Video summary

What are MicroServices? When & Why is it used? | Monolithic vs Microservices Architecture

Main summary

Key takeaways

Technology

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

  1. Redeployment problem: A small change (e.g., authentication) forces redeploying the entire application.
  2. Scaling inflexibility: You cannot scale only one component (e.g., authentication); you must scale the whole app.
  3. 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

  1. 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.
  2. Flexible scaling
    • Scale only the required services (e.g., listings) without scaling the entire system.
  3. Technology flexibility
    • Different services can use different technologies (example mentioned: authentication could be in Python).

How Microservices Communicate (3 Methods)

  1. 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.
  2. 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).
  3. 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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