Latest skills for software engineers

With web applications growing larger and more complex day by day, containerization and microservices are becoming increasingly in-demand skills for software engineers. This is revealed by analysis of US job postings data from 2017-2019. In this post, we take you through what these technologies are, industry trends and steps you could take to get ahead in this field.

What are microservices?

Microservices use containers to create smaller, stand-alone applications. These are created with the aim of making entire system more scalable and agile. They have gained huge traction lately because of several features that make it a perfect fit in new age architecture.

Key benefits:

  1. Reduces time to market by making testing and deployment faster. Once you are ready with your basic application, you are good to go. You can implement additional features and changes easily without much trouble.
  2. Happier and more efficient development team as it provides them technical flexibility and freedom of using different technology stack depending on their need. For example, C++ for fast results and Python for data intelligence.
  3. Allows fast response to change in traffic. Let’s say, you are designing an e-commerce platform and are worried about scaling up when there’s a big SALE, then microservices are just the thing to help you save cost and time.

With increasing number of organisations understanding these benefits and adapting to microservices, it has become a must-have skill for IT professionals.

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Which Technologies are used to implement a microservice?

A variety of languages, tools and framework are available for implementing microservices like Java, C++, Python, .Net to name a few.

Spring Boot is an open-source platform for Java developers to create a stand-alone microservice. It is developed by Pivotal team in 2014 to provide ease of setting up and running Spring applications. Its main purpose is to:

  • Help getting the developer started with minimum configuration without need of configuring entire Spring application
  • Avoiding XML configuration in Spring thus reducing development time and increasing productivity

From the chart, we see that Spring boot has market share of 50 % of the server-side frameworks which is huge. Ease of understanding and usage along with other advantages make Spring Boot one of the most popular tools among enterprises and hence one of the most sought-after skill by software engineers. Completing a course on Spring Boot from the many available on CareerSkillz.com can help you boost your future career prospects.

Issues with Microservices: Kubernetes comes to the rescue

  1. As applications grow to span multiple containers deployed across multiple servers, operating them becomes more complex. These containers:
    • Needs to be managed
    • Network and connect with rest of containers
    • Need scheduling, load balancing, Distribution,
    • Share file systems
  2. With most enterprises using cloud-based services, there is a big need for technology which allows sharing of assets between on-premise datacenters and cloud.

Kubernetes help to solve this complexity by automatically scaling and managing containers which are used to deploy and test project or application modules. Kubernetes is robust platform developed by Google for running thousands of containers in production.

How does it work?

Using Kubernetes, containers are grouped into pods. A pod is the basic operating unit of Kubernetes. These pods are connected via an overlay network to rest of environment. There are replication controllers which manage these pods. They provide logic for scaling up and down, rolling deployment and monitoring.

Advantages of Kubernetes:

  1. Provides an open source API that controls how and where those containers will run.
  2. Uses labels to identify containers and you can query based on the label.
  3. Ability to work in any cloud service
  4. Provides automatic Service discovery. So, pods may come and go, IP address and port will remain the same.
  5. Automatic load balancing and resource allocation tracking which allows automatic scale up and down according to requirement
  6. Replication controller allows self-healing of containers by automatic restart and replication features
  7. Provides infrastructure layer abstraction allowing engineers to focus solely on application development and deployment
  8. Can be deployed and run on pre-existing on-premise datacenter as well as public cloud making use of shared assets easier.

Through a comprehensive analysis of jobs data, CareerSkillz found that demand for Kubernetes in software engineer jobs has gone up by 4 times since 2017. Many major organizations like Netflix, IBM, Infosys have multiple requirements for the software developers with Kubernetes knowledge. By learning these two new skills, get a jumpstart on others and accelerate your career.