What if your app could fix itself without shutting down the whole system?
Why First microservice architecture diagram in Microservices? - Purpose & Use Cases
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Imagine building a big app where everything is tightly connected in one place, like a giant machine with many parts stuck together.
When one part breaks, the whole machine stops working.
Fixing or updating one part means stopping the entire app.
It's slow, risky, and hard to find where the problem is.
Scaling means copying the whole app, wasting resources.
Microservices split the big app into small, independent parts.
Each part does one job and talks to others through simple messages.
This makes fixing, updating, and scaling easier and safer.
All features in one big app codebaseSeparate small services communicating via APIs
Build apps that grow smoothly, fix bugs fast, and add features without breaking everything.
Think of an online store where payment, product catalog, and user login are separate services.
If payment needs an update, the store keeps running smoothly.
Monolithic apps are hard to maintain and scale.
Microservices break apps into manageable parts.
This leads to faster development and better reliability.
Practice
Solution
Step 1: Understand the API Gateway function
The API Gateway acts as a single entry point that directs client requests to the appropriate microservice.Step 2: Compare other options
Storing data is done by individual services, not the gateway. The UI runs separately, and the gateway does not replace microservices.Final Answer:
It routes client requests to the correct microservice. -> Option BQuick Check:
API Gateway = Request Router [OK]
- Thinking API Gateway stores data
- Confusing API Gateway with UI component
- Assuming API Gateway replaces microservices
Solution
Step 1: Recall microservice data ownership principle
Each microservice should own and manage its own database to avoid tight coupling.Step 2: Evaluate options
Sharing one database or file breaks independence. Not using databases is unrealistic for data needs.Final Answer:
Each microservice has its own separate database. -> Option CQuick Check:
Microservice = Own Data Store [OK]
- Assuming all services share one database
- Thinking microservices don't need databases
- Using shared files for data storage
Client -> API Gateway -> Service A -> Service BWhat happens if Service B is down when Client sends a request?
Solution
Step 1: Trace request flow with Service B down
The client request goes through API Gateway to Service A, which calls Service B. If Service B is down, Service A cannot complete its task.Step 2: Understand failure impact
Without Service B responding, Service A returns an error back through the API Gateway to the client.Final Answer:
Service A will fail to complete the request and return an error to the client. -> Option DQuick Check:
Down service causes error response [OK]
- Assuming automatic retries by API Gateway
- Thinking Service A can handle request alone
- Believing API Gateway has backup routing
What is the main problem with this design?
Solution
Step 1: Identify service call relationships
API Gateway calls both Service A and Service B, and Service A calls Service B and Service B calls Service A, forming a loop.Step 2: Understand circular dependency issues
Circular dependencies cause tight coupling and can lead to failures or deadlocks.Final Answer:
It creates a circular dependency between services. -> Option AQuick Check:
Circular calls = Bad design [OK]
- Thinking API Gateway shouldn't call services
- Believing shared database fixes call loops
- Assuming call direction must be reversed
- User service manages user profiles
- Product service manages product info
- Order service creates orders and needs user and product data
Which architecture diagram best fits these requirements?
Solution
Step 1: Analyze service responsibilities
User and Product services manage their own data. Order service needs to create orders using data from both.Step 2: Check communication flow
Order service calling User and Product services internally keeps responsibilities clear and allows data ownership.Step 3: Evaluate options
Client -> API Gateway -> User Service, Product Service, Order Service; Order Service calls User and Product Services internally. matches this design. Others either merge services incorrectly or create wrong call flows.Final Answer:
Client -> API Gateway -> User Service, Product Service, Order Service; Order Service calls User and Product Services internally. -> Option AQuick Check:
Order service calls needed services [OK]
- Merging all logic into one service
- Placing order service inside API Gateway
- Incorrect service call directions
