⚠️ Status: All 47 services are running (3 are actually working)
Microservices in action

Welcome to microservices, where we solved the problem of having one thing that can break by creating 200 things that can break independently, simultaneously, and in creative new ways.

"We replaced our monolith with micro services so that every outage could be more like a murder mystery."

β€” @honest_update, October 7, 2015

πŸš€ The Microservices Evolution

Stage 1: The Dream

"We'll have small, independent services that are easy to understand and deploy!"

Stage 2: The Reality

"Why do we have 47 repos, 23 databases, and 14 different ways to handle authentication?"

Stage 3: The Denial

"This is fine. The increased complexity is totally worth the... benefits."

Stage 4: The Awakening

"We've accidentally created a distributed monolith with network calls."

πŸ—ΊοΈ Your Service Map

user-service
β†’
auth-service
β†’
profile-service
↓
notification-service
β†’
email-service
↓
analytics-service
β†’
logging-service
↓
πŸ’₯ cascade failure

*Simplified view. Actual service map requires 4K monitor and magnifying glass.

πŸ”₯ Common Microservices Problems

πŸ•ΈοΈ Distributed Debugging

Error spans 12 services, 47 log files, and 3 different time zones

πŸ”„ Circular Dependencies

Service A calls B calls C calls A. It's turtles all the way down.

πŸ“Š Data Consistency

Eventually consistent means eventually correct, right? Right?

🌐 Network Partitions

The network is reliable. Until it isn't. Which is always.

πŸ” Security Boundaries

47 different authentication schemes, none of them perfect

πŸ“ˆ Monitoring Chaos

You need a service to monitor your monitoring services

🎯 Microservices Fun Facts

  • The optimal number of microservices is n-1, where n is your current number
  • Conway's Law applies: your services will mirror your org chart's dysfunction
  • Every microservice starts as "simple" and ends as "legacy"
  • The distributed transaction is the monolith's revenge
  • Service mesh: because your network wasn't complicated enough
  • Breaking down the monolith is easy; putting it back together is therapy
  • The two hardest problems in microservices: cache invalidation, naming services, and off-by-one errors
  • Microservices scale your problems, not just your architecture

🎲 Microservices Bingo

"It works on my local cluster"
"The network is fine"
"Just add a queue"
"Database per service"
"Eventual consistency"
"Distributed tracing"
"Circuit breaker"
"Service mesh"
"Saga pattern"

πŸ—οΈ Monolith vs. Microservices

Monolith
Microservices
One big problem
Many small problems that compound
Single point of failure
Multiple points of failure
Easy to debug locally
Impossible to debug anywhere
One deployment pipeline
47 deployment pipelines, 12 are broken
Shared database
Shared nothing, including knowledge

"Microservices: because your problems weren't distributed enough."

β€” Every architect after the third outage