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Stage 11 · Monitoring, Logging & Observability

Elastic Stack Complete Course

Master Elasticsearch, Kibana, Logstash, Beats, Elastic Agent, Fleet, ingest pipelines, data streams, ILM, search, security, observability, APM, vector retrieval, scaling, snapshots, upgrades, and production cluster operations.

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ELK
51chapters
255lessons
Advancedstarting level
Hands-onlearning mode
Course stateCurriculum ready

Course brief

A deep Elastic Stack curriculum covering distributed search, log ingestion, observability, security, lifecycle management, scalable operations, and modern semantic/vector retrieval.

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

  • Design Elasticsearch indices, mappings, data streams, shards, replicas, and lifecycle policies
  • Ingest and transform data with Elastic Agent, Beats, Logstash, and ingest pipelines
  • Build Kibana visualizations, dashboards, alerting, observability, and search workflows
  • Secure and govern Elastic clusters with TLS, roles, API keys, audit, and data controls
  • Scale, tune, snapshot, upgrade, troubleshoot, and recover production Elastic deployments

Complete syllabus

51 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

Elastic Stack Foundations: Elasticsearch, Kibana, Logstash, Beats, Agent, and Fleet

5 lessons
01
Elastic Stack Foundations: Elasticsearch, Kibana, Logstash, Beats, Agent, and Fleet: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Elastic Stack Foundations: Elasticsearch, Kibana, Logstash, Beats, Agent, and Fleet: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Elastic Stack Foundations: Elasticsearch, Kibana, Logstash, Beats, Agent, and Fleet: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Elastic Stack Foundations: Elasticsearch, Kibana, Logstash, Beats, Agent, and Fleet: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Elastic Stack Foundations: Elasticsearch, Kibana, Logstash, Beats, Agent, and FleetReserved in course structure
Planned
02

Chapter 2

Elastic Stack 9.4 Architecture, Editions, Deployment Models, and Release Lifecycle

5 lessons
01
Elastic Stack 9.4 Architecture, Editions, Deployment Models, and Release Lifecycle: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Elastic Stack 9.4 Architecture, Editions, Deployment Models, and Release Lifecycle: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Elastic Stack 9.4 Architecture, Editions, Deployment Models, and Release Lifecycle: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Elastic Stack 9.4 Architecture, Editions, Deployment Models, and Release Lifecycle: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Elastic Stack 9.4 Architecture, Editions, Deployment Models, and Release LifecycleReserved in course structure
Planned
03

Chapter 3

Installing Elasticsearch, Kibana, Logstash, and Local Multi-Node Labs

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

Chapter 4

Elasticsearch Cluster Architecture, Nodes, Roles, Master Election, and Coordination

5 lessons
01
Elasticsearch Cluster Architecture, Nodes, Roles, Master Election, and Coordination: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Elasticsearch Cluster Architecture, Nodes, Roles, Master Election, and Coordination: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Elasticsearch Cluster Architecture, Nodes, Roles, Master Election, and Coordination: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Elasticsearch Cluster Architecture, Nodes, Roles, Master Election, and Coordination: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Elasticsearch Cluster Architecture, Nodes, Roles, Master Election, and CoordinationReserved in course structure
Planned
05

Chapter 5

Indices, Documents, Fields, JSON, CRUD, and REST API Fundamentals

5 lessons
01
Indices, Documents, Fields, JSON, CRUD, and REST API Fundamentals: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Indices, Documents, Fields, JSON, CRUD, and REST API Fundamentals: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Indices, Documents, Fields, JSON, CRUD, and REST API Fundamentals: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Indices, Documents, Fields, JSON, CRUD, and REST API Fundamentals: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Indices, Documents, Fields, JSON, CRUD, and REST API FundamentalsReserved in course structure
Planned
06

Chapter 6

Mappings, Field Types, Dynamic Mapping, Templates, and Mapping Explosion

5 lessons
01
Mappings, Field Types, Dynamic Mapping, Templates, and Mapping Explosion: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Mappings, Field Types, Dynamic Mapping, Templates, and Mapping Explosion: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Mappings, Field Types, Dynamic Mapping, Templates, and Mapping Explosion: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Mappings, Field Types, Dynamic Mapping, Templates, and Mapping Explosion: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Mappings, Field Types, Dynamic Mapping, Templates, and Mapping ExplosionReserved in course structure
Planned
07

Chapter 7

Text Analysis, Analyzers, Tokenizers, Token Filters, Normalizers, and Languages

5 lessons
01
Text Analysis, Analyzers, Tokenizers, Token Filters, Normalizers, and Languages: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Text Analysis, Analyzers, Tokenizers, Token Filters, Normalizers, and Languages: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Text Analysis, Analyzers, Tokenizers, Token Filters, Normalizers, and Languages: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Text Analysis, Analyzers, Tokenizers, Token Filters, Normalizers, and Languages: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Text Analysis, Analyzers, Tokenizers, Token Filters, Normalizers, and LanguagesReserved in course structure
Planned
08

Chapter 8

Inverted Indexes, BKD Trees, Doc Values, Stored Fields, and Search Internals

5 lessons
01
Inverted Indexes, BKD Trees, Doc Values, Stored Fields, and Search Internals: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Inverted Indexes, BKD Trees, Doc Values, Stored Fields, and Search Internals: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Inverted Indexes, BKD Trees, Doc Values, Stored Fields, and Search Internals: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Inverted Indexes, BKD Trees, Doc Values, Stored Fields, and Search Internals: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Inverted Indexes, BKD Trees, Doc Values, Stored Fields, and Search InternalsReserved in course structure
Planned
09

Chapter 9

Query DSL Fundamentals: term, match, bool, range, exists, and Filters

5 lessons
01
Query DSL Fundamentals: term, match, bool, range, exists, and Filters: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Query DSL Fundamentals: term, match, bool, range, exists, and Filters: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Query DSL Fundamentals: term, match, bool, range, exists, and Filters: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Query DSL Fundamentals: term, match, bool, range, exists, and Filters: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Query DSL Fundamentals: term, match, bool, range, exists, and FiltersReserved in course structure
Planned
10

Chapter 10

Full-Text Search, Relevance, BM25, Multi-Match, Phrase, and Query Design

5 lessons
01
Full-Text Search, Relevance, BM25, Multi-Match, Phrase, and Query Design: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Full-Text Search, Relevance, BM25, Multi-Match, Phrase, and Query Design: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Full-Text Search, Relevance, BM25, Multi-Match, Phrase, and Query Design: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Full-Text Search, Relevance, BM25, Multi-Match, Phrase, and Query Design: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Full-Text Search, Relevance, BM25, Multi-Match, Phrase, and Query DesignReserved in course structure
Planned
11

Chapter 11

Aggregations: Metrics, Buckets, Pipeline Aggregations, and Analytics

5 lessons
01
Aggregations: Metrics, Buckets, Pipeline Aggregations, and Analytics: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Aggregations: Metrics, Buckets, Pipeline Aggregations, and Analytics: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Aggregations: Metrics, Buckets, Pipeline Aggregations, and Analytics: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Aggregations: Metrics, Buckets, Pipeline Aggregations, and Analytics: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Aggregations: Metrics, Buckets, Pipeline Aggregations, and AnalyticsReserved in course structure
Planned
12

Chapter 12

Runtime Fields, Scripts, Painless, Scripted Fields, and Performance Trade-Offs

5 lessons
01
Runtime Fields, Scripts, Painless, Scripted Fields, and Performance Trade-Offs: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Runtime Fields, Scripts, Painless, Scripted Fields, and Performance Trade-Offs: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Runtime Fields, Scripts, Painless, Scripted Fields, and Performance Trade-Offs: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Runtime Fields, Scripts, Painless, Scripted Fields, and Performance Trade-Offs: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Runtime Fields, Scripts, Painless, Scripted Fields, and Performance Trade-OffsReserved in course structure
Planned
13

Chapter 13

Aliases, Index Templates, Component Templates, and Reusable Index Configuration

5 lessons
01
Aliases, Index Templates, Component Templates, and Reusable Index Configuration: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Aliases, Index Templates, Component Templates, and Reusable Index Configuration: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Aliases, Index Templates, Component Templates, and Reusable Index Configuration: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Aliases, Index Templates, Component Templates, and Reusable Index Configuration: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Aliases, Index Templates, Component Templates, and Reusable Index ConfigurationReserved in course structure
Planned
14

Chapter 14

Data Streams, Backing Indices, Rollover, and Time-Series Data Architecture

5 lessons
01
Data Streams, Backing Indices, Rollover, and Time-Series Data Architecture: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Data Streams, Backing Indices, Rollover, and Time-Series Data Architecture: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Data Streams, Backing Indices, Rollover, and Time-Series Data Architecture: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Data Streams, Backing Indices, Rollover, and Time-Series Data Architecture: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Data Streams, Backing Indices, Rollover, and Time-Series Data ArchitectureReserved in course structure
Planned
15

Chapter 15

Time Series Data Streams, Downsampling Concepts, Dimensions, and Metrics

5 lessons
01
Time Series Data Streams, Downsampling Concepts, Dimensions, and Metrics: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Time Series Data Streams, Downsampling Concepts, Dimensions, and Metrics: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Time Series Data Streams, Downsampling Concepts, Dimensions, and Metrics: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Time Series Data Streams, Downsampling Concepts, Dimensions, and Metrics: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Time Series Data Streams, Downsampling Concepts, Dimensions, and MetricsReserved in course structure
Planned
16

Chapter 16

Shards, Replicas, Routing, Allocation, Awareness, and Failure Domains

5 lessons
01
Shards, Replicas, Routing, Allocation, Awareness, and Failure Domains: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Shards, Replicas, Routing, Allocation, Awareness, and Failure Domains: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Shards, Replicas, Routing, Allocation, Awareness, and Failure Domains: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Shards, Replicas, Routing, Allocation, Awareness, and Failure Domains: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Shards, Replicas, Routing, Allocation, Awareness, and Failure DomainsReserved in course structure
Planned
17

Chapter 17

Shard Sizing, Oversharding, Cluster State, Heap, and Capacity Planning

5 lessons
01
Shard Sizing, Oversharding, Cluster State, Heap, and Capacity Planning: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Shard Sizing, Oversharding, Cluster State, Heap, and Capacity Planning: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Shard Sizing, Oversharding, Cluster State, Heap, and Capacity Planning: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Shard Sizing, Oversharding, Cluster State, Heap, and Capacity Planning: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Shard Sizing, Oversharding, Cluster State, Heap, and Capacity PlanningReserved in course structure
Planned
18

Chapter 18

Index Lifecycle Management, Hot-Warm-Cold-Frozen, Rollover, and Delete

5 lessons
01
Index Lifecycle Management, Hot-Warm-Cold-Frozen, Rollover, and Delete: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Index Lifecycle Management, Hot-Warm-Cold-Frozen, Rollover, and Delete: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Index Lifecycle Management, Hot-Warm-Cold-Frozen, Rollover, and Delete: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Index Lifecycle Management, Hot-Warm-Cold-Frozen, Rollover, and Delete: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Index Lifecycle Management, Hot-Warm-Cold-Frozen, Rollover, and DeleteReserved in course structure
Planned
19

Chapter 19

Data Lifecycle Management Concepts and Serverless-Oriented Retention

5 lessons
01
Data Lifecycle Management Concepts and Serverless-Oriented Retention: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Data Lifecycle Management Concepts and Serverless-Oriented Retention: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Data Lifecycle Management Concepts and Serverless-Oriented Retention: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Data Lifecycle Management Concepts and Serverless-Oriented Retention: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Data Lifecycle Management Concepts and Serverless-Oriented RetentionReserved in course structure
Planned
20

Chapter 20

Searchable Snapshots, Frozen Tier, Object Storage, and Cost Optimization

5 lessons
01
Searchable Snapshots, Frozen Tier, Object Storage, and Cost Optimization: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Searchable Snapshots, Frozen Tier, Object Storage, and Cost Optimization: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Searchable Snapshots, Frozen Tier, Object Storage, and Cost Optimization: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Searchable Snapshots, Frozen Tier, Object Storage, and Cost Optimization: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Searchable Snapshots, Frozen Tier, Object Storage, and Cost OptimizationReserved in course structure
Planned
21

Chapter 21

Ingest Pipelines, Processors, Grok, Dissect, Enrich, Script, and Failure Handling

5 lessons
01
Ingest Pipelines, Processors, Grok, Dissect, Enrich, Script, and Failure Handling: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Ingest Pipelines, Processors, Grok, Dissect, Enrich, Script, and Failure Handling: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Ingest Pipelines, Processors, Grok, Dissect, Enrich, Script, and Failure Handling: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Ingest Pipelines, Processors, Grok, Dissect, Enrich, Script, and Failure Handling: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Ingest Pipelines, Processors, Grok, Dissect, Enrich, Script, and Failure HandlingReserved in course structure
Planned
22

Chapter 22

Elastic Agent, Integrations, Fleet Server, Policies, Enrollment, and Upgrades

5 lessons
01
Elastic Agent, Integrations, Fleet Server, Policies, Enrollment, and Upgrades: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Elastic Agent, Integrations, Fleet Server, Policies, Enrollment, and Upgrades: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Elastic Agent, Integrations, Fleet Server, Policies, Enrollment, and Upgrades: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Elastic Agent, Integrations, Fleet Server, Policies, Enrollment, and Upgrades: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Elastic Agent, Integrations, Fleet Server, Policies, Enrollment, and UpgradesReserved in course structure
Planned
23

Chapter 23

Beats Architecture, Filebeat, Metricbeat, Heartbeat Concepts, and Migration to Agent

5 lessons
01
Beats Architecture, Filebeat, Metricbeat, Heartbeat Concepts, and Migration to Agent: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Beats Architecture, Filebeat, Metricbeat, Heartbeat Concepts, and Migration to Agent: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Beats Architecture, Filebeat, Metricbeat, Heartbeat Concepts, and Migration to Agent: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Beats Architecture, Filebeat, Metricbeat, Heartbeat Concepts, and Migration to Agent: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Beats Architecture, Filebeat, Metricbeat, Heartbeat Concepts, and Migration to AgentReserved in course structure
Planned
24

Chapter 24

Logstash Architecture, Inputs, Filters, Outputs, Codecs, and Events

5 lessons
01
Logstash Architecture, Inputs, Filters, Outputs, Codecs, and Events: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Logstash Architecture, Inputs, Filters, Outputs, Codecs, and Events: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Logstash Architecture, Inputs, Filters, Outputs, Codecs, and Events: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Logstash Architecture, Inputs, Filters, Outputs, Codecs, and Events: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Logstash Architecture, Inputs, Filters, Outputs, Codecs, and EventsReserved in course structure
Planned
25

Chapter 25

Logstash Pipelines, Grok, Dissect, Mutate, Date, Aggregate, and Conditional Logic

5 lessons
01
Logstash Pipelines, Grok, Dissect, Mutate, Date, Aggregate, and Conditional Logic: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Logstash Pipelines, Grok, Dissect, Mutate, Date, Aggregate, and Conditional Logic: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Logstash Pipelines, Grok, Dissect, Mutate, Date, Aggregate, and Conditional Logic: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Logstash Pipelines, Grok, Dissect, Mutate, Date, Aggregate, and Conditional Logic: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Logstash Pipelines, Grok, Dissect, Mutate, Date, Aggregate, and Conditional LogicReserved in course structure
Planned
26

Chapter 26

Logstash Persistent Queues, Dead Letter Queues, Backpressure, and Reliability

5 lessons
01
Logstash Persistent Queues, Dead Letter Queues, Backpressure, and Reliability: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Logstash Persistent Queues, Dead Letter Queues, Backpressure, and Reliability: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Logstash Persistent Queues, Dead Letter Queues, Backpressure, and Reliability: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Logstash Persistent Queues, Dead Letter Queues, Backpressure, and Reliability: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Logstash Persistent Queues, Dead Letter Queues, Backpressure, and ReliabilityReserved in course structure
Planned
27

Chapter 27

Logstash Multiple Pipelines, Pipeline-to-Pipeline, Monitoring, and Performance

5 lessons
01
Logstash Multiple Pipelines, Pipeline-to-Pipeline, Monitoring, and Performance: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Logstash Multiple Pipelines, Pipeline-to-Pipeline, Monitoring, and Performance: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Logstash Multiple Pipelines, Pipeline-to-Pipeline, Monitoring, and Performance: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Logstash Multiple Pipelines, Pipeline-to-Pipeline, Monitoring, and Performance: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Logstash Multiple Pipelines, Pipeline-to-Pipeline, Monitoring, and PerformanceReserved in course structure
Planned
28

Chapter 28

Kibana Foundations, Spaces, Data Views, Discover, Saved Objects, and Navigation

5 lessons
01
Kibana Foundations, Spaces, Data Views, Discover, Saved Objects, and Navigation: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Kibana Foundations, Spaces, Data Views, Discover, Saved Objects, and Navigation: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Kibana Foundations, Spaces, Data Views, Discover, Saved Objects, and Navigation: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Kibana Foundations, Spaces, Data Views, Discover, Saved Objects, and Navigation: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Kibana Foundations, Spaces, Data Views, Discover, Saved Objects, and NavigationReserved in course structure
Planned
29

Chapter 29

Lens, Dashboards, Visualizations, Controls, Maps, and Operational Exploration

5 lessons
01
Lens, Dashboards, Visualizations, Controls, Maps, and Operational Exploration: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Lens, Dashboards, Visualizations, Controls, Maps, and Operational Exploration: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Lens, Dashboards, Visualizations, Controls, Maps, and Operational Exploration: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Lens, Dashboards, Visualizations, Controls, Maps, and Operational Exploration: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Lens, Dashboards, Visualizations, Controls, Maps, and Operational ExplorationReserved in course structure
Planned
30

Chapter 30

Kibana Query Language, Lucene Syntax, ES|QL, and Analytical Workflows

5 lessons
01
Kibana Query Language, Lucene Syntax, ES|QL, and Analytical Workflows: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Kibana Query Language, Lucene Syntax, ES|QL, and Analytical Workflows: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Kibana Query Language, Lucene Syntax, ES|QL, and Analytical Workflows: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Kibana Query Language, Lucene Syntax, ES|QL, and Analytical Workflows: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Kibana Query Language, Lucene Syntax, ES|QL, and Analytical WorkflowsReserved in course structure
Planned
31

Chapter 31

Kibana Alerting, Rules, Connectors, Cases, and Incident Workflows

5 lessons
01
Kibana Alerting, Rules, Connectors, Cases, and Incident Workflows: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Kibana Alerting, Rules, Connectors, Cases, and Incident Workflows: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Kibana Alerting, Rules, Connectors, Cases, and Incident Workflows: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Kibana Alerting, Rules, Connectors, Cases, and Incident Workflows: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Kibana Alerting, Rules, Connectors, Cases, and Incident WorkflowsReserved in course structure
Planned
32

Chapter 32

Elastic Observability: Logs, Metrics, Uptime/Synthetics, and Infrastructure Views

5 lessons
01
Elastic Observability: Logs, Metrics, Uptime/Synthetics, and Infrastructure Views: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Elastic Observability: Logs, Metrics, Uptime/Synthetics, and Infrastructure Views: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Elastic Observability: Logs, Metrics, Uptime/Synthetics, and Infrastructure Views: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Elastic Observability: Logs, Metrics, Uptime/Synthetics, and Infrastructure Views: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Elastic Observability: Logs, Metrics, Uptime/Synthetics, and Infrastructure ViewsReserved in course structure
Planned
33

Chapter 33

Elastic APM, Agents, Transactions, Spans, Services, and Distributed Tracing

5 lessons
01
Elastic APM, Agents, Transactions, Spans, Services, and Distributed Tracing: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Elastic APM, Agents, Transactions, Spans, Services, and Distributed Tracing: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Elastic APM, Agents, Transactions, Spans, Services, and Distributed Tracing: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Elastic APM, Agents, Transactions, Spans, Services, and Distributed Tracing: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Elastic APM, Agents, Transactions, Spans, Services, and Distributed TracingReserved in course structure
Planned
34

Chapter 34

OpenTelemetry Integration, OTLP, Elastic APM Server, and Signal Correlation

5 lessons
01
OpenTelemetry Integration, OTLP, Elastic APM Server, and Signal Correlation: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
OpenTelemetry Integration, OTLP, Elastic APM Server, and Signal Correlation: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
OpenTelemetry Integration, OTLP, Elastic APM Server, and Signal Correlation: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
OpenTelemetry Integration, OTLP, Elastic APM Server, and Signal Correlation: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — OpenTelemetry Integration, OTLP, Elastic APM Server, and Signal CorrelationReserved in course structure
Planned
35

Chapter 35

Elasticsearch Security, TLS, Users, Roles, Privileges, and Native Realm

5 lessons
01
Elasticsearch Security, TLS, Users, Roles, Privileges, and Native Realm: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Elasticsearch Security, TLS, Users, Roles, Privileges, and Native Realm: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Elasticsearch Security, TLS, Users, Roles, Privileges, and Native Realm: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Elasticsearch Security, TLS, Users, Roles, Privileges, and Native Realm: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Elasticsearch Security, TLS, Users, Roles, Privileges, and Native RealmReserved in course structure
Planned
36

Chapter 36

API Keys, Service Accounts, Tokens, SSO/OIDC/SAML/LDAP Concepts, and Authentication

5 lessons
01
API Keys, Service Accounts, Tokens, SSO/OIDC/SAML/LDAP Concepts, and Authentication: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
API Keys, Service Accounts, Tokens, SSO/OIDC/SAML/LDAP Concepts, and Authentication: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
API Keys, Service Accounts, Tokens, SSO/OIDC/SAML/LDAP Concepts, and Authentication: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
API Keys, Service Accounts, Tokens, SSO/OIDC/SAML/LDAP Concepts, and Authentication: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — API Keys, Service Accounts, Tokens, SSO/OIDC/SAML/LDAP Concepts, and AuthenticationReserved in course structure
Planned
37

Chapter 37

Document-Level Security, Field-Level Security, Spaces, and Multi-Tenancy

5 lessons
01
Document-Level Security, Field-Level Security, Spaces, and Multi-Tenancy: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Document-Level Security, Field-Level Security, Spaces, and Multi-Tenancy: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Document-Level Security, Field-Level Security, Spaces, and Multi-Tenancy: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Document-Level Security, Field-Level Security, Spaces, and Multi-Tenancy: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Document-Level Security, Field-Level Security, Spaces, and Multi-TenancyReserved in course structure
Planned
38

Chapter 38

Audit Logging, Encryption, Compliance, Sensitive Data, and Security Hardening

5 lessons
01
Audit Logging, Encryption, Compliance, Sensitive Data, and Security Hardening: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Audit Logging, Encryption, Compliance, Sensitive Data, and Security Hardening: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Audit Logging, Encryption, Compliance, Sensitive Data, and Security Hardening: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Audit Logging, Encryption, Compliance, Sensitive Data, and Security Hardening: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Audit Logging, Encryption, Compliance, Sensitive Data, and Security HardeningReserved in course structure
Planned
39

Chapter 39

Cross-Cluster Search, Remote Clusters, Cross-Cluster Replication, and Multi-Region Design

5 lessons
01
Cross-Cluster Search, Remote Clusters, Cross-Cluster Replication, and Multi-Region Design: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Cross-Cluster Search, Remote Clusters, Cross-Cluster Replication, and Multi-Region Design: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Cross-Cluster Search, Remote Clusters, Cross-Cluster Replication, and Multi-Region Design: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Cross-Cluster Search, Remote Clusters, Cross-Cluster Replication, and Multi-Region Design: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Cross-Cluster Search, Remote Clusters, Cross-Cluster Replication, and Multi-Region DesignReserved in course structure
Planned
40

Chapter 40

Snapshot Lifecycle Management, Repositories, Snapshots, Restore, and DR

5 lessons
01
Snapshot Lifecycle Management, Repositories, Snapshots, Restore, and DR: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Snapshot Lifecycle Management, Repositories, Snapshots, Restore, and DR: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Snapshot Lifecycle Management, Repositories, Snapshots, Restore, and DR: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Snapshot Lifecycle Management, Repositories, Snapshots, Restore, and DR: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Snapshot Lifecycle Management, Repositories, Snapshots, Restore, and DRReserved in course structure
Planned
41

Chapter 41

Transforms, Entity-Centric Indices, Continuous Transforms, and Analytics

5 lessons
01
Transforms, Entity-Centric Indices, Continuous Transforms, and Analytics: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Transforms, Entity-Centric Indices, Continuous Transforms, and Analytics: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Transforms, Entity-Centric Indices, Continuous Transforms, and Analytics: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Transforms, Entity-Centric Indices, Continuous Transforms, and Analytics: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Transforms, Entity-Centric Indices, Continuous Transforms, and AnalyticsReserved in course structure
Planned
42

Chapter 42

Machine Learning Jobs, Anomaly Detection, Data Frame Analytics Concepts, and Alerts

5 lessons
01
Machine Learning Jobs, Anomaly Detection, Data Frame Analytics Concepts, and Alerts: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Machine Learning Jobs, Anomaly Detection, Data Frame Analytics Concepts, and Alerts: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Machine Learning Jobs, Anomaly Detection, Data Frame Analytics Concepts, and Alerts: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Machine Learning Jobs, Anomaly Detection, Data Frame Analytics Concepts, and Alerts: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Machine Learning Jobs, Anomaly Detection, Data Frame Analytics Concepts, and AlertsReserved in course structure
Planned
43

Chapter 43

Vector Search, dense_vector, kNN, HNSW, Quantization, and ANN Fundamentals

5 lessons
01
Vector Search, dense_vector, kNN, HNSW, Quantization, and ANN Fundamentals: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Vector Search, dense_vector, kNN, HNSW, Quantization, and ANN Fundamentals: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Vector Search, dense_vector, kNN, HNSW, Quantization, and ANN Fundamentals: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Vector Search, dense_vector, kNN, HNSW, Quantization, and ANN Fundamentals: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Vector Search, dense_vector, kNN, HNSW, Quantization, and ANN FundamentalsReserved in course structure
Planned
44

Chapter 44

Semantic Search, Inference Endpoints, Hybrid Retrieval, Reranking, and RAG Patterns

5 lessons
01
Semantic Search, Inference Endpoints, Hybrid Retrieval, Reranking, and RAG Patterns: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Semantic Search, Inference Endpoints, Hybrid Retrieval, Reranking, and RAG Patterns: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Semantic Search, Inference Endpoints, Hybrid Retrieval, Reranking, and RAG Patterns: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Semantic Search, Inference Endpoints, Hybrid Retrieval, Reranking, and RAG Patterns: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Semantic Search, Inference Endpoints, Hybrid Retrieval, Reranking, and RAG PatternsReserved in course structure
Planned
45

Chapter 45

Search Applications, Relevance Evaluation, Synonyms, Query Rules, and Tuning

5 lessons
01
Search Applications, Relevance Evaluation, Synonyms, Query Rules, and Tuning: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Search Applications, Relevance Evaluation, Synonyms, Query Rules, and Tuning: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Search Applications, Relevance Evaluation, Synonyms, Query Rules, and Tuning: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Search Applications, Relevance Evaluation, Synonyms, Query Rules, and Tuning: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Search Applications, Relevance Evaluation, Synonyms, Query Rules, and TuningReserved in course structure
Planned
46

Chapter 46

Profiling Search, Slow Logs, Hot Threads, Tasks, Node Stats, and Diagnostics

5 lessons
01
Profiling Search, Slow Logs, Hot Threads, Tasks, Node Stats, and Diagnostics: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Profiling Search, Slow Logs, Hot Threads, Tasks, Node Stats, and Diagnostics: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Profiling Search, Slow Logs, Hot Threads, Tasks, Node Stats, and Diagnostics: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Profiling Search, Slow Logs, Hot Threads, Tasks, Node Stats, and Diagnostics: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Profiling Search, Slow Logs, Hot Threads, Tasks, Node Stats, and DiagnosticsReserved in course structure
Planned
47

Chapter 47

Indexing Performance, Bulk API, Refresh, Merges, Translog, and Throughput Tuning

5 lessons
01
Indexing Performance, Bulk API, Refresh, Merges, Translog, and Throughput Tuning: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Indexing Performance, Bulk API, Refresh, Merges, Translog, and Throughput Tuning: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Indexing Performance, Bulk API, Refresh, Merges, Translog, and Throughput Tuning: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Indexing Performance, Bulk API, Refresh, Merges, Translog, and Throughput Tuning: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Indexing Performance, Bulk API, Refresh, Merges, Translog, and Throughput TuningReserved in course structure
Planned
48

Chapter 48

Search Performance, Caches, Memory, Query Design, Aggregation Cost, and Latency

5 lessons
01
Search Performance, Caches, Memory, Query Design, Aggregation Cost, and Latency: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Search Performance, Caches, Memory, Query Design, Aggregation Cost, and Latency: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Search Performance, Caches, Memory, Query Design, Aggregation Cost, and Latency: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Search Performance, Caches, Memory, Query Design, Aggregation Cost, and Latency: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Search Performance, Caches, Memory, Query Design, Aggregation Cost, and LatencyReserved in course structure
Planned
49

Chapter 49

Cluster Monitoring, Stack Monitoring, Prometheus Concepts, Logging, and Alerting

5 lessons
01
Cluster Monitoring, Stack Monitoring, Prometheus Concepts, Logging, and Alerting: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Cluster Monitoring, Stack Monitoring, Prometheus Concepts, Logging, and Alerting: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Cluster Monitoring, Stack Monitoring, Prometheus Concepts, Logging, and Alerting: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Cluster Monitoring, Stack Monitoring, Prometheus Concepts, Logging, and Alerting: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Cluster Monitoring, Stack Monitoring, Prometheus Concepts, Logging, and AlertingReserved in course structure
Planned
50

Chapter 50

Rolling Upgrades, Breaking Changes, 8.x-to-9.x Migration, and Compatibility

5 lessons
01
Rolling Upgrades, Breaking Changes, 8.x-to-9.x Migration, and Compatibility: Concepts, Vocabulary, and Mental ModelReserved in course structure
Planned
02
Rolling Upgrades, Breaking Changes, 8.x-to-9.x Migration, and Compatibility: Guided Configuration and Hands-On WorkflowReserved in course structure
Planned
03
Rolling Upgrades, Breaking Changes, 8.x-to-9.x Migration, and Compatibility: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure
Planned
04
Rolling Upgrades, Breaking Changes, 8.x-to-9.x Migration, and Compatibility: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure
Planned
05
Checkpoint Lab — Rolling Upgrades, Breaking Changes, 8.x-to-9.x Migration, and CompatibilityReserved in course structure
Planned
51

Chapter 51

Production Capstone: Design, Secure, Scale, Observe, Search, Upgrade, and Recover an Elastic Platform

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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