Mastering Elasticsearch: From Basics to Certification

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 Kibana on Windows by downloading 8.15.2 release, extracting it, and configuring Kibana.yml to connect to a secured Elasticsearch cluster with credentials and a certificate authority; launch and log in.

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 on linux to connect to your elasticsearch cluster, configure kibana.yml, set up ssl certificates and ports, start kibana, and access the interface with the elastic user.

Install a single-node Elasticsearch cluster on Debian using version 8.15.2 with 2 gb ram, configure non-root access, generate certificates, and start the service to ensure the cluster is green.

Install Kibana on Debian by downloading, unzipping, and configuring kibana.yml, securing with certificates and the kibana system password, then accessing the interface on port 5601 connected to Elasticsearch.

Install a single-node Elasticsearch cluster with docker compose, using version 8.15.2, and configure certificates, node and docker compose files, then verify green cluster 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.

Deploy a three-node Elasticsearch cluster on Linux, configure three nodes, certificates, and Kibana to connect to the cluster, then verify a green cluster health.

Install and configure Kibana to connect a multi-node Elasticsearch cluster, including creating the Kibana system user, managing certificates, and starting Kibana on port 5601.

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.

Discover how dynamic mapping by default interprets data in Elasticsearch, mapping booleans to boolean, numbers to long or float, objects and arrays, and strings to date, text, or keyword.

Map each field explicitly in Elasticsearch by assigning types (text, keyword, date, integer, boolean, nested, or geo), then create and visualize the mapping for rapid indexing and better resource management.

Understand how Elasticsearch mappings constrain field types and enable dynamic behavior. You can't change an existing field's type, but you can add new fields and set dynamic or strict indexing.

Learn how Elasticsearch index settings, not just a mapping, govern shards and replicas, including primary shards created at index creation and replicas that can be updated.

Index templates define mapping and settings for multiple indexes that share a pattern, automating consistent configurations for daily indices and resolving conflicts with priority.

Explore Elasticsearch ingestion pipelines to clean, enrich, and transform data before or after indexing. Learn how grok, date formatting, renaming, and conversions enable practical data normalization and indexing with pipelines.

Explore data ingestion methods to Elasticsearch, including Logstash, Beats, and Kafka, plus language APIs, mapping, and an ingest pipeline to index spring boot logs.

Master Elasticsearch CRUD basics by creating an index and adding documents with post or put, retrieving with get and underscore search, updating documents, and deleting indices.

Define a product index with mapping and zero replicas, including product_id for aggregations, text name and description, keyword category and availability, and a nested specification.

Combine boolean queries with a category filter and a description match to refine elasticsearch searches, and compare must, filter, and must not while using should and multi match across fields.

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 Elasticsearch bucket and metric aggregations group documents by availability and category using terms on keyword fields, with size, order, and price-range buckets.

Explore metric aggregations in Elasticsearch by computing avg, max, min, and sum on price, then use bucket and metric aggregations to show average and total prices by category.

Explore how pipeline aggregations extend bucket and metric aggregations to identify the category with the highest average, using max bucket and bucket path techniques.

Explore data enrichment in Elasticsearch by creating an enrich policy and ingest pipeline to join category data with product records, adding status fields.

Discover how Elasticsearch batch and continuous transforms execute aggregations like pivot and latest transforms, storing results in a destination index with metrics such as average and sum prices by category.

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.

Master the continuous transform in Elasticsearch, using pivot and latest modes to continuously aggregate data. Configure frequency and synchronization with a date field to update the destination index.

Apply Elasticsearch skills by completing a practical hands-on exercise to manage a digital library using Kibana and DevTools, following the module four instructions to run queries and obtain results.

Explore the Kibana interface to manage data, security, and analytics for your Elasticsearch cluster. Use dev tools, index management, transforms, snapshots, alerts, and dashboards to visualize, monitor, and secure data.

Import data into Kibana by uploading files and configuring mappings, creating a data view, and adjusting replicas to keep the index green; use a Spring Boot logs file to practice.

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.

Learn how to generate and export reports in Kibana, including enabling impact reporting, exporting dashboards as pdfs, and understanding licensing requirements for download.

Explore how Elasticsearch analyzes text fields with the default standard analyzer, using char filters, tokenizers, and token filters to index and search by lowercasing.

Learn how Elasticsearch analyzers work, comparing the standard and whitespace analyzers, and configure custom analyzers in settings and mappings to handle accents and synonyms for accurate search.

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.

Learn how Elasticsearch index lifecycle management automates data retention through hot, warm, cold, frozen, and delete phases, including policy creation in Kibana and applying to index templates.

Mastering Elasticsearch snapshot and restore explains backing up and recovering data. Register a repository, create a daily snapshot policy for spring boot logs, and test restores on a new cluster.

Explore alerting prerequisites in Elasticsearch, including configuring alerting, authorizing watchers, and creating a keystore. Set up email and Slack notifications, and review license options including trials.

Configure alerts in Kibana by creating email and Slack connectors, test delivery, and define alert rules or watchers to monitor thresholds, performance, and service health.

Explore rule based alerts in Kibana using Elasticsearch query type to monitor electronic products out of stock and notify via email.

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.

Engage in a hands-on, guided exercise in Elasticsearch to manage a store inventory, following step-by-step instructions and answering questions using module resources.

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.

Learn how to reindex data with Elasticsearch: copy an index to a new one, apply mapping changes or ingest pipelines, filter reindexing with queries, and perform remote reindexing across clusters.

Visualize and monitor your Elasticsearch cluster with Kibana, viewing health status, nodes, disk usage, JVM memory, search and indexing speed, latency, and logs.

Troubleshoot an Elasticsearch cluster by checking cluster health with get cluster health, reviewing cluster stats, and using the get caps API to inspect charts, nodes, and unassigned primary/replica charts.

Improve Elasticsearch performance with bulk indexing, zero replicas, and adjusted refresh intervals. Speed searches using filters, from/size, and search after, while reducing aggregations and avoiding expensive queries.

Define roles and privileges in Elasticsearch, assign built-in or custom roles to users, configure document-level security and field-level security, and control read/write access to index groups.

Create a read-only role in Elasticsearch, assign it to a new user, and mask the price field on the products index. Verify access in Kibana.

Learn how to size Elasticsearch clusters using practical dimensioning examples. Calculate total data, memory, and node counts for hot and warm tiers with replicas and compression.

Explore production challenges in Elasticsearch, including CPU and memory overload, node detachment and availability issues, mapping-driven indexation problems, and disk watermark thresholds, with practical troubleshooting guidance.

Learn the Elastic Certified Engineer Certification process, costs, English exam format, remote proctoring, and use of documentation. Master data management, indexing, search, aggregations, and cluster management in Elasticsearch 8.1.

Take a timed blank exam in English for two hours, solve ten questions using Kibana DevTools and Elasticsearch docs, then review the provided corrections to deepen understanding.

Celebrate mastering Elasticsearch and prepare for production deployment with mappings, advanced queries, alerts, index lifecycle management, and cluster security, while pursuing the Elastic certification.