Autonomous AI for Infrastructure

Your DevOps team
never sleeps.
Because it runs
on AI agents.

AgentOps connects AI agents directly to your infrastructure. They detect issues, remediate incidents, deploy changes, and scale services — autonomously, with full audit trails.

4 min avg incident resolution
24/7 autonomous operations
0 2 AM pages
AI Agent
autonomous
Your Infrastructure
AWS · Azure · GCP
Deploy
Remediate
Scale
The old way
Engineers chase alerts at 2 AM
On-call teams manually correlate logs, traces, and deployment history to find root cause — averaging 2-4 hours per incident.
Copilots just talk
Most "AI for DevOps" tools surface recommendations. Someone still has to copy-paste commands, open dashboards, and click buttons.
Humans can't keep up with cloud complexity
Multi-cloud, serverless, Kubernetes, hundreds of microservices — the blast radius is too large for manual operations at scale.
The AgentOps way
Agents fix it before you notice
Autonomous agents detect anomalies, test hypotheses, and remediate — averaging 4 minutes from alert to resolution. No human involved.
Agents act, not advise
Agents connect to your infra via secure credentials and execute real operations. Changes, deployments, rollbacks — all autonomous.
Scales with your infrastructure
One agent per service, coordinating across your entire stack. 10 services or 1,000 — same operational model.

Autonomous operations across your entire stack

Incident Response

Agents detect anomalies, trace dependencies, identify root cause, and execute fixes — all autonomously. Average resolution: 4 minutes. No on-call engineer needed.

Root cause analysisAutomated rollbackPost-mortem generation

Continuous Optimization

Agents monitor cost, performance, and reliability continuously. They right-size infrastructure, kill zombie resources, and tune autoscaling policies — daily, without human input.

Cost optimizationAutoscalingResource efficiency

Autonomous Deployments

Agents manage your release pipeline — canary analysis, feature flags, blue-green deployments, instant rollbacks. They watch for signals and act before your users feel anything.

Canary deploysA/B traffic shiftingOne-click rollback

Multi-Cloud Orchestration

One agent fleet, every cloud. AgentOps manages AWS, Azure, and GCP simultaneously — provisioning, networking, security policies, across providers from a single control plane.

AWSAzureGCPMulti-cloud

Compliance & Audit

Every agent action is logged, timestamped, and versioned. Complete audit trail for SOC 2, HIPAA, and PCI. Generate compliance reports on demand — no manual spreadsheet archaeology.

SOC 2HIPAAPCI-DSSFull audit trail

Self-Healing Infrastructure

Agents detect degraded services and auto-remediate — restart pods, reroute traffic, replace failed nodes. Infrastructure recovers itself before your users notice anything went wrong.

Auto-restartTraffic reroutingHealth checks

From zero to autonomous ops in three steps

01

Connect your infrastructure

Grant AgentOps read access to your cloud accounts via OAuth. Our agent installer runs in your environment — no credentials leave your account. Takes under 5 minutes.

AWS, Azure, GCP supported
Scoped IAM permissions only
Read-only by default
02

Define agent boundaries

Set permission scopes — which resources agents can touch, which operations require approval, which are fully autonomous. Agents won't go outside these guardrails.

Resource-level permissions
Approval workflows for risky ops
Policy-as-code config
03

Agents run. You watch.

Your agent fleet starts monitoring, optimizing, and remediating. Watch every action in the AgentOps dashboard — full transparency, full control. Override any agent decision instantly.

Real-time activity feed
One-click kill switch
Human-in-the-loop when needed

We don't touch your production without your explicit permission.

Giving an AI agent access to your infrastructure sounds scary. That's why AgentOps was built around the principle of least privilege by default. Agents operate in a sandbox — scoped exactly to what you approve, nothing more.

Scoped credentials only
Agents use IAM-scoped short-lived credentials. No root access. No credential sharing. Read-only mode until you explicitly enable write operations per resource.
Zero-trust architecture
Every API call is authenticated and logged. Agents can't escalate privileges. The audit log is append-only and cryptographically verified.
Circuit breakers on every action
If an agent action fails 3 times, it's automatically paused. A human has to review before it resumes. Catastrophic actions trigger instant human escalation.
AgentOps Audit Log
14:23:01
Restarted 3 degraded pods in prod-web-ticket
ALLOWED
14:21:47
Attempted to delete prod-db-master
BLOCKED
14:18:32
Autoscaled api-gateway to 12 replicas
ALLOWED
14:15:09
Requested approval to modify prod-lb-config
ESCALATED
14:10:55
Detected DynamoDB throttling in prod-ddb
RESOLVED

Your on-call engineer is a fleet of AI agents.

Stop paying humans to do what autonomous agents do better. Fewer incidents. Faster resolutions. No 2 AM pages. AgentOps runs your infrastructure while your team builds product.

The future of operations isn't humans watching dashboards. It's autonomous agents acting with precision, learning from every incident, and running your infrastructure better than any team could.

That's AgentOps.