Architecture & Service Design
Domain-driven design, bounded contexts, and service boundaries that don't fall apart at scale.
Microservices
Microservices architecture and platform engineering services
Decompose monoliths, design service boundaries, and operate distributed systems with patterns that actually work in production.
- DDD-aligned service boundaries
- Event-driven + sync patterns
- Observability first
- Service mesh ready
- Clients served
- 425+
- Projects launched
- 855+
- Satisfaction
- 95%
- Reply window
- <24h
From monolith to mature platform
Inter-Service Communication
REST, gRPC, GraphQL Federation, and event-driven (Kafka, RabbitMQ, NATS) patterns.
Event-Driven Architecture
Event sourcing, CQRS, sagas, and outbox patterns for resilient distributed systems.
API Gateway & Service Mesh
Kong, Tyk, Istio, Linkerd — for traffic management, security, and observability.
Migration from Monolith
Strangler fig migrations, anti-corruption layers, and incremental decomposition strategies.
Resilience & Reliability
Circuit breakers, retries, bulkheads, idempotency, and saga-based transactions.
Split the monolith only when it pays
We will tell you if you should not. When you should, we design boundaries, data, and ops together.
Monoliths slowing every release
Strangle-pattern extraction with dual-write and rollback.
Teams scaling independently
Service ownership, contracts, and CI that does not require a global freeze.
Platforms with bursty domains
Isolate checkout, search, or media so one spike does not take down the rest.
Why teams trust us
- Clients served
- 425+
- Projects launched
- 855+
- Satisfaction
- 95%
- Reply window
- <24h
What you can expect
A plan you can brief internally
Written scope, timeline, and owners — so stakeholders are not guessing what “phase 1” means.
Quality that survives launch week
Reviews, QA, and a support window after go-live. The work does not end at a demo.
Room to iterate
Analytics, feedback loops, and a backlog so v2 is cheaper than starting over.
Tools and platforms we use
- NestJS
- Go
- gRPC
- Kafka / queues
- Kubernetes
- OpenTelemetry
- Istio / mesh
How we work
A delivery cadence you can brief internally — discovery through launch, with visible checkpoints.
- 01Step 1
Discover
Goals, users, constraints, and the metric that will decide success.
- 02Step 2
Plan
Scope, architecture, risks, and a delivery calendar you can share internally.
- 03Step 3
Build
Short sprints, weekly demos, QA in the same cadence as development.
- 04Step 4
Launch & improve
Release, measure, and iterate with a support window after go-live.
Want this scoped to your stack and timeline?
Share goals, constraints, and budget band — we will reply within one business day with a practical next step.
A delivery partner, not a ticket queue
You get a named squad, a written plan, and a product that is still operable after handover.
Senior people on the work
Strategists and engineers who have shipped this category of work before — not a junior bench learning on your budget.
One accountable squad
Design, engineering, SEO, and growth sit in one team, so you are not coordinating three vendors for one outcome.
Visible weekly progress
Demos, written updates, and a shared backlog. You always know what shipped, what is next, and what is blocked.
Built to run after launch
Handover, documentation, monitoring, and a support path — so the product does not stall the week we go live.
Ways to work
Pick the engagement that matches how you buy
Fixed-scope project
Clear deliverables, milestone billing, and a locked timeline after discovery. Best when you know the outcome.
Dedicated squad
A standing product team on a monthly retainer. Best for roadmaps that will keep moving after v1.
Specialist augmentation
Plug senior designers or engineers into your existing team without hiring full-time.
Industries we support
Same delivery quality — domain language and compliance adapted to how you sell.
- SaaS
- Ecommerce
- Fintech
- Media
- Logistics
Frequently asked questions
When should we move to microservices?
When team size + deployment frequency justify the operational overhead. We can also recommend modular monolith first when appropriate.
Do you use a service mesh?
Sometimes. For most teams, an API gateway + good observability is enough. We add a mesh (Istio/Linkerd) only when complexity warrants it.
How do you handle distributed transactions?
Saga patterns with compensation, eventual consistency, and outbox patterns for reliable event publishing.
Related services
Pair this service with the adjacent work most clients sequence next.
Need a tailored proposal for your business?
Tell us your goal, budget, and timeline — we'll respond within one business day with a clear next step.