The benefits of microservice imaging architecture

With traditional software design multiple

applications run on individual physical

servers. That means if one

application is in high demand it

may consume an inordinate amount of

resources leading other applications

to underperform. Conversely

I. T. Organizations may provision

servers for peak usage of a single

application. That means that during

most usage hours the resources

are underutilized.

It also means each server likely

will need to be taken down to install upgrades

or to perform maintenance on a single

application.

Cloud native solutions overcome

these limitations through a modular

approach to building, running and updating

software

known as micro service architecture.

Cloud Native design relies on

a collection of quasi autonomous

functionalities called microservices

that typically are organized around business

capabilities.

Each micro service in turn is

made up of containers, discrete software

packages that include all settings,

libraries and other dependencies

needed to perform a single well defined

task. Microservices and

their containers communicate across a separate

piece of software called a container orchestration

platform such as kubernetes

containers decoupled functionality

is a game changer that enables

unprecedented flexibility and reliability

because they're essentially autonomous

containers can be deployed, tested,

maintained, updated or

even replaced without affecting

the rest of the solution

that means you can maintain and

upgrade a solution with zero downtime

and without fear of disrupting

other critical functionality.

Micro service architecture also delivers

another key advantage.

The container orchestration platform

that allows the microservices to work

in unison, Also automatically

load balances processing across

the solution. It does this by scaling

up shared virtual servers also

known as cloud nodes to meet peak

usage requirements for specific microservices

Once demand eases the nodes

are released, the practical benefits

of automatic load balancing are twofold

latency or the lag that can occur

with one application when another is at

peak usage becomes a thing of the past.

All microservices can access

the processing power they need in real

time to continue functioning optimally.

Thanks to this dynamic distributed

approach to computing consumption, solutions

can scale elastically to meet varying

user demands,

assuming public cloud services are used

practically infinite scalability

as possible with no fall off in

performance.