Elasticsearch Training Programs

Build deep Elasticsearch expertise with our training catalog. From your first index to operating production clusters, I offer courses covering data modeling, query DSL, aggregations, cluster management, and observability patterns for every experience level.

Available Trainings

Duration Any Duration 2 days 3 days 4 days 5 days

Level Any Level Beginner Intermediate Advanced

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Elasticsearch Fundamentals

2 days | Beginner

Introduction to Elasticsearch — indexing, search, mappings, analyzers, and basic cluster operations.

Elasticsearch Data Modeling & Query DSL

2 days | Intermediate

Advanced mappings, query DSL, aggregations, relevance tuning, and data lifecycle management.

Elasticsearch Cluster Operations

3 days | Intermediate

Cluster architecture, shard management, monitoring, backup/restore, and performance tuning.

Elastic Observability Stack

3 days | Advanced

Logs, metrics, and traces with Elasticsearch, Kibana, Beats, Logstash, and APM at production scale.

Learning Paths

Recommended Learning Paths

Developer Path:

1. Elasticsearch Fundamentals
2. Elasticsearch Data Modeling & Query DSL
3. Elastic Observability Stack

Operations Path:

1. Elasticsearch Fundamentals
2. Elasticsearch Cluster Operations
3. Elastic Observability Stack

Full Elastic Path:

1. Elasticsearch Fundamentals
2. Elasticsearch Data Modeling & Query DSL
3. Elasticsearch Cluster Operations
4. Elastic Observability Stack

Core Topics Covered

Search & Analytics

• Full-text search with analyzers and tokenizers
• Query DSL — match, bool, range, nested, geo queries
• Aggregations — metric, bucket, pipeline
• Relevance scoring and function_score
• Suggesters and autocomplete

Data Management

• Index mappings and templates
• Index lifecycle management (ILM)
• Data streams for time-series data
• Reindex and migration strategies
• Snapshot and restore

Cluster Operations

• Node roles — master, data, ingest, coordinating
• Shard allocation and rebalancing
• Cross-cluster search and replication
• Security — TLS, RBAC, field-level security
• Performance tuning and capacity planning

Observability

• Filebeat, Metricbeat, Packetbeat, Heartbeat
• Logstash pipelines and filters
• Elastic APM for application tracing
• Kibana dashboards and alerting
• Fleet and Elastic Agent management

Hands-On Labs

Every course includes practical labs with real Elasticsearch clusters:

• Lab Environments — Pre-configured multi-node clusters for exercises
• Guided Exercises — Step-by-step instructions with explanations
• Challenge Labs — Test your skills with real scenarios
• Capstone Projects — Build complete search and observability solutions

Delivery Formats

Every training is available in multiple formats to fit your team’s needs:

Format	Description
In-Person	On-site at your company’s location. Hands-on with direct interaction.
Live Online	Interactive virtual sessions with screen sharing and real-time labs.
Hybrid	Combination of on-site and remote sessions with flexible scheduling.

All formats include hands-on labs, course materials, and post-training support. Pricing is custom per engagement based on team size, duration, and delivery format.

Prerequisites

For Beginner Courses (Fundamentals):

• Basic understanding of JSON and REST APIs
• Familiarity with Linux command line
• No prior Elasticsearch experience required

For Intermediate Courses:

• Elasticsearch Fundamentals or equivalent experience
• Comfortable with indexing, searching, and basic cluster concepts
• Basic networking knowledge

For Advanced Courses (Observability):

• Strong Elasticsearch operational experience
• Linux system administration skills
• Understanding of logging, metrics, and distributed tracing concepts

Get Started

Every training is customized to your team’s experience level and goals. Contact me to discuss your requirements, preferred schedule, and delivery format.

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