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DevOps Tutorial

Home » Data Science » Data Science Tutorials » DevOps Tutorial

Basic

What is DevOps?

Career In Devops

DevOps Lifecycle

Benefits of DevOps

Advantages of DevOps

DevOps Architecture

DevOps Services

DevOps Principles

DevOps Engineer

DevOps Methodology

DevOps Automation

DevOps Tools

DevOps Automation Tool

DevOps Testing Tools

Continuous Integration in DevOps

DevOps Testing

DevOps Tutorial

DevOps is a combination of two terms namely Development and Operations. It allows both to work simultaneously thus making the overall project a quality project and it doesn’t let other core developers or operators work individually rather they must put a combined effort to achieve the target. DevOps tutorial can help you learn new tools and as part of continuous integration and continuous development, it will help to learn project management with tools like Kubernetes, Docker, Openstack, Jenkins, Git, Ansible, etc. Tutorials on DevOps will help in providing insights on tools and techniques which are useful for project management.

Why Do we need to learn DevOps?

DevOps has come a long way and has become a necessity to be learned. Its main aim is to learn overall project management with the development and Operations team putting a combined effort. Why it has become a need to be learned is to overcome the traditional way of software development and to mitigate the consumption of overall time and quality of the product which is being developed and goes into production.

  • Earlier all the teams used to follow the old conventional ways of development and testing independently lack of mutual coordination and chaos created the need for DevOps indeed.
  • As it includes continuous integration and continuous deployment it is faster and effective.
  • The software must undergo several stages or phases of the DevOps lifecycle which makes the entire software more qualitative.
  • Builds provided to the end customer are also more satisfactory.
  • Manual code deployment becomes a big no as it leads to a series of errors.

Applications of DevOps

There are many applications that exist and depend on automation, monitoring, continuous integration and continuous deployment overall in DevOps.

  • Payroll systems or ledgers which can keep a track on your salary or any record-oriented data.
  • A financial management system that is associated with any investment-related queries, employee’s retirement investigation queries.
  • Crew scheduling manager which will take care of the scheduling of flights and then flight timings.
  • Healthcare industry to store patient information, correlate test data and medication needed to be given.
  • Entertainment industry taking amazon and amazon prime services using DevOps at its peak.

Example

A brief example of how DevOps work with the applications. Payroll systems are the applications that keep records on the system and those systems are stable and not more frequent updates must be made therefore it makes use of DevOps according to the requirement. 

Prerequisites

There are certain pre-requisites that every organization or technocrats are needed to perform any kind of technological innovation.

Below are the mentioned and followed pre-requisites.

  • Improved Organizational Structure
  • Agility
  • A metric or a measure
  • Culture and innovation
  • Automation
  • Quality product
  • Enhanced Project Management
  • Improvised team management
  • Continuous development with continuous deployment

Target Audience

The target audience includes learners who want to learn the technology and want to explore the area of DevOps or continuous development and continuous deployment with innovation and involves:

  • IT engineers
  • Infrastructure engineers
  • Project managers
  • IT analysts
  • Testers for Automation
  • DevOps Engineers
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