All Blog Posts - Page 10
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
Smoke Signals: A Comprehensive Guide to Smoke Testing in Software Development
LaunchDarkly
Galaxy ‘24 Product Release
Claire Vo
Release Assistant: Introducing Automation, Monitoring, and UX Improvements
Steve Zegalia
Embed powerful experiments into every feature release with LaunchDarkly
Cameron Savage
Automatically catch bugs before they're outages: meet Release Guardian
Kellye King
Announcing New LaunchDarkly Extensions for GitHub Copilot: AI-Powered Feature Management
Steve Zegalia
The LaunchDarkly CLI: Stay in Developer Flow State
Karishma Irani
Meet the New and Improved LaunchDarkly Experience
Steve Zegalia
Split Alternatives for Feature Flag Management and Experimentation
Amelie Sutsakhan
LaunchDarkly Joins EU-US Data Privacy Framework
Yev Feinstein
Experimentation in LaunchDarkly: feature roundup
Release meets experimentation Pairing feature management and release with experimentation is a natural fit for building exceptional user experiences. This combination allows you to understand the business impact of every release, from major features to minor bug fixes. You will no longer be rolling the dice and hoping for the best—experimentation allows you to measure, analyze, and fine-tune your product based on user data. Having feature management and experimentation built into the same tooling and processes reduces the potential technical debt or miscommunication that can occur when bouncing between tools. Let’s dive into LaunchDarkly’s experimentation feature set and see what is possible.
Erin Mikail Staples
Guide to software release versioning best practices
Erin Mikail Staples
5 best practices for getting started with LaunchDarkly
Set up your first project, choose an SDK, and start using feature flags.
Peter McCarron
What Are Software Deployments? Methodology + Best Practices
Peter McCarron
6 Deployment Strategies (and How to Choose the Best for You)
LaunchDarkly
Modern DevOps: The Shift to Operating Continuously
Brian Rinaldi
Introducing Custom Defaults for Flag Templates
Steve Zegalia
Top 4 Release Management Trends for 2024
Eric Rubin
LaunchDarkly wins 2024 DEVIES Award for Enterprise Development and Integration Solutions
LaunchDarkly
5 Ways LaunchDarkly Outshines DIY Feature Flags
Brian Rinaldi
What is mobile app A/B testing? Benefits and best practices
Learn what mobile app A/B testing is, how it works, common use cases, and what the benefits are.
Erin Mikail Staples
