Observability · Self-assessment

Knowledge checks

Every knowledge check in this course, in curriculum order. Each link opens the page at its quiz. The questions are auto-graded in the browser and nothing is recorded — a wrong answer costs you only the explanation, which is the part worth reading.

Knowledge checks: 684
Parts covered: 114
Of all lessons: 100%

Part I

Foundations

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Why Observability ExistsThe boundary between monitoring and observability, what telemetry signals buy you, and what they do not.→
The Three Telemetry SignalsWhat metrics, logs and traces measure, how they are stored, and the questions each answers uniquely.→
White-Box and Black-Box MonitoringThe fundamental distinction between monitoring a service from the inside and from the outside.→
Symptoms, Evidence, and CausalityHow an investigator separates a symptom (observed) from a cause (inferred).→
Service Health, User Impact, and TelemetryThe chain that connects an internal signal to a user impact decision.→
Context, Correlation, and CausalityWhy an observability platform must carry context across services and how correlation IDs enable pivot-across-signal investigation.→

Part II

Production Monitoring Fundamentals

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Part III

Metrics Fundamentals

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Part IV

Cardinality

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Part V

Prometheus Architecture

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Part VI

Installing Prometheus

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Part VII

Prometheus Configuration

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Part VIII

Service Discovery

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Part IX

Exporters

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Part X

node_exporter

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Part XI

Blackbox Monitoring

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Part XII

PromQL Foundations

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Part XIII

Rates and Counters

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Part XIV

Aggregation

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Part XV

Histograms and Latency

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Part XVI

PromQL Troubleshooting

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Part XVII

Recording Rules

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Part XVIII

Alerting Rules

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Part XIX

Alertmanager

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Part XX

Alert Quality

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Part XXI

Alert Inhibition

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Part XXII

SLO-Based Alerting

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Part XXIII

Grafana Foundations

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Part XXIV

Grafana Installation

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Part XXV

Grafana Data Sources

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Part XXVI

Dashboard Design

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Part XXVII

Dashboard Anti-Patterns

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Part XXVIII

Grafana Variables

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Part XXIX

Grafana Provisioning

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Part XXX

Grafana Security

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Part XXXI

Logging Foundations

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Part XXXII

Logging Pipeline Architecture

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Part XXXIII

Loki Architecture

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Part XXXIV

Loki Labels and Cardinality

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Part XXXV

Loki Installation

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Part XXXVI

Log Shipping

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Part XXXVII

LogQL Foundations

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Part XXXVIII

LogQL Metrics

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Part XXXIX

Log Troubleshooting

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Part XL

Log Retention

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Part XLI

Distributed Tracing Foundations

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Part XLII

Why Tracing Exists

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Part XLIII

Instrumentation

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Part XLIV

Sampling

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Part XLV

Tempo Architecture

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Part XLVI

Tempo Deployment

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Part XLVII

Trace Queries

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Part XLVIII

Trace Troubleshooting

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Part XLIX

OpenTelemetry Foundations

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Part L

OpenTelemetry Collector

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Part LI

Correlating Metrics, Logs, and Traces

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Part LII

Exemplars

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Part LIII

Log / Trace Correlation

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Part LIV

Dashboard-to-Logs Workflows

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Part LV

Dashboard-to-Traces Workflows

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Part LVI

Linux Observability

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Part LVII

Docker Observability

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Part LVIII

Proxmox Observability

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Part LIX

Database Observability

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Part LX

Network Observability

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Part LXI

Application Observability

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Part LXII

Business Metrics

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Part LXIII

Synthetic Monitoring

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Part LXIV

TLS Monitoring

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Part LXV

DNS Monitoring

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Part LXVI

Observability Architecture for Production

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Part LXVII

High Availability

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Part LXVIII

Prometheus HA

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Part LXIX

Long-Term Metrics Storage

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Part LXX

Loki at Scale

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Part LXXI

Tempo at Scale

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Part LXXII

Grafana HA

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Part LXXIII

Storage Architecture

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Part LXXIV

Capacity Planning

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Part LXXV

Performance

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Part LXXVI

Cost Management

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Part LXXVII

Security Architecture

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Part LXXVIII

Securing Prometheus

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Part LXXIX

Securing Grafana

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Part LXXX

Securing Loki

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Part LXXXI

Securing Tempo

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Part LXXXII

Secrets and Sensitive Telemetry

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Part LXXXIII

Multi-Tenancy

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Part LXXXIV

Configuration as Code

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Part LXXXV

CI Validation

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Part LXXXVI

Prometheus Rule Testing

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Part LXXXVII

Alert Testing

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Part LXXXVIII

Dashboard Testing and Review

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Part LXXXIX

Observability Platform Monitoring Itself

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Part XC

Meta-Monitoring

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Part XCI

Backup Strategy

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Part XCII

Disaster Recovery

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Part XCIII

Upgrades

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Part XCIV

Prometheus Upgrades

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Part XCV

Grafana Upgrades

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Part XCVI

Loki Upgrades

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Part XCVII

Tempo Upgrades

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Part XCVIII

Troubleshooting Methodology

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Part XCIX

Missing Metrics

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Part C

Missing Logs

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Part CI

Missing Traces

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Part CII

Slow Queries

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Part CIII

Alert Failure

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Part CIV

False Positive Alert

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Part CV

Cardinality Incident

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Part CVI

Log Ingestion Incident

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Part CVII

Trace Volume Incident

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Part CVIII

Clock Skew

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Part CIX

Incident Investigation Workflows

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Part CX

Observability During Major Incidents

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Part CXI

Observability Anti-Patterns

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Part CXII

Production Observability Operating Model

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Part CXIII

Documentation and Runbooks

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Part CXIV

Final Production Reference Architecture

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