Observability terms
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Most referenced — Observability
P50/P95/P99 Latency Percentiles 2Distributed Tracing 1On-Call & Runbooks 1Alerting Best Practices 1Health Check Patterns 1Four Golden Signals 1SLO / SLI / SLA 1Prometheus Concepts 1
How they use it
crawler 1.5k
crawler_json 102
pre-tracking 23
Category total1.6k pings
Terms pinged31 / 31
Distinct agents15
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.
3mo 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.
3mo 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.
3mo ago
Observability intermediate
APM Tools
PHP 5.0+
1
Application Performance Monitoring tools — Datadog, New Relic, Elastic APM — provide distributed tracing, performance profiling, error tracking, and anomaly detection in production.
3mo 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.
3mo ago
Observability intermediate
PHP Observability
PHP 8.0+
13
The three pillars of observability in PHP applications — structured logs, application metrics, and distributed traces — and the tools that provide them (Monolog, Prometheus, OpenTelemetry).
3mo 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).
3mo ago
Observability intermediate
Automatically capturing, grouping, and alerting on application errors in production — with full stack traces, breadcrumbs, and user context.
3mo ago
Observability beginner
Counters (ever-increasing), Gauges (current value), Histograms (distribution), and Summaries — each suited to different measurement needs in monitoring systems.
3mo ago
Observability intermediate
Prometheus scrapes and stores time-series metrics; Grafana visualises them — together they provide open-source metrics monitoring and alerting for any application.
3mo 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.
3mo ago
Observability intermediate