Hey are you planning to include a way of updating the value of a feature flag in the sdk for JavaScript? Something like:

gb.updateFeatureFlag('feature-flag-key', true);

Just joined and am trying to gain an understanding of the self-hosted option so that I can advise my boss on whether this is a good solution for us (only been on the job for two-and-a-half weeks, so don't want to screw up). In particular I am trying to get my mind around feature flags and what is the environment to get them to work. Running it locally seems pretty straightforward, as everything runs in a docker container and presumably I just need to have one of these in my local docker environment. Things get a little murkier when I think about how this would work in our qa environment and then again in our production environment. Ours is a web app running in the cloud. So would we then need to have a docker container also running in our qa cloud environment and our production environment? And would the feature-flag-enabled application interact with these at run-time? Or is it somehow possible to put all feature-flag information in a configuration file of some kind that the application could consult to know how to manage the features? Please excuse my ignorance, but I really just started looking at this this morning and am trying to get an overview as quickly as possible. Thanks much.

We are running an experiment . We have allocated 10% of traffic to the A/B experiment. Now we want to ramp up the traffic to 50% without disturbing the user experience? I have few question. 1. Will the ramping up will lead to resampling of the users? 2. Is there any chance that previous users who are part of the experiment may be thrown out of the experiment? 3. How do we ensure that resampling does not happen and users are not thrown out of the experiment?

Hi. We use GB to run A/B tests, often with many variations. Often, when developing or QAing a change, we'll want to force a specific variation to be served. Currently, we have two ways to do this: • Serve 100% of that variation on Staging environment. ◦ This is annoying because it requires that we go into GB for each change, and for larger changes when we want multiple people to review, it requires lots of coordination etc • Use incognito or multiple browsers and re-open/refresh so that we get a new user id and thus served a new version ◦ This is annoying because its non-deterministic and doesn't work if the A/B test is being run deeper into the experience I'm wondering if theres a good way / known pattern to allow for forcing a specific version without modifying the split.

Hi, is there a way to change the table that the experiments in growthBook look for? "viewed_experiment" does not align with our naming standards

Hi everyone! I'm starting to look at GrowthBook and I had a question about the DB side of things. Has any testing been done with Cosmos DB MongoDB API 4.0? It's 95% compatible with MongoDB, but it's that 5% that can come back and bite you, so I'm wondering if anyone's running on that in production.

Hi - We are looking to self host Growthbook for a POC, and will host the required components in Azure. Is using Cosmos DB or MongoDB Atlas on Azure instead of a standalone Mongo DB instance a tested and valid configuration ?

Hey guys. I’m starting with the javascript SDK implementation so I can do server side feature flag checking on my expressjs backend. As first shot, I added a new “GrowthBook middleware” that creates and setup a new GrowthBook object context for every request that needs a feature flag check. Can you imagine a better memory-optimized solution for an expressjs backend?

Hey there! 👋 I’m trying to understand (i.e. replicate in a spreadsheet) how the

Chance to Beat Control

and

Risk of Choosing

statistics are calculated. Is there a toy example that shows how these calculations are done? (say on a sample dataset)

Hey there, I have a question regarding the topology of Growthbook (self-hosted solution) - it might be in the documentation, but I might have missed it. • Is Growthbook able to run on multiple instances (to ensure high availability), and if so, is that an active/active setup or an active/passive set up?