A complete cloud-native infrastructure architecture. VPC networking, compute clusters, managed databases, object storage, CDN, and CI/CD pipelines - all mapped out.
VPC, subnets, security groups, load balancers, and DNS configuration.
Container clusters, serverless functions, auto-scaling, and spot instances.
Managed PostgreSQL/MySQL, Redis cache, and read replicas for performance.
Object storage (S3), block storage, and CDN distribution for static assets.
GitHub Actions/GitLab CI with automated testing, build, and deployment.
CloudWatch/Datadog for metrics, alerts, log aggregation, and dashboards.
Go from scattered cloud resources to a complete infrastructure diagram in three steps.
List your cloud services, regions, VPCs, compute instances, databases, and storage layers. Cybewave parses natural language or structured specs into infrastructure components that map directly to AWS, GCP, or Azure service icons and connection types.
The AI engine identifies dependencies between services, maps VPC peering, subnet routing, load balancer targets, and data flows across availability zones. It detects common cloud patterns like hub-and-spoke networking and auto-scaling groups automatically.
Export publication-quality architecture diagrams annotated with service names, ports, protocols, and cost tiers. Use them in Terraform reviews, AWS Well-Architected assessments, cloud migration proposals, or team onboarding documentation.
Every stage of cloud infrastructure management benefits from clear, current architecture diagrams.
Map on-premises systems to AWS, GCP, or Azure equivalents before cutover. Visualize what moves where, which services need refactoring, and where managed services replace custom infrastructure.
Diagram active-active or active-passive setups across regions. See replication topology, failover paths, and latency-sensitive routing rules at a glance before deploying globally.
Visualize resource allocation across cloud accounts. Spot over-provisioned instances, unused load balancers, and redundant NAT gateways before they drain your monthly budget.
Document network boundaries, security groups, IAM roles, and encryption layers. Auditors need clear diagrams showing data flow paths and access controls across every service boundary.
Create side-by-side architecture views for AWS vs GCP vs Azure proposals. Compare managed service equivalents, pricing tiers, and regional availability in a format stakeholders actually understand.
Map backup regions, RTO/RPO targets, replication lag, and failover triggers. Build a DR diagram the on-call team can actually follow at 3 AM when an entire availability zone goes dark.
Cloud infrastructure is invisible by default. Unlike physical servers you can walk up to and inspect, cloud resources exist as API calls and JSON configurations scattered across dozens of services. Without architecture diagrams, teams over-provision because they can't see what's already running, security gaps hide in misconfigured security groups nobody remembers creating, and new engineers spend weeks reverse-engineering what veteran engineers built from memory.
Diagramming your cloud architecture transforms tribal knowledge into shared understanding. When every VPC, subnet, and load balancer is visible on a single canvas, cost reviews become productive conversations instead of spreadsheet archaeology. Security audits shift from stressful document hunts to quick walk-throughs of labeled data flow paths. Onboarding accelerates because the system is visible, not buried in Terraform modules and CloudFormation templates.
The compounding value is even greater at scale. As your cloud footprint grows from one region to three, from ten services to fifty, the architecture diagram becomes the only artifact that shows the full picture. It's the difference between confident deployments and crossing your fingers every time someone modifies a networking rule or spins up a new service in production.
AI-designed cloud infrastructure with scaffolded code. Free to start.
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