I Built Watchup — An African Alternative to Sentry for Monitoring Services Most developers don’t realize their app is down until users complain. By then, the damage is already done. That’s the problem I wanted to solve when I built Watchup. 👉 https://watchup.site If you're running any backend, API, or production service, you’ve probably faced this: Your API goes down — you don’t notice Errors
A defaced website is a curious problem. It's loud — anyone visiting the page can see something is wrong. But it's also quiet from a server's perspective: HTTP returns 200, your uptime monitor is happy, your TLS cert hasn't moved, and the CMS logs show a "successful" content update from a legitimate-looking session. The signal is on the rendered page, not in the metrics. I run a site at hi3ris.blue
You just ran a dependency scan and the report shows 133 vulnerabilities. 34 are Critical. 68 are High. The dashboard is red, the backlog is exploding, and every item looks urgent. The engineering team asks the obvious question: where do we start? This is where vulnerability remediation prioritization matters. Without a clear framework, teams either panic and chase the loudest CVE, or they ignore t
We've been there. JSON Schema gets hard to write as soon as your payload is non-trivial. Conditional logic, cross-field rules, business invariants, and at some point we stop writing contracts at all. We go code-first, generate the schema from annotations, and end up with 200 lines very few understand, and error messages referencing paths like #/properties/items/allOf/0/then/Then that map to nothin
On March 31, 2025, Stripe shipped the Basil API version. Among other changes, it removed three fields from the Subscription object that a lot of production code was reading: current_period_start — moved to subscription items current_period_end — moved to subscription items billing_thresholds — removed entirely (later reintroduced — more on this) If you upgraded your account's default API versi
Metric Value Django Average Response Time 287ms Node.js Average Response Time 193ms Django Memory Usage (1000 users) 1.8GB We tested Django 4.2 and Node.js 18.16 under identical conditions to measure their performance for reporting dashboard workloads. The test environment consisted of AWS EC2 m5.2xlarge instances (8 vCPUs, 32GB RAM) running Ubuntu 22.04. Both frameworks connected to th
It’s just HTML… how hard can it be? 😎 Expectation const data = document.querySelector('.title').innerText; 💀 Reality null Data loads via API React renders everything later Class names look like passwords 403 + CAPTCHA waiting for you 🧠 Truth You don’t scrape websites. *If you’ve fought with querySelector()and lost… welcome to the club. connect with KF
We talk a lot about “data-driven decisions”, but that usually hides three separate layers: Data itself (events, transactions, logs, etc.). Database structure (schemas, constraints, relationships). Insights on top (from SQL, AI copilots, BI tools, notebooks). My current interest is in that middle layer: using real-world database structures as a playground to practice database insights: Understan