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3 posts tagged with "customer feature request"

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Feature Flag Variations: Structured Values for Multivariate and JSON Workflows

· 4 min read
Csilla Kisfaludi
Tech support by day, movie addict by night, crazy cat lady 24/7.

If you’ve ever wished your feature flag values worked more like enums, this update is for you.

Over the past years, we kept hearing the same request in different forms:

  • “Can we have enum-like values for feature flags?”
  • “Can we avoid people mistyping values?”
  • “Can we define JSON values once and just select it?”
  • “Can we separate flag definitions from rollouts?”

This usually came up when teams started using multivariate feature flags or working with more complex JSON feature flags.

Free-form values are flexible. But when feature flags become operational tools, toggled by Customer Success, Sustainment teams, or junior teammates, flexibility without guardrails becomes a risk.

So we built Predefined variations.

ConfigCat Predefined Variations cover image

How We Support Our Customers

· 8 min read
Zayyad Muhammad Sani
You live, you learn.

If there's one thing we don't tolerate here at ConfigCat, that's terrible customer support. Our customers are important to us, and we try our best to provide all the help we can so that they get the best out of our services. In this article, we'll look at how we ensure that our customers have a hassle-free experience when using our service.

Various means of support

Primary and Secondary SDK Key Rotation Feature Intro

· 3 min read
David Herbert
Turning deep tech into stories developers actually want to read.

There's nothing more frustrating than writing up a thoughtful, intentional feature request to your favorite service provider and then not getting a response or subsequent feedback.

At ConfigCat, we understand the importance of feature requests because we know that our service becomes more successful when our customers are happy and their needs are met.

As a result, we keep track of each of our customers' feature requests to help us make informed product decisions and implement the features that matter most.