Stories by Neha Julka
Introducing stratified sampling for LaunchDarkly Experimentation
Support fair, reliable experiment outcomes by eliminating hidden sample bias.
Neha Julka
Creating better runtime control with LaunchDarkly and AWS
Ship bold AI changes without the guesswork.
Neha Julka
Join us at AWS re:Invent 2025
Visit us at booth #1339!
Neha Julka
Delivering adaptive AI with LaunchDarkly and Snowflake Cortex
LaunchDarkly & Snowflake enable AI delivery with real-time config and runtime safety.
Neha Julka
Accelerating release safety with LaunchDarkly Vega and GitHub
Using Vega and GitHub together increases your release control plane.
Neha Julka
Data Export: Now available for BigQuery, Databricks, Redshift, and the EU
Export to your data warehouse in a few clicks.
Neha Julka
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
Releasing, measuring, and improving in real time
Close the loop between shipping features and seeing results.
Neha Julka
LaunchDarkly and Snowflake help you build, test, and learn—right where your data lives
LaunchDarkly and Snowflake empower engineering, product, and data teams to do more
Neha Julka
Watch LaunchDarkly and Snowflake in action with our demo
A new way for engineering, product, and data teams to accelerate experimentation.
Neha Julka
LaunchDarkly + Snowflake: Introducing Warehouse Native Experimentation and Product Analytics
New: use Snowflake AI Data Cloud data to measure the impact of LaunchDarkly experiments.
Neha Julka
