Hey! I'm Andrei.I got frustrated by how people tend to build overcomplicated backend systems, being "motivated" by big tech case studies and popular books.So, I started exploring lean architecture, and building my digital garden of ideas, approaches and data that align with this direction.Here I want to present one of the tools – Sizing tool for PostgreSQL. I've benchmarked PostgreSQL on different EC2 instances and disks, with different initial data sets to see performance that these instances can give you. And I've built a tool to visualize this data, which I welcome you to explore.So, you can put your usual input parameters, like needed RPS and disk size as input, and find out which instance will be the most cost-efficient for your needs.You can read about the methodology here: https://postgres.saneengineer.com/aboutI've tested one workload – mixed 90/10 read/write, and only selected configurations. But it is extensible, and I (and you – benchmark is open source: https://github.com/anivaniuk/sanebench) can run more configurations to have more data represented.Does it look interesting? What workload should I benchmark next?
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I built µJS because I wanted AJAX navigation without the verbosity of HTMX or the overhead of Turbo.It intercepts links and form submissions, fetches pages via AJAX, and swaps fragments of the DOM. Single <script> tag, one call to `mu.init()`. No build step, no dependencies.Key features: patch mode (update multiple fragments in one request), SSE support, DOM morphing via idiomorph, View Transitions, prefetch on hover, polling, and full HTTP verb support on any element.At ~5KB gzipped, it's smaller than HTMX (16KB) and Turbo (25KB), and works with any backend: PHP, Python, Go, Ruby, whatever.Playground: https://mujs.org/playgroundComparison with HTMX and Turbo: https://mujs.org/comparisonAbout the project creation, why and when: https://mujs.org/aboutGitHub: https://github.com/Digicreon/muJSHappy to discuss the project.
Design & Creative
Built this solo. It watches SEC filings for executive and board changes, extracts the data, and shows it in real time. 2,100+ changes in the last 30 days. The comp data is interesting: average new CEO total comp is $8.4M across 284 appointments. The /explore page is fully open, no login needed.
Design & Creative
Design & Creative