Observability terms
You cannot fix what you cannot see
Running software in production without observability is flying blind. Metrics, logs, traces, dashboards, alerting, and the three pillars of observability give you the insight needed to understand what your system is actually doing under real conditions. This category covers the tools, patterns, and vocabulary of production-grade visibility.
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Last 30 days
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Most referenced — Observability
How they use it
crawler 897
crawler_json 29
pre-tracking 23
Category total949 pings
Terms pinged31 / 31
Distinct agents11
Trace Sampling Strategies
Sampling records only a fraction of traces to control cost — head-based sampling decides at start, tail-based decides at end (after seeing the full trace), enabling smart error/latency capture.
2mo ago
observability intermediate
Traces & Spans PHP 7.0+
The building blocks of distributed tracing — a trace represents a complete request journey across services, composed of spans that each record one operation with its start time, duration, and parent–child relationship.
2mo ago
observability intermediate
Alert Fatigue
When alerts fire so frequently or for such trivial reasons that on-call engineers begin ignoring them — the most dangerous state for a production monitoring system.
2mo ago
observability intermediate
APM Tools PHP 5.0+
Application Performance Monitoring tools — Datadog, New Relic, Elastic APM — provide distributed tracing, performance profiling, error tracking, and anomaly detection in production.
2mo ago
observability intermediate
Log Levels Best Practices PHP 5.0+
Using the correct severity level — ERROR, WARNING, INFO, DEBUG — ensures alerting triggers on real issues while debug noise stays suppressible in production.
2mo ago
observability intermediate
PHP Observability PHP 8.0+
The three pillars of observability in PHP applications — structured logs, application metrics, and distributed traces — and the tools that provide them (Monolog, Prometheus, OpenTelemetry).
2mo ago
observability intermediate
Uptime Monitoring PHP 5.0+
Continuously checking that your application is reachable and responding correctly — synthetic monitoring (scripted checks from external locations) vs real user monitoring (RUM from actual traffic).
2mo ago
observability intermediate
Error Tracking PHP 7.0+ Automatically capturing, grouping, and alerting on application errors in production — with full stack traces, breadcrumbs, and user context.
2mo ago
observability beginner
Metrics Types Counters (ever-increasing), Gauges (current value), Histograms (distribution), and Summaries — each suited to different measurement needs in monitoring systems.
2mo ago
observability intermediate
Prometheus & Grafana PHP 7.0+ Prometheus scrapes and stores time-series metrics; Grafana visualises them — together they provide open-source metrics monitoring and alerting for any application.
2mo ago
observability advanced
Real User Monitoring (RUM) ES2015
Collecting performance and error data from actual user browsers in production — capturing real-world conditions that synthetic lab testing cannot reproduce.
2mo ago
observability intermediate