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chore: docs rework #927

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2 changes: 0 additions & 2 deletions .github/workflows/build.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -8,14 +8,12 @@ on:
paths-ignore:
- "README.md"
- "docs/**"
- "web-docs/**"
pull_request:
branches:
- main
paths-ignore:
- "README.md"
- "docs/**"
- "web-docs/**"

env:
GO_VERSION: '1.20'
Expand Down
3 changes: 2 additions & 1 deletion .gitignore
Original file line number Diff line number Diff line change
Expand Up @@ -14,4 +14,5 @@ go.work.sum
bin/

# built documentation
site
site
.cache/
3 changes: 3 additions & 0 deletions .gitmodules
Original file line number Diff line number Diff line change
Expand Up @@ -4,3 +4,6 @@
[submodule "spec"]
path = spec
url = https://github.com/open-feature/spec.git
[submodule "schemas"]
path = schemas
url = https://github.com/open-feature/schemas.git
5 changes: 5 additions & 0 deletions .markdownlint-cli2.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -11,9 +11,14 @@ config:
- br
github-admonition: true
max-one-sentence-per-line: true
code-block-style: false # not compatible with mkdocs "details" panes

ignores:
- "**/CHANGELOG.md"
- "docs/specification"
- "node_modules"
- "tmp"
- "**/protos.md" # auto-generated
- "schemas" # submodule
- "spec" # submodule
- "test-harness" # submodule
19 changes: 18 additions & 1 deletion Makefile
Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,8 @@ ZD_CLIENT_IMG ?= zd-client:latest
FLAGD_PROXY_IMG ?= flagd-proxy:latest
FLAGD_PROXY_IMG_ZD ?= flagd-proxy:zd

DOCS_DIR ?= docs

workspace-init: workspace-clean
go work init
$(foreach module, $(ALL_GO_MOD_DIRS), go work use $(module);)
Expand Down Expand Up @@ -105,4 +107,19 @@ markdownlint:
$(MDL_CMD) davidanson/markdownlint-cli2-rules:$(MDL_DOCKER_VERSION) "**/*.md"

markdownlint-fix:
$(MDL_CMD) --entrypoint="markdownlint-cli2-fix" davidanson/markdownlint-cli2-rules:$(MDL_DOCKER_VERSION) "**/*.md"
$(MDL_CMD) --entrypoint="markdownlint-cli2-fix" davidanson/markdownlint-cli2-rules:$(MDL_DOCKER_VERSION) "**/*.md"

.PHONY: pull-schemas-submodule
pull-schemas-submodule:
git submodule update schemas

.PHONY: generate-proto-docs
generate-proto-docs: pull-schemas-submodule
docker run --rm -v ${PWD}/$(DOCS_DIR)/reference/specifications:/out -v ${PWD}/schemas/protobuf:/protos pseudomuto/protoc-gen-doc --doc_opt=markdown,protos-with-toc.md schema/v1/schema.proto sync/v1/sync_service.proto \
&& echo '<!-- WARNING: THIS DOC IS AUTO-GENERATED. DO NOT EDIT! -->' > ${PWD}/$(DOCS_DIR)/reference/specifications/protos.md \
&& sed '/^## Table of Contents/,/#top/d' ${PWD}/$(DOCS_DIR)/reference/specifications/protos-with-toc.md >> ${PWD}/$(DOCS_DIR)/reference/specifications/protos.md \
&& rm -f ${PWD}/$(DOCS_DIR)/reference/specifications/protos-with-toc.md

.PHONY: run-web-docs
run-web-docs: generate-docs generate-proto-docs
docker run --rm -it -p 8000:8000 -v ${PWD}:/docs squidfunk/mkdocs-material
8 changes: 4 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@

## What's flagd?

Flagd is a feature flag daemon with a Unix philosophy. Think of it as a ready-made, open source, OpenFeature compliant feature flag backend system.
Flagd is a feature flag daemon with a Unix philosophy. Think of it as a ready-made, open source, OpenFeature-compliant feature flag backend system.

## Features

Expand Down Expand Up @@ -87,7 +87,7 @@ Experiment with flagd in your browser using [the Killercoda tutorial](https://ki
--uri file:./etc/flagd/example_flags.flagd.json
```

`--uri` can be a local file or any remote endpoint. Use `file:` prefix for local files. eg. `--uri file:/path/to/example_flags.flagd.json`. `gRPC` and `http` have their own requirements. More information can be found [here](docs/configuration/configuration.md#uri-patterns).
`--uri` can be a local file or any remote endpoint. Use `file:` prefix for local files. eg. `--uri file:/path/to/example_flags.flagd.json`. `gRPC` and `http` have their own requirements. More information can be found [here](./docs/reference/sync-configuration.md#uri-patterns).

Multiple `--uri` parameters can be specified. In other words, flagd can retrieve flags from multiple sources simultaneously.

Expand Down Expand Up @@ -120,7 +120,7 @@ Experiment with flagd in your browser using [the Killercoda tutorial](https://ki

Updates to the underlying flag store (e.g. JSON file) are reflected by flagd in realtime. No restarts required.

flagd also supports boolean, integer, float and object flag types. Read more on the [evaluation examples page](docs/usage/evaluation_examples.md)
flagd also supports boolean, integer, float and object flag types.

4. Now that flagd is running, it is time to integrate into your application. Do this by using [an OpenFeature provider in a language of your choice](https://github.com/open-feature/flagd/blob/main/docs/usage/flagd_providers.md).

Expand All @@ -130,7 +130,7 @@ Experiment with flagd in your browser using [the Killercoda tutorial](https://ki

## 📝 Further Documentation

Further documentation including flagd configuration options, fractional evaluation, targeting rules and flag configuration merging strategies can be found [on this page](docs/README.md).
Further documentation including flagd configuration options, fractional evaluation, targeting rules and flag configuration merging strategies can be found at [flagd.dev](https://flagd.dev/), or [in this repository](./docs/index.md).

## 🫶 Contributing

Expand Down
76 changes: 0 additions & 76 deletions docs/README.md

This file was deleted.

45 changes: 45 additions & 0 deletions docs/architecture.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,45 @@
# Architecture

flagd architectures fall into two broad categories: those where the evaluation engine is deployed in a standalone process to which the client application connects ([RPC](#rpc-evaluation)), and those where the evaluation engine is embedded into the client application ([in-process](#in-process-evaluation)).

## RPC vs In-Process Evaluation

### RPC evaluation

In RPC-based deployments one or more flagd instances deployed and exposed to client applications in your infrastructure.
flagd RPC providers use HTTP or gRPC to request flag evaluations from flagd.
The request payload contains the [flag key](https://openfeature.dev/specification/glossary#flag-key) identifying the flag to be evaluated, as well as the relevant [evaluation context](https://openfeature.dev/specification/glossary#evaluation-context).
The flagd instance is configured to watch one or more [syncs](./concepts/syncs.md), and merges them to build its set of flags (see [here](./concepts/syncs.md#merging) for more details on flag definition merging).
When sync sources are updated, flagd will send notifications to clients that flags have changed, enabling applications to react to changes by re-evaluating flags.

This architecture is can be leveraged by very simple clients, since no in-process engine is needed; in fact, you can evaluate flags directly from a terminal console using the `cURL` utility.
One disadvantage of this pattern is the latency involved in the remote request (though flagd typically takes <10ms for an evaluation, and can evaluate thousands of flags per second).

```mermaid
---
title: RPC Evaluation
---
erDiagram
flagd ||--o{ "sync (file)" : watches
flagd ||--o{ "sync (http)" : polls
flagd ||--o{ "sync (grpc)" : "sync.proto (gRPC/stream)"
flagd ||--o{ "sync (kubernetes)" : watches
"client app (+ flagd RPC provider)" ||--|| flagd : "evaluation.proto (gRPC/stream) / HTTP"
```

### In-Process evaluation

In-process deployments embed the flagd evaluation engine directly into the client application through the use of an [in-process provider](./deployment.md#in-process).
The in-process provider is connected via the sync protocol to an implementing [gRPC service](./concepts/syncs.md#grpc-sync) that provides the flag definitions.
This pattern requires an in-process implementation of the flagd evaluation engine, but has the benefit of no I/O overhead, since no inter-process communication is required.

```mermaid
---
title: In-Process Evaluation
---
erDiagram
"client app (+ flagd in-process provider)" ||--|| "sync (grpc)" : "sync.proto (gRPC/stream)"
```

<!-- TODO: add link to sync protocol reference entry -->
<!-- TODO: we might want a dedicated Kubernets section here eventually to talk about the specifics of the K8s implementation -->
22 changes: 22 additions & 0 deletions docs/assets/demo.flagd.json
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@@ -0,0 +1,22 @@
{
"flags": {
"show-welcome-banner": {
"state": "ENABLED",
"variants": {
"on": true,
"off": false
},
"defaultVariant": "off"
},
"background-color": {
"state": "ENABLED",
"variants": {
"red": "#FF0000",
"blue": "#0000FF",
"green": "#00FF00",
"yellow": "#FFFF00"
},
"defaultVariant": "red"
}
}
}
10 changes: 10 additions & 0 deletions docs/assets/logo-white.svg
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24 changes: 24 additions & 0 deletions docs/concepts/feature-flagging.md
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@@ -0,0 +1,24 @@
# Feature Flagging

Feature flags are a software development technique that allows teams to enable, disable or change the behavior of certain features or code paths in a product or service, without modifying the source code.

## OpenFeature Compliance

[OpenFeature](https://openfeature.dev/) is an open standard that provides a vendor-agnostic, community-driven API for feature flagging.
The flagd project is fully OpenFeature-compliant.
In fact, flagd was initially conceived as a reference implementation for an OpenFeature backend, but has become a powerful tool in its own right.
For this reason, you'll find flagd's concepts and terminology align with that of the OpenFeature project.
Within the context of an OpenFeature-compliant feature flag solution, flagd artifacts and libraries comprise the [flag management system](https://openfeature.dev/specification/glossary#flag-management-system) and [providers](https://openfeature.dev/specification/glossary#provider).
These artifacts and libraries alone won't allow you to evaluate flags in your application - you'll also need the [OpenFeature SDK](https://openfeature.dev/specification/glossary#feature-flag-sdk) for your language as well, which provides the evaluation API for application developers to use.

## Supported Feature Flagging Use-Cases

Below is a non-exhaustive table of common feature flag use-cases, and how flagd supports them:

| Use case | flagd Feature |
| ----------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| flag evaluation | Returns the value of a particular feature flag, if the flag is enabled. Supports flags of various types including boolean, numeric, string, and JSON. |
| dynamic configuration | Flag definitions from any sync source are monitored for changes, with some syncs supporting near real time updates. |
| dynamic (context-sensitive) evaluation | flagd evaluations are context sensitive. Rules can use arbitrary context attributes as inputs for flag evaluation logic. |
| fractional evaluation / random assignment | flagd's [fractional](../reference/custom-operations/fractional-operation.md) custom operation supports pseudorandom assignment of flag values. |
| progressive roll-outs | Progressive roll-outs of new features can be accomplished by leveraging the [fractional](../reference/custom-operations/fractional-operation.md) custom operation as well as automation in your build pipeline, SCM, or infrastructure which updates the distribution over time. |
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