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Frequently Asked Questions
A curated summary of the top questions asked on our Slack community, often relating to implementation, functionality, and building better products generally.
How can I listen to Experiment changes from an AWS lambda without using the Console API key?
Date of slack thread: 4/2/24
Mt dev: Hello Team, I am trying to listen to Experiment changes from an AWS lambda. Can you help me to identify the best approach?
- I don’t want to use the console api key as I only want to read changes. Is there any way we could restrict permissions on console api key?
- If I use the Webhook integration to listen to the config changes I can also accomplished what needs to be done, But the event description is not very user friendly and it has to be relying on the formatting of the description to identify each event. Is there any way we could customise the events to have specific information we need without replying on the description. (such as “If experiment is finished - send the winning version”)?
tore (Statsig): Could you combine these two approaches? Use (2) to get the trigger to your lambda, and then (1) to query for the state of the experiment?
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Why the best build with us
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
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Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
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Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
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Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
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Partha Sarathi
Director of Engineering