A Guide to AWS Microservices Architectures

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🧠 DEEP DIVE USE CASE

A Guide to AWS Microservices Architectures

One cannot take away these debates from a DevOps and Cloud engineer's lives:

• Monolithic vs Microservices

• Serverless vs Self-Managed Virtual Instances

• Kubernetes vs Do we really need Kubernetes?

As a matter of context, let’s pick “microservices” for today.

If I have to explain the difference in one line:

• Monolithic architecture is a single, tightly integrated application where all components function as one unit.

• Microservices architecture is a design where the application is split into independent services communicating via APIs.

Microservices can revolutionize how you build and scale systems - but only when used in the right context.

Misaligned complexity can create a real problem, not the architecture itself.

Imagine a spectrum.

On the far left, your system has a manageable number of services:  
🟨 ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️

On the far right, the system has fragmented into too many services:
⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ 🟦

The red square on the left is where microservices worked well initially:
🟨 ⬜️ ⬜️ 🟥 ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ 🟦

The green square is where the system ended up, due to uncontrolled growth:
🟨 ⬜️ ⬜️ 🟥 ⬜️ ⬜️ ⬜️ ⬜️ ⬜️ 🟩 ⬜️ ⬜️ 🟦

The gap between 🟥 and 🟩 is the misaligned complexity.

With this basic understanding of the context, let us look into the most widely used microservices architecture patterns in AWS, starting with the…

Event Driven Microservices Pattern

Event driven microservices shift communication from direct calls to asynchronous event flows. Instead of one service waiting for another, services publish and consume events independently.

This pattern improves scalability and resilience because each service only reacts when an event relevant to it occurs. It also enables loose coupling since producers do not need to know the consumers.

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