Observability for QA (Grafana, ELK)
Master observability tools and practices for QA. Learn logs, metrics, traces, dashboards, and observability-driven debugging in production environments.
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Master the critical difference between monitoring and observability. Learn why traditional monitoring failed ShopGiant with $4.8M in losses, and how observability enables unknown-unknown debugging.
1. The Fundamental Difference
2. The Three Pillars of Observability
Deep dive into the three pillars of observability. Learn how FinPay lost $2.9M by relying only on metrics, and how the complete three-pillar stack enables comprehensive system understanding.
1. Understanding the Three Pillars
2. The Unified Telemetry Model
Master the classic ELK Stack for log observability. Learn how WalletPro cut debug time from 18 hours to 12 seconds with centralized log search, preventing a $1.7M Black Friday disaster.
1. The Centralized Log Standard
2. The Modern Pipeline
Master the most popular open-source metrics stack. Learn how MetricHell saved $3.5M annually by switching from expensive commercial monitoring to Prometheus + Grafana.
1. The Metrics Gold Standard
2. Core Architecture
Most dashboards are "Data Tombs"—where metrics go to die. Learn to build "Information Radiators" that teams actually look at, master the Signal-to-Noise ratio, and choose the right tool (Grafana vs. Looker) for the right audience.
1. Information Radiators
2. Tools & Hygiene
Master the art of connecting test failures to real production behavior. Learn how CorrelateX saved $1.9M by transforming ignored test failures into early warning signals through production correlation.
1. The Silent Signal Problem
2. Implementing Correlation
Master QA on-call practices and intelligent alerting. Learn how AlertWise cut Mean Time To Recovery from 4 hours to 18 minutes, saving $2.6M annually through QA-led incident response.
1. Beyond the "Tester" Silo
2. Designing for the Human
Master distributed tracing with Jaeger and Zipkin. Learn how TraceFlow cut debug time from 4 days to 2 hours, saving $3.8M annually by pinpointing latency bottlenecks across microservices.
1. Visualising the Request Journey
2. Tools of the Trade
Master data-driven debugging using the three pillars. Learn how DebugWise cut MTTR from 6 hours to 12 minutes, saving $4.2M annually through observability-driven root cause analysis.
1. The "Detective" Workflow
2. The Signal Chain in Practice
Build your complete observability toolkit for modern QA. Learn how ToolkitPro saved $5.1M annually by mastering the essential open-source stack: Prometheus, Grafana, Loki, Tempo, and beyond.
1. The "Single Pane of Glass"
2. Building the V3 Stack
Master the art of building actionable QA dashboards that prevent disasters. Learn how TestVision saved $2.4M annually by transforming from reactive bug counts to proactive quality intelligence.