Microservices architecture organizes applications as loosely connected services that communicate through well-defined APIs. This allows for greater agility, scalability, and fault tolerance compared to monolithic architectures. Docker containers make it easier to deploy and manage microservices. Kubernetes provides tools to automate deployment, scaling, and management of containerized microservices or applications across a cluster of hosts.

1. Microservices, Docker ,
Kubernetes and many
more
By : Vishwas Narayan

2. Microservices
● Microservice architecture is a type of service-oriented
architecture in which an application is organised as a series of
loosely connected services.
● Microservices architecture is characterised by fine-grained
services and lightweight protocols.
● Communication through the well defined API’s
● This is a separate Business logic instead of one Problem
statement

3. User Interface
Business Logic
Data Access Layer
API CALL
LAYER
DATA BASE

4. User Interface
Microservice
Microservice
Microservice
Microservice
Microservice
Microservice
Microservice

5. DB
DB DB
DB
DB
DB DB
DB DB DB
DB DB
DB DB

6. Advantages
● Greater agility
● Faster time to market
● Better scalability
● Faster development cycles (easier deployment and debugging)
● Easier to create a Cl/CD pipeline for single-responsibility
services
● Isolated services have better fault Tolerance
● Platform- and language agnostic services
● Cloud-readiness

7. In summary
● Microservices may be deployed individually, giving teams more
control.
● Microservices are scalable in their own right.
● Microservices decrease downtime by isolating faults.
● The smaller codebase allows teams to grasp the code more
quickly, making it easier to maintain.

8. Cons
● More collaboration is required (each team has to cover the
whole microservice lifecycle)
● Because of the architecture's complexity, it's more difficult to test
and monitor.
● Due to the requirement for microservices to communicate,
performance will suffer (network latency,message processing,
etc.)
● It's more difficult to keep the network up to date (has less fault
tolerance, needs more load balancing, etc.)
● Doesn't function until there's a strong company culture in place
(DevOps culture,automation practices,etc.)
● Concerns about security (harder to maintain transaction safety,
distributed communication goes wrong more likely,etc.)

9. Service
Service
Service
Service
Service
Service
Service
Service
Service
Service
Service
Service
Service
Service

10. Everything about docker

12. Container are very light weight
SERVER
HOST OS
GUEST OS
HYPERVISOR
LIBRARIES/Bin
APP A
GUEST OS
LIBRARIES/Bin
APP B
VM
SERVER
HOST OS
APP A APP B
LIBRARIES LIBRARIES
CONTAINER
S
• Containers are isolated but share OS
• Increase the compute density and
memory utilization
DOCKER ENGINE

14. ● NODE
● PODS
● Service
● Deployment

15. Cluster
Master
API Server
Scheduler
Controller
etcd
Kubelets
Docker
NODE
Kubelets
Docker
NODE
Kubelets
Docker
NODE

16. Cluster
Master
API Server
Scheduler
Controller
etcd
Kubelets
Docker
NODE
Kubelets
Docker
NODE
Kubelets
Docker
NODE
Kubelets
Docker
NODE
Worker Node

17. Kubernetes Provides
● Service discovery & load balancing
● Storage orchestration
● Automated rollouts & rollbacks
● Automated bin packing
● Self-healing
● Secret & configuration management