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ELK Stack Developer Training

From data ingestion with Logstash to stunning Kibana dashboards

Enterprise Search

Enterprise Search

Elastic's Enterprise Search solution is a robust, customizable platform that allows your team to search through vast amounts of enterprise data efficiently.

With features like full-text search, filtering, and sorting, it delivers highly relevant results across multiple data sources. Enterprise Search enables you to search everything from files and documents to customer interactions and backend systems.

Improve user productivity and business outcomes by integrating tailored search experiences across your entire organization.

Observability

Elastic Observability gives you end-to-end visibility into your entire infrastructure and applications.

With built-in integrations, Elastic allows you to collect logs, metrics, and traces from your systems to provide deep insights into their health and performance.

This real-time observability helps you proactively identify issues, troubleshoot faster, and optimize system performance to ensure uptime—even as your systems scale.

Observability Architecture
Security

Security

With Elastic Security, you can safeguard your data and applications using advanced detection and prevention tools.

The platform leverages machine learning, threat intelligence, and real-time analytics to detect, investigate, and respond to security threats faster.

Elastic Security provides an integrated approach to endpoint security, threat hunting, and incident response—helping you reduce risk and stay ahead of emerging threats.

Course Highlights

This intensive program teaches you to design, deploy, and manage Elasticsearch clusters, build pipelines with Logstash & Beats, and craft real-time visualizations in Kibana.

Curriculum

Elasticsearch Fundamentals & Query DSL focus on storing, searching, and analyzing large volumes of data efficiently. Elasticsearch indexes data to enable fast full-text search and real-time analytics. Query DSL is a powerful JSON-based language used to perform complex searches, filters, and aggregations. It allows precise querying, boosting relevance, and extracting meaningful insights from data.

Index Design, Sharding & Replication are key to Elasticsearch performance and reliability. Good index design defines mappings and data types for efficient storage and search. Sharding splits an index into smaller parts to distribute data and load across nodes. Replication creates copies of shards to improve fault tolerance, high availability, and read performance.

Logstash & Beats Data Shipping handle data collection and ingestion in the Elastic Stack. Beats are lightweight agents that collect logs, metrics, and events from servers and applications. Logstash processes, filters, and transforms this data before sending it to Elasticsearch. Together, they enable reliable, scalable, and real-time data pipelines for analysis and monitoring.

Kibana Visualisations & Canvas provide powerful ways to explore and present Elasticsearch data. Visualisations like charts, tables, and maps help analyze logs and metrics interactively. Canvas allows creating custom, pixel-perfect dashboards and reports using live data. Together, they make insights easy to understand and share with stakeholders.

Monitoring & Alerting with X-Pack provides built-in tools to monitor the health and performance of the Elastic Stack. It tracks metrics for clusters, nodes, indices, and applications in real time. Alerting allows you to define rules and thresholds to notify teams of issues proactively. This helps ensure system stability, faster incident response, and reliable operations.

Scaling & High Availability ensure applications remain performant and accessible as demand grows. Scaling can be done vertically by increasing resources or horizontally by adding more instances or nodes. High availability uses redundancy, load balancing, and failover mechanisms to prevent downtime. Together, they provide reliability, resilience, and consistent user experience.

Hands-On Project

Build an end-to-end observability solution by collecting application logs & metrics, indexing them into Elasticsearch, and creating executive dashboards.