A Java geek

When I write Apache APISIX-related blog posts, I want my colleagues to review them first. However, it’s my blog, and since I mix personal and business posts, I want to keep them from the repository. I need a preview, accessible only to a few, something like Vercel’s preview. I’m using GitLab Pages, and there’s no such out-of-the-box feature. I tried two methods: GitHub gists and PDFs. Both have issues. Gists don’t display as nicely as the final page.

I’m continuing my journey on getting more familiar with HTTP APIs by reading related RFCs. This time, I read the Health Check Response Format for HTTP APIs on the suggestion of Stefano Fago. In this post, I’d like to summarize my reading. Note that it’s a draft. Moreover, it has been dormant for nearly two years and, thus, has been automatically expired. However, it’s the closest to a specification on health checks and thus deserves some love.

I explained the concepts and theory behind Data Residency in a previous post. It’s time to get our hands dirty and implement it in a simple demo. The sample architecture In the last section of the previous post, I proposed a sample architecture where location-based routing happened at two different stages: The API Gateway checks for an existing X-Country header.

In our profession, it’s common to work on an unfamiliar codebase. It happens every time one joins a new project or even needs to work on a previously untouched part in big ones. This occurrence is not limited to a developer having to fix a bug; it can be a solution architect having to design a new feature or an OpenSource contributor working on a GitHub issue in their free time. Hence, I want to describe how I approach the situation so it can benefit others.

Cloud computing has opened a Pandora’s Box of many original issues compared to sound old on-premise systems. I believe that chief among them is Data Residency, or Data Location: Data localization or data residency law requires data about a nation’s citizens or residents to be collected, processed, and/or stored inside the country, often before being transferred internationally.

Last week, I decided to see the capabilities of OpenAI’s image generation. However, I noticed that one has to pay to use the web interface, while the API was free, even though rate-limited. Dall.E offers Node.js and Python samples, but I wanted to keep learning Rust. So far, I’ve created a REST API. In this post, I want to describe how you can create a webapp with server-side rendering.