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Stage 11 · Monitoring, Logging & Observability

Grafana Complete Course

Master Grafana from data sources, panels, dashboards, variables, transformations, and alerting through provisioning, Git Sync, RBAC, authentication, plugins, APIs, performance, HA, and multi-source observability.

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GRAF
38chapters
190lessons
Intermediatestarting level
Hands-onlearning mode
Course stateCurriculum ready

Course brief

A complete Grafana curriculum for operational dashboards, exploratory analysis, unified alerting, GitOps-managed observability, and enterprise-scale visualization.

This course is organized as a progressive operational curriculum. Lesson files are reserved in the repository structure so future content can be added without changing URLs or navigation.

By the end

You will be able to

  • Build effective dashboards across metrics, logs, traces, SQL, and cloud data
  • Use variables, transformations, annotations, correlations, and reusable queries
  • Design Grafana Alerting policies and notification workflows
  • Provision and version Grafana resources through files, APIs, Terraform, and Git Sync
  • Secure, scale, monitor, upgrade, and recover Grafana in production

Complete syllabus

38 chapters in prerequisite order.

The structure goes beyond a command reference and includes architecture, security, reliability, troubleshooting, automation, governance, and production operations.

01

Chapter 1

Grafana Foundations, Observability Visualization, and Dashboard Design

5 lessons
01
Grafana Foundations, Observability Visualization, and Dashboard Design: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Grafana Foundations, Observability Visualization, and Dashboard Design: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Grafana Foundations, Observability Visualization, and Dashboard Design: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Grafana Foundations, Observability Visualization, and Dashboard Design: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Grafana Foundations, Observability Visualization, and Dashboard DesignReserved in course structure
Planned
02

Chapter 2

Grafana 13 Architecture, Components, Editions, and Release Lifecycle

5 lessons
01
Grafana 13 Architecture, Components, Editions, and Release Lifecycle: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Grafana 13 Architecture, Components, Editions, and Release Lifecycle: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Grafana 13 Architecture, Components, Editions, and Release Lifecycle: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Grafana 13 Architecture, Components, Editions, and Release Lifecycle: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Grafana 13 Architecture, Components, Editions, and Release LifecycleReserved in course structure
Planned
03

Chapter 3

Installing Grafana on Linux, Docker, Kubernetes, and Local Labs

5 lessons
01
Installing Grafana on Linux, Docker, Kubernetes, and Local Labs: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Installing Grafana on Linux, Docker, Kubernetes, and Local Labs: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Installing Grafana on Linux, Docker, Kubernetes, and Local Labs: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Installing Grafana on Linux, Docker, Kubernetes, and Local Labs: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Installing Grafana on Linux, Docker, Kubernetes, and Local LabsReserved in course structure
Planned
04

Chapter 4

Organizations, Users, Teams, Folders, Permissions, and Resource Hierarchy

5 lessons
01
Organizations, Users, Teams, Folders, Permissions, and Resource Hierarchy: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Organizations, Users, Teams, Folders, Permissions, and Resource Hierarchy: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Organizations, Users, Teams, Folders, Permissions, and Resource Hierarchy: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Organizations, Users, Teams, Folders, Permissions, and Resource Hierarchy: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Organizations, Users, Teams, Folders, Permissions, and Resource HierarchyReserved in course structure
Planned
05

Chapter 5

Data Sources, Connections, Authentication, and Query Execution

5 lessons
01
Data Sources, Connections, Authentication, and Query Execution: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Data Sources, Connections, Authentication, and Query Execution: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Data Sources, Connections, Authentication, and Query Execution: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Data Sources, Connections, Authentication, and Query Execution: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Data Sources, Connections, Authentication, and Query ExecutionReserved in course structure
Planned
06

Chapter 6

Prometheus Data Source, PromQL Queries, Exemplars, and Metadata

5 lessons
01
Prometheus Data Source, PromQL Queries, Exemplars, and Metadata: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Prometheus Data Source, PromQL Queries, Exemplars, and Metadata: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Prometheus Data Source, PromQL Queries, Exemplars, and Metadata: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Prometheus Data Source, PromQL Queries, Exemplars, and Metadata: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Prometheus Data Source, PromQL Queries, Exemplars, and MetadataReserved in course structure
Planned
07

Chapter 7

Loki Data Source, LogQL, Logs-to-Metrics, and Log Exploration

5 lessons
01
Loki Data Source, LogQL, Logs-to-Metrics, and Log Exploration: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Loki Data Source, LogQL, Logs-to-Metrics, and Log Exploration: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Loki Data Source, LogQL, Logs-to-Metrics, and Log Exploration: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Loki Data Source, LogQL, Logs-to-Metrics, and Log Exploration: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Loki Data Source, LogQL, Logs-to-Metrics, and Log ExplorationReserved in course structure
Planned
08

Chapter 8

Tempo Data Source, Traces, Service Graphs, and Trace Correlation

5 lessons
01
Tempo Data Source, Traces, Service Graphs, and Trace Correlation: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Tempo Data Source, Traces, Service Graphs, and Trace Correlation: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Tempo Data Source, Traces, Service Graphs, and Trace Correlation: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Tempo Data Source, Traces, Service Graphs, and Trace Correlation: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Tempo Data Source, Traces, Service Graphs, and Trace CorrelationReserved in course structure
Planned
09

Chapter 9

Elasticsearch, OpenSearch, SQL, Cloud, and Generic Data Sources

5 lessons
01
Elasticsearch, OpenSearch, SQL, Cloud, and Generic Data Sources: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Elasticsearch, OpenSearch, SQL, Cloud, and Generic Data Sources: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Elasticsearch, OpenSearch, SQL, Cloud, and Generic Data Sources: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Elasticsearch, OpenSearch, SQL, Cloud, and Generic Data Sources: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Elasticsearch, OpenSearch, SQL, Cloud, and Generic Data SourcesReserved in course structure
Planned
10

Chapter 10

Dashboard Fundamentals, Rows, Panels, Grid Layout, and Time Range

5 lessons
01
Dashboard Fundamentals, Rows, Panels, Grid Layout, and Time Range: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Dashboard Fundamentals, Rows, Panels, Grid Layout, and Time Range: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Dashboard Fundamentals, Rows, Panels, Grid Layout, and Time Range: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Dashboard Fundamentals, Rows, Panels, Grid Layout, and Time Range: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Dashboard Fundamentals, Rows, Panels, Grid Layout, and Time RangeReserved in course structure
Planned
11

Chapter 11

Time Series, Stat, Gauge, Bar Gauge, Table, Heatmap, and Core Visualizations

5 lessons
01
Time Series, Stat, Gauge, Bar Gauge, Table, Heatmap, and Core Visualizations: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Time Series, Stat, Gauge, Bar Gauge, Table, Heatmap, and Core Visualizations: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Time Series, Stat, Gauge, Bar Gauge, Table, Heatmap, and Core Visualizations: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Time Series, Stat, Gauge, Bar Gauge, Table, Heatmap, and Core Visualizations: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Time Series, Stat, Gauge, Bar Gauge, Table, Heatmap, and Core VisualizationsReserved in course structure
Planned
12

Chapter 12

Geomap, State Timeline, Status History, Node Graph, Canvas, and Specialized Panels

5 lessons
01
Geomap, State Timeline, Status History, Node Graph, Canvas, and Specialized Panels: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Geomap, State Timeline, Status History, Node Graph, Canvas, and Specialized Panels: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Geomap, State Timeline, Status History, Node Graph, Canvas, and Specialized Panels: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Geomap, State Timeline, Status History, Node Graph, Canvas, and Specialized Panels: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Geomap, State Timeline, Status History, Node Graph, Canvas, and Specialized PanelsReserved in course structure
Planned
13

Chapter 13

Dynamic Dashboards, Repeated Panels, Adaptive Layouts, and Grafana 13 Workflows

5 lessons
01
Dynamic Dashboards, Repeated Panels, Adaptive Layouts, and Grafana 13 Workflows: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Dynamic Dashboards, Repeated Panels, Adaptive Layouts, and Grafana 13 Workflows: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Dynamic Dashboards, Repeated Panels, Adaptive Layouts, and Grafana 13 Workflows: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Dynamic Dashboards, Repeated Panels, Adaptive Layouts, and Grafana 13 Workflows: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Dynamic Dashboards, Repeated Panels, Adaptive Layouts, and Grafana 13 WorkflowsReserved in course structure
Planned
14

Chapter 14

Queries, Expressions, Math, Reduce, Resample, and Multi-Query Panels

5 lessons
01
Queries, Expressions, Math, Reduce, Resample, and Multi-Query Panels: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Queries, Expressions, Math, Reduce, Resample, and Multi-Query Panels: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Queries, Expressions, Math, Reduce, Resample, and Multi-Query Panels: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Queries, Expressions, Math, Reduce, Resample, and Multi-Query Panels: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Queries, Expressions, Math, Reduce, Resample, and Multi-Query PanelsReserved in course structure
Planned
15

Chapter 15

Transformations, Joins, Organize Fields, Grouping, Calculations, and Data Frames

5 lessons
01
Transformations, Joins, Organize Fields, Grouping, Calculations, and Data Frames: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Transformations, Joins, Organize Fields, Grouping, Calculations, and Data Frames: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Transformations, Joins, Organize Fields, Grouping, Calculations, and Data Frames: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Transformations, Joins, Organize Fields, Grouping, Calculations, and Data Frames: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Transformations, Joins, Organize Fields, Grouping, Calculations, and Data FramesReserved in course structure
Planned
16

Chapter 16

Variables, Query Variables, Custom Variables, Ad Hoc Filters, and Chained Variables

5 lessons
01
Variables, Query Variables, Custom Variables, Ad Hoc Filters, and Chained Variables: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Variables, Query Variables, Custom Variables, Ad Hoc Filters, and Chained Variables: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Variables, Query Variables, Custom Variables, Ad Hoc Filters, and Chained Variables: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Variables, Query Variables, Custom Variables, Ad Hoc Filters, and Chained Variables: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Variables, Query Variables, Custom Variables, Ad Hoc Filters, and Chained VariablesReserved in course structure
Planned
17

Chapter 17

Dashboard Links, Data Links, Actions, Drilldowns, and Navigation

5 lessons
01
Dashboard Links, Data Links, Actions, Drilldowns, and Navigation: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Dashboard Links, Data Links, Actions, Drilldowns, and Navigation: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Dashboard Links, Data Links, Actions, Drilldowns, and Navigation: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Dashboard Links, Data Links, Actions, Drilldowns, and Navigation: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Dashboard Links, Data Links, Actions, Drilldowns, and NavigationReserved in course structure
Planned
18

Chapter 18

Annotations, Events, Deployment Markers, and Operational Context

5 lessons
01
Annotations, Events, Deployment Markers, and Operational Context: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Annotations, Events, Deployment Markers, and Operational Context: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Annotations, Events, Deployment Markers, and Operational Context: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Annotations, Events, Deployment Markers, and Operational Context: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Annotations, Events, Deployment Markers, and Operational ContextReserved in course structure
Planned
19

Chapter 19

Correlations, Logs-to-Traces, Traces-to-Logs, and Cross-Signal Exploration

5 lessons
01
Correlations, Logs-to-Traces, Traces-to-Logs, and Cross-Signal Exploration: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Correlations, Logs-to-Traces, Traces-to-Logs, and Cross-Signal Exploration: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Correlations, Logs-to-Traces, Traces-to-Logs, and Cross-Signal Exploration: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Correlations, Logs-to-Traces, Traces-to-Logs, and Cross-Signal Exploration: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Correlations, Logs-to-Traces, Traces-to-Logs, and Cross-Signal ExplorationReserved in course structure
Planned
20

Chapter 20

Dashboard Templates, Library Panels, Reusable Queries, and Standardization

5 lessons
01
Dashboard Templates, Library Panels, Reusable Queries, and Standardization: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Dashboard Templates, Library Panels, Reusable Queries, and Standardization: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Dashboard Templates, Library Panels, Reusable Queries, and Standardization: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Dashboard Templates, Library Panels, Reusable Queries, and Standardization: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Dashboard Templates, Library Panels, Reusable Queries, and StandardizationReserved in course structure
Planned
21

Chapter 21

Dashboard JSON Model, UID, Schema, Export, Import, and Portability

5 lessons
01
Dashboard JSON Model, UID, Schema, Export, Import, and Portability: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Dashboard JSON Model, UID, Schema, Export, Import, and Portability: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Dashboard JSON Model, UID, Schema, Export, Import, and Portability: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Dashboard JSON Model, UID, Schema, Export, Import, and Portability: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Dashboard JSON Model, UID, Schema, Export, Import, and PortabilityReserved in course structure
Planned
22

Chapter 22

Provisioning Data Sources, Dashboards, Alerting, and Configuration as Code

5 lessons
01
Provisioning Data Sources, Dashboards, Alerting, and Configuration as Code: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Provisioning Data Sources, Dashboards, Alerting, and Configuration as Code: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Provisioning Data Sources, Dashboards, Alerting, and Configuration as Code: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Provisioning Data Sources, Dashboards, Alerting, and Configuration as Code: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Provisioning Data Sources, Dashboards, Alerting, and Configuration as CodeReserved in course structure
Planned
23

Chapter 23

Git Sync, Bidirectional GitOps, Repository Structure, and Change Workflow

5 lessons
01
Git Sync, Bidirectional GitOps, Repository Structure, and Change Workflow: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Git Sync, Bidirectional GitOps, Repository Structure, and Change Workflow: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Git Sync, Bidirectional GitOps, Repository Structure, and Change Workflow: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Git Sync, Bidirectional GitOps, Repository Structure, and Change Workflow: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Git Sync, Bidirectional GitOps, Repository Structure, and Change WorkflowReserved in course structure
Planned
24

Chapter 24

Terraform Provider, API Automation, Folder/Dashboard Resources, and IaC

5 lessons
01
Terraform Provider, API Automation, Folder/Dashboard Resources, and IaC: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Terraform Provider, API Automation, Folder/Dashboard Resources, and IaC: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Terraform Provider, API Automation, Folder/Dashboard Resources, and IaC: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Terraform Provider, API Automation, Folder/Dashboard Resources, and IaC: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Terraform Provider, API Automation, Folder/Dashboard Resources, and IaCReserved in course structure
Planned
25

Chapter 25

Grafana Alerting Architecture, Alert Rules, Evaluation, and State

5 lessons
01
Grafana Alerting Architecture, Alert Rules, Evaluation, and State: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Grafana Alerting Architecture, Alert Rules, Evaluation, and State: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Grafana Alerting Architecture, Alert Rules, Evaluation, and State: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Grafana Alerting Architecture, Alert Rules, Evaluation, and State: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Grafana Alerting Architecture, Alert Rules, Evaluation, and StateReserved in course structure
Planned
26

Chapter 26

Contact Points, Notification Policies, Mute Timings, Templates, and Routing

5 lessons
01
Contact Points, Notification Policies, Mute Timings, Templates, and Routing: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Contact Points, Notification Policies, Mute Timings, Templates, and Routing: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Contact Points, Notification Policies, Mute Timings, Templates, and Routing: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Contact Points, Notification Policies, Mute Timings, Templates, and Routing: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Contact Points, Notification Policies, Mute Timings, Templates, and RoutingReserved in course structure
Planned
27

Chapter 27

Recording Rules and Rule Evaluation with Prometheus-Compatible Backends

5 lessons
01
Recording Rules and Rule Evaluation with Prometheus-Compatible Backends: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Recording Rules and Rule Evaluation with Prometheus-Compatible Backends: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Recording Rules and Rule Evaluation with Prometheus-Compatible Backends: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Recording Rules and Rule Evaluation with Prometheus-Compatible Backends: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Recording Rules and Rule Evaluation with Prometheus-Compatible BackendsReserved in course structure
Planned
28

Chapter 28

Authentication with LDAP, OAuth, OIDC, SAML Concepts, and Reverse Proxies

5 lessons
01
Authentication with LDAP, OAuth, OIDC, SAML Concepts, and Reverse Proxies: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Authentication with LDAP, OAuth, OIDC, SAML Concepts, and Reverse Proxies: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Authentication with LDAP, OAuth, OIDC, SAML Concepts, and Reverse Proxies: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Authentication with LDAP, OAuth, OIDC, SAML Concepts, and Reverse Proxies: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Authentication with LDAP, OAuth, OIDC, SAML Concepts, and Reverse ProxiesReserved in course structure
Planned
29

Chapter 29

RBAC, Folder Permissions, Team Sync, Service Accounts, and Least Privilege

5 lessons
01
RBAC, Folder Permissions, Team Sync, Service Accounts, and Least Privilege: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
RBAC, Folder Permissions, Team Sync, Service Accounts, and Least Privilege: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
RBAC, Folder Permissions, Team Sync, Service Accounts, and Least Privilege: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
RBAC, Folder Permissions, Team Sync, Service Accounts, and Least Privilege: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — RBAC, Folder Permissions, Team Sync, Service Accounts, and Least PrivilegeReserved in course structure
Planned
30

Chapter 30

Secrets, Data Source Credentials, Secure JSON Data, and Encryption

5 lessons
01
Secrets, Data Source Credentials, Secure JSON Data, and Encryption: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Secrets, Data Source Credentials, Secure JSON Data, and Encryption: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Secrets, Data Source Credentials, Secure JSON Data, and Encryption: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Secrets, Data Source Credentials, Secure JSON Data, and Encryption: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Secrets, Data Source Credentials, Secure JSON Data, and EncryptionReserved in course structure
Planned
31

Chapter 31

Plugins, App/Data Source/Panel Plugins, Signatures, and Plugin Lifecycle

5 lessons
01
Plugins, App/Data Source/Panel Plugins, Signatures, and Plugin Lifecycle: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Plugins, App/Data Source/Panel Plugins, Signatures, and Plugin Lifecycle: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Plugins, App/Data Source/Panel Plugins, Signatures, and Plugin Lifecycle: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Plugins, App/Data Source/Panel Plugins, Signatures, and Plugin Lifecycle: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Plugins, App/Data Source/Panel Plugins, Signatures, and Plugin LifecycleReserved in course structure
Planned
32

Chapter 32

Frontend and Backend Plugin Development Concepts

5 lessons
01
Frontend and Backend Plugin Development Concepts: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Frontend and Backend Plugin Development Concepts: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Frontend and Backend Plugin Development Concepts: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Frontend and Backend Plugin Development Concepts: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Frontend and Backend Plugin Development ConceptsReserved in course structure
Planned
33

Chapter 33

HTTP API, Service Accounts, Automation, Backups, and Administrative Scripting

5 lessons
01
HTTP API, Service Accounts, Automation, Backups, and Administrative Scripting: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
HTTP API, Service Accounts, Automation, Backups, and Administrative Scripting: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
HTTP API, Service Accounts, Automation, Backups, and Administrative Scripting: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
HTTP API, Service Accounts, Automation, Backups, and Administrative Scripting: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — HTTP API, Service Accounts, Automation, Backups, and Administrative ScriptingReserved in course structure
Planned
34

Chapter 34

Usage Analytics, Audit Concepts, Meta Monitoring, and Grafana Observability

5 lessons
01
Usage Analytics, Audit Concepts, Meta Monitoring, and Grafana Observability: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Usage Analytics, Audit Concepts, Meta Monitoring, and Grafana Observability: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Usage Analytics, Audit Concepts, Meta Monitoring, and Grafana Observability: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Usage Analytics, Audit Concepts, Meta Monitoring, and Grafana Observability: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Usage Analytics, Audit Concepts, Meta Monitoring, and Grafana ObservabilityReserved in course structure
Planned
35

Chapter 35

Caching, Query Performance, Dashboard Performance, and Large Instances

5 lessons
01
Caching, Query Performance, Dashboard Performance, and Large Instances: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Caching, Query Performance, Dashboard Performance, and Large Instances: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Caching, Query Performance, Dashboard Performance, and Large Instances: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Caching, Query Performance, Dashboard Performance, and Large Instances: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Caching, Query Performance, Dashboard Performance, and Large InstancesReserved in course structure
Planned
36

Chapter 36

High Availability, Shared Database, Load Balancing, Sessions, and Alerting HA

5 lessons
01
High Availability, Shared Database, Load Balancing, Sessions, and Alerting HA: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
High Availability, Shared Database, Load Balancing, Sessions, and Alerting HA: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
High Availability, Shared Database, Load Balancing, Sessions, and Alerting HA: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
High Availability, Shared Database, Load Balancing, Sessions, and Alerting HA: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — High Availability, Shared Database, Load Balancing, Sessions, and Alerting HAReserved in course structure
Planned
37

Chapter 37

Backup, Restore, Database Migration, Upgrades, and Disaster Recovery

5 lessons
01
Backup, Restore, Database Migration, Upgrades, and Disaster Recovery: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Backup, Restore, Database Migration, Upgrades, and Disaster Recovery: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Backup, Restore, Database Migration, Upgrades, and Disaster Recovery: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Backup, Restore, Database Migration, Upgrades, and Disaster Recovery: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Backup, Restore, Database Migration, Upgrades, and Disaster RecoveryReserved in course structure
Planned
38

Chapter 38

Production Capstone: Design, Provision, Secure, Scale, Alert, and Recover Grafana

5 lessons
01
Capstone Requirements, Architecture, SLOs, and Success CriteriaReserved in course structure
Planned
02
Build the End-to-End Monitoring or Delivery EnvironmentReserved in course structure
Planned
03
Integrate Security, Automation, Governance, and ObservabilityReserved in course structure
Planned
04
Inject Failures, Diagnose Behavior, Recover Safely, and Verify StateReserved in course structure
Planned
05
Final Validation, Runbook, Operational Handoff, and Improvement BacklogReserved in course structure
Planned

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