A backup job missed 24 days of runs. Nobody knew. The CronJob looked fine in kubectl get cronjobs. No alerts fired. The last successful run timestamp in the status field just sat there, quietly getting older. The root cause: the CronJob controller had silently given up scheduling after missing 100 runs. Logged an error. Stopped trying. Moved on. This article explains why Kubernetes CronJobs are st
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
As developers, we often have a problematic relationship with primitives. We use a string for an email, a float for a price, and an int for a status. This is what we call Primitive Obsession—and it’s one of the common reasons why PHP codebases gradually become hard to maintain. If you’ve been following my series on Refactoring & Patterns, you know I’m a fan of the Introduce Parameter Object pattern
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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
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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
Key Takeaways One-shotting prompts without a spec is the most common failure mode: experienced devs were 19% slower with AI tools when the task wasn't clearly scoped (METR 2025) AI-coauthored code is 1.75× more likely to introduce correctness errors and 2.74× more likely to ship XSS vulnerabilities than human-only code (CodeRabbit 2025) Without architectural rules in AGENTS.md / Cursor rules / CLA