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Stage 04 · Testing & Code Quality

SonarQube Complete Course

Static analysis, quality gates, clean-code governance, security analysis, DevOps-platform integration, server administration, upgrades, and enterprise operations.

Browse curriculum View all chapters
SQ
34chapters
170lessons
Beginner → Advancedstarting level
Hands-onlearning mode
Course stateCurriculum ready

Course brief

A complete SonarQube Server curriculum spanning code-quality concepts, scanners and quality gates through security, governance, scaling, upgrades, and production administration.

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

  • Configure projects, scanners, rules, profiles, and quality gates
  • Apply new-code policies and interpret maintainability, reliability, and security findings
  • Integrate analysis with pull requests and CI/CD platforms
  • Secure and administer SonarQube Server in Docker, Kubernetes, and enterprise environments
  • Plan upgrades, backups, observability, performance, and governance at scale

Complete syllabus

34 chapters in prerequisite order.

The structure moves from fundamentals through architecture, automation, security, reliability, troubleshooting, scaling, and production operations.

01

Chapter 1

Static Analysis, Clean Code, Technical Debt, and Quality Governance

5 lessons
01
Static Analysis, Clean Code, Technical Debt, and Quality Governance: Core Concepts and Mental ModelReserved in course structure
Planned
02
Static Analysis, Clean Code, Technical Debt, and Quality Governance: Guided Hands-On WorkflowReserved in course structure
Planned
03
Static Analysis, Clean Code, Technical Debt, and Quality Governance: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Static Analysis, Clean Code, Technical Debt, and Quality Governance: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Static Analysis, Clean Code, Technical Debt, and Quality GovernanceReserved in course structure
Planned
02

Chapter 2

SonarQube Product Model, Editions, Components, and Architecture

5 lessons
01
SonarQube Product Model, Editions, Components, and Architecture: Core Concepts and Mental ModelReserved in course structure
Planned
02
SonarQube Product Model, Editions, Components, and Architecture: Guided Hands-On WorkflowReserved in course structure
Planned
03
SonarQube Product Model, Editions, Components, and Architecture: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
SonarQube Product Model, Editions, Components, and Architecture: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — SonarQube Product Model, Editions, Components, and ArchitectureReserved in course structure
Planned
03

Chapter 3

Installation Prerequisites, Database Planning, and First Server

5 lessons
01
Installation Prerequisites, Database Planning, and First Server: Core Concepts and Mental ModelReserved in course structure
Planned
02
Installation Prerequisites, Database Planning, and First Server: Guided Hands-On WorkflowReserved in course structure
Planned
03
Installation Prerequisites, Database Planning, and First Server: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Installation Prerequisites, Database Planning, and First Server: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Installation Prerequisites, Database Planning, and First ServerReserved in course structure
Planned
04

Chapter 4

Docker, Containers, Persistent Storage, and Production Deployment

5 lessons
01
Docker, Containers, Persistent Storage, and Production Deployment: Core Concepts and Mental ModelReserved in course structure
Planned
02
Docker, Containers, Persistent Storage, and Production Deployment: Guided Hands-On WorkflowReserved in course structure
Planned
03
Docker, Containers, Persistent Storage, and Production Deployment: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Docker, Containers, Persistent Storage, and Production Deployment: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Docker, Containers, Persistent Storage, and Production DeploymentReserved in course structure
Planned
05

Chapter 5

Kubernetes and OpenShift Deployment Patterns

5 lessons
01
Kubernetes and OpenShift Deployment Patterns: Core Concepts and Mental ModelReserved in course structure
Planned
02
Kubernetes and OpenShift Deployment Patterns: Guided Hands-On WorkflowReserved in course structure
Planned
03
Kubernetes and OpenShift Deployment Patterns: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Kubernetes and OpenShift Deployment Patterns: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Kubernetes and OpenShift Deployment PatternsReserved in course structure
Planned
06

Chapter 6

Projects, Tokens, Scanners, Analysis Parameters, and First Analysis

5 lessons
01
Projects, Tokens, Scanners, Analysis Parameters, and First Analysis: Core Concepts and Mental ModelReserved in course structure
Planned
02
Projects, Tokens, Scanners, Analysis Parameters, and First Analysis: Guided Hands-On WorkflowReserved in course structure
Planned
03
Projects, Tokens, Scanners, Analysis Parameters, and First Analysis: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Projects, Tokens, Scanners, Analysis Parameters, and First Analysis: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Projects, Tokens, Scanners, Analysis Parameters, and First AnalysisReserved in course structure
Planned
07

Chapter 7

Scanner Ecosystem: CLI, Maven, Gradle, .NET, and Build Integration

5 lessons
01
Scanner Ecosystem: CLI, Maven, Gradle, .NET, and Build Integration: Core Concepts and Mental ModelReserved in course structure
Planned
02
Scanner Ecosystem: CLI, Maven, Gradle, .NET, and Build Integration: Guided Hands-On WorkflowReserved in course structure
Planned
03
Scanner Ecosystem: CLI, Maven, Gradle, .NET, and Build Integration: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Scanner Ecosystem: CLI, Maven, Gradle, .NET, and Build Integration: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Scanner Ecosystem: CLI, Maven, Gradle, .NET, and Build IntegrationReserved in course structure
Planned
08

Chapter 8

Language Analysis, Sensors, SCM Data, and Source-Code Indexing

5 lessons
01
Language Analysis, Sensors, SCM Data, and Source-Code Indexing: Core Concepts and Mental ModelReserved in course structure
Planned
02
Language Analysis, Sensors, SCM Data, and Source-Code Indexing: Guided Hands-On WorkflowReserved in course structure
Planned
03
Language Analysis, Sensors, SCM Data, and Source-Code Indexing: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Language Analysis, Sensors, SCM Data, and Source-Code Indexing: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Language Analysis, Sensors, SCM Data, and Source-Code IndexingReserved in course structure
Planned
09

Chapter 9

Rules, Rule Types, Severities, Quality Profiles, and Customization

5 lessons
01
Rules, Rule Types, Severities, Quality Profiles, and Customization: Core Concepts and Mental ModelReserved in course structure
Planned
02
Rules, Rule Types, Severities, Quality Profiles, and Customization: Guided Hands-On WorkflowReserved in course structure
Planned
03
Rules, Rule Types, Severities, Quality Profiles, and Customization: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Rules, Rule Types, Severities, Quality Profiles, and Customization: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Rules, Rule Types, Severities, Quality Profiles, and CustomizationReserved in course structure
Planned
10

Chapter 10

Issues, Statuses, Assignments, False Positives, and Resolution Workflow

5 lessons
01
Issues, Statuses, Assignments, False Positives, and Resolution Workflow: Core Concepts and Mental ModelReserved in course structure
Planned
02
Issues, Statuses, Assignments, False Positives, and Resolution Workflow: Guided Hands-On WorkflowReserved in course structure
Planned
03
Issues, Statuses, Assignments, False Positives, and Resolution Workflow: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Issues, Statuses, Assignments, False Positives, and Resolution Workflow: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Issues, Statuses, Assignments, False Positives, and Resolution WorkflowReserved in course structure
Planned
11

Chapter 11

Quality Gates, Conditions, Policies, and Pipeline Enforcement

5 lessons
01
Quality Gates, Conditions, Policies, and Pipeline Enforcement: Core Concepts and Mental ModelReserved in course structure
Planned
02
Quality Gates, Conditions, Policies, and Pipeline Enforcement: Guided Hands-On WorkflowReserved in course structure
Planned
03
Quality Gates, Conditions, Policies, and Pipeline Enforcement: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Quality Gates, Conditions, Policies, and Pipeline Enforcement: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Quality Gates, Conditions, Policies, and Pipeline EnforcementReserved in course structure
Planned
12

Chapter 12

New Code, Clean-as-You-Code, Baselines, and Legacy Modernization

5 lessons
01
New Code, Clean-as-You-Code, Baselines, and Legacy Modernization: Core Concepts and Mental ModelReserved in course structure
Planned
02
New Code, Clean-as-You-Code, Baselines, and Legacy Modernization: Guided Hands-On WorkflowReserved in course structure
Planned
03
New Code, Clean-as-You-Code, Baselines, and Legacy Modernization: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
New Code, Clean-as-You-Code, Baselines, and Legacy Modernization: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — New Code, Clean-as-You-Code, Baselines, and Legacy ModernizationReserved in course structure
Planned
13

Chapter 13

Metrics: Reliability, Maintainability, Security, Complexity, and Size

5 lessons
01
Metrics: Reliability, Maintainability, Security, Complexity, and Size: Core Concepts and Mental ModelReserved in course structure
Planned
02
Metrics: Reliability, Maintainability, Security, Complexity, and Size: Guided Hands-On WorkflowReserved in course structure
Planned
03
Metrics: Reliability, Maintainability, Security, Complexity, and Size: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Metrics: Reliability, Maintainability, Security, Complexity, and Size: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Metrics: Reliability, Maintainability, Security, Complexity, and SizeReserved in course structure
Planned
14

Chapter 14

Coverage, Test Execution Data, Duplication, and External Analyzer Reports

5 lessons
01
Coverage, Test Execution Data, Duplication, and External Analyzer Reports: Core Concepts and Mental ModelReserved in course structure
Planned
02
Coverage, Test Execution Data, Duplication, and External Analyzer Reports: Guided Hands-On WorkflowReserved in course structure
Planned
03
Coverage, Test Execution Data, Duplication, and External Analyzer Reports: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Coverage, Test Execution Data, Duplication, and External Analyzer Reports: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Coverage, Test Execution Data, Duplication, and External Analyzer ReportsReserved in course structure
Planned
15

Chapter 15

Security Hotspots, Vulnerabilities, Taint Analysis, and Review Workflow

5 lessons
01
Security Hotspots, Vulnerabilities, Taint Analysis, and Review Workflow: Core Concepts and Mental ModelReserved in course structure
Planned
02
Security Hotspots, Vulnerabilities, Taint Analysis, and Review Workflow: Guided Hands-On WorkflowReserved in course structure
Planned
03
Security Hotspots, Vulnerabilities, Taint Analysis, and Review Workflow: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Security Hotspots, Vulnerabilities, Taint Analysis, and Review Workflow: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Security Hotspots, Vulnerabilities, Taint Analysis, and Review WorkflowReserved in course structure
Planned
16

Chapter 16

Secrets, Dependency/Supply-Chain Signals, and Advanced Security Boundaries

5 lessons
01
Secrets, Dependency/Supply-Chain Signals, and Advanced Security Boundaries: Core Concepts and Mental ModelReserved in course structure
Planned
02
Secrets, Dependency/Supply-Chain Signals, and Advanced Security Boundaries: Guided Hands-On WorkflowReserved in course structure
Planned
03
Secrets, Dependency/Supply-Chain Signals, and Advanced Security Boundaries: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Secrets, Dependency/Supply-Chain Signals, and Advanced Security Boundaries: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Secrets, Dependency/Supply-Chain Signals, and Advanced Security BoundariesReserved in course structure
Planned
17

Chapter 17

Branches, Pull Requests, Merge Requests, and Edition-Aware Analysis

5 lessons
01
Branches, Pull Requests, Merge Requests, and Edition-Aware Analysis: Core Concepts and Mental ModelReserved in course structure
Planned
02
Branches, Pull Requests, Merge Requests, and Edition-Aware Analysis: Guided Hands-On WorkflowReserved in course structure
Planned
03
Branches, Pull Requests, Merge Requests, and Edition-Aware Analysis: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Branches, Pull Requests, Merge Requests, and Edition-Aware Analysis: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Branches, Pull Requests, Merge Requests, and Edition-Aware AnalysisReserved in course structure
Planned
18

Chapter 18

GitHub, GitLab, Azure DevOps, and Bitbucket Integration

5 lessons
01
GitHub, GitLab, Azure DevOps, and Bitbucket Integration: Core Concepts and Mental ModelReserved in course structure
Planned
02
GitHub, GitLab, Azure DevOps, and Bitbucket Integration: Guided Hands-On WorkflowReserved in course structure
Planned
03
GitHub, GitLab, Azure DevOps, and Bitbucket Integration: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
GitHub, GitLab, Azure DevOps, and Bitbucket Integration: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — GitHub, GitLab, Azure DevOps, and Bitbucket IntegrationReserved in course structure
Planned
19

Chapter 19

CI Integration with GitHub Actions, GitLab CI, Jenkins, and Other Runners

5 lessons
01
CI Integration with GitHub Actions, GitLab CI, Jenkins, and Other Runners: Core Concepts and Mental ModelReserved in course structure
Planned
02
CI Integration with GitHub Actions, GitLab CI, Jenkins, and Other Runners: Guided Hands-On WorkflowReserved in course structure
Planned
03
CI Integration with GitHub Actions, GitLab CI, Jenkins, and Other Runners: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
CI Integration with GitHub Actions, GitLab CI, Jenkins, and Other Runners: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — CI Integration with GitHub Actions, GitLab CI, Jenkins, and Other RunnersReserved in course structure
Planned
20

Chapter 20

SonarQube for IDE Connected Mode and Developer Feedback Loops

5 lessons
01
SonarQube for IDE Connected Mode and Developer Feedback Loops: Core Concepts and Mental ModelReserved in course structure
Planned
02
SonarQube for IDE Connected Mode and Developer Feedback Loops: Guided Hands-On WorkflowReserved in course structure
Planned
03
SonarQube for IDE Connected Mode and Developer Feedback Loops: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
SonarQube for IDE Connected Mode and Developer Feedback Loops: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — SonarQube for IDE Connected Mode and Developer Feedback LoopsReserved in course structure
Planned
21

Chapter 21

Users, Groups, Permissions, Tokens, Authentication, and Authorization

5 lessons
01
Users, Groups, Permissions, Tokens, Authentication, and Authorization: Core Concepts and Mental ModelReserved in course structure
Planned
02
Users, Groups, Permissions, Tokens, Authentication, and Authorization: Guided Hands-On WorkflowReserved in course structure
Planned
03
Users, Groups, Permissions, Tokens, Authentication, and Authorization: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Users, Groups, Permissions, Tokens, Authentication, and Authorization: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Users, Groups, Permissions, Tokens, Authentication, and AuthorizationReserved in course structure
Planned
22

Chapter 22

SAML, LDAP, OIDC/SSO, Proxies, TLS, and Network Security

5 lessons
01
SAML, LDAP, OIDC/SSO, Proxies, TLS, and Network Security: Core Concepts and Mental ModelReserved in course structure
Planned
02
SAML, LDAP, OIDC/SSO, Proxies, TLS, and Network Security: Guided Hands-On WorkflowReserved in course structure
Planned
03
SAML, LDAP, OIDC/SSO, Proxies, TLS, and Network Security: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
SAML, LDAP, OIDC/SSO, Proxies, TLS, and Network Security: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — SAML, LDAP, OIDC/SSO, Proxies, TLS, and Network SecurityReserved in course structure
Planned
23

Chapter 23

Web API, Webhooks, Automation, Provisioning, and Policy as Code

5 lessons
01
Web API, Webhooks, Automation, Provisioning, and Policy as Code: Core Concepts and Mental ModelReserved in course structure
Planned
02
Web API, Webhooks, Automation, Provisioning, and Policy as Code: Guided Hands-On WorkflowReserved in course structure
Planned
03
Web API, Webhooks, Automation, Provisioning, and Policy as Code: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Web API, Webhooks, Automation, Provisioning, and Policy as Code: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Web API, Webhooks, Automation, Provisioning, and Policy as CodeReserved in course structure
Planned
24

Chapter 24

Monorepos, Multi-Module Builds, Generated Code, and Complex Repository Layouts

5 lessons
01
Monorepos, Multi-Module Builds, Generated Code, and Complex Repository Layouts: Core Concepts and Mental ModelReserved in course structure
Planned
02
Monorepos, Multi-Module Builds, Generated Code, and Complex Repository Layouts: Guided Hands-On WorkflowReserved in course structure
Planned
03
Monorepos, Multi-Module Builds, Generated Code, and Complex Repository Layouts: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Monorepos, Multi-Module Builds, Generated Code, and Complex Repository Layouts: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Monorepos, Multi-Module Builds, Generated Code, and Complex Repository LayoutsReserved in course structure
Planned
25

Chapter 25

Portfolios, Applications, Enterprise Reporting, and Governance Boundaries

5 lessons
01
Portfolios, Applications, Enterprise Reporting, and Governance Boundaries: Core Concepts and Mental ModelReserved in course structure
Planned
02
Portfolios, Applications, Enterprise Reporting, and Governance Boundaries: Guided Hands-On WorkflowReserved in course structure
Planned
03
Portfolios, Applications, Enterprise Reporting, and Governance Boundaries: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Portfolios, Applications, Enterprise Reporting, and Governance Boundaries: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Portfolios, Applications, Enterprise Reporting, and Governance BoundariesReserved in course structure
Planned
26

Chapter 26

Marketplace, Plugins, Extension Risks, and Compatibility Management

5 lessons
01
Marketplace, Plugins, Extension Risks, and Compatibility Management: Core Concepts and Mental ModelReserved in course structure
Planned
02
Marketplace, Plugins, Extension Risks, and Compatibility Management: Guided Hands-On WorkflowReserved in course structure
Planned
03
Marketplace, Plugins, Extension Risks, and Compatibility Management: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Marketplace, Plugins, Extension Risks, and Compatibility Management: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Marketplace, Plugins, Extension Risks, and Compatibility ManagementReserved in course structure
Planned
27

Chapter 27

Server Logs, Monitoring, Health, Elasticsearch, and Operational Diagnostics

5 lessons
01
Server Logs, Monitoring, Health, Elasticsearch, and Operational Diagnostics: Core Concepts and Mental ModelReserved in course structure
Planned
02
Server Logs, Monitoring, Health, Elasticsearch, and Operational Diagnostics: Guided Hands-On WorkflowReserved in course structure
Planned
03
Server Logs, Monitoring, Health, Elasticsearch, and Operational Diagnostics: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Server Logs, Monitoring, Health, Elasticsearch, and Operational Diagnostics: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Server Logs, Monitoring, Health, Elasticsearch, and Operational DiagnosticsReserved in course structure
Planned
28

Chapter 28

Database Backup, Restore, Disaster Recovery, and Data Protection

5 lessons
01
Database Backup, Restore, Disaster Recovery, and Data Protection: Core Concepts and Mental ModelReserved in course structure
Planned
02
Database Backup, Restore, Disaster Recovery, and Data Protection: Guided Hands-On WorkflowReserved in course structure
Planned
03
Database Backup, Restore, Disaster Recovery, and Data Protection: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Database Backup, Restore, Disaster Recovery, and Data Protection: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Database Backup, Restore, Disaster Recovery, and Data ProtectionReserved in course structure
Planned
29

Chapter 29

Release Cycle, LTA Strategy, Upgrade Paths, and Migration Planning

5 lessons
01
Release Cycle, LTA Strategy, Upgrade Paths, and Migration Planning: Core Concepts and Mental ModelReserved in course structure
Planned
02
Release Cycle, LTA Strategy, Upgrade Paths, and Migration Planning: Guided Hands-On WorkflowReserved in course structure
Planned
03
Release Cycle, LTA Strategy, Upgrade Paths, and Migration Planning: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Release Cycle, LTA Strategy, Upgrade Paths, and Migration Planning: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Release Cycle, LTA Strategy, Upgrade Paths, and Migration PlanningReserved in course structure
Planned
30

Chapter 30

Data Center Edition, Clustering, High Availability, and Scale

5 lessons
01
Data Center Edition, Clustering, High Availability, and Scale: Core Concepts and Mental ModelReserved in course structure
Planned
02
Data Center Edition, Clustering, High Availability, and Scale: Guided Hands-On WorkflowReserved in course structure
Planned
03
Data Center Edition, Clustering, High Availability, and Scale: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Data Center Edition, Clustering, High Availability, and Scale: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Data Center Edition, Clustering, High Availability, and ScaleReserved in course structure
Planned
31

Chapter 31

Performance Sizing, Reference Architectures, and Large-Instance Tuning

5 lessons
01
Performance Sizing, Reference Architectures, and Large-Instance Tuning: Core Concepts and Mental ModelReserved in course structure
Planned
02
Performance Sizing, Reference Architectures, and Large-Instance Tuning: Guided Hands-On WorkflowReserved in course structure
Planned
03
Performance Sizing, Reference Architectures, and Large-Instance Tuning: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Performance Sizing, Reference Architectures, and Large-Instance Tuning: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Performance Sizing, Reference Architectures, and Large-Instance TuningReserved in course structure
Planned
32

Chapter 32

Troubleshooting Analysis Failures, Index Problems, CI Drift, and Incidents

5 lessons
01
Troubleshooting Analysis Failures, Index Problems, CI Drift, and Incidents: Core Concepts and Mental ModelReserved in course structure
Planned
02
Troubleshooting Analysis Failures, Index Problems, CI Drift, and Incidents: Guided Hands-On WorkflowReserved in course structure
Planned
03
Troubleshooting Analysis Failures, Index Problems, CI Drift, and Incidents: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Troubleshooting Analysis Failures, Index Problems, CI Drift, and Incidents: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Troubleshooting Analysis Failures, Index Problems, CI Drift, and IncidentsReserved in course structure
Planned
33

Chapter 33

Enterprise Standards, Auditability, Developer Adoption, and Quality Programs

5 lessons
01
Enterprise Standards, Auditability, Developer Adoption, and Quality Programs: Core Concepts and Mental ModelReserved in course structure
Planned
02
Enterprise Standards, Auditability, Developer Adoption, and Quality Programs: Guided Hands-On WorkflowReserved in course structure
Planned
03
Enterprise Standards, Auditability, Developer Adoption, and Quality Programs: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Enterprise Standards, Auditability, Developer Adoption, and Quality Programs: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Enterprise Standards, Auditability, Developer Adoption, and Quality ProgramsReserved in course structure
Planned
34

Chapter 34

Capstone: Operate a Governed Production SonarQube Quality Platform

5 lessons
01
Capstone: Operate a Governed Production SonarQube Quality Platform: Core Concepts and Mental ModelReserved in course structure
Planned
02
Capstone: Operate a Governed Production SonarQube Quality Platform: Guided Hands-On WorkflowReserved in course structure
Planned
03
Capstone: Operate a Governed Production SonarQube Quality Platform: Configuration, Design Patterns, and Trade-OffsReserved in course structure
Planned
04
Capstone: Operate a Governed Production SonarQube Quality Platform: Diagnostics, Failure Modes, and Production PracticesReserved in course structure
Planned
05
Checkpoint Lab — Capstone: Operate a Governed Production SonarQube Quality PlatformReserved in course structure
Planned

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