Microservices That Earn Their Complexity
Splitting a system only helps when the boundaries are right. We find them, move services out one at a time while the monolith keeps running, and leave your team able to operate the result.
Overview
What is Microservices Architecture?
Microservices architecture is an approach where an application is built as a set of small, independently deployable services that communicate over a network. Each owns its data and can be scaled or released on its own, in exchange for more operational complexity than a single application.
Microservices trade one hard problem for a different set: deployment, data consistency, tracing, and being on call. That trade is worth making when teams block each other, or when parts of the system need to scale independently, and not much otherwise. The work begins by mapping the domain and finding boundaries that match how the business changes, then extracting services incrementally behind an interface so the existing system stays live. Containers, orchestration, service to service authentication, and distributed tracing come with it, along with the runbooks to operate them.
Capabilities and features
Split Along the Business, Not the Codebase
Boundaries are drawn from the domain and from how the business changes, so services stay independent instead of needing to be released together. Data ownership is decided at the same time, because shared tables quietly recreate the monolith you just left.
- Domain mapping with clear service ownership per capability
- Data ownership decided per service, with no shared tables
- A written case for each split, including what stays as it is
The Monolith Keeps Running While You Move
Services are extracted one at a time behind a stable interface, with traffic shifted gradually and a route back if something misbehaves. There is no cutover weekend, because cutover weekends are where migrations go wrong.
- One service at a time, behind a facade or gateway
- Gradual traffic shifting with a tested rollback path
- Contract tests so interfaces stay honest between teams
You Cannot Operate What You Cannot See
Container images, orchestration on Kubernetes or a managed equivalent, plus the parts teams skip until their first incident: distributed tracing, structured logs, health checks, and alerts that point at a service rather than a symptom.
- Containerisation with reproducible builds and deployments
- Kubernetes or managed orchestration, sized to your team
- Tracing, metrics, logs, and a runbook per service
The real impact
Why it matters
The usual reason to split a system is not performance, it is people: teams waiting on each other to release. Done on the right boundaries it removes that queue. Done on the wrong ones it produces a distributed system with all of the cost and none of the independence.
Nearly three-quarters of organisations are looking to move from monolithic to more flexible architectures. The shift is driven by scaling needs, deployment velocity, and team independence.
Source: Acropolium / Industry Survey
Microservices communicate via APIs. As API adoption becomes universal, the infrastructure for microservices communication is already in place for most enterprises.
Source: Gartner / Market Data Forecast, 2025
Nearly half of developer time goes to building and maintaining APIs. Microservices multiply API surface area, making API design and management a critical capability.
Source: SQ Magazine / API Statistics, 2026
Technologies we build with
Node.js
Python
PostgreSQL
MongoDB
Redis
GraphQLNode.jsPythonPostgreSQLMongoDBRedisGraphQL
Kafka
Docker
Kubernetes
AWS
Stripe
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FAQ
Frequently asked questions
Everything you need to know about this service.
Often not, and we will say so. If one team ships the whole product and nothing needs to scale separately, a well structured single application is cheaper to build and to run. Microservices pay off when teams block each other or parts of the system have very different scaling needs.
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