apiclarity VS github-docs

We'll install APIClarity into a Kubernetes cluster to test our API documentation. We're using a Kind cluster for demonstration purposes. Of course, if you have another Kubernetes cluster up and running elsewhere, all steps also work there.

If you go to APIClarity, the first thing you’ll see is the source code (Figure 1), followed by some documentation at the bottom.

This feature is available in the open-source tool APIClarity, as part of the OpenClarity initiative.

Hi, I would also like to add another tool I'm contributing to at work (cisco) called APIClarity [1]. It aims at reconstructing swagger specifications of REST microservices running in K8S, but can also be run locally.

This is a challenging task and we don't support OpenAPI v3 specs yet (we are working on it).

Feel free to have a look, and get ideas from it :)

We'll also be presenting it at next Kubecon 2022.

[1]: https://github.com/openclarity/apiclarity

For example, APIClarity is a tool that observes all of the API traffic within your Kubernetes environment. Based on traffic observation, APIClarity infers an OpenAPI description for those APIs. This is especially helpful if the API creator never defined or provided such a description. It also surfaces potential problems with existing APIs, such as requests made to undocumented, shadow APIs or continued use of deprecated, zombie APIs. If you’re getting started on the path toward OAS compliance, then tools like APIClarity can be a great source of insight and observability.

The fundamental first step to solving this problem is to create an API spec and use it to audit and document the APIs your apps use. Ideally, we would create an API spec simply by observing API traffic in real-world applications. In the past, there was no simple, scalable, and open-source tooling capable of doing this. Now, we have APIClarity—an open-source API traffic visibility tool for Kubernetes (K8s) clusters. It’s purpose-built to address the gap and enable API reconstruction through observation.

In college, an English professor would ask me and other students the following question when reviewing our essays, “Where are the examples?” Developers ask the same question when reading your documentation. To write good technical writing documents, include examples that developers can see themselves implementing in their work. How can this be done? By adding examples from your product’s codebase! 🙂 Let’s look at this code snippet from my contribution to GitHub’s documentation:

Need an example? Check the GitHub docs contributing guide.

git clone https://github.com/github/docs.git 123.57s user 37.02s system 74% cpu 3:35.73 total

git clone --depth 1 https://github.com/github/docs.git 3.37s user 1.83s system 35% cpu 14.521 total

Not a scientific test at all, but the second one was literally 35x faster, wall clock time.

Docs

The strange thing is that I only have this problem with github, all other websites work just fine. And even docs.github.com works fine...

99.9 at best for enterprise cloud: https://github.com/github/docs/blob/main/content/site-policy/site-policy-deprecated/github-enterprise-service-level-agreement.md

A project repository typically has a license file at the top-level indicating which license the code falls under. See here for an example license file.