
Follow the English installation guide attached to each video to set up Elastic Search and Kibana, focusing on your Windows, Linux, macOS, or Docker setup and skipping unrelated videos.
Install and configure a single-node Elasticsearch cluster on Windows by downloading, extracting, running bin/elasticsearch, authenticating with the elastic user, and editing elasticsearch.yml to set cluster and node names.
Install Elasticsearch on Linux, configure a production-ready cluster with a custom name, network host, and security settings, then generate certificates, open ports, run in background, and verify green health.
Install Kibana using Docker and Docker Compose, configure kibana.yml with Elasticsearch connection and certificates, set up ports and credentials, start containers, and access the Kibana interface at port 5601.
Install and configure Elasticsearch and Kibana on macOS, set up a local development environment, and begin exploring data indexing and visualization.
Master Elasticsearch and Kibana configuration basics, including yml files, cluster and node roles, data paths, security, ports, and discovery. Learn heap management, alerting, audit, and Kibana connection security.
Explore nested search in elasticsearch by specifying the path specification, and perform exact term queries on nested fields like specification.name and specification.value, using boolean must and filter clauses.
Explore how pipeline aggregations extend bucket and metric aggregations to identify the category with the highest average, using max bucket and bucket path techniques.
Execute batch transformations to keep the most recent products per category using a latest transform with a date-based key, by creating a timestamp field and mapping.
Explore the discover interface in Kibana by creating a data view for Spring Boot logs, configuring event date, and using filters to isolate error logs and save the search.
Create a Kibana dashboard from spring boot logs by selecting a data view and time zone, visualizing log levels with a pie, a table, and a donut.
Explore Elasticsearch query DSL for textual search, learning match, multi match, match phrase, and query string techniques, including wildcard and fuzzy searches across title and content fields.
Mastering Elasticsearch: create a watcher in Kibana that alerts by email when more than five products go out of stock in the last two hours.
Master cross-cluster replication and search in Elasticsearch by configuring two clusters, creating remote connections, follower indexes, and auto follow patterns to replicate and query data across clusters.
Do you want to query one billion documents in under a second, deploy Elasticsearch in production, and earn the Elastic Certified Engineer certification — even if you're starting from scratch?
Learn directly from an Elastic Certified Engineer and Elastic Gold Contributor (2025), recognized by Elastic for his expertise and real-world contributions to the ecosystem — with 5+ years of production experience in telecommunications, e-commerce, and large-scale observability.
This hands-on course takes you from beginner to expert across 9 comprehensive modules, with practical exercises, real-world projects, and a full mock exam aligned with the official certification.
By the end, you'll not only understand Elasticsearch — you'll be ready to deploy it in production, secure it like a pro, and pass the certification exam with confidence.
What You'll Master
Full installation on Windows, Linux, Mac, Debian, and Docker — including deploying a 3-node production cluster
Dynamic and explicit mappings, index parameters, and index templates
CRUD operations, basic and advanced search, nested search
Bucket, Metrics, and Pipeline aggregations — plus batch and continuous transformations
Data visualization with Kibana: Discover, interactive dashboards, reports
Advanced text search with custom analyzers — including building a full custom search engine
Index Lifecycle Management (ILM), snapshots, Watcher alerts, cross-cluster replication
Cluster administration: monitoring, troubleshooting, performance optimization
Access management: roles, users, and production-grade security
Why This Course?
Expert Instructor: Learn from an Elastic Certified Engineer and Elastic Gold Contributor (2025) — not an instructor who reads documentation, but a practitioner who uses these tools every day in production.
The Most Comprehensive on Udemy: 9 modules covering development, administration, security, and monitoring — nothing left out.
Hands-On at Every Step: Practical exercises in every module, with real-world scenarios like managing a digital library and a store inventory system.
Certification-Focused: Aligned with the official Elastic Certified Engineer exam blueprint, with a full BONUS module dedicated to certification prep — including a complete mock exam with detailed corrections and personal insights from someone who has passed the exam.
Future-Proof: Skills that apply to modern search engines, observability platforms, analytics, and data engineering.
After This Course, You Will:
Build and deploy Elasticsearch solutions in production
Solve complex search and analytics problems at scale
Secure and optimize clusters with best practices
Be fully job-ready and certification-ready for the Elastic Certified Engineer exam
This isn't just another tutorial — it's a complete professional transformation.
Whether your goal is to level up your career, launch a new project, or earn your certification, you'll learn directly from an instructor recognized by Elastic for his expertise and community contributions.
New to the Elastic Stack? Start with my free course: Introduction to the Elastic Stack (available in English and French).
Want to master Kibana in depth? Check out Kibana Expert: Master Data Analysis and Visualization (available in English and French).