Microservices
Microservices Architecture
Decompose the monolith without detonating it
Overview
Strangler-pattern migrations and greenfield distributed systems with the operational maturity microservices demand — service boundaries drawn along business domains, not org-chart whims.
Microservices solve a specific problem: teams stepping on each other in a codebase that must scale unevenly. Adopted for the wrong reasons, they trade one big problem for a dozen distributed ones. Our first deliverable is often the honest question — do you need this? Sometimes a well-modularized monolith is the right answer, and we'll say so.
When decomposition is right, we do it without stopping the business: domain-driven boundary analysis, a strangler migration that peels off one capability at a time, and the platform underneath — service mesh, contract testing, distributed tracing — that makes fifty services operable by normal-sized teams.
0
unplanned outages during our last four monolith decompositions
6x
increase in independent team deployment cadence post-migration
-64%
reduction in cross-team merge conflicts and release coordination overhead
Capabilities
What our microservices practice covers
Every engagement is scoped from these building blocks — mixed to fit your product, not a package.
Architecture assessment & domain modeling
Event-storming workshops and coupling analysis that draw service boundaries along business capabilities — the difference between microservices and a distributed monolith.
Strangler-pattern migration
Incremental extraction from live monoliths with parallel-run verification, so the business never notices the surgery.
Event-driven architecture
Kafka and messaging backbones with outbox patterns, idempotent consumers, and schema governance that prevent data-consistency nightmares.
Service platform engineering
Kubernetes, service mesh, and golden-path templates so spinning up service number forty is as safe as service number four.
Distributed reliability patterns
Circuit breakers, sagas, backpressure, and graceful degradation — engineering for the partial failures distributed systems guarantee.
Observability across services
Distributed tracing and correlated logging so a slow checkout is diagnosed in one query, not a war room.
Engagement
How this engagement runs
Four phases with named deliverables — you'll know exactly where the work stands every week.
01
Fitness assessment
Honest analysis of whether microservices serve your scaling problem — including the cases where modular monolith wins.
02
Boundary design
Domain workshops producing a service map, data-ownership plan, and migration sequence ranked by risk and value.
03
Platform & first extraction
Delivery platform plus the first service extracted and running in parallel with the monolith to prove the pattern.
04
Systematic migration
Capability-by-capability extraction with your teams increasingly leading, until the monolith retires or shrinks to a stable core.
FAQ
Microservices questions, answered plainly
Ready to talk microservices?
Bring the problem — a technical lead will sketch the approach, the team shape, and an honest budget range on the first call.