65 posts tagged with "feature flags"

Conducting an A/B test experiment is a popular approach to determining which variation of a particular feature works best for your users. This experiment can shape the success of any product or business. Conducting these tests can be tricky and time-consuming, but with the ideal tools, it doesn't have to be.

If you're a Ruby developer, you're in luck. I'll show you how to perform an A/B test experiment in Ruby using ConfigCat feature flags and how to record the results with Amplitude's data analytics platform. Let's get started!

From social media to banking, health monitoring to entertainment, mobile apps have intricately woven themselves into the fabric of our day-to-day activities. This widespread adoption has led to a surge in demand for more sophisticated, user-friendly, and dynamic applications.

In response to this demand, developers and companies are constantly seeking innovative methodologies and tools to streamline the app development process, enhance user experience, and ensure the delivery of high-quality products. This is where feature flags come into play.

Creating an exceptional software product is a challenging task that doesn't end on release day. As developers aim to provide an exceptional user experience, they often revisit features and wonder how they can be improved. Luckily, there are many tools available that can help developers understand pain points and improve their products accordingly.

This article explores how ConfigCat feature flags can be integrated with Amplitude Analytics to uncover unique ways to improve products, complete with a demo.

Suppose you come up with an idea to improve the conversion rates on your website. You could implement the idea and roll out the changes to all users. But what happens if the idea is only good on paper and fails in reality? In cases like this, conducting an A/B test is an excellent way to validate your idea.

In the upcoming sections, we'll learn how to set up an A/B test using ConfigCat feature flags and visualize the test's data in Google Analytics.

In today's fast-paced digital landscape, users expect seamless, high-quality software experiences without interruptions. As developers, our challenge is introducing new features and updates without causing downtime. The solution? Feature flags. With feature flags, you can safely roll out new features gradually, ensuring your application remains fully operational while the development process continues.

Are you a game developer seeking an efficient way to roll out, manage, and control features in your games? Look no further. With ConfigCat's Unreal Engine SDK, you can seamlessly add feature flags directly into your Unreal Engine projects, allowing you to decouple feature releases from deployments. This not only gives you greater flexibility but also helps streamline your feature development process from start to finish. How does it work in practice? Let's dive in.

In a world saturated with e-commerce platforms, the difference between a mere visitor and a loyal customer often hinges on the shopping experience they encounter. Think about it: Why do customers repeatedly flock to giants like Amazon and other online shops with unique offerings? It's the shopping experience, that personal touch—the sensation that the online store knows exactly what they're looking for, even before they do.

Large-scale applications are extensive software applications engineered to handle vast amounts of data, a high number of concurrent users, and complex transactions. They often encompass distributed systems, utilize microservices architecture, and are deployed across various platforms and environments. However, managing large-scale applications presents a unique set of challenges akin to orchestrating a symphony. Like a musical note, each line of code plays a critical role in their grand performance.

As developers, our job often involves regularly releasing new features. But how can we ensure these new features are working properly before safely releasing them to all users? It's simple: by using feature flags!

In a previous post, I covered best practices and tips for using ConfigCat feature flags with Docker. While Docker has advantages for easily sharing and deploying containerized applications, it poses challenges when deploying and managing those containers at scale. This is where Kubernetes comes in. Using feature flags, you can control your Kubernetes deployments and services with a simple click without editing your .yaml config files. Let's take a look together!