Discover entities
Collect services, resources, data stores, repositories, pipelines, flags, regions, teams, and customer entities from connected sources.
Live production relationship model
Dependency MappingMap the real blast radius behind every change.
Connect runtime, delivery, ownership, infrastructure, regional, and customer relationships so teams can see where a change may propagate before production exposure begins.
Continuously refreshed from connected systems and explicit ownership data.Checkout Web→API Gateway→Payment Service→PostgreSQL
The problem
Architecture diagrams go stale faster than production changes.
A repository map does not show runtime calls. A cloud inventory does not show business ownership. A service catalog does not show which tenants use a path. Without these relationships, teams underestimate blast radius and contact the wrong responders.
Why existing approaches fail
Each tool sees only one type of relationship.
- Tracing can reveal observed calls but misses dormant, batch, or deployment dependencies.
- CMDB records often lack release and customer context.
- Cloud resource graphs stop at account or service boundaries.
- Manual diagrams rarely match the artifact currently moving to production.
The ReleaseAtlas solution
Merge discovered, declared, and operational relationships into a versioned production graph, then traverse that graph from every change to its systems, owners, regions, and customer exposure.
How it works
Build context from evidence—not a one-time diagram.
Resolve relationships
Combine runtime telemetry, infrastructure definitions, deployment metadata, ownership catalogs, and explicit mappings with provenance.
Traverse change impact
Start with the changed entity, follow relevant upstream and downstream paths, rank exposure, and explain how each affected node is connected.
Key capabilities
One graph across technical and business boundaries.
Services
Map service calls, criticality, versions, environments, health, and ownership.
APIs
Connect routes, consumers, providers, gateways, versions, and authentication boundaries.
Databases
Associate schemas, tables, migrations, writers, readers, replicas, and data sensitivity.
AWS resources
Relate compute, network, IAM, storage, queues, functions, databases, and accounts.
Repositories
Connect source, owners, artifacts, services, configuration, and recent production changes.
Pipelines
Trace build and delivery workflows to the environments and resources they modify.
Teams
Overlay accountable service, platform, data, security, and business owners on affected paths.
Customers
Connect tenant routes, plans, features, environments, and business journeys to technical nodes.
Regions
Represent deployment scope, residency, failover relationships, and regional customer exposure.
Feature flags
Map flag targets, code paths, services, customer cohorts, environments, and release stages.
Technical workflow
Preserve relationship provenance and freshness.
Every edge records its source, confidence, scope, and last observation. Teams can review conflicts, add authoritative mappings, and distinguish observed runtime paths from declared deployment or ownership relationships.
Source entities→Identity resolution→Versioned graph→Blast radius
An IAM policy change reaches a customer-facing path.
A Terraform plan modifies an execution role used by a billing worker. The graph connects the role to the worker, its queue, Payment Service, invoice records, an enterprise-only feature flag, two regions, and 14 affected tenants.
ReleaseAtlas identifies the Data Platform and Payments owners, raises the dependency complexity factor, and recommends a tenant-limited rollout with queue-depth and invoice-generation checks.
Expected operational outcomes
Impact analysis that engineering teams can act on.
- Find affected services, resources, owners, and customers from one changed entity.
- Reduce dependency discovery during incident response and release review.
- Explain why a system appears inside the calculated blast radius.
- Improve risk, rollout, rollback, and audit decisions with shared context.
Graph completeness depends on connected sources, entity resolution, and maintained ownership data.
Security notes
Collect relationships with least-privilege access.
Use read-only inventory, metadata, tracing, and catalog connections where possible. Limit tenant and customer attributes to the identifiers required for impact analysis, apply workspace isolation and role-based graph access, and configure retention for historical relationship snapshots.
Explore security controls →Related services
Change Risk Analysis
Use graph complexity and exposure in the release score.
Infrastructure Tracking
Connect cloud resources and drift to runtime context.
Customer Impact Analysis
Extend technical paths to tenant and revenue exposure.
FAQ
Dependency mapping questions.
How does ReleaseAtlas discover dependencies?
It can combine cloud and Kubernetes inventory, Terraform, repositories, pipelines, runtime telemetry, service catalogs, database metadata, feature flags, ownership systems, and explicit mappings.
Is the dependency graph the same as distributed tracing?
No. Tracing is one useful source for observed runtime calls. ReleaseAtlas also models deployment, infrastructure, data, ownership, regional, feature, and customer relationships that tracing alone does not cover.
Can teams correct or override a relationship?
Yes. Authoritative mappings can be added with ownership and provenance. Conflicting evidence can be reviewed without erasing its original source.
How is blast radius calculated?
ReleaseAtlas traverses relevant relationship types from changed entities, then considers path depth, service criticality, shared resources, customer exposure, regional scope, and policy. Results explain the supporting paths.
Production context connected
See where a change can travel before it is released.
Map services, APIs, data, cloud resources, delivery systems, teams, regions, flags, and customers in one production graph.