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Microservicessystem_design~12 mins

Pods and deployments for services in Microservices - Architecture Diagram

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System Overview - Pods and deployments for services

This system manages microservices using Pods and Deployments in a container orchestration platform like Kubernetes. It ensures services run reliably, can scale automatically, and recover from failures without downtime.

Architecture Diagram
User
  |
  v
Ingress Controller
  |
  v
Load Balancer
  |
  v
+-------------------+       +-------------------+
| Deployment A       |       | Deployment B       |
| +---------------+ |       | +---------------+ |
| | Pod A1        | |       | | Pod B1        | |
| +---------------+ |       | +---------------+ |
| +---------------+ |       | +---------------+ |
| | Pod A2        | |       | | Pod B2        | |
| +---------------+ |       | +---------------+ |
+-------------------+       +-------------------+
         |                           |
         v                           v
   Service A                    Service B
         |                           |
         v                           v
     Database                    Cache Layer
Components
User
client
Sends requests to the services
Ingress Controller
ingress
Manages external access to services inside the cluster
Load Balancer
load_balancer
Distributes incoming traffic evenly across Pods
Deployment A
deployment
Manages lifecycle and scaling of Pods for Service A
Deployment B
deployment
Manages lifecycle and scaling of Pods for Service B
Pod A1
pod
Runs an instance of Service A
Pod A2
pod
Runs another instance of Service A for redundancy and scaling
Pod B1
pod
Runs an instance of Service B
Pod B2
pod
Runs another instance of Service B for redundancy and scaling
Service A
service
Provides stable network endpoint for Pods of Service A
Service B
service
Provides stable network endpoint for Pods of Service B
Database
database
Stores persistent data for services
Cache Layer
cache
Speeds up data access for services
Request Flow - 11 Hops
User → Ingress Controller
Ingress Controller → Load Balancer
Load Balancer → Pod (e.g., Pod A1)
Pod (e.g., Pod A1) → Cache Layer
Cache Layer → Pod (e.g., Pod A1)
Pod (e.g., Pod A1) → Database
Database → Pod (e.g., Pod A1)
Pod (e.g., Pod A1) → Cache Layer
Pod (e.g., Pod A1) → Load Balancer
Load Balancer → Ingress Controller
Ingress Controller → User
Failure Scenario
Component Fails:Pod (e.g., Pod A1)
Impact:Requests routed to the failing Pod fail or timeout, causing degraded service availability
Mitigation:Deployment controller detects Pod failure and automatically creates a new Pod instance; Load Balancer stops sending traffic to the failed Pod
Architecture Quiz - 3 Questions
Test your understanding
What component ensures that multiple Pod instances of a service run and recover automatically?
ADeployment
BLoad Balancer
CIngress Controller
DCache Layer
Design Principle
This architecture uses Deployments to manage Pods, ensuring automatic scaling and self-healing. Services provide stable network endpoints, while Load Balancers distribute traffic evenly. The system separates concerns for reliability and scalability.