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Architecture & Engineering

Microservices

Microservices are an architecture where an application is split into small independent services, each owning one business capability and its own data, communicating over a network. Each service can be deployed, scaled and rewritten without touching the others — which is the benefit, and the source of the operational cost.

The trade is organisational as much as technical. Microservices let separate teams ship independently without coordinating a single release, which is why they tend to appear at a certain company size rather than a certain traffic level. Below that size the coordination problem they solve does not exist, and the distributed-systems problems they create do.

Those costs are real: network calls fail in ways in-process calls do not, transactions spanning services need compensating logic instead of a database rollback, and debugging a request means tracing it across several systems. Teams that adopt microservices before they have distributed tracing, per-service ownership and automated deployment usually end up with a distributed monolith — all of the cost, none of the independence.

MonolithMicroservices
DeploymentOne unit, all-or-nothingPer service, independent
Team coordinationRequired for every releaseTeams ship on their own cadence
DebuggingOne stack traceDistributed tracing required
Data consistencyDatabase transactionsEventual, with compensating logic
Best atSmall to mid teams, early productMany teams, established boundaries

Codazz builds this in production — Legacy Modernization.

FAQ

Microservices
FAQ.

Common questions about microservices.

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When release coordination between teams becomes the bottleneck — not when traffic grows. Scaling problems are usually solvable inside a monolith with caching, read replicas and horizontal instances. The problem microservices actually solve is organisational: several teams needing to deploy independently. If one team owns the codebase, splitting it adds cost without removing a constraint.

A system split into separate services that still have to be deployed together, because they share a database or call each other synchronously in tight chains. It carries the full operational cost of microservices — network failure modes, distributed debugging — while delivering none of the independence. It is the most common failure mode of a microservices migration.