Infrastructure topology, CI/CD pipelines, and deployment architecture — diagrammed as code, version-controlled in Git, generated by AI.
Architecture diagrams that fit your infrastructure workflow.
Map VPCs, subnets, load balancers, and services. See how your infrastructure connects at a glance.
Visualize build, test, deploy stages. Map gates, approvals, rollback flows, and environment promotions.
Document blue-green, canary, and rolling deployments. Show how services move from staging to production.
Store diagrams alongside Terraform and CloudFormation. Infrastructure and its documentation evolve together.
Describe your infrastructure in English. Cybewave generates Mermaid or PlantUML code instantly.
Document runbooks and escalation flows as diagrams. During incidents, everyone sees the same picture.
From infrastructure description to architecture diagram in three steps.
Tell the AI about your cloud setup, container orchestration, CI/CD pipeline, and monitoring stack. Mention your tools — Kubernetes, Terraform, GitHub Actions, ArgoCD — and it generates diagrams tailored to your stack.
Cybewave produces deployment topology diagrams showing your servers, containers, load balancers, and networking. It also generates CI/CD pipeline flowcharts and infrastructure dependency maps in Mermaid or PlantUML.
Commit the generated diagram code to the same repository as your Terraform, Helm charts, or Pulumi code. Architecture diagrams evolve with your infrastructure definitions and stay current through every deployment.
Real scenarios where infrastructure diagrams prevent outages and accelerate deployments.
When moving from on-premise to AWS, GCP, or Azure, diagram both the current state and the target architecture. Map which services move first, where data flows change, and what temporary bridges are needed during the transition. These diagrams become the migration runbook.
Visualize your namespaces, services, ingress controllers, and persistent volumes across clusters. When troubleshooting networking issues or planning capacity, a topology diagram shows the full picture that kubectl alone cannot provide.
Complex pipelines with build, test, staging, and production stages across multiple environments are hard to reason about from YAML alone. A flowchart showing the full pipeline — including approval gates, rollback paths, and parallel stages — helps the team understand deployment flow.
Document your multi-region failover architecture with diagrams showing primary and secondary regions, data replication paths, DNS failover configuration, and recovery time objectives. When an incident hits, the team follows the diagram instead of improvising.
Map network boundaries, firewall rules, VPN tunnels, and service mesh policies visually. Security auditors and compliance teams need to see data flow paths and trust boundaries — a diagram communicates this faster than reading Terraform state files.
Before a product launch or seasonal traffic spike, diagram the current infrastructure alongside the scaled version. Show where auto-scaling groups, additional database replicas, and CDN edge locations need to be added. Present the before/after to stakeholders for budget approval.
Infrastructure changes faster than any other part of a software system. A Terraform apply can spin up new services, rewrite networking rules, or migrate databases in minutes. But the architecture diagrams that document this infrastructure? They're usually a screenshot from three months ago sitting in a Confluence page nobody maintains.
This gap between actual infrastructure and documented infrastructure creates real problems. Incident response slows down when the on-call engineer's mental model doesn't match reality. Security audits stall when compliance teams can't verify data flow paths. New DevOps engineers spend weeks building context that a current diagram would provide in minutes.
Code-based diagrams solve this by treating architecture documentation the same way you treat infrastructure — as code. When a Terraform change adds a new service, the corresponding Mermaid diagram is updated in the same PR. When a Kubernetes namespace is restructured, the topology diagram changes alongside the Helm chart. The documentation is always as current as the infrastructure it describes.
Free to start. 50 AI credits/month. No credit card required.
Get started for free →