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Join us at AWS re:Invent 2025
Visit us at booth #1339!
Neha Julka
New Experimentation tools for PMs who test, learn, and move fast
Test, learn, and ship faster with new Experimentation tools.
Allison Rogers
Delivering adaptive AI with LaunchDarkly and Snowflake Cortex
LaunchDarkly & Snowflake enable AI delivery with real-time config and runtime safety.
Neha Julka
Less clutter, more control: Manage flag permissions at scale
Preset Role Scope and Flag Lifecycle Settings can help you issue cleaner, faster releases.
Bhargav Brahmbhatt
Understanding AI behavior: LLM observability in AI Configs
Get deeper visibility into model behavior and impact with LLM observability.
Kelvin Yap
The Metrics glow-up: Smoother, smarter, simpler
Experience a faster, simpler way to build, manage, and trust your metrics.
Sruthy Kumar
Prompt Engineering Best Practices
Poorly written prompts can throw entire AI projects off track.
LaunchDarkly
Our October 20 Service Disruption: What Happened, What We Learned and How We’re Improving
Sonesh Surana
Accelerating release safety with LaunchDarkly Vega and GitHub
Using Vega and GitHub together increases your release control plane.
Neha Julka
Multiple Multi-Armed Bandits
Run multiple MABs on one flag to optimize experiences in parallel.
Scott Shindeldecker
Dig deeper into the data powering your charts
Explore the data behind your charts to validate results and make informed decisions
Neha Julka
The developer's guide to free feature flagging services
Feature flags let you deploy code safely, test in production, and roll back instantly.
Jesse Sumrak
How to learn more from the features you ship
Turn every feature into a chance to learn.
Allison Rogers
Self-healing software with release observability
Ship faster, sleep easier, and catch bugs before your customers do.
Kellye King
Data Export: Now available for BigQuery and Databricks
Export to BigQuery and Databricks in a few clicks.
Allison Rogers
The ecommerce metrics that turn browsers into buyers
Identify the lifecycle metrics that tie customer actions directly to revenue, loyalty, and long-term growth.
Neha Julka
Configuring the OpenTelemetry Collector for AWS Firehose
Vadim Korolik
How we built logging as a service with Clickhouse
Vadim Korolik
LLM RAG Tutorial: How to Build a Reliable Retrieval Pipeline
Retrieval Augmented Generation (RAG) integrates contextual information into LLMs.
LaunchDarkly
Mastering product-centric delivery: accelerating outcomes with feature management and experimentation
Deliver like a product team by moving quickly, testing often, and measuring what works.
Allison Rogers
HBR: Why modern software delivery needs a new risk playbook
Kellye King
Introducing agents, trends, and approvals for AI Configs
Build agent-based workflows, monitor AI behavior, and ship with more control.
Kirsten Ealy
Releasing, measuring, and improving in real time
Close the loop between shipping features and seeing results.
Neha Julka
Less clutter, more insight: Slice metrics from one event
LaunchDarkly now supports filters for Custom Metric Events.
Eric Wang
LaunchDarkly Tops G2 Grid for Feature Management
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