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docs: fix typos in the intro
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Signed-off-by: Michael Beemer <beeme1mr@users.noreply.github.com>
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beeme1mr authored May 10, 2024
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_flagd_ is a _feature flag evaluation engine_.
Think of it as a ready-made, open source, OpenFeature-compliant feature flag backend system.

With flagd you can:
With flagd, you can:

* modify flags in real time
* modify flags in real-time
* define flags of various types (boolean, string, number, JSON)
* use context-sensitive rules to target specific users or user-traits
* use context-sensitive rules to target specific users or user traits
* perform pseudorandom assignments for experimentation
* perform progressive roll-outs of new features
* aggregate flag definitions from multiple sources
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It doesn't include a UI, management console or a persistence layer.
It's configurable entirely via a [POSIX-style CLI](./reference/flagd-cli/flagd.md).
Thanks to it's minimalism, it's _extremely flexible_; you can leverage flagd as a sidecar alongside your application, an engine running in your application process, or as a central service evaluating thousands of flags per second.
Thanks to its minimalism, it's _extremely flexible_; you can leverage flagd as a sidecar alongside your application, an engine running in your application process, or as a central service evaluating thousands of flags per second.

## How do I deploy flagd?

flagd is designed to fit well into a variety of infrastructures, and can run on various architectures.
It run as a separate process or directly in your application (see [architecture](./architecture.md)).
flagd is designed to fit well into a variety of infrastructures and can run on various architectures.
It runs as a separate process or directly in your application (see [architecture](./architecture.md)).
It's distributed as a binary, container image, and various libraries (see [installation](./installation.md)).
If you're already leveraging containers in your infrastructure, you can extend the docker image with your required configuration.
You can also run flagd as a service on a VM or a "bare-metal" host.
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