Your System Reality
Latency • Failures • Deployments • Scale
Platform Teams Trust Coretus for Production Microservices
Smaller blast radius, faster delivery.
reliability patterns + monitoring.
SLOs, retries, timeouts, and fallbacks.
Open patterns, portable deployments.
Microservices fail when teams ship unclear boundaries, chatty dependencies, and no ops standards. We build 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 as demand grows.
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 speed.
Timeouts, retries, bulkheads, circuit breakers, and Service-level focused reliability.
Tracing, metrics, logs, dashboards, and alert design for distributed systems.
We build the loop: boundaries → contracts → reliability → monitoring → 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 Module™, a secure, ready-made foundation for boundaries, contracts, reliability patterns, and monitoring standards.
Your teams focus on product outcomes and delivery speed, not rebuilding the platform playbook.
Latency • Failures • Deployments • Scale
Integrated units specialized in service decomposition, contracts, platform reliability, and monitoring, so you ship fast without building chaos.
Designs bounded contexts, service ownership, contracts, and evolution paths, optimized for delivery speed.
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 automated safeguards, secure defaults, secrets, and supply chain controls across services.
Microservices are a system: domains, contracts, routing, events, and monitoring, 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 as demand grows.
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, monitoring, and reliability.
Define decomposition roadmap, contracts, governance, and reliability strategy before you scale.
We deliver a clearly scoped solution through defined milestones, clear decision-making, and acceptance criteria, with complete IP and knowledge handover.
Microservices must balance team autonomy with platform safety. We embed contract governance, day-to-day standards, and policy controls so your system stays reliable as demand grows.
Golden signals, alert rules, and on-call readiness standards across services.
safeguards for routing, auth, secrets, and change safety, automated.
Trace deployments, dependencies, and changes with provenance and activity records.
Reliability
safeguards
Clear Teams
Diagnose Fast
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.
automated safeguards + 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 BriefingSplit complex systems into services that are easier to change and operate. We define clear boundaries, dependable APIs, reliable workflows, and monitoring so teams can release with fewer incidents.
DDD-First Service Boundaries
reliability + SRE Patterns
No Vendor Lock-In