The Infrastructure Velocity Problem
Every team hits these bottlenecks. They're not edge cases—they're architecture.
Lock Contention
Global state locks block everyone while one person plans a single resource.
Full State Refresh
Every plan refreshes all resources even when changing just one.
Terragrunt Slowdown
External orchestration across 100+ modules creates 15x slowdown.
CI/CD Serialization
Pipelines serialize deployments to avoid state conflicts.
The Speed Difference
Same infrastructure. Same change. Dramatically different wait time.
Performance at scale: 20,000 resources imported in 3 seconds. Queries complete in under 5 seconds even for pathological cases.
What Makes Velocity Fast
Subgraph Execution
Only process resources affected by your change. The dependency graph tells us exactly which resources need to be evaluated—skip the rest.
Parallel Operations
When changes don't overlap, run them simultaneously. Multiple teams can work on the same codebase without waiting in a queue.
Resource-Level Locking
Lock only what you need. No more global state locks that block everyone while one person runs a plan on a single resource.
Incremental Refresh
Refresh only changed resources, not the entire state. For large deployments, this means seconds instead of minutes.
SQL-Queryable State
Your infrastructure state lives in PostgreSQL. Query it directly, build dashboards, integrate with your existing tools.
Drop-in CLI
Replace `terraform` with `stategraph`. Same commands, same workflow, dramatically faster execution.
How It Works
Traditional Backend
- ❌ Load entire JSON file
- ❌ Lock all resources globally
- ❌ Refresh everything serially
- ❌ One operation at a time
Stategraph Velocity
- ✅ Query only affected subgraph
- ✅ Lock only changed resources
- ✅ Refresh incrementally
- ✅ Parallel operations on independent resources
The key insight: When you run a plan, Stategraph computes the minimal "change cone"—only the resources affected by your changes. Independent subgraphs can execute in parallel, with resource-level locks that don't block unrelated work.
Multi-State Transactions
One plan. One apply. All your states.
Most teams split infrastructure across multiple states for organization. But changes that cross state boundaries require multiple rounds of plan and apply. Nobody likes waiting through sequential orchestration.
Sequential Orchestration
4 operations
Sequential, incomplete visibility
Multi-State Transaction
txn_abc123
1 operation
Atomic, complete visibility
Why It Matters
True Blast Radius
See actual impact across all states in one plan
No Orchestration
No multi-step workflows or sequential waits
Keep Your Structure
Organize code however makes sense
Example: Change a VPC in state A that state B depends on. One unified plan shows the full impact across both states. One apply executes everything atomically.
Large Infrastructure Is Natural. File Storage Isn't.
A VPC with thousands of resources and dependency edges isn't poor design—it's reality. Infrastructure is interconnected. The problem isn't the size. It's storing it as a flat file.
Interconnected Infrastructure
Traditional Workaround
- ❌ Split into 127 modules
- ❌ External orchestration
- ❌ Manual dependency wiring
- ❌ 15x performance penalty
The Stategraph Solution
Fast parallel plan/apply for Terraform. Schedule an activation call to get started.