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🧐 SDK Observability Integrations

Statsig Product Updates
< All updates
11/13/2024

Brock Lumbard

Product Manager, Statsig

🧐 SDK Observability Integrations

As Statsig comes to power your product's features, experiments, metrics and more, observing our SDK's performance can become increasingly important. Starting with our Python SDK, we've built an interface for you to consume your SDK's performance statistics and ingest them into your platform of choice (like Datadog).

Initial support will include the metrics:

  • statsig.sdk.initialization - which tracks SDK initialization duration

  • statsig.sdk.config_propagation_diff - which measures the difference between a config's update time and when it reaches your SDK, and

  • statsig.sdk.config_no_update - which tracks occurrences where there are no config updates.

If you'd prefer to not integrate with your SDKs, similar data is available in the Statsig console alongside your SDK Keys & Secrets. If you'd like to see support for this in another SDK, let us know in Slack!

observabilityClient

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OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
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.
Brex
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.
Notion
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.
SoundCloud
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.
Ancestry
Partha Sarathi
Director of Engineering
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