Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Here’s Why DevOps Is The New Agile In 2019, And Why It Matters
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Development > Here’s Why DevOps Is The New Agile In 2019, And Why It Matters
DevelopmentExclusive

Here’s Why DevOps Is The New Agile In 2019, And Why It Matters

Megan Wright
Megan Wright
4 Min Read
DevOps is the new agile
Shutterstock Licensed Photo - By Profit_Image
SHARE

In the early days of software development, projects were developed sequentially in a series of steps which was called ?The Waterfall Model.? It was called the waterfall because once you got past a step, you couldn?t climb back up.  Here is a typical waterfall model for software development:

Contents
  • Say Goodbye To The Waterfall
  • DevOps Builds On Agile Methodologies
  • Conclusion
  • Requirements
  • Design
  • Implementation
  • Verification
  • Maintenance

Each step needed to be completed before the next could begin. It took time to develop and changes were difficult to include. When problems were found, developers often had to start all over at the top of the waterfall.

Say Goodbye To The Waterfall

In today?s continuous development cycles, the waterfall method just is not relevant anymore. Thus, the agile methodology was born.  It values individuals and interactions over process and tools. It taught developers to break software down into smaller chunks, develop these chunks, and accelerate feedback loops. It provides for quicker design, collaboration, and a faster launch cycle.

DevOps teams have taken this agile concept to heart by merging software development (the Dev part) and IT operations (the Ops part) into a cohesive team to accelerate delivery. It created agile teams that could work together cross-functionally and iterate quickly.

More Read

online data
3 Incredibly Common Online Course Creation Mistakes with AI
Data Analytics Can Help with REIT Investing
Is Cloud Computing Hurtling Towards Disaster?
6 Big Data Blockchain Projects You Should Know About
Amazon Web Services (AWS) Benefits of Cloud-Based Enterprises

Continuous integration (CI) streamlines the system by using automation to drive products through the system. Each chunk is tested and integrated continuously. This allows for smaller and more frequent updates. Continuous delivery (CD) allows for rapid release software delivery. Tools like Jenkins provide DevOps teams with the ability to automate each stage of the delivery pipeline. It enables a consistent and reliable method to regularly update apps and software.

Using these methods, agile methodologies have been extended across development, integration, testing, and delivery cycles.  While agile methods provide the underpinning for DevOps teams, the collaboration of development and operations teams, coupled with CI and CD, greatly enhances the efficiency of the operation.

  • Faster time to market
  • Ability to build and evolve products
  • Improved efficiency
  • Reliable releases and deliver
  • Improved quality product
  • Improve customer satisfaction

DevOps Builds On Agile Methodologies

You will find many similarities between the traditional agile model and how DevOps teams work together. DevOps is holistic and collaborative with continual feedback loops. Automated systems like JFrog Artifactory and Go Registries allow for rapid builds, tests, releases, monitoring, and revisions.

However, there are differences as well. Agile focuses on the development phase and tends to ignore the operations phase. DevOps provides end-to-end operations from development through delivery. It treats the code no differently whether it is in the development phase, QA, or on a production server. DevOps tends to embrace a more inclusive and wider culture.

DevSecOps teams use the same techniques to remove silos in organizations by folding in other functional areas that play a role. One area that?s emerging is folding in security. So-called DevSecOps teams function as a unit and drive security functions throughout the end-to-end process as part of the culture.

Conclusion

Building on agile methods, the DevOps model breaks down barriers between functional units so that development and operations can work collaboratively across the entire product life cycle. It smooths out hand-off friction and creates operational efficiency.  This accelerates delivery and innovation.

TAGGED:agiledevelopersDevOps
Share This Article
Facebook Pinterest LinkedIn
Share
ByMegan Wright
Follow:
Megan Wright is the Chief Editor for ChamberofCommerce.com. Chamber specializes in helping small businesses grow their business on the web while facilitating the connectivity between local businesses and more than 7,000 Chambers of Commerce worldwide.As a business expert, Megan specializes in reporting the latest business news, helpful tips and reliable resources, as well as providing business advice. She has spent several years exploring topics like analytics, business intelligence and big data in marketing.

Follow us on Facebook

Latest News

AI driven big data company
How AI-Driven Workflows Are Changing the Way Companies Think About Data Risk
Artificial Intelligence Data Management Exclusive Risk Management
ai product development
Why Businesses Outsource AI Product Development Companies
Exclusive News
banking tools
The Fintech and Banking Tools Global Entrepreneurs Rely On
Fintech Infographic
business using business intelligence
How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
Analytics Big Data Exclusive Marketing

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Delivering Data Warehousing and BI Projects using Agile

8 Min Read
big data apps development
Big DataExclusiveMarketing

The Role Of Big Data Marketing In End-To-End App Development

6 Min Read

Agility in Action

2 Min Read
web developer ruby
ExclusiveProgramming

Integrating Sinatra Into Ruby To Expedite Application Development

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?