Microservices that
Scale Without Fragility.

Move beyond “just split the monolith.” We design domain-aligned services with stable contracts, event-driven workflows, and platform-grade observability—so your releases get faster and your ops get calmer.

Request Scoping

DDD Boundaries

Resilient Flows

Governed Operations

Platform Teams Trust Coretus for Production Microservices

3.2x
Release Frequency

Smaller blast radius, faster delivery.

60%
Incident Reduction

Resilience patterns + observability.

99.95%
Platform Availability

SLOs, retries, timeouts, and fallbacks.

$0.
Vendor Lock-In

Open patterns, portable deployments.

Beyond the Monolith Split.
Production, Not a Service Zoo.

Microservices fail when teams ship unclear boundaries, chatty dependencies, and no ops standards. We engineer the architecture, contracts, and platform foundations so it works on Day 2.

The Microservices Failure Pattern

What most teams accidentally create:

  • Boundary Confusion

    Services overlap domains; ownership is unclear and changes cascade.

  • Distributed Monolith

    Sync calls everywhere, brittle coupling, and latency dominoes.

  • No Operating Model

    Missing SLOs, tracing, runbooks, and governance standards.

The Coretus Microservices Standard

Platform-grade microservices:

  • DDD-First Decomposition

    Domain maps, bounded contexts, and ownership boundaries that hold under growth.

  • Contracts + Async-by-Default

    Versioned APIs, schemas, eventing, and safe evolution paths.

  • Observability + SRE Operating Model

    Tracing, logs, metrics, SLOs, and runbooks embedded from day one.

Less Coupling. More Shipping.

Strategic Capabilities.

From single releases to continuous delivery at scale.

Domain Decomposition (DDD)

Bounded contexts, service boundaries, and team ownership models that survive growth.

  • Context Mapping
  • Ownership Lines

Service Contracts

Versioned APIs, schemas, backward-compatibility rules, and safe evolution patterns.

  • Schema Governance
  • Consumer-Driven Testing

Event-Driven Workflows

Async patterns that reduce coupling: events, sagas, outbox, and idempotent handlers.

  • Sagas + Orchestration
  • Exactly-Once Mindset

Gateway + Routing

API gateway patterns, rate limiting, auth, and traffic shaping without killing velocity.

  • Zero-Trust Gate
  • Traffic Policies

Resilience + SRE

Timeouts, retries, bulkheads, circuit breakers, and SLO-driven reliability.

  • SLOs + Error Budgets
  • Runbooks + On-Call

Observability

Tracing, metrics, logs, dashboards, and alert design for distributed systems.

  • Distributed Tracing
  • Golden Signals
/// Microservices Foundations

Hardened Platform for
Distributed Delivery.

Service Boundaries

Domain Integrity

Context mapping, domain ownership, and service responsibilities that reduce coordination load.

Bounded Context Map
Team Ownership Lines
Anti-Corruption Layers
DDDContextsOwnership

Contracts + Messaging

Safe Evolution

Versioned APIs, event schemas, idempotency, and outbox patterns for reliable workflows.

Schema Versioning
Outbox Pattern
Idempotent Consumers
EventsSchemasAsync

Resilience Patterns

Failure Containment

Timeouts, retries, circuit breakers, bulkheads, and graceful degradation with SLO discipline.

Circuit Breakers
Backpressure + Queues
Graceful Degradation
SLOsRetriesFallbacks

Observability

Trace + Operate

Metrics, logs, traces, dashboards, and alerts designed for distributed systems and fast diagnosis.

Distributed Tracing
Golden Signals
Runbooks + Alerts
TracesMetricsAlerts
/// Microservices Accelerator

Decompose Safely.
Ship Continuously.

We deploy the Coretus Microservices Kernel™—a pre-hardened foundation for boundaries, contracts, resilience patterns, and observability standards.

Your teams focus on product outcomes and delivery velocity, not rebuilding the platform playbook.

8-12 Wk

Time-to-Platform Saved

45%+

MTTR Reduction

Built for contract evolution, resilience, and traceability.
Ops Ready

Your System Reality

Latency • Failures • Deployments • Scale

Coretus Microservices Kernel v2.4

Boundaries

  • DDD
  • Contexts

Contracts

  • Schemas
  • Versioning

Resilience

  • SLOs
  • Retries

Tracing

  • Metrics
  • Logs
/// Pre-Configured Platform Pods

Deploy Microservices Delivery Squads.

Integrated units specialized in service decomposition, contracts, platform reliability, and observability—so you ship fast without building chaos.

Microservices Architect

Designs bounded contexts, service ownership, contracts, and evolution paths—optimized for delivery velocity.

DDDBoundariesContracts

Contracts & Integration Lead

Owns schema governance, consumer-driven testing, and safe interoperability across services.

SchemasVersioningCDC
2.5x
Deployment Velocity Target
SLOs + Runbooks Included

Squads arrive with decomposition patterns, tracing standards, contract rules, and an ops model—built-in from day one.

Platform / SRE Engineer

Builds runtime standards: deploys, reliability patterns, tracing, alerting, and incident response.

SLOsTracingOn-Call

DevSecOps Lead

Embeds policy-as-code, secure defaults, secrets, and supply chain controls across services.

PoliciesSecretsSupply Chain
/// Architectural Integrity

The Microservices Blueprint.

Microservices are a system: domains, contracts, routing, events, and observability—built to survive growth and failures.

01. Domain Services

Bounded contexts with clear ownership, data boundaries, and evolution rules.

Standards:
DDDContextsOwnership

02. Gateway + Routing

Traffic shaping, auth, rate limits, and policy boundaries for safe access.

Standards:
GatewayPoliciesAuthZ

03. Event Bus + Workflows

Async messaging for low coupling: events, sagas, outbox, and idempotency.

Standards:
EventsSagasOutbox
Low Coupling

04. Observability + Ops

Tracing, logs, metrics, SLOs, and incident readiness for distributed systems.

Standards:
TracesSLOsAlerts
Governed
Composable
Scalable
/// Delivery Framework

The Road to Reliable Microservices.

A phased model that prevents a distributed monolith: map, carve, platformize, then scale.

Phase 01

Domain + Dependency Audit

Map domains, coupling, data boundaries, and define success metrics + SLO targets.

Output: Decomposition Blueprint
Phase 02

Service Carve-Out (Strangler)

Extract services safely with contract rules, routing patterns, and migration sequencing.

Output: First Services in Production
Phase 03

Contracts + Eventing Layer

Introduce async workflows, schema governance, outbox/idempotency, and testing standards.

Output: Low-Coupling Workflows
Phase 04

Operate + Scale

Tracing, SLOs, alerting, runbooks, incident readiness, and governance at scale.

Output: Sustainable Platform Delivery
/// Performance Validation

Proven Platform Outcomes.

Architecture Case Archives
4.1x
Release Speed

Strangler Migration for
SaaS Platform

Releases stalled due to monolith coupling and coordination overhead.

Delivered DDD carve-outs with contract rules, routing patterns, and tracing standards.

"We shipped weekly again—without breaking downstream teams or drowning ops."

PL
Platform Lead
Enterprise SaaS
52%
MTTR Down

Observability for
Distributed Systems

Incidents dragged due to no tracing and unclear ownership.

Shipped end-to-end tracing, SLOs, alert design, and runbooks across services.

"We stopped guessing. Traces + SLOs made failures diagnosable and predictable."

SR
SRE Manager
Platform Org
/// Delivery Models

Microservices Partnership Models.

Choose the engagement aligned with decomposition risk, platform maturity, and delivery urgency.

/// Trust & Controls

Governed
Distributed Systems.

Microservices must balance team autonomy with platform safety. We embed contract governance, operational standards, and policy controls so your system stays reliable at scale.

SLOs + Runbooks

Golden signals, alert rules, and on-call readiness standards across services.

Policy-as-Code Controls

Guardrails for routing, auth, secrets, and change safety—automated.

Supply Chain + Auditability

Trace deployments, dependencies, and changes with provenance and audit trails.

SLOs

Reliability

Policies

Guardrails

Ownership

Clear Teams

Tracing

Diagnose Fast

/// Architecture Briefing

See the Microservices Stack.

A 100-second breakdown of decomposition, contracts, resilience patterns, and observability standards.

Coretus Microservices Architecture Briefing
Platform Lead
Principal Engineer
Platform Architecture Lead
01:40 • PLATFORM MODE

Boundaries

DDD-first decomposition that holds.

Contracts

Versioned interfaces + schemas.

Observability

Trace, measure, and operate reliably.

/// Microservices FAQs

Frequently Asked
Architecture Specs.

Service Identity
Microservices Architecture

How do you pick service boundaries?

We use DDD context mapping, ownership lines, and change-frequency analysis to avoid boundary churn.

How do you prevent breaking changes?

Contract versioning, schema governance, consumer-driven tests, and rollout patterns are baked in.

Async workflows vs sync calls?

We default to events where it reduces coupling—using outbox/idempotency patterns for reliability.

Observability from day one?

Yes—traces, logs, metrics, SLOs, and alert design are part of the baseline, not an afterthought.

Governance without slowing teams?

Policy-as-code guardrails + standard templates let teams move fast while staying safe.

Decomposition Audit?

We can deliver a rapid audit to map domains, coupling, and a safe carve-out plan for your highest-impact area.

Request Architecture Briefing

Ship Microservices Without the Chaos.

Stop trading speed for fragility. We engineer microservices that scale: clear domain boundaries, stable contracts, resilient workflows, and platform-grade observability—so your teams release faster with fewer incidents.

DDD-First Service Boundaries

Resilience + SRE Patterns

No Vendor Lock-In