Infravox AI Documentation
Your autonomous SRE engineer — a unified platform that monitors, diagnoses, and auto-fixes infrastructure 24/7 using five specialist AI agents.
Built by engineers,
for engineers.
We started Infravox in 2026 because we were tired of 3AM incident pages, manual root cause analysis, and cloud bills nobody understood. We knew AI could do better — so we built it.
Our Mission
Every engineering team deserves an AI SRE that never sleeps — one that detects problems before they become incidents, understands root cause in seconds, and executes safe fixes automatically. We're building that for every team on earth.
No more 3AM pages
AI detects and resolves incidents before your on-call engineer is paged.
RCA in seconds
94% confidence root cause analysis across logs, metrics, and topology.
One platform, every cloud
AWS, GCP, Azure, K8s — one unified operational context.
AI explains its reasoning
Every insight shows evidence and confidence. No black boxes.
The Team
Operators and engineers who've been in the trenches — building, scaling, and fixing infrastructure at high-growth companies.
Shivam SinghCEO & Co-FounderTechnical founder with deep expertise in Kubernetes, cloud-native systems, and AI-driven infrastructure automation. Previously led DevOps and platform engineering at scale.
Sameer BhanotChief Operations & Product OfficerDrives product strategy and operational excellence. Bridges business vision with technical execution — ensuring Infravox scales efficiently.
Roadmap
Phase 1
ShippedPhase 2
ShippedPhase 3
BuildingPhase 4
PlannedIntroduction
Infravox AI is your autonomous SRE engineer — a unified platform that monitors, diagnoses, and auto-fixes infrastructure 24/7 using five specialist AI agents.
Follow this guided path to go from zero to fully autonomous. Each step links to a detailed how-to guide.
Quick Start
Connect your infrastructure and have Infravox AI monitoring in under 5 minutes.
Settings → Integrations and connect your cloud provider (AWS, Azure, GCP) or Kubernetes cluster. Takes under 2 minutes.Code Review → Connect Repo link GitHub, GitLab, Bitbucket, or Azure Repos to enable AI PR reviews and code scanning.Settings → Auto-Fix and toggle on auto-remediation for safe actions like pod restarts and rollbacks. All actions are logged with full audit trails.How It Works
Every alert goes through a 6-step autonomous pipeline before you're notified — or before it auto-resolves.
Metrics, logs, and traces are ingested continuously. Anomalies trigger within 60 seconds.
The AI Orchestrator dispatches the right specialist agent based on signal type.
Agent correlates logs, deployments, and topology to determine root cause with 94% confidence.
A ranked list of safe, reversible fixes is generated — restart, rollback, scale, or patch.
With auto-fix enabled, the safest action runs immediately and is verified. Full audit trail.
Incident closes, postmortem is generated, and learnings update the AI model.
AI Agents
Five specialist agents collaborate through an AI Orchestrator to handle every operational task autonomously.
SRE Agent
Detects anomalies, runs root cause analysis, manages incident lifecycle end-to-end.
DevOps Agent
Monitors CI/CD pipelines, detects deploy failures, triggers rollbacks automatically.
Security Agent
Scans configs, IaC, code, and runtime for vulnerabilities. Blocks risky PRs.
FinOps Agent
Identifies idle resources, over-provisioned nodes, and unused reservations.
Git Agent
Reviews PRs, runs SAST scanning, monitors pipelines across GitHub, GitLab, Bitbucket, Azure Repos.
AI Orchestrator
Routes signals to the right agent, combines outputs, resolves conflicts, produces final answers.
SRE Agent
Your 24/7 site reliability engineer. Monitors all services and resolves incidents in seconds.
The SRE Agent continuously ingests metrics, logs, and traces from all connected integrations. When an anomaly is detected it immediately:
DevOps Agent
Monitors every deployment, detects pipeline failures, and triggers automatic rollbacks.
Connected to GitHub Actions, GitLab CI, Jenkins, ArgoCD, CircleCI, and Azure Pipelines, the DevOps Agent watches every pipeline run in real time. It correlates new deployments with system health metrics — and rolls back automatically if a regression is detected within the first 5 minutes of a release.
# Example: automatic rollback trigger event event: deployment.regression_detected service: api-gateway deploy: v2.4.1 → rollback to v2.4.0 reason: error_rate +340% within 90s of deploy action: kubectl rollout undo deployment/api-gateway status: RESOLVED in 47s
Incident Management
From detection to resolution — fully automated. Average time to resolve: 94 seconds.
Proactive Detection
Anomaly detection across metrics, logs, and traces. Alerts before users notice.
AI Root Cause Analysis
94% confidence diagnosis using ML models trained on millions of incidents.
AI War Room
Real-time collaborative incident bridge with AI providing live guidance.
Auto-Remediation
Safe, verified auto-fix actions: restart pods, rollback deploys, scale services.
Postmortems
AI-generated postmortems with timeline, root cause, and preventative actions.
Root Cause Analysis
ML-powered diagnosis with 94% confidence across infrastructure, code, and dependencies.
Every alert triggers a full RCA pipeline. The AI correlates signals across your entire topology — services, databases, cloud resources, and recent code changes — to identify root cause with high confidence.
Auto-Remediation
The killer feature. Alert → diagnose → fix → verify — all in under 94 seconds.
Observability
Full-stack visibility across metrics, logs, traces, and Kubernetes — all in one place.
Live Dashboards
Real-time health score, KPI cards, cost savings, and AI insights panel.
Log Intelligence
AI-powered log search, clustering, anomaly detection, and noise reduction.
Metrics & Traces
Prometheus-compatible metrics, distributed traces (OpenTelemetry), Tempo.
Kubernetes Monitoring
Pod health, deployments, namespaces, RBAC, events — any K8s cluster.
Alerting & On-Call
Smart alert routing to Slack, PagerDuty, Opsgenie, Teams with auto-escalation.
Log Intelligence
AI-powered log analysis that turns noise into insight.
Infravox ingests logs from Loki, ELK Stack, ClickHouse, CloudWatch, and GCP Logging. The Log Intelligence engine clusters similar log lines, detects anomalies in frequency or content, and surfaces the relevant context for each incident automatically.
// Example: AI surfaces the relevant log cluster automatically ERROR api-gateway db-connection-pool timeout (47 occurrences) WARN api-gateway upstream latency p99 = 3.4s INFO ai-sre-agent root cause identified — auto-fix queued
Git & Code Intelligence
AI-powered PR reviews, SAST scanning, and pipeline monitoring across all major Git platforms.
AI PR Reviews
Automated code review with security, performance, and quality feedback on every PR.
SAST Code Scanning
Static analysis for secrets, CVEs, injection flaws, and insecure patterns.
Pipeline Monitoring
CI/CD health, failure analysis, flaky test detection, build time trends.
GitHub
Actions, Advanced Security, Dependabot — full GitHub integration.
GitLab
CI pipelines, MRs, GitLab SAST, runner monitoring.
Bitbucket
Pipelines, pull requests, Bitbucket Cloud & Server.
Azure Repos
Azure DevOps PRs, pipelines, Azure Boards work-item linking.
SAST Code Scanning
Detect security issues before they hit production.
Every PR triggers a full static analysis scan. Results are posted as inline code comments with severity ratings, remediation guidance, and links to relevant CVE records.
Security
Continuous security posture management across your entire infrastructure and code.
Security Overview
Risk score dashboard, open findings, compliance status, trend charts.
RBAC & Policies
Audit Kubernetes RBAC, IAM roles, and access policies for over-permissions.
Compliance
Automated checks for SOC2, HIPAA, GDPR, ISO 27001, PCI-DSS, CIS Benchmarks.
Secret Scanning
Detect secrets committed to Git repos or present in running container envs.
IaC Security
Terraform, CloudFormation, Helm chart scanning for misconfigurations.
Compliance
Automated compliance checks across six major frameworks.
87 checks
64 checks
42 checks
114 checks
78 checks
200+ checks
Cost Optimization
The FinOps Agent identifies waste and saves teams $2K–$15K/month on average.
Cost Dashboard
Real-time cloud spend across AWS, Azure, and GCP with trend and forecast.
Rightsizing
CPU & memory rightsizing recommendations for EC2, AKS, GKE, and EKS nodes.
Idle Resource Cleanup
Detect and remove unattached EBS volumes, idle load balancers, unused IPs.
Budget Alerts
Set monthly budgets per service or team. Alert when projected spend exceeds.
Integrations
100+ native integrations. Connect your full stack in minutes.
How-To Guides
Step-by-step guides for setting up Infravox, connecting integrations, and getting autonomous in 30 minutes.
npm install -g @infravox/cliCLI docs Get Started with Infravox AI
Set up your autonomous AI SRE platform in under 30 minutes. No agents to install. No rip-and-replace.
Create your account
Sign up free with your Google Workspace or work email. No credit card required.
Connect your stack
Link your cloud provider, Kubernetes cluster, CI/CD pipelines, and alerting tools in minutes.
AI starts monitoring
Infravox AI agents begin watching your infrastructure 24/7 — logs, metrics, deployments, and security.
Get value on day one
Receive your first AI insight, cost saving opportunity, or incident resolution within hours of connecting.
Choose your plan
Start today
Free 7-day pilot. No credit card. Live in 30 minutes.
Sign up with your Google Workspace or work email. Start on Growth or Starter — no credit card required for the pilot.
See Infravox AI in action with a live walkthrough tailored to your infrastructure stack.
Ask questions, share feedback, get help from the team and other users. We're active daily.