Features

One AI engineer. Every DevOps discipline.

Six capabilities, one conversational interface. Each gets smarter the more you use it.

Infrastructure Provisioning

Terraform, generated and validated — via conversation

Describe what you need in plain English. DevOps Genie generates production-grade Terraform, validates it against your repo conventions, runs security scans, estimates costs, and creates a PR — all in one turn.

• Multi-file Terraform changes (main.tf + tfvars + variables.tf)
• Confidence scoring with breakdown (syntax, security, pattern, cost)
• Learns your module conventions over time
• Human-in-the-loop — review PR before merge
• Cost estimation via infracost

terraform plan

$ terraform plan

+ aws_elasticache_replication_group.redis_dev
    engine               = "redis"
    node_type            = "cache.r6g.large"
    num_cache_clusters   = 2

Plan: 1 to add, 0 to change, 0 to destroy.

✓ Security scan passed (tfsec)

✓ Estimated cost: $45/mo (infracost)

✓ Pattern match: 94% confidence

Kubernetes Deployment

Deploy apps to Kubernetes without writing YAML by hand

DevOps Genie generates Kubernetes manifests, Kustomize overlays for multi-environment setups, and ArgoCD ApplicationSets — then creates a PR for review.

• Base manifests + per-environment overlays (dev/staging/prod)
• ArgoCD integration with ApplicationSets
• Scale, update images, add env vars conversationally
• kubeconform validation before PR

Conversation Example

You:"Deploy payment-service to dev and prod, 3 replicas, port 8080"

Genie:"Container image URL?"

You:"ghcr.io/acme/payment-service:latest"

Genie:"Created 8 files — base manifests, dev/prod overlays, ArgoCD app. PR #51 ready for review."

Incident Investigation

Root cause analysis in minutes, not hours

The SRE agent investigates across Kubernetes, logs (Loki), metrics (Prometheus), and deployment history (ArgoCD) — then synthesizes a structured RCA report.

• Multi-tool correlation (K8s + logs + metrics + deploys)
• Structured RCA with timeline and evidence
• Health checks for pods, nodes, and deployments
• Suggested remediation with optional auto-fix PR

Conversation Example

You:"The checkout API is returning 500 errors since 3pm"

Genie:"Investigating..."

Root Cause Analysis

Database connection pool exhausted (max_connections: 20, active: 20). Triggered by deploy at 2:47pm — new query pattern.

Fix: increase pool to 50 or optimize the N+1 query in /checkout

Security & Compliance

12+ compliance frameworks. Automated scanning. AI-powered fixes.

Continuous scanning across AWS, GCP, and Azure. Findings mapped to SOC2, HIPAA, PCI-DSS, GDPR, NIST, FedRAMP, and more. Auto-remediation generates fix PRs with confidence scores.

• Finding lifecycle: detect → triage → fix → verify on next scan
• Compliance scoring and exportable audit evidence
• Severity-aware triage (critical/high/medium/low)
• Acknowledged and accepted-risk states for exceptions
• SOC2 evidence collection (Enterprise)

SOC2 Compliance78%

S3 bucket 'acme-uploads' public access enabled

AWS · us-east-1Auto-fix available

RDS instance 'prod-db' unencrypted at rest

AWS · us-east-1

IAM policy allows wildcard actions on S3

AWS · globalAuto-fix available

Cost Optimization

Know where every dollar goes. Cut what's wasted.

Spend breakdown by service, anomaly detection, idle resource identification, and right-sizing recommendations — all queryable through the engineer.

• Monthly spend overview by service and resource
• Trend analysis and spike detection
• Over-provisioned resource identification
• Reserved instance recommendations

Conversation Example

You:"Why did my AWS bill spike 30% this month?"

Genie:"Two factors:"

1. NAT Gateway data transfer doubled ($340 → $680) — likely the new video upload feature

2. Dev cluster ran 24/7 this month instead of scaling to zero overnight (+$220)

Potential savings: $440/mo

Workflow Automation

Automate the runbooks you keep forgetting to run

Pre-built workflow templates for common DevOps tasks, plus a custom builder for your own. Schedule daily, chain together, get notified via Slack.

• Pre-built library: security audit, cost optimizer, incident response, deploy pipeline, and more
• Custom workflow builder (describe in natural language)
• Cron-based scheduling (hourly/daily/weekly)
• Workflow chaining — output of A triggers B
• Slack/email notifications on completion

Weekly Security Audit

Scan All Accounts

Every Monday 9 AM

Filter Critical/High

Severity triage

Generate Report

PDF + CSV export

Slack #security

Auto-notify team

Scan All Accounts

Every Monday 9 AM

Filter Critical/High

Severity triage

Generate Report

PDF + CSV export

Slack #security

Auto-notify team

Active — next run in 3 days

See it in action —
try a real prompt today.

Free tier. No credit card. Results in your first conversation.

Get Started Free Book a Demo

Terraform, generated and validated — via conversation

• Multi-file Terraform changes (main.tf + tfvars + variables.tf)

• Confidence scoring with breakdown (syntax, security, pattern, cost)

• Learns your module conventions over time

• Human-in-the-loop — review PR before merge

• Cost estimation via infracost

$ terraform plan + aws_elasticache_replication_group.redis_dev engine = "redis" node_type = "cache.r6g.large" num_cache_clusters = 2 Plan: 1 to add, 0 to change, 0 to destroy.

Deploy apps to Kubernetes without writing YAML by hand

DevOps Genie generates Kubernetes manifests, Kustomize overlays for multi-environment setups, and ArgoCD ApplicationSets — then creates a PR for review.

• Base manifests + per-environment overlays (dev/staging/prod)

• ArgoCD integration with ApplicationSets

• Scale, update images, add env vars conversationally

• kubeconform validation before PR

Root cause analysis in minutes, not hours

The SRE agent investigates across Kubernetes, logs (Loki), metrics (Prometheus), and deployment history (ArgoCD) — then synthesizes a structured RCA report.

• Multi-tool correlation (K8s + logs + metrics + deploys)

• Structured RCA with timeline and evidence

• Health checks for pods, nodes, and deployments

• Suggested remediation with optional auto-fix PR

12+ compliance frameworks. Automated scanning. AI-powered fixes.

Continuous scanning across AWS, GCP, and Azure. Findings mapped to SOC2, HIPAA, PCI-DSS, GDPR, NIST, FedRAMP, and more. Auto-remediation generates fix PRs with confidence scores.

• Finding lifecycle: detect → triage → fix → verify on next scan

• Compliance scoring and exportable audit evidence

• Severity-aware triage (critical/high/medium/low)

• Acknowledged and accepted-risk states for exceptions

• SOC2 evidence collection (Enterprise)

Know where every dollar goes. Cut what's wasted.

Spend breakdown by service, anomaly detection, idle resource identification, and right-sizing recommendations — all queryable through the engineer.

• Monthly spend overview by service and resource

• Trend analysis and spike detection

• Over-provisioned resource identification

• Reserved instance recommendations

Automate the runbooks you keep forgetting to run

Pre-built workflow templates for common DevOps tasks, plus a custom builder for your own. Schedule daily, chain together, get notified via Slack.

• Pre-built library: security audit, cost optimizer, incident response, deploy pipeline, and more

• Custom workflow builder (describe in natural language)

• Cron-based scheduling (hourly/daily/weekly)

• Workflow chaining — output of A triggers B

• Slack/email notifications on completion

One AI engineer. Every DevOps discipline.

Terraform, generated and validated — via conversation

Deploy apps to Kubernetes without writing YAML by hand

Root cause analysis in minutes, not hours

12+ compliance frameworks. Automated scanning. AI-powered fixes.

Know where every dollar goes. Cut what's wasted.

Automate the runbooks you keep forgetting to run

See it in action — try a real prompt today.

One AI engineer. Every DevOps discipline.

Terraform, generated and validated — via conversation

Deploy apps to Kubernetes without writing YAML by hand

Root cause analysis in minutes, not hours

12+ compliance frameworks. Automated scanning. AI-powered fixes.

Know where every dollar goes. Cut what's wasted.

Automate the runbooks you keep forgetting to run

See it in action — try a real prompt today.

See it in action —
try a real prompt today.

See it in action —
try a real prompt today.