Your Monolith Reality
Shared DB • Shared Releases • Shared Risk
Modernization Patterns Used in Real Production
Smaller services, safer deploys, faster iteration.
Strangler routing + incremental extraction.
Policy gates, SBOMs, scans, and audit trails.
Modernize incrementally—keep the business running.
Most modernization fails because teams cut code without fixing domain boundaries, data coupling, and release governance. We de-couple services with safe routing, data migration patterns, and delivery controls—so shipping gets easier over time.
What most teams accidentally ship:
“Microservices” that share tables and deploy together.
Traffic cutovers done in one shot with high risk.
No policy controls, no SBOM, no repeatable release safety.
Production-grade modernization:
Bounded contexts, API contracts, and integration discipline.
Incremental traffic shifting with observability and rollback.
Policy gates, scans, SBOMs, and audit trails for every release.
Smaller Changes. Safer Releases. Faster Teams.
Turning a monolith into modular delivery units—without operational chaos.
Identify seams, slice bounded contexts, and extract services with clear contracts.
Traffic routing patterns for incremental cutovers with rollback safety.
Break database coupling using migration patterns aligned with service boundaries.
Reduce synchronous dependencies with events, queues, and reliable messaging patterns.
Secure-by-default pipelines with policy gates and audit trails for modernization releases.
Logs, metrics, traces, and SLOs so you can cut over confidently.
We design: boundaries → routing → data patterns → governance → observability—so extraction stays safe.
Architecture Integrity
Domain mapping, bounded contexts, and API contracts that prevent “distributed monolith” outcomes.
Zero Downtime
Strangler routing, feature flags, and canary rollouts to migrate safely in production.
Safe Migration
Patterns like outbox/CDC, anti-corruption layers, and schema independence to avoid cross-service coupling.
Release Safety
Policy-as-code, secure delivery, and audit trails so modernization doesn’t weaken risk posture.
We deploy the Coretus De-Coupling Kernel™—a pre-hardened foundation for boundary mapping, routing, data de-coupling patterns, and DevSecOps governance.
Your teams focus on service logic and business outcomes, not re-building migration scaffolding.
Shared DB • Shared Releases • Shared Risk
Integrated units specialized in boundary mapping, extraction, migration safety, and DevSecOps governance—so you modernize continuously, not chaotically.
Maps bounded contexts, contracts, and migration order so extraction reduces complexity—not relocates it.
Implements strangler routing, flags, canaries, and rollback strategy for safe production migrations.
Pods arrive with patterns, checklists, pipeline gates, and observability hooks—built-in from day one.
Designs CDC/outbox patterns, schema boundaries, and safe migration sequencing for de-coupled data.
Embeds policy gates, SBOMs, scans, and approvals so modernization improves risk posture.
De-coupling is a system: boundaries, routing, data patterns, delivery gates, and observability—engineered to keep production stable.
DDD contexts, contracts, and extraction order to reduce coupling safely.
Strangler patterns, feature flags, and canaries for gradual production cutovers.
Independent deployable services with repeatable pipelines and operational ownership.
Policy gates, SBOMs, scans, logs, metrics, and traces for controlled evolution.
A phased model that avoids brittleness: boundaries, routing, data de-coupling, then scale.
Map domains, coupling hotspots, integration surfaces, and success metrics for extraction.
Design strangler routing, flags, canaries, and rollback plans before any service extraction.
Extract services, implement CDC/outbox, and separate schemas for true independence.
Add policy gates, SBOMs, SLOs, and observability to scale modernization safely.
A monolith forced coordinated deployments and high-risk releases.
Introduced routing cutovers + extracted services with DevSecOps gates and observability.
"We stopped fearing deployments—smaller services made releases routine, not risky."
Releases were blocked by shared dependencies and brittle cutovers.
Shipped strangler routing + canaries with rollback and measurable service extraction milestones.
"Traffic shifting let us modernize continuously—without business downtime."
A fast breakdown of boundaries, routing cutovers, data patterns, and governance to safely de-couple the monolith.
DDD contexts + contracts that reduce coupling.
Strangler patterns + canaries + rollback safety.
Policy gates, SBOMs, and release audit trails.
We start with boundaries + contracts, then enforce schema independence and integration discipline.
Yes—strangler routing, canaries, feature flags, and rollback paths are designed before extraction.
We use CDC/outbox, anti-corruption layers, and migration sequencing aligned with service boundaries.
Every release ships with policy gates, scanning, SBOMs, and audit trails—built into the pipeline.
We establish observability baselines and SLOs so traffic shifts are measurable and reversible.
We can deliver a rapid feasibility + boundary audit to identify the first 3 extraction candidates and cutover plan.
Request De-Coupling BriefingStop betting the company on a rewrite. We decompose monoliths with domain boundaries, strangler patterns, and DevSecOps guardrails—so you ship faster without breaking production.
Incremental (No Big-Bang Rewrite)
Zero-Downtime Migration Paths
Security + Governance Built-In