Why do I only find out I tagged a metric wrong when the invoice arrives?
Szansa
Tagging a metric with a high-cardinality attribute like a user ID, session ID, or request path multiplies a single time-series into hundreds of millions, and the bill follows a week later rather than a CI failure follows a minute later. By 2026, observability spend has reached 15 to 25 percent of total cloud spend at affected SaaS companies, with documented single-service incidents generating $90,000 in charges over a weekend. Every major backend, including Datadog, Grafana Cloud, and Prometheus, detects cardinality explosions only after ingestion, meaning the only signal is a budget alert or an invoice line item, not a pull request annotation. The OpenTelemetry SDK added optional cardinality caps in early 2026, but these are runtime circuit-breakers that silently drop data rather than upstream gates that catch the problem before it ships. There is no widely adopted CI primitive that ana
Dlaczego to ważne
Every engineer who has tagged a metric with a user ID has had a bad Tuesday; catching it at the pull request instead of on the invoice permanently changes the economics of instrumentation.
Jak oceniam szansę
Wskaźnik Szansy to mój własny odczyt, a nie pomiar: jak bardzo boli, jak często daje się we znaki i jak niewiele istnieje dziś, by to rozwiązać. Wyższy wynik oznacza, że uważam problem za bardziej warty zbudowania.
Ile bólu sprawia, gdy się pojawia.
Jak często ludzie faktycznie na to trafiają.
Jak mało dobrych narzędzi istnieje dla tego dziś.
Więcej problemów wartych rozwiązania
Dlaczego oprogramowanie, od którego jesteśmy najbardziej zależni, jest najgorsze w użyciu?
TechData ownership is still effectively zero for most people because of a few structural problems that reinforce each other: **The terms-of-service trap** Every platform you use grants itself a perpetual, irrevocable, sublicensable license to your content. You "agreed" to this to get access. There is no meaningful negotiation -- it is take-it-or-leave-it, and the network effects make leaving it impractical. **Data is not legally property** In most jurisdictions, raw data has no clear property status. Copyright protects creative expression, not facts or behavioral signals. There is no law that says your location history, click patterns, or biometric data is *yours* the way a car or a house is yours. Without property rights, there is no theft, no trespass, no remedy. **GDPR gave access rights, not ownership** Europe's GDPR is the strongest regime in the world and it gives you the right to *access*, *correct*, and *delete* your data. That is closer to a tenant's rights than to ownership. You cannot sell it, license it, or sue if someone profits from it without your consent. **The commercial model depends on the asymmetry** Surveillance-based advertising -- which funds most of the free internet -- only works if users do not extract economic value from their own data. Any genuine data ownership regime would collapse the current business model of Google, Meta, and most data brokers. **What would actually change things** - A statutory property right in personal data (proposed in various US bills, never passed) - Data intermediaries or cooperatives that negotiate collectively on your behalf - Personal data stores (Solid, MyData) -- technically viable, commercially marginal - MiCA-style sectoral regulation extending beyond financial data The honest answer: it has not changed because the entities that profit from the status quo have lobbying power far exceeding that of individual users, and the problem is diffuse enough that collective action is hard.
TechDlaczego nie mogę otrzymać potwierdzenia, że moje dane zostały faktycznie usunięte?
TechDlaczego nie mogę wiedzieć, czy to, co jest uruchomione, odpowiada temu, co deklarował mój SBOM?
TechDlaczego każdy łańcuch proweniencji C2PA ulega zerwaniu w momencie, gdy treść trafia do mediów społecznościowych?
TechDlaczego testy wygenerowane przez sztuczną inteligencję nie wykrywają błędów, które miały wykryć?