ELK: Elasticsearch, Logstash and Kibana Training in San Francisco

ELK: Elasticsearch, Logstash and Kibana Training in San Francisco, USA

Participants gain hands-on experience in setting up and configuring the ELK Stack to collect, process, and visualize data from diverse sources.

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ELK: Elasticsearch, Logstash and Kibana Training is a professional training program delivered by ProgNXT in San Francisco, USA. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this ELK: Elasticsearch, Logstash and Kibana Training course with hands-on, instructor-led sessions. ELK Stack training provides learners with in-depth knowledge of Elasticsearch, Logstash, and Kibana for managing and analyzing log data. Participants...

Course Code: PRQ38
21 Hrs
Last Updated: April 2026

Course Rating5/5

ELK Stack training provides learners with in-depth knowledge of Elasticsearch, Logstash, and Kibana for managing and analyzing log data. Participants gain hands-on experience in setting up and configuring the ELK Stack to collect, process, and visualize data from diverse sources. The training covers advanced topics such as query optimization, index management, and dashboard creation for real-time insights. It also emphasizes best practices for scaling, securing, and maintaining the ELK Stack in production environments. This course is ideal for system administrators, DevOps engineers, and data analysts aiming to enhance their log management and data analysis capabilities.

Welcome to the official ELK: Elasticsearch, Logstash and Kibana Training certification program in San Francisco, USA. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic understanding of databases and data processing concepts.
Familiarity with Linux/Unix systems and command-line usage.
Basic knowledge of JSON and data formats.

Upon completing this training, participants will:

Gain a comprehensive understanding of the ELK stack components: Elasticsearch, Logstash, and Kibana.
Learn how to install, configure, and manage ELK stack for log and event data collection, storage, and visualization.
Understand how to ingest, transform, and query data using ELK.
Learn how to create dashboards and visualizations in Kibana to monitor and analyze data.
Acquire hands-on experience in managing and optimizing Elasticsearch clusters for high performance.

ELK Stack Components: Understanding the role and functionality of Elasticsearch, Logstash, and Kibana in log and event data management.
Data Ingestion and Transformation: Skills to collect, parse, and transform data using Logstash for storage in Elasticsearch.
Elasticsearch Querying: Proficiency in querying and indexing data in Elasticsearch.
Kibana Dashboards: Ability to create, customize, and manage interactive dashboards for data analysis in Kibana.
ELK Stack Management: Knowledge of managing and optimizing Elasticsearch clusters, and integrating them with other systems.

Participants will be assessed on:

ELK Stack Setup: Ability to install and configure Elasticsearch, Logstash, and Kibana on a system.
Data Ingestion: Proficiency in using Logstash to ingest and process different types of data.
Elasticsearch Queries: Understanding of Elasticsearch query language and ability to perform data searches.
Kibana Dashboards: Skill to create, manage, and visualize data using Kibana.
Performance Optimization: Knowledge of techniques for scaling and optimizing Elasticsearch for performance.

Certificate of Completion: Participants who attend all sessions and successfully complete the assessments will receive a ProgNXT Certificate of Completion for ELK Stack Training.

Introduction to ELK Stack and Elasticsearch

Overview of ELK Stack

Introduction to the ELK stack: Elasticsearch, Logstash, and Kibana.
Understanding the role of each component in data processing and analysis.
Benefits of using ELK for log management and data visualization.

Installing and Configuring ELK Stack

Step-by-step guide to installing Elasticsearch, Logstash, and Kibana on Linux/Unix systems.
Configuration settings and troubleshooting installation issues.
Hands-on exercise

Introduction to Elasticsearch

Understanding Elasticsearch architecture: Nodes, clusters, and shards.
Elasticsearch data storage and indexing concepts.
Hands-on exercise

Elasticsearch Querying

Introduction to Elasticsearch query language (DSL).
Basic queries: Match, term, range, and aggregation queries.
Hands-on exercise

Data Ingestion with Logstash and Advanced Elasticsearch

Introduction to Logstash

Overview of Logstash architecture: Inputs, filters, and outputs.
Collecting and processing data using Logstash.
Hands-on exercise

Working with Data Formats

Understanding different data formats: JSON, CSV, and syslog.
Parsing and transforming data using Logstash filters.
Hands-on exercise

Advanced Elasticsearch Features

Full-text search capabilities and using analyzers.
Aggregations and their use cases.
Hands-on exercise

Optimizing Elasticsearch

Techniques for optimizing Elasticsearch performance: Sharding, replication, and indexing strategies.
Scaling Elasticsearch clusters for high availability and load balancing.
Hands-on exercise

Data Visualization with Kibana and ELK Stack Management

Introduction to Kibana

Overview of Kibana and its role in data visualization and analytics.
Configuring Kibana to connect to Elasticsearch.
Hands-on exercise

Creating Dashboards in Kibana

Building and customizing dashboards for visualizing data.
Understanding Kibana visualizations: Graphs, maps, pie charts, and tables.
Hands-on exercise

Log and Event Data Monitoring

Setting up alerting and monitoring systems in Kibana.
Using Kibana to detect patterns and anomalies in log data.
Hands-on exercise

Managing and Maintaining the ELK Stack

Managing Elasticsearch indices and clusters.
Backup and restore procedures for Elasticsearch data.
Hands-on exercise

Detailed slides and lecture notes on Elasticsearch, Logstash, and Kibana.
Sample configuration files and queries for Elasticsearch and Logstash.
Access to online resources and documentation for ELK stack.

Participants will complete practical exercises and a final assessment based on ELK stack usage.
Successful completion of the training and assessments will lead to the award of the ProgNXT Certificate of Completion.

This training on the ELK Stack will empower participants to use Elasticsearch, Logstash, and Kibana to collect, store, query, and visualize log and event data, making it an essential skill for managing and analyzing large datasets in real-time.

ELK: Elasticsearch, Logstash and Kibana Training Events in san-francisco

Online Events

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More Upcoming Session Dates

October 2026

📍 San Francisco, USA

19th Oct 2026→21st Oct 2026

🌐 Online Instructor-Led

22nd Oct 2026→24th Oct 2026

November 2026

🌐 Online Instructor-Led

5th Nov 2026→7th Nov 2026

📍 San Francisco, USA

6th Nov 2026→8th Nov 2026

📍 San Francisco, USA

20th Nov 2026→22nd Nov 2026

🌐 Online Instructor-Led

23rd Nov 2026→25th Nov 2026

December 2026

🌐 Online Instructor-Led

2nd Dec 2026→4th Dec 2026

📍 San Francisco, USA

3rd Dec 2026→5th Dec 2026

📍 San Francisco, USA

21st Dec 2026→23rd Dec 2026

🌐 Online Instructor-Led

28th Dec 2026→30th Dec 2026

Events for other courses in San Francisco, USA

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ELK: Elasticsearch, Logstash and Kibana Training in San Francisco