Video summary
What are MicroServices? When & Why is it used? | Monolithic vs Microservices Architecture
Main summary
Key takeaways
Summary of the Video (Microservices vs Monolith)
Goal
The video explains:
- What microservices are
- What a microservices architecture means
- When/why microservices are used
- How microservices differ from monolithic architecture
Why Microservices Exist
Microservices are presented as a solution to common monolith disadvantages, particularly around:
- Redeployment
- Scaling
- Dependency/versioning
Monolithic Architecture (As Described)
Key Characteristics
- Single unit design: The entire application is built and deployed as one codebase/repository.
- Single tech stack assumption: If the backend uses Java, the rest of the app (e.g., payments, authentication, listings) also uses Java.
- Single CI/CD pipeline: One pipeline for the whole application.
Pros
- Easier to develop and manage because everything is centralized.
Cons
- Redeployment problem: A small change (e.g., authentication) forces redeploying the entire application.
- Scaling inflexibility: You cannot scale only one component (e.g., authentication); you must scale the whole app.
- Tight dependencies / version lock: Shared packages/modules often require consistent versions across features (e.g., authentication and listings can’t use different versions).
Microservices Architecture (As Described)
Core Idea
A monolith is broken into independent services, where each microservice handles a single responsibility.
Independence
Microservices emphasize:
- Separate code bases and repositories
- Independent deployment
- Loosely coupled services
No Fixed Number Rule
There’s no hard rule for how many microservices to create—it depends on business logic/business needs.
Examples mentioned:
- Separate payments logic into its own microservice.
- Separate authentication logic with its own database.
Benefits of Microservices
- Independent deployment / versioning
- Update only the affected service (e.g., authentication) and deploy a new version (e.g., v2) while other services stay on older versions.
- Flexible scaling
- Scale only the required services (e.g., listings) without scaling the entire system.
- Technology flexibility
- Different services can use different technologies (example mentioned: authentication could be in Python).
How Microservices Communicate (3 Methods)
-
Synchronous communication via APIs
- One service calls another using HTTP requests to the target service’s API endpoint.
- Example: payment service calls listings service, and listings returns an HTTP response.
-
Asynchronous communication via message brokers
- Services publish messages to a broker, which forwards them to the appropriate microservice.
- Examples mentioned: RabbitMQ, MQ, and Apache Kafka (appeared as “Achi Kafka” due to subtitle errors).
-
Service mesh (for Kubernetes deployments)
- Mentioned as common when microservices run on Kubernetes (referred to as “Kube Networks”).
Disadvantages / Tradeoffs of Microservices
- More complexity (“textured”): Requires coordination across multiple teams and services.
- Higher management overhead: More platforms/services to manage.
- Higher infrastructure cost:
- Each microservice typically has its own CI/CD pipeline and runs in independently managed containers.
- Not ideal for small teams/startups: Overhead and cost can outweigh benefits.
- Preferred by large organizations: Benefits are more compelling at scale.
Main Sources / Speakers
- Single narrator/speaker (no named person shown in the subtitles).
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