DeployPilotOS
Status Page
Autonomous Agent System Active

Your Production App
Just Failed.

DeployPilotOS diagnosed the root cause in 8 seconds. Ran the recovery playbook. Restored health. Done.

AI-Powered
Incident Resolution.

Eliminate alert fatigue. Let frontier reasoning models triage, debug, and patch your systems autonomously.

Multi-Cloud
Fleet Management.

Seamlessly monitor and manage infrastructure across AWS, Azure, GCP, and OCI from a single control plane.

deploypilot-agent.log
AWS AWSAzure AzureGCP GCPOpenAI OpenAIDatadog DatadogSlack SlackGitHub GitHubPagerDuty PagerDutyKubernetes Kubernetes
AWS AWSAzure AzureGCP GCPOpenAI OpenAIDatadog DatadogSlack SlackGitHub GitHubPagerDuty PagerDutyKubernetes Kubernetes

The Autonomous SRE Lifecycle

DeployPilotOS doesn't just alert you. It actively investigates, mitigates, and resolves production incidents end-to-end without human intervention.

Detect

Ingest logs, metrics, and traces globally across all cloud providers.

Diagnose

Correlate logs, metrics, and git deploys instantly.

Execute

Run pre-approved runbooks and playbooks automatically.

Rollback

Undo broken releases and patch configurations in under 15 seconds.

Voice CMD

Command the incident war room natively via Realtime Voice.

Audit Log

Immutable compliance history of every autonomous agent action.

The ROI of Autonomy

Compare traditional, manual on-call workflows with DeployPilotOS's autonomous resolution.

Capabilities
Traditional SRE
DeployPilotOS
Root Cause Analysis
Manual log hunting & dashboard scanning (25m+)
Instant AI-driven graph traversal (8s)
Alert Fatigue
Hundreds of noisy, disconnected alerts daily
Correlated signals, zero noise, high context
Remediation
Wait for on-call engineer to wake up & diagnose
Autonomous playbook execution instantly
Average MTTR
1 - 4 hours depending on severity
< 2 minutes for standard incidents
Scaling Cost
Expensive 24/7 global on-call rotations
Fractional compute cost, infinite parallel scale