head of SRE at Velocity
Operyn's approval gates gave us the confidence to turn on automated remediation in production.
Elena Volkov
DevOps Lead at NexaCloud
Operyn didn't just find the root cause; it suggested the exact kubectl command to fix it before I even woke up.
Sarah Chen
SRE Manager at CloudScale
The safety guardrails are what sold our security team. We control exactly what the AI can and cannot automate.
Marcus Rivera
VP of Engineering at FinSecure
Finally, an AI tool that understands Kubernetes context instead of just spitting out generic log summaries.
Priya Sharma
Platform Engineer at DataStream
We went from 45-minute MTTR to under 5 minutes on P1 incidents. The ROI was immediate.
James Park
Head of SRE at Velocity
Operyn's approval gates gave us the confidence to turn on automated remediation in production.
Elena Volkov
DevOps Lead at NexaCloud
The integration with our existing observability stack took 30 minutes. No rip-and-replace required.
David Osei
Infrastructure Architect at Meridian
Our on-call engineers actually sleep through the night now. Operyn handles the first 15 minutes of every incident.
Aiko Tanaka
Engineering Manager at Pylon
We evaluated 6 AIOps tools. Operyn was the only one that could explain its reasoning, not just alert on anomalies.
Chris Ndlovu
CTO at InfraHQ
The audit trail is incredible. Every automated action is logged with full context. Compliance loves it.
Lisa Bergström
Security Lead at TrustLayer
Went from 200+ daily alerts to 12 actionable incidents. Operyn filters the noise better than any tool we have tried.
Raj Patel
SRE at ScaleOps
The integration with our existing observability stack took 30 minutes. No rip-and-replace required.
David Osei
Infrastructure Architect at Meridian
Our on-call engineers actually sleep through the night now. Operyn handles the first 15 minutes of every incident.
Aiko Tanaka
Engineering Manager at Pylon
We evaluated 6 AIOps tools. Operyn was the only one that could explain its reasoning, not just alert on anomalies.
Chris Ndlovu
CTO at InfraHQ
The audit trail is incredible. Every automated action is logged with full context. Compliance loves it.
Lisa Bergström
Security Lead at TrustLayer
Went from 200+ daily alerts to 12 actionable incidents. Operyn filters the noise better than any tool we have tried.
Raj Patel
SRE at ScaleOps
Pricing
Plans for every team size
Scale Operyn as your infrastructure grows. Unlimited seats on all plans.
Starter
For startups & small engineering teams
- Max 5 monitored services
- 7-day data retention
- Standard AI Diagnosis
- Manual Remediation (1-click)
- Slack & Email notifications
Pro
For mid-market high-growth teams
- Includes 15 monitored services
- 30-day data retention
- Fully Automated Remediation
- Predictive Detection & Postmortems
- 5-Persona RBAC
- Jira, Discord & Webhook Integration
- Overage: $40/mo per extra service beyond 15
Enterprise
For security-critical organizations
- Unlimited monitored services
- Bring Your Own LLM (BYO-LLM)
- SOC2-ready audit exports
- Enterprise SSO (SAML/OIDC)
- Dedicated Support & Custom SLAs
The brain of your operations.
Ready to see how Operyn can help your team? Let's talk.