Your System Reality
Latency • Failures • Deployments • Scale
Platform Teams Trust Coretus for Production Microservices
Smaller blast radius, faster delivery.
Resilience patterns + observability.
SLOs, retries, timeouts, and fallbacks.
Open patterns, portable deployments.
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.
What most teams accidentally create:
Services overlap domains; ownership is unclear and changes cascade.
Sync calls everywhere, brittle coupling, and latency dominoes.
Missing SLOs, tracing, runbooks, and governance standards.
Platform-grade microservices:
Domain maps, bounded contexts, and ownership boundaries that hold under growth.
Versioned APIs, schemas, eventing, and safe evolution paths.
Tracing, logs, metrics, SLOs, and runbooks embedded from day one.
Less Coupling. More Shipping.
From single releases to continuous delivery at scale.
Bounded contexts, service boundaries, and team ownership models that survive growth.
Versioned APIs, schemas, backward-compatibility rules, and safe evolution patterns.
Async patterns that reduce coupling: events, sagas, outbox, and idempotent handlers.
API gateway patterns, rate limiting, auth, and traffic shaping without killing velocity.
Timeouts, retries, bulkheads, circuit breakers, and SLO-driven reliability.
Tracing, metrics, logs, dashboards, and alert design for distributed systems.
We build the loop: boundaries → contracts → resilience → observability → governance → scale.
Domain Integrity
Context mapping, domain ownership, and service responsibilities that reduce coordination load.
Safe Evolution
Versioned APIs, event schemas, idempotency, and outbox patterns for reliable workflows.
Failure Containment
Timeouts, retries, circuit breakers, bulkheads, and graceful degradation with SLO discipline.
Trace + Operate
Metrics, logs, traces, dashboards, and alerts designed for distributed systems and fast diagnosis.
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.
Latency • Failures • Deployments • Scale
Integrated units specialized in service decomposition, contracts, platform reliability, and observability—so you ship fast without building chaos.
Designs bounded contexts, service ownership, contracts, and evolution paths—optimized for delivery velocity.
Owns schema governance, consumer-driven testing, and safe interoperability across services.
Squads arrive with decomposition patterns, tracing standards, contract rules, and an ops model—built-in from day one.
Builds runtime standards: deploys, reliability patterns, tracing, alerting, and incident response.
Embeds policy-as-code, secure defaults, secrets, and supply chain controls across services.
Microservices are a system: domains, contracts, routing, events, and observability—built to survive growth and failures.
Bounded contexts with clear ownership, data boundaries, and evolution rules.
Traffic shaping, auth, rate limits, and policy boundaries for safe access.
Async messaging for low coupling: events, sagas, outbox, and idempotency.
Tracing, logs, metrics, SLOs, and incident readiness for distributed systems.
A phased model that prevents a distributed monolith: map, carve, platformize, then scale.
Map domains, coupling, data boundaries, and define success metrics + SLO targets.
Extract services safely with contract rules, routing patterns, and migration sequencing.
Introduce async workflows, schema governance, outbox/idempotency, and testing standards.
Tracing, SLOs, alerting, runbooks, incident readiness, and governance at scale.
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."
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."
Choose the engagement aligned with decomposition risk, platform maturity, and delivery urgency.
Embedded microservices team focused on decomposition, contracts, observability, and reliability.
Define decomposition roadmap, contracts, governance, and reliability strategy before you scale.
We incubate your microservices platform, run it in production, then transfer ownership to your teams.
Your dedicated microservices + platform engineering delivery center for continuous evolution and reliability.
Microservices must balance team autonomy with platform safety. We embed contract governance, operational standards, and policy controls so your system stays reliable at scale.
Golden signals, alert rules, and on-call readiness standards across services.
Guardrails for routing, auth, secrets, and change safety—automated.
Trace deployments, dependencies, and changes with provenance and audit trails.
Reliability
Guardrails
Clear Teams
Diagnose Fast
A 100-second breakdown of decomposition, contracts, resilience patterns, and observability standards.
DDD-first decomposition that holds.
Versioned interfaces + schemas.
Trace, measure, and operate reliably.
We use DDD context mapping, ownership lines, and change-frequency analysis to avoid boundary churn.
Contract versioning, schema governance, consumer-driven tests, and rollout patterns are baked in.
We default to events where it reduces coupling—using outbox/idempotency patterns for reliability.
Yes—traces, logs, metrics, SLOs, and alert design are part of the baseline, not an afterthought.
Policy-as-code guardrails + standard templates let teams move fast while staying safe.
We can deliver a rapid audit to map domains, coupling, and a safe carve-out plan for your highest-impact area.
Request Architecture BriefingStop 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