DominoHub maps dependencies across your services using the Impact Graph — showing how changes propagate through your system so you can see exactly what's affected before anything goes wrong.
System visibility
See what your change actually impacts — before it reaches production.
DominoHub maps dependencies across your system and shows how changes propagate — so you can see exactly what's affected before anything goes wrong.
Visualise how services connect across your system and understand how changes propagate.
Follow how a single change propagates through your architecture — before it reaches production.
PostgreSQL sits on the critical path for two high-risk callers with no isolation.
Add a read replica for PostgreSQL or isolate Payment writes.
PostgreSQL has no failover replica.
Surface high-risk dependencies and fragile paths across your system.
Ship knowing every dependency has been checked and verified.
The hidden tax
The tax gets paid in the post-mortem, in the rollback, in the Slack thread that ends with “nobody realised this depended on that.” It doesn't show up on an invoice. It compounds every sprint and every deploy — whether you're reading it or not.
Of senior time burned rebuilding what your runtime already knows
Every change to a shared service kicks off another round. Engineers grep the repo, page the owner, and rebuild the graph from tribal memory. It goes stale before the sprint closes.
Of post-mortems name a dependency nobody had mapped
Every quarter, the post-mortem ends with the same line: “we didn't know X depended on Y.” The graph exists. It's in your traces, your infra, your monitoring. It just isn't live. Isn't shared. Isn't trusted.
Longer MTTR when blast radius is unknown
Without a live dependency map, on-call reconstructs the graph during the outage — not before it. Every minute spent mapping is a minute the business is down.
These aren't edge cases — they're the default when dependency knowledge lives in grep history and Slack threads instead of a live, shared map.
The Platform
DominoHub builds your dependency graph from the systems you already run — version control, infrastructure, and production traces. The result is a live model you can query, diff, and pre-flight any change against.
One live, version-controlled model of your system — derived from code, infrastructure and production traces. Queryable like data, diffable like code.
Point at any service, endpoint, or schema. DominoHub returns the full transitive impact with owners, critical paths, and prior incidents on shared routes.
Who owns what, kept in step with the graph. When services change hands or people change roles, the ledger updates itself — no archaeology during a P0.
Every change gets an impact review before merge. Affected services, owners to notify, schema-break detection, and prior-incident signal — attached to the PR, exportable to audit.
How it works
DominoHub plugs into what you already run, derives a live graph, and attaches impact context to the PR, the deploy, and the incident review. No agents. No schemas to maintain.
DominoHub reads from the systems of record your stack already has — version control, orchestration, traces, and alerting. No agents to deploy, no schemas to maintain, and nothing to keep in sync when the architecture changes.
The Impact Graph assembles itself: services, endpoints, stores, queues, and the paths between them. Updated on every commit and deploy — the map is never a slide someone has to maintain.
Point at any endpoint, schema, or deploy candidate. DominoHub returns the transitive impact with owners, critical paths, and the routes that have broken before — in milliseconds.
Attach the impact review to your PR gate, deploy pipeline, or change board. Every merge arrives with an attributable, exportable record of what it was expected to touch — before it touched anything.
Where it matters
Four recurring moments in an engineering organisation where having the live graph changes what ships, how fast teams recover, and whether decisions survive the quarter.
A pull request opens. Before merge, DominoHub attaches the transitive impact — affected services, owners to notify, critical-path flags — in under a second. The review happens on the PR, not in production.
A pull request opens. Before merge, DominoHub attaches the transitive impact — affected services, owners to notify, critical-path flags — in under a second. The review happens on the PR, not in production.
When a service begins to degrade, on-call opens the live graph first — not Slack. Downstream services, owners to page, and shared paths with a history of failure surface immediately. Reconstruction happens after the incident, not during it.
Instead of chasing owners in Slack or reading stale wikis, new hires open the live graph and ask it what they need to know — who owns what, what calls what, where the shared paths are. Day one looks like day ninety.
Load a proposed change into DominoHub and diff it against the live graph. New dependencies, orphaned services, SLO implications, and governance blockers become visible before a single line of code moves.
Outcomes · Quarterly review
Five compounding effects across velocity, reliability, onboarding, architecture, and audit readiness — the numbers a VP of Engineering brings to the quarterly review.
Your stack. Your graph. Your blast radius — before it becomes an incident. Invite-only for now, onboarded 1:1 with the people who built it.