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Current state: Under Discussion
Discussion thread: here
JIRA: here
The current Apache Kafka documentation website (https://kafka.apache.org/documentation/) uses raw HTML embedded within the source code. This approach presents several challenges:
<script> tags.This KIP proposes migrating the Apache Kafka documentation website from its current raw HTML format to Markdown. This change will leverage modern static site generation tools like Hugo and the Docsy theme to improve maintainability, readability, and testability of the documentation, while also enabling richer features and a more consistent user experience.
N/A since there are no changes to Apache Kafka codebase.
Migrate the Apache Kafka documentation website to Markdown and using Hugo (https://gohugo.io/) for static site generation. Leverage the Docsy theme (https://www.docsy.dev/docs/get-started/), which is used by other successful open-source projects like Kubernetes (https://github.com/kubernetes/website/tree/main/content) and Istio (https://github.com/istio/istio.io/tree/master/content). This approach offers several advantages:
process.yaml file (https://github.com/hvishwanath/ak2md/blob/main/process.yaml), specific refactoring tasks are planned. For example, the current documentation includes several long pages. These will be split into smaller, more manageable sections. Additionally, the information about Kafka Connectors will be reorganized to improve the user experience. The current documentation also has some inconsistencies in the structure of the quickstart guides. This will be standardized as part of the migration to Markdown.Convert all raw html source files to their markdown equivalent.
handlebars.js templates: Parse raw html content that are written under <script type="text/x-handlebars-template"/> tags, substituting right values for template variables during conversion.generated and javadoc folders will not be converted into corresponding markdown equivalents. Instead, they will be served as static assets and linked into the corresponding locations in the markdown documents.Maintain existing color themes, layout, design for the most part. Wherever possible, use latest equivalents.
Complete one-time migration of the content of website repo to markdown. After this point, any updates required will follow the existing process:
docs directory of the corresponding branch in core kafka repo. As part of the build process, the documentation will be copied over to the corresponding location in the website repo.Sample directory layout:
.
(a few sample directories below, other versions will have similar structure)
├── 39
│ ├── _index.md
│ ├── apis
│ ├── configuration
│ ├── design
│ ├── getting-started
│ ├── implementation
│ ├── kafka-connect
│ ├── operations
│ ├── security
│ └── streams
├── _index.md
├── blog
│ ├── _index.md
│ └── releases
├── community
│ ├── _index.md
│ ├── books_and_papers.md
│ ├── committers.md
│ ├── contact.md
│ ├── developer.md
│ ├── downloads.md
│ ├── events.md
│ ├── project_security.md
│ ├── trademark.md
│ └── videos.md
├── search.md
└── testimonials
└── _index.md |
We store Kafka version specific documentation under {{docs}} folder in the corresponding branch of core kafka repo: Convert the html source files as specified above and update the docs directory with their markdown equivalents. We will do this for the following branches:
3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3, 2.8, 2.7, 2.6, 2.5, 2.4, 2.3, 2.2, 2.1, 2, 1.1, 1, 0.11.0, 0.10.2, 0.10.1, 0.10.0, 0.9.0, 0.8.2, 0.8.1, 0.8, 0.7
Sample directory layout:
docs/
├── _index.md
├── apis
│ ├── _index.md
│ └── api.md
├── configuration
│ ├── _index.md
│ └── configuration.md
├── design
│ ├── _index.md
│ ├── design.md
│ └── protocol.md
├── getting-started
│ ├── _index.md
│ ├── docker.md
│ ├── ecosystem.md
│ ├── introduction.md
│ ├── quickstart.md
│ ├── upgrade.md
│ └── uses.md
├── implementation
│ ├── _index.md
│ ├── distribution.md
│ ├── log.md
│ ├── message-format.md
│ ├── messages.md
│ └── network-layer.md
├── kafka-connect
│ ├── _index.md
│ ├── administration.md
│ ├── connector-development-guide.md
│ ├── overview.md
│ └── user-guide.md
├── operations
│ ├── _index.md
│ ├── basic-kafka-operations.md
│ ├── datacenters.md
│ ├── enter-migration-mode-on-the-brokers.md
│ ├── finalizing-the-migration.md
│ ├── geo-replication-(cross-cluster-data-mirroring).md
│ ├── hardware-and-os.md
│ ├── java-version.md
│ ├── kafka-configuration.md
│ ├── kraft.md
│ ├── limitations.md
│ ├── migrating-brokers-to-kraft.md
│ ├── migration-phases.md
│ ├── monitoring.md
│ ├── multi-tenancy.md
│ ├── preparing-for-migration.md
│ ├── provisioning-the-kraft-controller-quorum.md
│ ├── reverting-to-zookeeper-mode-during-the-migration.md
│ ├── terminology.md
│ ├── tiered-storage.md
│ └── zookeeper.md
├── security
│ ├── _index.md
│ ├── authentication-using-sasl.md
│ ├── authorization-and-acls.md
│ ├── encryption-and-authentication-using-ssl.md
│ ├── incorporating-security-features-in-a-running-cluster.md
│ ├── listener-configuration.md
│ ├── security-overview.md
│ ├── zookeeper-authentication.md
│ └── zookeeper-encryption.md
└── streams
├── _index.md
├── architecture.md
├── core-concepts.md
├── developer-guide
│ ├── _index.md
│ ├── app-reset-tool.md
│ ├── config-streams.md
│ ├── datatypes.md
│ ├── dsl-api.md
│ ├── dsl-topology-naming.md
│ ├── interactive-queries.md
│ ├── manage-topics.md
│ ├── memory-mgmt.md
│ ├── processor-api.md
│ ├── running-app.md
│ ├── security.md
│ ├── testing.md
│ └── write-streams-app.md
├── introduction.md
├── quickstart.md
├── tutorial.md
└── upgrade-guide.md |
One of the key advantages of using hugo is its built-in live reload functionality. During content creation and editing, Hugo automatically detects changes in source files and instantly refreshes the browser, providing immediate visual feedback. This rapid feedback loop significantly accelerates the development process, allowing contributors to quickly iterate on their proposals and preview the rendered output in real-time. As soon as a change is saved in the source files, the documentation site in the browser updates, eliminating the need for manual rebuilds and refreshes. This feature drastically improves the efficiency of writing and refining KIP content.
While docsy provides a rich and well-structured theme for technical documentation, it does have some dependencies to be aware of. docsy relies on Go for an easier setup, and additionally utilizes Node.js libraries such as autoprefixer and postcss for asset processing and styling. Managing these dependencies and ensuring consistent versions across different developer environments can sometimes introduce friction into the workflow.
To address dependency management and guarantee a uniform development experience for all contributors, I propose a Docker-based development workflow. This approach involves providing a pre-configured Docker container that encapsulates all necessary dependencies for Hugo and Docsy, including Go and Node.js with the required libraries. Developers can then mount their local KIP source code directory into this Docker container.
This Dockerized setup offers a few benefits:
An example of this is in the prototype.
Furthermore, since we do not rely on any server side constructs for serving the website generated by hugo, what the developer sees during development lifecycle is what will be available in production.
Leverage hugo and docsy toolchain to generate static html website from markdown source. Package the website as a docker container and host it behind existing website serving infrastructure.
To demonstrate the feasibility of this transition, I created a working prototype of the Apache Kafka documentation using Hugo and Docsy.
I wrote some automation to help with this: https://github.com/hvishwanath/ak2md
Write automation to ensure all html source files are converted to markdown. Manual testing to ensure completeness, correctness and required functionality is present in the new website. Run broken link checker to verify that internal links within the documentation are correct.
Alternative Static Site Generators: While other static site generators exist, Hugo was chosen for its popularity, maturity, and strong community support. The Docsy theme aligns well with the needs of technical documentation.