About the course
Master the ELK Stack and gain essential skills for monitoring modern infrastructure and applications. This comprehensive training provides you with hands-on experience in leveraging Elasticsearch, Logstash, and Kibana to achieve deep observability into your platforms, clusters, and distributed environments.
Learn how to seamlessly integrate ELK with crucial technologies like AWS, Kubernetes, and Docker to collect, process, and visualize vital operational data.
Our expert instructor will guide you through the creation of powerful monitoring and reporting solutions, allowing you to proactively identify issues, understand system behavior, and optimize performance across your entire infrastructure.
Online and in-house face-to-face options are available - as part of a wider customised training programme, or as a standalone workshop, on-site at your offices or at one of many flexible meeting spaces in the UK and around the World.
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- Deploy and Manage Your ELK Stack: Set up, run, and configure Elasticsearch, Logstash, and Kibana for centralized monitoring.
- Transform Raw Logs into Actionable Data: Master log parsing techniques using Logstash to extract meaningful information from various log formats.
- Centralise Monitoring Data: Configure and implement methods for efficiently shipping logs and metrics from distributed systems into Elasticsearch.
- Uncover Insights with Powerful Searches and Queries: Develop advanced search and query skills in Elasticsearch to identify trends, anomalies, and specific events.
- Visualise Data for Clear Understanding: Create interactive and insightful dashboards in Kibana to monitor system health, performance, and key metrics.
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This hands-on ELK Stack training course is ideal for individuals and teams responsible for maintaining the health and performance of their digital infrastructure and applications. It will be particularly beneficial for:
DevOps Engineers: Seeking to implement and manage effective monitoring and observability solutions using the ELK Stack.
System Administrators: Tasked with ensuring the stability and performance of platforms, clusters, and distributed systems.
Site Reliability Engineers (SREs): Aiming to proactively identify and resolve issues to maintain system reliability and availability.
Software Developers: Who need to understand application behaviour in production and troubleshoot issues using centralised logging and metrics.
Security Analysts: Looking to leverage the ELK Stack for security information and event management (SIEM) and threat detection.
Data Analysts: Interested in visualising and analysing operational data to gain insights into system performance and user behaviour.
Anyone responsible for monitoring IT infrastructure: Including technical leads and IT managers who need a comprehensive understanding of observability.
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This ELK Stack training course is designed to be accessible to individuals with a range of technical backgrounds. However, to get the most out of the course, it is recommended that participants have:
Familiarity with a Command-Line Interface: Comfort with using a command line for basic tasks.
Basic Understanding of Server Infrastructure: A general idea of how servers and applications are typically deployed and run.
Some Exposure to Log Files (Beneficial): While not essential, familiarity with the concept of log files will be helpful.
No prior experience with the ELK Stack components is necessary. We will cover the fundamentals of Elasticsearch, Logstash, and Kibana from the ground up and can explain concepts along the way - don't be afraid to ask questions.
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This ELK Stack course is available for private / custom delivery for your team - as an in-house face-to-face workshop at your location of choice, or as online instructor-led training via MS Teams (or your own preferred platform).
Get in touch to find out how we can deliver tailored training which focuses on your project requirements and learning goals.
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Introduction To ELK stack
Elasticsearch
Kibana
Logstash
Beats
Applications in Infrastructure Monitoring
Application monitoring
Application development
Performance monitoring
Hardware monitoring
SIEM (Security Information and Event Management)
Architecture
Hosted vs Self install
Logstash vs Ingest pipelines
Logshippers
Scaling
Setting Up
Development environment
Production environment
Adding Value To Data
Parsing
Key Value Processors
Logstash Grok
Enriching
Filebased Lookups
GeoIP Lookups
Database Lookups
Elasticsearch Fundamentals
Mapping and datatypes
Elasticsearch queries
Aggregations
Using Kibana to Visualise...Everything
Tables, charts, graphs, drill down, filters.
Creating dynamic interactive dashboards
Alarms
Elasticsearch Watcher
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https://www.elastic.co/platform - the home of Elastic
https://www.elastic.co/logstash - Logstash resources
https://www.elastic.co/kibana - Kibana resources
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