AI Employee · Infrastructure & Site Reliability (SRE)

Meet Your AI DevOps Engineer
That Never Clocks Out

Talk to it like a principal SRE. Connect AWS, GCP, Kubernetes (EKS/GKE), Datadog, PagerDuty, and GitHub Actions — it correlates telemetry to find root cause in <60s, diagnoses Kubernetes CrashLoopBackOffs, heals broken CI/CD pipelines, and audits cloud waste 24/7.

Hire Your AI DevOps Engineer Book an SRE Demo
DE
RhinoAgents AI DevOps Engineer
Online · Monitoring K8s Clusters & PagerDuty
You
PagerDuty incident #9410 fired: Checkout service HTTP 500 error spike (12% error rate). Diagnose root cause and propose remediation.
DE
Correlating Datadog APM traces, Kubernetes pod logs, and GitHub deploy history for checkout-service-prod…
Datadog Trace Analysis K8s Pod Log Inspection Release Commit Diff
DE
Root Cause Isolated in 34 seconds:
• Trigger: Deploy commit f4a9b2 (18 mins ago) introduced an unhandled null pointer on Redis session cache timeouts.
• Impact: 4 pods in CrashLoopBackOff due to OOMKilled memory spikes.
• Recommended Action: Canary rollback to previous stable tag v2.14.8 and increase Redis connection pool max_idle from 10 to 50.
Rollback to v2.14.8 Open GitHub Hotfix PR Scale Replicas to 8
Zero Downtime Engineering

An Autonomous SRE Specialist, Not an Alert Spammer

Traditional monitoring tools only page you at 3 AM with noisy alerts. Your AI DevOps Engineer performs deep forensic root cause analysis, correlates telemetry across pods and git commits, and drafts remediation PRs before on-call engineers even wake up.

Sub-60s Incident Root Cause Analysis

Correlates distributed traces, container logs, and recent code merges to isolate the exact line causing failure.

Automated Cloud FinOps Optimization

Detects idle NAT gateways, unattached EBS volumes, and oversized compute nodes to trim 30%+ of cloud spend.

Human On-Call Engineer vs. AI DevOps Engineer
❌ Manual On-Call Rotation
✅ AI DevOps Engineer
25–45 min Mean Time to Detect (MTTD)
<60 seconds autonomous root cause isolation
On-call burnout and alert fatigue
24/7/365 vigilance with zero alert fatigue
Manual log grepping across tens of microservices
Instant APM trace and pod log correlation
Stalled CI/CD queues block developer velocity
Automated build failure fixes and cache healing
Cloud bill surprises and untracked resource drift
Continuous Terraform drift & cost governance
Setup in 30 Minutes

Connected to Your Infrastructure in 4 Steps

Link your cloud provider IAM roles, Kubernetes clusters, and observability stack with zero complex agents.

1
Connect Cloud & K8s
Attach read-scoped IAM roles for AWS/GCP and connect EKS or GKE cluster kubeconfigs.
Cloud Access
2
Link Observability
Connect Datadog, PagerDuty, CloudWatch, or Grafana webhooks for instant alert ingestion.
APM Telemetry
3
Connect GitHub / CI
Link GitHub Actions or GitLab CI to monitor deployment manifests and automated build runs.
CI/CD Pipeline
4
Auto-Triage & Heal
AI monitors production 24/7, isolates failures, and sends 1-click remediation dossiers to Slack.
SRE Autopilot
Live Dialogues

See Exactly How It Triages & Heals Infrastructure

Explore real interactions across Kubernetes pod debugging, CI/CD pipeline fixing, Terraform drift audits, and AWS cost reduction.

DE
AI DevOps Engineer • Live Terminal & SRE Ops
ENGINEER
"Why are payment-gateway pods in namespace production entering CrashLoopBackOff?"
DE
Kubernetes Diagnostic Report:
• Pod Exit Code 137 (OOMKilled): Memory usage hit hard cgroup limit of 512Mi at 14:02 UTC.
• Log Analysis: Connection pool to Postgres remained open during Stripe webhook timeouts, leaking 4MB/req.
• Remediation: Raised pod memory limit to 1Gi in Helm chart and created GitHub PR #382 to add db.Close() in defer block.
DEVELOPER
"Build pipeline failed on main branch for auth-service. Can you check GitHub Actions logs?"
DE
CI/CD Error Resolved:
• Failure Cause: Breaking dependency change in jsonwebtoken@9.0.2 caused unit test test_jwt_validation to fail.
• Fix Applied: Pinned package version in package.json and refreshed Docker build cache layer.
• Pipeline Status: Reran GitHub Workflow #WF-9104 — All 48 tests passed (green).
SECURITY LEAD
"Run a Terraform drift check across our us-east-1 production VPC."
DE
🚨 Security & Drift Alert:
• Manual AWS console change detected on Security Group sg-084ab91: Port 22 (SSH) was opened to 0.0.0.0/0 at 03:14 UTC.
• Action Taken: Reverted rule to authorized corporate bastion IP only.
• Opened Terraform PR to import modified resource state and enforce drift guard.
You
Analyze AWS infrastructure spend for this month and identify cost-saving opportunities.
DE
✅ Found 14 unattached gp3 EBS volumes ($420/mo savings).
✅ Identified 3 staging RDS Aurora instances idle on weekends — automated weekend shutdown script scheduled ($1,280/mo savings).
✅ Total estimated monthly cost reduction: $3,450 / month (32% reduction).
Enterprise Feature Mapping

Every Infrastructure SRE Workflow. Powered by RhinoAgents.

Your AI DevOps Engineer is powered by our enterprise control plane and autonomous infrastructure reliability runtime.

SRE Bottleneck
Engineers spend hours sifting through noisy Datadog alerts and logs during high-severity outages.
Multi-Telemetry Correlation
Correlates distributed APM traces, pod logs, and git merges to pinpoint the exact failure source in seconds.
<60s
Mean Time to Root Cause (MTTR reduction of 75%)
SRE Bottleneck
Flaky tests and broken Docker caches frequently jam CI/CD pipelines, blocking team release velocity.
Autonomous Pipeline Healing
Parses CI logs, pins broken upstream packages, purges stale caches, and opens auto-fix PRs.
99.8%
CI/CD deployment pipeline uptime and build success
SRE Bottleneck
Unmonitored cloud sprawl and forgotten dev instances lead to massive cloud billing waste.
Continuous FinOps Guardrails
Audits idle compute, orphaned volumes, and uncompressed logs across AWS and GCP automatically.
30%+
average monthly reduction in overall cloud infrastructure spend
Full Capability Set

Everything a Senior SRE & DevOps Engineer Does. Automated.

From 24/7 incident triage to automated infrastructure drift correction, your AI employee covers the entire reliability lifecycle.

24/7 Incident Triage & RCA
Ingests PagerDuty and Datadog alerts, correlates traces with git commits, and isolates root cause in under 60 seconds.
PagerDutyDatadogTrace RCA
Kubernetes Pod Diagnostics
Investigates CrashLoopBackOff, OOMKilled, image pull errors, and ingress routing failures across EKS, GKE, and AKS.
EKS / GKECrashLoopOOMKilled
CI/CD Pipeline Healing
Debugs broken build steps, resolves npm/pip dependency mismatches, and refreshes invalid Docker cache layers.
GitHub ActionsGitLab CIDocker Cache
Terraform IaC Drift Auditing
Scans AWS/GCP infrastructure for manual console drift, flags insecure open security groups, and syncs state files.
TerraformDrift GuardSecurity Audit
Cloud FinOps & Cost Control
Identifies oversized instances, orphaned storage volumes, and uncompressed logs to reduce cloud bills by 30%+.
AWS CostGCP BillingFinOps AI
1-Click Slack SRE Remediation
Pushes interactive incident dossiers to Slack with 1-click buttons for Canary Rollbacks, Pod Restarts, and Replica Scaling.
Slack OpsCanary Rollback1-Click Scale
Human-in-the-Loop

Full Speed. Full Production Safety.

Your AI DevOps Engineer analyzes logs, queries telemetry, and generates fix pull requests automatically, but requires engineering confirmation for any production state modification.

1

Diagnostic Queries Automated

Telemetry correlation, kubectl logs, trace inspection, and root cause reports run continuously.

2

Remediation Action Prepared

Generates a safe rollback script, pod restart plan, or Helm configuration pull request.

3

1-Click Engineer Sign-Off

SRE engineers review the diagnostic summary in Slack and click Approve Rollback.

Slack Notification • #production-sre-alerts
🚨 Production Incident Diagnosis Ready:
• Service: auth-service-prod (Cluster: us-east-1-eks)
• Root Cause: NullPointerException in token refresh middleware (Commit #b82e10).
• Proposed Action: Instant canary rollback to release v1.9.4.
Integrations

Connects to Your Entire Cloud & DevOps Stack

Native connectors for cloud providers, container orchestrators, APM observability platforms, and CI/CD runners.

Amazon Web Services Google Cloud Kubernetes Datadog PagerDuty GitHub Actions GitLab CI Terraform Slack & Teams
Real-Time Observability

Complete Cloud Reliability & Cost Visibility

Track production uptime SLA compliance, Mean Time to Remediation (MTTR), cloud cost savings, and deployment failure rates in real time.

AI Site Reliability & DevOps Dashboard
99.99%
Cluster Uptime SLA
48 sec
Avg Incident MTTR
-$4,200
Monthly Cloud Cost Saved
Enterprise Security

Zero Trust IAM & Secret Governance

Built with least-privilege scoped IAM roles, zero storage of source code or production secrets, and SOC 2 Type II controls.

Scoped Least-Privilege IAM
Operates via read-only diagnostic roles or fine-grained RBAC permissions with complete audit trails.
Zero Code / Secret Storage
Proprietary application code and production secrets are never cached or used to train public LLM models.
SOC 2 Type II Certified
Enterprise security controls guarantee isolation between cloud accounts and VPC network enclaves.
Frequently Asked Questions

Everything DevOps Leaders Need to Know

Clear answers on IAM permissions, Kubernetes access, production safety guardrails, and cloud cost audits.

What permissions does the AI DevOps Engineer require in AWS/GCP?
We provide standard Terraform modules creating read-only diagnostic IAM roles (CloudWatch, CloudTrail, EKS Describe). For automated remediation, optional scoped roles (e.g. Helm Rollback or Pod Restart) can be granted under Human-in-the-Loop Slack sign-off.
Can it fix broken CI/CD pipelines in GitHub Actions automatically?
Yes. When a GitHub Actions workflow fails, the AI analyzes the build failure logs, identifies the broken dependency or failed test regression, and opens a pull request with the corrective patch.
How does it correlate Datadog alerts with recent code deployments?
The AI connects Datadog APM trace timelines with your GitHub deployment webhooks. It matches latency spike timestamps with recent commit SHAs and changed pull request files to identify the faulty commit.
How long does integration take?
Connecting your cloud IAM role, Datadog API keys, and GitHub app takes under 30 minutes. Full observability calibration takes under 24 hours.
Achieve Five-Nines Uptime

Deploy Your AI DevOps Engineer

Connect your cloud and observability stack in 30 minutes and eliminate 3 AM on-call alert fatigue with sub-minute incident triage.

Deploy AI DevOps Engineer Schedule SRE Demo