Building and maintaining complex software goes beyond writing code and debugging. To ensure the success of large, complex software projects, developers need clear-cut processes from ideation through to delivery and maintenance. A software development lifecycle (SDLC) offers that. But what exactly is a software development lifecycle? How does it work? And why is it necessary? This article answers these questions and more.
Let's say you've heard about the benefits of using feature flags for gradual feature rollouts, and you're ready to adopt them in your organization. The next step would be deciding whether to "build or buy."
If you choose to develop your feature flagging tool, you'll need to figure out how to make it fetch, evaluate, and manage feature flags. If you want to use a third-party tool, you might have to learn and unlearn different APIs as you search for the right one.
Challenges like these inspired the creation of OpenFeature, a CNCF (Cloud Native Computing Foundation) project that aims to standardize feature flagging.
Feature flags are powerful tools for managing new releases. They let developers toggle features on and off without modifying the underlying code. This method, known as feature flagging, provides flexibility for rolling out updates gradually to specific user groups.
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 business and marketing, decision-makers and user personas are like chess pieces. One, the decision maker, holds the power, making key moves that decide the fate of products and strategies. The other, the user persona, embodies the target audience, guiding the direction of marketing efforts and product development.
