All Blog Posts - Page 7

Business in the front, party in the back: creating customized user experiences using Fastify JS and LaunchDarkly

Treating every user the same is risky when they may have different goals, dreams, desires, and features they care about. To provide the best experience, you want to customize your website based on what you know about your users. Luckily, LaunchDarkly makes it easy to do just that. In this tutorial, you will learn how to use segment targeting to show users with a .edu email address a student version of your website using LaunchDarkly and Fastify.

Tilde Thurium

LaunchDarkly Tops G2 Grid® for Feature Management in 2024: What You Need to Know

Eric Rubin

De-Risking Software Releases With Progressive Delivery

Steve Zegalia

What’s New In The 2024 Agile & DevOps Gartner® Hype Cycle™: Feature Management, Experimentation, and AI

Every year, Gartner provides a graphic representation of the maturity and adoption of technologies and applications in the Agile and DevOps space, and how they are potentially relevant to solving real business problems and exploiting new opportunities. They call it a Hype Cycle. This methodology is designed to give a view of how a technology or application will evolve over time, providing a sound source of insight to manage its deployment within the context of your specific business goals.  In this year’s report we see feature management, which has been steadily climbing the slope of enlightenment for years, further incorporating experimentation and starting to intersect technologies like GenAI and AI Code Assistants. 

Steve Zegalia

LaunchDarkly Rolls Out an EU Region

Matt DeLaney

How to instantly flip web app styles with LaunchDarkly's JavaScript client library

Discover how to instantly switch web app styles using LaunchDarkly's feature flags in this JavaScript tutorial. Follow along as we transform DJ Toggle’s fan page from a nostalgic 1995 look to a sleek 2000s style, all controlled by a feature flag. Learn to create and manage feature flags, allowing you to update your app’s appearance without redeploying code. If something goes wrong, simply toggle the flag off to revert to the original style, ensuring a smooth user experience. This step-by-step guide emphasizes risk-free feature rollouts, making your development process safer and more efficient. Explore more ways to innovate confidently with LaunchDarkly’s powerful tools.

Erin Mikail Staples

How to instantly roll back buggy features with LaunchDarkly’s JavaScript client library

LaunchDarkly’s kill switch feature flags are a helpful tool to disable features with a single click rather than going through an entire code deployment. In this tutorial, we’ll use LaunchDarkly's kill switch flags in a JavaScript application. We’ll add a new feature to an example application called "DJ Toggle’s fan page", and wrap it in a feature flag to mitigate risk in the rollout process. Additionally, we’ll explore how to roll back features if we encounter pesky bugs.

Erin Mikail Staples

How to mitigate risk with progressive feature rollouts in Python using LaunchDarkly.

“Works on my machine” can be a standard cop-out for remedying problems within your code base. While yes, things can work great in a small silo errr — one device, rolling out features at scale can increase the potential for risk as more users access a new feature or application.  Roll out new features confidently by leveraging progressive rollouts to identify any issues that may occur as you scale.

Erin Mikail Staples

Using LaunchDarkly to mitigate risk by implementing  Kill Switch flags within your Python application.

One of the best ways to keep innovating with speed while mitigating risk is by implementing feature flags. Using Kill Switch flags can help you swiftly disable potentially problematic features, preventing outages within your application, keeping your user experience top-tier. Let’s work through how to implement Kill Switch flags using LaunchDarkly in a Python application.

Erin Mikail Staples

2024 Survey: Impact of LaunchDarkly on Customer Outcomes

Matt DeLaney

LaunchDarkly Recognized as a Strong Performer in The Forrester Wave™: Feature Management And Experimentation Solutions, Q3 2024

LaunchDarkly has been recognized as a Strong Performer by analyst firm Forrester Research in their recent evaluation, The Forrester Wave™: Feature Management and Experimentation Solutions, Q3 2024. The report underscores the importance for buyers to look for platforms that have a strong core of feature management and progressive release capabilities—a domain where LaunchDarkly believes it excels.

Manish Gupta

On Code Coverage in Software Testing

LaunchDarkly

4 Risk Mitigation Strategies for Software Releases

Manish Gupta

How to build a Pokédex with a Game Mode with Next.js, Vercel, PokeAPI, and LaunchDarkly

Create a Pokédex game using Next.js, Vercel, PokéAPI, and LaunchDarkly. This blog will guide you through building a Pokédex that doubles as a fun quiz game. By leveraging the power of Next.js for dynamic rendering and Vercel for seamless deployment, along with PokéAPI for comprehensive Pokémon data and LaunchDarkly for feature flagging, you’ll have a fully functional and interactive Pokédex. Ready to catch 'em all? Let’s dive in and build your Pokédex together!

Erin Mikail Staples

Let’s Work Together to Make Painful Software Outages a Thing of the Past

Dan Rogers

The Impact of Feature Management on Software Engineering and Business Performance

Matt DeLaney

Running your first A/B test in LaunchDarkly with JavaScript and Next.js

Learn how to set up, run, and analyze an A/B experiment in LaunchDarkly using a pre-built Next.js application. Follow our step-by-step guide to clone the Galaxy Marketplace Example App, configure it, and connect it to LaunchDarkly. After setting up your environment and installing the necessary dependencies, you'll create and test feature flags. Develop a hypothesis, set success metrics, and track user events to evaluate the impact of feature changes. Analyze your experiment data to determine the winning variation and implement changes based on your findings. Enhance user experience, increase conversion rates, and make informed product decisions with LaunchDarkly’s A/B testing capabilities.

Erin Mikail Staples

CI/CD Showdown: Continuous Integration vs. Delivery vs. Deployment

Jesse Sumrak

Ultimate Guide to CI/CD Best Practices to Streamline DevOps

Jesse Sumrak

How to Build a Sentiment Analysis App in Hugging Face Spaces with Interchangeable Models and AI Model Feature Flags

Start your AI journey by building a sentiment analysis app with Hugging Face Spaces and LaunchDarkly AI model feature flags. This tutorial guides you through setting up a Python environment with Streamlit, Transformers, and PyTorch, creating a Hugging Face Space, and using LaunchDarkly to switch between sentiment analysis models dynamically. By leveraging these powerful tools, you can effortlessly analyze text sentiment and experiment with different AI configurations, easily enhancing your machine-learning projects.

Erin Mikail Staples

How to Switch AssemblyAI Speech-to-Text Model Tiers by User Email With LaunchDarkly Feature Flags

Matt Makai

Introducing AI Model and AI Prompt Flags (GA)

Steve Zegalia

How to use funnel experiments in LaunchDarkly

Funnel experiments are more than just another tool in your experimentation toolbox—they’re essential for those who want to understand and optimize for the entire user journey. While A/B testing gives you a magnifying glass for single changes, funnel experiments provide relevant data across a user flow. If experimentation is a way of measuring the impact of a change made, funnel experiments calculate the best versions in a series of events or user flows. If you’re playing drop-off detective, funnel experiments can pinpoint where users vanish into the abyss. This tutorial will teach you how to set up, run, and analyze funnel experiments in LaunchDarkly.

Erin Mikail Staples

DevOps vs. CI/CD: Complete Guide to Better Software Delivery

Jesse Sumrak