Microservices Decomposition
Decompose monoliths into governed microservices, safely.
Break monolithic applications into well-bounded microservices with autonomous planning, execution, and validation. Helix manages the complexity of service extraction so your team focuses on domain decisions.
The Challenge
Monolith-to-microservices is one of the hardest migrations
Decomposing a monolith requires deep understanding of domain boundaries, data ownership, and communication patterns. Most teams underestimate the complexity and end up with a distributed monolith.
Service boundaries are drawn incorrectly, causing tight coupling
Data consistency across services becomes unmanageable
Teams lack tooling to safely extract and validate individual services
The migration stalls halfway, leaving a hybrid worse than the monolith
The Helix Approach
Intelligent, governed service extraction
Helix analyzes your monolith's domain boundaries, data access patterns, and call graphs to recommend optimal service decomposition. Each extraction is generated, tested, and validated autonomously.
Domain Boundary Analysis
Helix maps your monolith's modules, data flows, and coupling points to identify natural service boundaries.
Safe Service Extraction
Each service is extracted with adapters, data migration scripts, and backward-compatible APIs to prevent disruption.
Communication Pattern Design
Generates appropriate inter-service communication: sync, async, event-driven — based on domain requirements.
Incremental Validation
Each extraction step is validated against the monolith to ensure behavioral equivalence before cutover.
How it works
A governed, traceable flow from start to finish.
Monolith Analysis
Helix scans your codebase to map domain boundaries, data ownership, and module coupling.
Decomposition Plan
Generates a phased extraction plan with recommended service boundaries and migration ordering.
Service Extraction
Each service is autonomously extracted with adapters, tests, and data migration scripts.
Validate & Cutover
Behavioral validation confirms parity. Traffic is shifted incrementally with automated rollback.
Expected Outcomes
60%
Faster decomposition timelines
Zero
Distributed monolith patterns
Full
Behavioral validation at each step
Clean
Service boundaries from day one
Decompose your monolith with Helix
See how Team Helix transforms this workflow for your organization.