Traditional Delivery Methods Are Changing With Time
Successful web startups have demonstrated that releasing frequently is an essential competitive advantage
. The demand on software development companies is to become more responsive, releasing features and new, complete products faster, more often, yet with better quality and reliability than ever. In this article, the five practices of continuous delivery are described briefly.
Continuous Delivery
Its the software development strategy that provides quick and high quality delivery of the software through build, test, and deployment automation.
They focus on whole product-delivery process, including the "fuzzy front end" and the design and analysis of features.
The five practices of continuous delivery helps to create the most efficient path from hypothesis to continuous feedback are:
Start with a minimum viable product (MVP).
Measuring value of features.
Perform just enough analysis up front.
Perform less.
Include feature toggles.
Minimum Viable Product (MVP)
"If you are not embarrassed by [the first version of your product], you've launched too late!" Reid Hoffman, cofounder and chairman of LinkedIn.
Minimum viable product (MVP) is defined as the least possible amount of work you can do to test your business hypothesis. The final product released is a polished one in order to target audience. Representatives from both business and technology are required for checking of MVP. Software development companies of India require User Experience Designer (UX), analysis, testing, development, operations, and infrastructure.
Evaluating the Value of Features
"Metrics are part of your product." John Allspaw, VP of Technical Operations, Etsy.
In the concept named as validated learning, any software developer in India will use actionable metrics are gathered on the basis of the real usage of product. Some of the questions raised here are:
Did the changes in the product improve signup, retention, revenue? Or is it time to pivot?
Which version of our new feature came out better when we did A/B testing?
All our system metrics look okay, but a user reports that our site isn't working. Are we down?
Which features of our product are generating the most revenue?
These questions should be answerable by looking at a dashboard, and the information should be completely auditable. Here the metrics are built into the stories that are being played. This principle might appear to be web-specific, but it is also true of embedded systems and user-installed products.
Implement Analysis Up Front
"You know when you are not doing iterative development when [the] team tries to complete specifications before programming." Bas Vodde, "History of Nokia Test." The software is to be analyzed well before delivering. Input from customers, developers, testers, UX, and users are needed to analyze it. The three main things to be calculated are:
Marginal value of delivering the story.
Marginal cost of delivering the story.
Information required to begin delivering the story.
This discipline of doing just enough analysis needs to continue throughout the lifecycle of the project, with the emphasis on creating very small, incremental stories. This brings us to the next practice, doing less.
Perform Less
"[If] you find yourself running out of room on the cards, use smaller cards." PhlIp (see "Re: [XP] Re: Token definition in User Stories").
Anything bigger should be broken up into smaller bits in order to:
Get constant feedback from users.
Validate the work done.
Preventing big works that are difficult to integrate, test, and deploy.
Constantly test and improve delivery process.
Constantly stripping away functionality until the smallest possible bit of functionality is obtained is difficult but tremendously valuable discipline. Instead of focusing on more features to be incorporated into the release, the focus must be on extra features that can be included. Always there is a tradeoff between getting something out and making sure that everything released is of sufficient quality.
Incorporate Feature Toggles
"Right now, out on Facebook.com, is all the code for every major thing we're gonna do in the next six months and beyond." Chuck Rossi (see TechCrunch discussion about Rossi's May 26, 2011 "Facebook Tech Talk"). Feature toggles is a pattern that control who can see which features. For example, Facebook's Gatekeeper software allows Facebook to control dynamically who can see which features. Feature toggles represent a crucial constraint on the way you break down features into stories.
Important applications of feature toggles are:
Enabling incremental delivery of functionality.
Degrading the service gracefully in the case of unexpected load.
Turning off a problematic feature when a release goes wrong.
Conclusion
Continuous delivery far exceeds traditional delivery methods by reducing the cost of releasing high-quality software, and providing a much richer and faster feedback cycle from users back to product teams. This approach allows the incorporation of the innovative ideas cheaply and safely, mitigating the risk if they don't work out by exposing them to only a small group of users.
by: Holly Maxted
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