Infrastructure

Microservices

Infrastructure

4 min read

What is Microservices?

Microservices is a software architecture pattern where applications are built as a collection of small, independently deployable services, each responsible for a specific business capability. Services communicate via APIs and can be developed, deployed, and scaled independently.

What are Microservices?

Microservices (or microservices architecture) is an approach to building software where a large application is decomposed into small, loosely coupled services that each handle a specific business function. Each service runs in its own process, manages its own data, and communicates with other services through well-defined APIs — typically REST or message queues.

Microservices vs. Monolith

In a monolithic architecture, the entire application is a single deployable unit. In microservices:

Aspect	Monolith	Microservices
Deployment	Entire app deploys as one unit	Each service deploys independently
Scaling	Scale the entire application	Scale individual services based on demand
Technology	One tech stack for everything	Each service can use different languages/frameworks
Team structure	One large team or tightly coupled teams	Small teams own individual services
Failure impact	One bug can crash everything	Failure is isolated to one service
Complexity	Simpler to start, harder to maintain at scale	More complex infrastructure, easier to evolve

Key Microservices Principles

Single responsibility: Each service does one thing well — user management, payment processing, notification delivery, etc.

Loose coupling: Services interact only through APIs. Changing one service's internals does not require changes in others.

Independent deployment: Each service has its own CI/CD pipeline and can be updated without redeploying the entire system.

Data isolation: Each service owns its data store. No shared databases between services.

Resilience: Services implement circuit breakers, retries, and fallbacks to handle failures in dependent services gracefully.

Microservices Communication Patterns

Synchronous (REST/gRPC): Service A calls Service B and waits for a response. Simple but creates coupling and cascading failure risk.

Asynchronous (message queues): Service A publishes an event to a queue (Kafka, RabbitMQ, SQS). Service B consumes it when ready. Decoupled but adds complexity.

Event-driven: Services emit domain events that other services react to. Enables loose coupling and eventual consistency.

When to Use Microservices

Microservices are appropriate for:

Large, complex applications with multiple teams

Systems requiring independent scaling of different components

Organizations that deploy frequently and need deployment isolation

Applications where different components benefit from different technology choices

When to Avoid Microservices

Microservices add significant operational complexity. For small teams, simple applications, or early-stage startups, a well-structured monolith is almost always the better choice. The overhead of managing distributed systems, inter-service communication, and data consistency is not justified until the team and application reach sufficient scale.

Microservices structure an application as small, independently deployable services, an architecture documented by Google Cloud. Autonoly orchestrates calls across many such services through its integrations and API & HTTP layer.

Why It Matters

Microservices architecture dominates how modern SaaS applications are built and operated. Understanding microservices helps teams design integrations that are resilient to individual service failures, communicate effectively with APIs, and appreciate why the services they integrate with behave the way they do.

How Autonoly Solves It

Autonoly's HTTP and API nodes let you orchestrate workflows across microservices — calling multiple service endpoints, transforming data between them, and handling failures with built-in retry logic. When microservices lack external APIs, Autonoly's browser automation can interact with their web interfaces directly.

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Examples

An e-commerce platform decomposed into separate services for catalog, cart, checkout, payments, and shipping — each independently scalable
An Autonoly workflow that coordinates across three microservices — fetching user data from the identity service, order history from the commerce service, and support tickets from the helpdesk service
A team migrating from a monolithic application to microservices, using API gateway and service mesh patterns for inter-service communication

Frequently Asked Questions

What is the difference between microservices and a monolith?

A monolith is a single, unified application where all functionality shares one codebase, database, and deployment. Microservices decompose the application into independent services, each with its own codebase, data store, and deployment pipeline. Monoliths are simpler to start; microservices offer more flexibility at scale.

Are microservices always better than monoliths?

No. Microservices introduce significant operational complexity — service discovery, distributed tracing, data consistency challenges, and more infrastructure to manage. For small teams and simple applications, a monolith is almost always the better choice. Microservices shine when you need independent scaling, deployment isolation, and team autonomy at scale.

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Use Cases

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Related terms, automations and guides

Where this concept shows up in practice.

DefinitionAPI IntegrationAPI integration is the process of connecting two or more applications through their APIs so they can exchange data and trigger actions automatically. It eliminates manual data entry by letting systems communicate directly with each other in real time.DefinitionAPI GatewayAn API gateway is a server that acts as the single entry point for all API requests, handling routing, authentication, rate limiting, and load balancing. It sits between clients and backend services, simplifying client interactions and centralizing cross-cutting concerns.DefinitionContainerizationContainerization is a technology that packages an application and all its dependencies into a lightweight, isolated unit called a container, ensuring it runs consistently across any environment without conflicts.DefinitionDevOpsDevOps is a set of practices, cultural philosophies, and tools that unify software development (Dev) and IT operations (Ops) to shorten the development lifecycle and deliver high-quality software continuously. It emphasizes automation, collaboration, monitoring, and rapid iteration.DefinitionREST APIA REST API is a web service interface that follows Representational State Transfer (REST) architectural principles, using standard HTTP methods to create, read, update, and delete resources. It is the most widely adopted API style for web and mobile applications.DefinitionCI/CDCI/CD (Continuous Integration/Continuous Delivery) is a software development practice that automates code building, testing, and deployment, enabling teams to release updates frequently and reliably through an automated pipeline.DefinitionHTTPHTTP (Hypertext Transfer Protocol) is the foundational protocol of the web that defines how clients and servers communicate. Every API call, web page load, and webhook delivery travels over HTTP.GuideHow to Transfer Data Between Web Apps That Don't IntegrateBusinesses use dozens of SaaS tools, but many simply do not connect to each other. When there is no API, no Zapier connector, and no native integration, teams resort to manual CSV exports, copy-paste, and data re-entry. This guide covers every practical approach to bridging the integration gap — from manual workarounds to AI browser automation — with honest comparisons of when each method makes sense.

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