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49 posts tagged with "feature flags"

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· 4 min read
Chavez Harris

Before feature flags, releasing a new feature would require taking your application offline to make changes, then redeploying it. In addition, if you find bugs after the release, you'll have to start the process from scratch. Despite being a traditional approach, this won't serve your users and your business well today. A feature flagging solution allows you to release and even roll back features without downtime with just a few clicks.

Feature flags in go cover

· 7 min read
Chavez Harris

Suppose you have two variations of a software product but you're not sure which one to deploy. The solution would be to conduct an A/B test in which you can release each variation to a small percentage of users. This would allow you to gather concrete evidence from real users to help you decide which variation is better without affecting your entire user base. This type of testing has proven to be useful by many software companies around the world to scale and streamline their products and services.

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· 9 min read
Zayyad Muhammad Sani

A/B testing answers the question: "Which of these versions will bring me better results, A or B?". It allows you to test two variations of a page to see which has a more positive impact. This could mean increased sign-ups for a landing page, more purchases on an e-commerce store, or even smoother user processes in an app. It all depends on what you want to improve. How does A/B testing work though?

A/B Testing Cover

· 8 min read
Chavez Harris

When it comes to releasing new features, it is often difficult to anticipate how users will react and interact with them. This is where A/B testing comes in useful. It provides a mechanism to test and evaluate two variations of an app to determine which is better by releasing them to an isolated user segment before a full deployment. This level of flexibility allows developers to quickly experiment with new features without affecting the production environment.

How to use feature flags in GO cover

· 7 min read
Roxana Halați

In the ever-changing world of programming, it can be difficult to keep up to date with all the latest technologies and frameworks. There's always something newer and cooler that you simply must try.

In this article, I'll guide you through the process of dipping your toes into the .NET MAUI framework and incorporating feature flags along the way. If you're already a seasoned .NET developer, this tutorial might reveal a couple of things you didn't know about feature flags, so don't hesitate to read on.

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· 9 min read
Chavez Harris

Have you ever rolled out a new feature only to discover it is problematic? Situations like this can be costly for your users and organization. Is there a way to avoid this? This is where A/B testing comes in handy. An A/B test involves releasing two variations of your app to a limited number of users to see how they react to them. As part of this process, metrics and feedback from each variation are collected to figure out which one is better.

feature flags ab testing in iOS cover

· 8 min read
Roxana Halați

Sending your code out into the world can be a nerve-wracking experience. Regardless of how much testing you do beforehand, you’re never quite sure if everything will work according to plan. Even if it’s the case, during an applications life-time, you’ll need to redeploy your code many times. Code redeployment means time, money and a lot of hassle.

Fortunately, feature flags are useful tools that can help reduce the need for code redeployment as well as enable you to test your changes in production without affecting the end-user. In this article, I’ll show you how to make use of feature toggles in a React-like framework. So…

feature flags in preact cover

· 8 min read
Chavez Harris

Will showing the number of book copies sold on my website encourage more people to buy it? To answer this question confidently, I can rely upon A/B testing for guidance. This method of testing allows us to evaluate two versions of a website or app by releasing them to different user segments to see which one performs better.

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