Microservices
Definition
Microservices is a software architecture pattern where an application is decomposed into small, independently deployable services that each own a single business capability and communicate over APIs or message queues. Netflix and Amazon migrated to microservices to enable thousands of engineers to deploy independently -- teams that adopt microservices report 60-80% reductions in deployment coupling.
In a monolith, every feature is tangled with every other feature. A change to billing can break checkout. In a microservices architecture, billing and checkout are separate services that communicate via defined API contracts -- a change to one cannot directly break the other.
Microservices trade-offs
- Pro -- independent deployment, team autonomy, fault isolation
- Pro -- scale individual services under load without scaling the entire app
- Con -- distributed systems complexity (network failures, eventual consistency)
- Con -- operational overhead (service mesh, observability, API versioning)
When not to use microservices
Teams with fewer than 15 engineers almost always ship faster with a well-structured monolith. Adopt microservices when deployment coupling is measurably slowing delivery -- not as an up-front architecture decision.
Related terms
Technical Debt
Technical debt is the accumulated cost of deferred engineering decisions -- shortcuts taken to ship faster that must eventually be reworked. Gartner estimates technical debt costs organizations $1.52 trillion globally in delayed delivery and rework. In practice, high technical debt means any new feature takes 2-5x longer than it should because engineers must work around existing complexity.
Monolith (Monolithic Architecture)
A monolith is a software application where all features -- UI, business logic, and data access -- are deployed as a single unit. Monoliths are faster to build initially and simpler to operate, making them the right default for most early-stage products. They become a liability when deployment coupling slows team velocity or when different components need to scale independently.
CI/CD (Continuous Integration / Continuous Delivery)
CI/CD is the engineering practice of automatically building, testing, and deploying software every time code is committed to a version control system. Teams with mature CI/CD pipelines deploy to production 200x more frequently with 24x faster incident recovery than teams without automation, according to DORA research -- the most measured indicator of engineering organizational health.
Containerization
Containerization is the packaging of application code, runtime, libraries, and configuration into a self-contained unit (a container) that runs identically across development, staging, and production environments. Docker containers start in under 2 seconds and use 10x less memory than virtual machines, making them the standard deployment unit for modern cloud-native applications.
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