Microservices Here’s a Way to Build Quickly

Microservices are an evolution that improves user experience with scalability. Here is a simple evaluation architecture. Also, you will know the meaning and the technologies useful to grow in this lane.

There are numerous job opportunities for this skill. And you can expect a comparatively better salary.

So Microservices doesn’t need you to be excel in particular programming languages. But you need to learn Micro-services managing Systems and their tools.


Microservices Here's a Way to Build Quickly

Monolithic Apps

Old model apps those the entire functionality of the application deployed in a single web server. It’s also called Baremetal Server. So you need more servers to catch scalability and this model is expensive. Here is Develop and Operate Microservices on Kubernetes.

Virtual Machines on Cloud

The next-generation model is where the application virtualizes on a server. Thus multiple applications help users to feel better availability and no downtime. For example, the server that creates on the AWS cloud is Virtual Machine.



Separating main application functionality into smaller parts is called Microservices. Kubernetes is the best Operating system for deploying and overseeing the microservices on the cloud.


The advantages of microservices are Ease of Scaling, Deployment, Testing, Evolution

Nano Services


It’s parting a single service into smaller functions. The best technology is AWS Serverless Lambda.


For example, BBC uses multiple services to display different information to the user:

  • Generating a headline
  • Sourcing weather data
  • Updating a match score

Tools to Build Micro-services Quickly

  1. Puppet
  2. Kubernetes
  3. AWS Server-less Lambda
Technologies for micro-services

5 Tools You Need

Below are tools with Kubernetes that give you brilliant opportunities.

  1. Helm (use to install tools)
  2. Prometheus
  3. Squash
  4. Gloo
  5. Istio / Service Meshes / Envoy

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Author: Srini

Experienced software developer. Skills in Development, Coding, Testing and Debugging. Good Data analytic skills (Data Warehousing and BI). Also skills in Mainframe.