⚡ TL;DR
- Deployment diagram tools are split into a few categories: general-purpose canvases with cloud shape libraries (Lucidchart, draw.io), and tools that generate the diagram from a model, a live account scan, or infrastructure-as-code (IcePanel, Cloudcraft, Brainboard).
- We looked at 5 tools across pricing, what they’re actually built for, and how well they support deployment diagrams.
- Which one’s right for you depends on whether you want a quick one-off picture or a deployment diagram that accurately reflects what’s actually running in production.
🚀 Let’s kick off
A deployment diagram is supposed to answer what software is running on what infrastructure. These diagrams are useful when planning a migration, scoping disaster recovery, or just trying to work out why a service keeps falling in a specific region.
The problem is that infrastructure changes constantly, and most deployment diagrams don’t. Someone draws it during a migration project, it’s accurate for about three weeks, and then it quietly rots on a wiki page while the real infrastructure moves on without it. We looked at 5 tools, from flexible drag-and-drop canvases to tools that generate diagrams directly from your infrastructure.
1️⃣ Lucidchart
Lucidchart is a solid choice for a deployment diagram if you’re comfortable redrawing it by hand when things update.
Pricing: Free plan (limited documents and shapes), Individual at $9/month, Team at $10/user/month (3-user minimum), Enterprise custom.
Best for: teams who want a familiar, flexible canvas for a deployment diagram and don’t need it tied to a broader architecture model.
Features include:
- AWS, Azure, and GCP icon libraries built in
- Real-time multi-user editing and commenting
- Integrations with Confluence, Jira, Slack, and Teams
- Data-linking to spreadsheets for basic auto-updating shapes
- AI-assisted diagram generation from text prompts
- Mermaid diagram-as-code support
The catch: Lucidchart is shape-based, not model-based. A deployment diagram here is its own standalone document, so when a service moves to a new region or a database gets swapped out, you have to remember every diagram that shows it and go update each one by hand.
2️⃣ IcePanel
IcePanel takes a different starting point: the deployment diagram isn’t a drawing, it’s a view generated from the same Model that holds your context, container, and component diagrams.
Pricing: Free plan (5 editors, up to 100 model objects, unlimited diagrams), Growth at $40/editor/month billed annually, Scale at $80/editor/month, Enterprise custom.
Best for: teams who already model their software in IcePanel and want deployment diagrams that stay accurate as infrastructure changes, instead of a separate drawing to maintain.
Features include:
- Nodes represented as Groups (e.g. “AWS us-west-2 VPC”) that your existing model objects nest inside, so the deployment view updates automatically when the model does
- Tags for deployment metadata like instance type, region, or environment, so you can show that detail without cluttering the diagram itself
- Flows to layer a backup or failover sequence over the static deployment view
- Model Viewer for a live, read-only view of every layer of the architecture, deployment included
- API/SDK and MCP for updating your model automatically
The catch: you get the most value once your software is actually modelled already, so a single throwaway sketch for a meeting isn’t really what this is built for. If you’re already keeping an architecture model, though, the deployment diagram comes along for free instead of being a separate thing to maintain.
3️⃣ Draw.io
Draw.io is free, open source under Apache 2.0, and is flexible enough to create deployment diagrams.
Pricing: Free forever, no sign-up required, for the standalone web and desktop app. A paid version exists separately as a Confluence/Jira marketplace app for teams who want it embedded in Atlassian tools.
Best for: anyone who wants a completely free, self-hostable general-purpose tool with solid cloud provider shape libraries and no account required.
Features include:
- Large official AWS, Azure, GCP, and Kubernetes icon sets
- Desktop app with local file storage, plus a browser version
- VS Code and GitHub integration for keeping diagrams next to code
- Embeddable diagrams via iframe
- No feature gating between free and paid versions of the core app
The catch: it has the same limitation as Lucidchart, just at a better price. There’s no underlying model, so a Draw.io deployment diagram only reflects the infrastructure as it existed the day you drew it.
4️⃣ Cloudcraft (by Datadog)
Cloudcraft is built specifically for AWS and Azure, and its standout feature is that it doesn’t ask you to draw your infrastructure at all, it can scan your live account and generate the diagram from what’s actually deployed.
Pricing: Free plan (single user, limited to a 12x15 component canvas), Pro at $40.83/user/month billed annually ($99/month billed monthly), Enterprise at $100/user/month billed annually.
Best for: AWS- or Azure-heavy teams who want a deployment diagram that also functions as a live cost estimate.
Features include:
- Live scan of your AWS/Azure account to auto-generate an accurate diagram
- Real-time cost calculations per resource, exportable to Excel/CSV
- Isometric-style cloud architecture visuals
- 30 to 90 days of version history, depending on plan
- SAML 2.0 SSO on the Enterprise plan
The catch: Cloudcraft models cloud infrastructure, not your software systems. It’ll show you every EC2 instance and RDS cluster in accurate, up-to-date detail, but it won’t tell you which containers or components are actually running on them, so you’ll need another tool for modelling application views.
5️⃣ Brainboard
With Brainboard, instead of drawing a deployment diagram to describe infrastructure, you design the diagram, and it generates the Terraform to actually build the thing.
Pricing: Free plan (unlimited architectures and Terraform generation), Pro at $99/user/month ($999/user/year), Enterprise custom.
Best for: cloud architects and DevOps teams who want their deployment diagram and their infrastructure-as-code to be the same artifact instead of two things that drift apart.
Features include:
- Visual designer across AWS, Azure, GCP, OCI, and Scaleway that generates production-ready Terraform/OpenTofu as you build
- Drift detection between what’s designed and what’s actually deployed
- Git integration and an embedded CI/CD pipeline for applying changes
- Native architecture versioning and RBAC on the Pro plan
- Import from existing AWS/Azure accounts on Enterprise (priced per resource)
The catch: Brainboard is built around infrastructure provisioning, so it’s a strong fit if you’re managing the infrastructure itself, but it doesn’t model your software systems and components the way a C4 model does. The diagram describes what Terraform builds, not what your services do.
🏁 To wrap up
- If you want a familiar, flexible canvas and don’t mind manually keeping the diagram up to date, Lucidchart or Draw.io will feel comfortable, and Draw.io won’t cost you anything.
- If your infrastructure is almost entirely AWS or Azure and you want the diagram generated from what’s actually running, Cloudcraft is built specifically for that.
- If you want the diagram to double as the source for your Terraform, Brainboard closes that loop for you.
- If you want your deployment diagram to stay accurate as your system evolves, without redrawing it by hand every time something moves, IcePanel is a good option because it’s not a separate drawing, it’s a view of the same model as everything else you’ve mapped.
