All Blog Posts - Page 8

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

Research Report

Aug 08

2024 Survey: Impact of LaunchDarkly on Customer Outcomes

Matt DeLaney

Analyst Report

Aug 06

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

Industry Insights

Jul 30

On Code Coverage in Software Testing

LaunchDarkly

Risk mitigation

Jul 26

4 Risk Mitigation Strategies for Software Releases

Manish Gupta

Feature Flags

Jul 25

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

Progressive Delivery

Jul 22

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

Dan Rogers

Research Report

Jul 22

The Impact of Feature Management on Software Engineering and Business Performance

Matt DeLaney

Experimentation

Jul 16

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

Progressive Delivery

Jul 12

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

Jesse Sumrak

Developer productivity

Jul 09

Ultimate Guide to CI/CD Best Practices to Streamline DevOps

Jesse Sumrak

Jul 02

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

Jun 25

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

Matt Makai

Jun 13

Introducing AI Model and AI Prompt Flags (GA)

Steve Zegalia

Experimentation

Jun 06

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

Developer productivity

May 31