india Flag2 icon Christmas Special : Upto 40% OFF! + 2 free courses  - SCHEDULE CALL india Flag2 icon

- DevOps Blogs -

What is DevOps Lifecycle? Devops Lifecycle Phases Plan & Measure

What is DevOps Lifecycle?

DevOps defines an agile relationship between development and operations. It is the process practiced by the development team and operational engineers together from beginning to the final stage of the product. Understanding DevOps is not complete without understanding the DevOps lifecycle phases. The continuous DevOps lifecycle includes seven phases as given below.

  • Continuous Development
  • Continuous Integration
  • Continuous Testing
  • Continuous Monitoring
  • Continuous Feedback
  • Continuous Deployment
  • Continuous Operations

A lot can be achieved with the right implementation of DevOps lifecycle, making the production of apps more effective and secured. The fact is that DevOps is the future of production lifecycles that ensures maximum operational efficiencies for the largest global enterprises and this trend will continue to grow in 2020 too.

DevOps – A Buzz or Reality?

In today’s marketplace, there is a need for rapid product development based on the customers feedback and requirement to respond quickly to market shifts. It is no longer suitable to wait for one year to add more features in the next release which in turn also creates extra pressure on the IT team to release a new version swiftly.

The DevOps movement arouses out the critical need here for organizations engaged in continuous development and responds more quickly to the changes. “DevOps” is the software development approach that synthesizes development and operations to achieve agility.”

Gartner believes that DevOps is the culture of practices that supports the agile movement, continuous development, continuous integration, infrastructure changes, continuous delivery etc. Agile movement has always embraced the engineering practices and DevOps automation is now an even more important part of those engineering practices.

DevOps seeks to optimize the development processes not for the one stage but for the complete delivery chain across the entire software delivery lifecycle from the proposal for a new product to the development and deploying it into production.

The goal of agile software development is to deliver a working piece of software at the end of each iteration. DevOps naturally extend this definition and deploys new software versions frequently that are almost continuous. With continuous development, the fragile pieces of a software program are improved or weeded out that contributes to greater reliability and maximum quality. What is DevOps Lifecycle?

DevOps Training & Certification Course

  • No cost for a Demo Class
  • Industry Expert as your Trainer
  • Available as per your schedule
  • Customer Support Available

DevOps Lifecycle – It is all about “continuity”

There are a total of seven phases in the DevOps lifecycle – Continuous development, continuous integration, continuous testing, continuous delivery, continuous feedback, continuous deployment, and continuous operations. Let us discuss each of the DevOps lifecycle phases below.

Read: What Is Devops Tools? Top 12 DevOps Automation Tools

1). Continuous Development

(Plan application objectives and Code the requirements)

In the first phase of DevOps lifecycle, you should plan your application objectives that must be delivered to the customer.

Once you are sure of application objectives, start with the project development. It includes activities like code generation and putting the same to the next phase. As DevOps follows the continuous development approach, work may carry out on the existing code by using continuous feedback in the development and operation scheme.

2). Continuous Integration

(Plan Tests and Build the product)

The continuous integration process automatically starts after development. It includes several steps like the planning of tests that will be carried out in the next phase, understanding the code to produce the desired outcome as needed in the initial project documentation. Continuous integration is the seamless process in DevOps that leads to the next phase in an efficient manner.

3). Continuous Testing

(Verify the product for actual usage in a live environment)

Testing process checks the actual use of an application in the DevOps. Beta testers produce results while still ensuring that application can have its intended use in a live environment. The testing process gives more information about different aspects of an application that in turn is sent to the development process to improve the application.

4). Continuous Monitoring

(Monitor the product output and find the problem areas)

The monitoring phase is the operational phase in DevOps where key information about application usage is recorded and carefully processed to find out trends and identify the problem areas. It enhances the operational efficiencies of a software product that may occur in the form of documents or produce massive data about application parameters when the application is in a continuous use position.

5). Continuous Feedback

(Improvise the current product and helps to release new versions quickly)

Read: What is Git? Git Tutorial Guide for Beginners

The application performance is improved consistently by analyzing the final outcome of the product. The continuous feedback is an important phase of the software application where customer feedback is a big asset to improve the working of the current software product and release new versions quickly based on the response.

6). Continuous Deployment

(Ensures product is deployed with maximum accuracy)

The deployment process is performed in such a way that any changes made in the code should not affect the functioning of high traffic website.

7). Continuous operations

(Automate release process with shorter development cycles)

All DevOps operations are based on continuity with complete automation of the release process and allow organizations to accelerate the overall time to market on an ongoing basis.

It is clear from the discussion that continuity is the critical factor in DevOps removing the abundant steps that often distract the development, take it longer to detect issues, and producing a better version of the product after several months. With DevOps, you can make any software product more efficient and increase the overall count of interested customers in your product. Let us see how businesses are benefitted through DevOps deployment.

DevOps adoption enables businesses to Revive the Pace

DevOps is a practical and valuable asset for organizations because of its numerous measurable benefits through continuous integration and continuous delivery without compromising on the quality of software products or services. Here is the list of benefits why businesses should adopt DevOps to revive the pace.

Improved Customer Experiences

DevOps is a culture of principles defining collaboration between development and ops team to produce the faster result in development cycles, reply on cost controls, and timeliness improves ROI.

Digital Transformation

DevOps is a strategy of successful digital transformation for every industry using technology innovations and industries are able to deliver digital solutions at maximum speed or quality.

Breaking down silos

The DevOps incorporation breaks down common barriers and reduces unnecessary supplicate work too. DevOps increases collaboration among team members from all disciplines responsible for product development or delivery and ultimately results in more stable business environments.

Read: How To Learn DevOps Online? Complete DevOps Tutorial!

Easy detection of defects

With the intervention of DevOps collaboration, modular programming, and iterative development, code defects are detected and resolved much quicker than your expectations. It enables maximum efficiency and chances of product failure become negligible.

Faster Development Cycles

With DevOps collaboration and automation features, improvements are achieved in the shorter development lifecycles and make sure that products can be released reliably at the right time.

When you know why businesses should implement DevOps lifecycle, you should have a DevOps partner to understand its advantages and use cases. An expert DevOps team can assist you to fasten the application development and delivery. So, DevOps was a buzz in the technical marketplace till yesterday and industries are implementing DevOps at a high rate today. Companies that practice DevOps are able to perform far better than those who do not practice the same.

DevOps Training & Certification Course

  • Personalized Free Consultation
  • Access to Our Learning Management System
  • Access to Our Course Curriculum
  • Be a Part of Our Free Demo Class

Conclusion

DevOps is an excellent way of carrying out the application development that significantly improves the application performance for business and allows end-users to directly contribute to the application development process by sharing relevant feedback from the operational phase. It is a methodology that we will continue to see in the future as the top option for developing dynamic apps that evolves constantly to meet tough business challenges.

With the increased DevOps adoption, job options are getting wider for DevOps learners. To make yourself a proficient DevOps resource, you should prepare yourself for the practical aspects of the technology and learn how to implement the same in the job field.



fbicons FaceBook twitterTwitter lingedinLinkedIn pinterest Pinterest emailEmail

     Logo

    JanBask Training

    A dynamic, highly professional, and a global online training course provider committed to propelling the next generation of technology learners with a whole new way of training experience.


  • fb-15
  • twitter-15
  • linkedin-15

Comments

Trending Courses

Cyber Security Course

Cyber Security

  • Introduction to cybersecurity
  • Cryptography and Secure Communication 
  • Cloud Computing Architectural Framework
  • Security Architectures and Models
Cyber Security Course

Upcoming Class

12 days 04 Jan 2025

QA Course

QA

  • Introduction and Software Testing
  • Software Test Life Cycle
  • Automation Testing and API Testing
  • Selenium framework development using Testing
QA Course

Upcoming Class

5 days 28 Dec 2024

Salesforce Course

Salesforce

  • Salesforce Configuration Introduction
  • Security & Automation Process
  • Sales & Service Cloud
  • Apex Programming, SOQL & SOSL
Salesforce Course

Upcoming Class

7 days 30 Dec 2024

Business Analyst Course

Business Analyst

  • BA & Stakeholders Overview
  • BPMN, Requirement Elicitation
  • BA Tools & Design Documents
  • Enterprise Analysis, Agile & Scrum
Business Analyst Course

Upcoming Class

4 days 27 Dec 2024

MS SQL Server Course

MS SQL Server

  • Introduction & Database Query
  • Programming, Indexes & System Functions
  • SSIS Package Development Procedures
  • SSRS Report Design
MS SQL Server Course

Upcoming Class

4 days 27 Dec 2024

Data Science Course

Data Science

  • Data Science Introduction
  • Hadoop and Spark Overview
  • Python & Intro to R Programming
  • Machine Learning
Data Science Course

Upcoming Class

11 days 03 Jan 2025

DevOps Course

DevOps

  • Intro to DevOps
  • GIT and Maven
  • Jenkins & Ansible
  • Docker and Cloud Computing
DevOps Course

Upcoming Class

3 days 26 Dec 2024

Hadoop Course

Hadoop

  • Architecture, HDFS & MapReduce
  • Unix Shell & Apache Pig Installation
  • HIVE Installation & User-Defined Functions
  • SQOOP & Hbase Installation
Hadoop Course

Upcoming Class

5 days 28 Dec 2024

Python Course

Python

  • Features of Python
  • Python Editors and IDEs
  • Data types and Variables
  • Python File Operation
Python Course

Upcoming Class

4 days 27 Dec 2024

Artificial Intelligence Course

Artificial Intelligence

  • Components of AI
  • Categories of Machine Learning
  • Recurrent Neural Networks
  • Recurrent Neural Networks
Artificial Intelligence Course

Upcoming Class

12 days 04 Jan 2025

Machine Learning Course

Machine Learning

  • Introduction to Machine Learning & Python
  • Machine Learning: Supervised Learning
  • Machine Learning: Unsupervised Learning
Machine Learning Course

Upcoming Class

4 days 27 Dec 2024

 Tableau Course

Tableau

  • Introduction to Tableau Desktop
  • Data Transformation Methods
  • Configuring tableau server
  • Integration with R & Hadoop
 Tableau Course

Upcoming Class

5 days 28 Dec 2024

Search Posts

Reset

Receive Latest Materials and Offers on DevOps Course

Interviews