Advanced

Microservices

Architecture & Deployment

Decompose applications into small, independently deployable services

Core Idea

Align services with business domains for team autonomy, independent deployment, and scaling. Embrace operational platform and strong observability.

When to Use

When a monolith hampers team velocity and scale, and the org can support operational complexity with a platform and CI/CD.

Recognition Cues

Indicators that this pattern might be the right solution

Many teams contending in a shared monolith
Need independent SLAs and scaling
Bounded contexts are clear via DDD

Pattern Variants & Approaches

Overview

API gateway fronts domain-aligned services, each owning its data store; async events reduce coupling.

Overview Architecture

When to Use This Variant

Team autonomy
Independent deploys
Per-service SLAs

Use Case

Large organizations with multiple domains and rapid iteration needs.

Advantages

Targeted scaling
Fault isolation
Tech flexibility where justified

Implementation Example

# High-level
client -> gateway -> service-A -> db-A
                 -> service-B -> db-B

Tradeoffs

Pros

Team autonomy and independent deploys
Fault isolation and targeted scaling
Tech stack flexibility where justified

Cons

Operational overhead and complexity
Distributed data and latency
Requires strong platform investments

Common Pitfalls

Chatty synchronous inter-service calls
Shared database across services
Weak contracts and versioning
Lack of tracing/metrics/logging baseline

Design Considerations

Domain-driven design and clear ownership
Platform guardrails and paved roads
Asynchronous communication where possible
API versioning and backward compatibility
Security, SLOs, and error budgets per service

Real-World Examples

Netflix

Hundreds of services for streaming platform

Global scale and traffic

Amazon

Service-oriented architecture across retail/cloud

Tens of thousands of services

Uber

Domain-aligned microservices for mobility

Global multi-region

Complexity Analysis

Scalability

Service-level scaling

Implementation Complexity

High - Many services and ops

Cost

Medium to High - Platform costs

API Gateway Service Mesh Message Queues Saga Pattern