Have any questions? GET AN APPOINTMENT

Logstash Training



ABOUT


The Logstash Training at DevOpsConsulting.in is designed to provide participants with a thorough understanding of Logstash, an open-source data processing pipeline that ingests, transforms, and forwards data. This training focuses on equipping users with the skills to efficiently collect, process, and manage data from various sources, integrating seamlessly with other components of the Elastic Stack, such as Elasticsearch and Kibana. Participants will learn how to set up and configure Logstash, create and manage pipelines, and use its powerful plugins to handle diverse data formats and sources. The course includes hands-on exercises and practical scenarios to ensure learners can apply their knowledge to real-world data processing tasks.



Led by expert instructors with extensive experience in data engineering and processing, the training provides valuable insights into best practices and advanced features of Logstash. The course covers key topics such as data ingestion, filtering, and transformation, as well as integrating Logstash with other tools for comprehensive data management solutions. Whether for new users or those seeking to enhance their expertise, this training aims to maximize the effectiveness of Logstash in managing and processing data efficiently.


COURSE OBJECTIVES


The course objectives for the Logstash training at DevOpsConsulting.in are designed to ensure that participants acquire the necessary skills and knowledge to effectively use Logstash for data processing and management. The main objectives of the course are:


  • Understand Logstash Fundamentals: Gain a thorough understanding of Logstash’s architecture, components, and its role in the Elastic Stack. Participants will learn about the core concepts of data ingestion, filtering, and output.
  • Install and Configure Logstash: Learn the installation process and configuration settings for Logstash, including how to set up the environment and configure pipelines to meet specific data processing needs.
  • Develop and Manage Pipelines: Acquire skills in creating and managing Logstash pipelines, including defining input sources, applying filters for data transformation, and specifying output destinations.
  • Integrate with Data Sources: Understand how to ingest data from various sources such as databases, message queues, and log files, and how to handle different data formats and protocols.
  • Optimize Performance: Learn best practices for optimizing Logstash performance, including efficient pipeline configuration, resource management, and scaling strategies.
  • Troubleshoot and Resolve Issues: Develop the ability to identify and troubleshoot common issues related to Logstash, including configuration errors, performance bottlenecks, and data processing problems.
  • Implement Advanced Features: Explore advanced features of Logstash, such as custom plugins, grok patterns for parsing logs, and integration with other Elastic Stack components.
  • Apply Real-World Scenarios: Engage in hands-on exercises and real-world scenarios to apply learning, including setting up and managing Logstash pipelines, and integrating Logstash into a complete data processing workflow.
  • Understand Best Practices: Learn best practices for maintaining and scaling Logstash deployments, ensuring reliable and efficient data processing within diverse environments.

PRE-REQUISITES


The pre-requisites for the Logstash training at DevOpsConsulting.in are designed to ensure that participants have a foundational understanding necessary to effectively engage with the course content. The key pre-requisites include:


  • Basic Understanding of Data Processing: Participants should have a fundamental understanding of data processing concepts, including data ingestion, transformation, and output.
  • Familiarity with Command Line Interfaces: Comfort with using the terminal or command line is recommended, as many Logstash operations involve command-line interactions.
  • Knowledge of Basic Networking Concepts: A basic grasp of networking concepts, such as IP addresses, ports, and protocols, will be helpful for configuring Logstash to interact with various data sources and destinations.
  • Experience with Log Files: Familiarity with log files and log formats is beneficial, as the training covers processing and managing log data.
  • Basic Understanding of the Elastic Stack: While no prior knowledge of the Elastic Stack is required, a general understanding of its components (Elasticsearch, Logstash, Kibana) will help participants grasp how Logstash fits into the broader ecosystem.
  • Technical Aptitude: Participants should have a general technical aptitude and problem-solving skills, as the training involves configuring and troubleshooting Logstash pipelines.

FEATURES


The Features of the Logstash Training at DevOpsConsulting.in are designed to provide participants with a comprehensive and practical learning experience in data processing and management using Logstash. Key features include:


  • In-Depth Exploration of Logstash Capabilities: The training covers Logstash’s core features, including data ingestion, filtering, and transformation, providing participants with a thorough understanding of its functionality.
  • Hands-On Practical Exercises: Participants engage in hands-on exercises and real-world scenarios to gain practical experience with Logstash, reinforcing their learning through direct application.
  • Expert Instruction: Courses are led by experienced instructors with deep expertise in data processing and the Elastic Stack, offering valuable insights and best practices.
  • Pipeline Configuration and Management: Learn how to set up, configure, and manage Logstash pipelines to efficiently process and route data from various sources.
  • Plugin Utilization: Discover how to use Logstash’s extensive library of plugins to handle diverse data formats and sources, enabling flexible and powerful data processing.
  • Integration with Elastic Stack: Understand how to integrate Logstash with other components of the Elastic Stack, such as Elasticsearch and Kibana, for a comprehensive data management solution.
  • Data Transformation Techniques: Gain skills in applying filters and transformations to refine and prepare data for analysis and visualization.
  • Performance Optimization: Learn best practices for optimizing Logstash performance to handle large volumes of data efficiently and effectively.
  • Flexible Learning Formats: The training is available in both online and in-person formats, providing flexibility to accommodate different learning preferences and schedules.

AGENDA


Course Curriculum


Introduction

  • Elastic Stack Overview
  • Logs and Problems

Logstash

  • Introduction to Logstash or Why Should I Bother?
  • Getting started with Logstash
  • Shipping events
  • Shipping events without the Logstash agent
  • Filtering events
  • Structured Application logging.
  • Outputting events
  • Scaling Logstash
  • Extending Logstash
  • Lab

Elasticsearch

  • What and Why
  • Terminology: Documents, Index, Shards, Node, Cluster
  • Working with Data
  • Time-based Data
  • Lab

Kibana

  • What and Why
  • Settings
  • Time Picker, Search, and Filters
  • Kibana Discover, Visualization, and Dashboard Interfaces
  • Lab

Operation Checklist

  • Build and configure your first data pipeline with ELK
  • Collect, Parse, and Transform Data with Logstash
  • Handling Back Pressure
  • Deployment Architectures
  • Hardware Best Practices
  • Security
  • Debugging and Monitoring