Dynatrace and ELK from Basic to Advance

Duration: Hours

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    Training Mode: Online

    Description

    Introduction to Dynatrace & ELK

    Welcome to Dynatrace & ELK from Basic to Advance! Dynatrace is a leading application performance management (APM) tool that provides comprehensive monitoring of applications, infrastructure, and user experience using AI-powered insights. ELK Stack (Elasticsearch, Logstash, Kibana) is a suite for managing and analyzing log data, enabling real-time insights through search, data collection, and visualization. Together, they offer powerful capabilities for proactive performance management and troubleshooting.

    Prerequisites to Dynatrace & ELK

    1. Basic knowledge of monitoring concepts.
    2. Familiarity with cloud and on-premises environments.
    3. Understanding of log management principles.
    4. General IT and networking knowledge.
    5. Optional: Scripting or programming experience.
    6. Access to Dynatrace and ELK Stack environments for practice.

    TABLE OF CONTENT

    Course 1: Dynatrace

    1. Introduction to APM
      1.1 What is APM?
      1.2 Importance of APM in modern applications
    2. Overview of Dynatrace
      2.1 History and evolution
      2.2 Key features and capabilities
    3. Installation and Setup
      3.1 System requirements
      3.2 Installing Dynatrace components(Ref: Dynatrace – Performance Monitoring)
      3.3 Configuring agents
    4. Dynatrace User Interface
      4.1 Dashboard overview
      4.2 Navigating through the UI
      4.3 Customizing dashboards
    5. Monitoring Applications
      5.1 Automatic application discovery
      5.2 Analyzing application performance
      5.3 Troubleshooting common issues
    6. Alerts and Notifications
      6.1 Setting up alerts
      6.2 Notification configurations
      6.3 Best practices for alerting

    Course 2: ELK

    1. Introduction to ELK Stack
      1.1 What is ELK?
      1.2 Overview of Elasticsearch, Logstash, and Kibana
    2. Installing ELK Stack
      2.1 System requirements
      2.2 Installing and configuring Elasticsearch
      2.3 Installing and configuring Logstash
      2.4 Installing and configuring Kibana
    3. Elasticsearch Basics
      3.1 Indexing and searching
      3.2 Data types and mappings
      3.3 Aggregations and filtering
    4. Logstash Essentials
      4.1 Logstash pipeline
      4.2 Input, filter, and output plugins
      4.3 Parsing and enriching log data
    5. Kibana Visualization and Dashboards
      5.1 Creating visualizations
      5.2 Building dashboards
      5.3 Advanced Kibana features
    6. Log Analysis and Troubleshooting
      6.1 Searching and analyzing logs
      6.2 Identifying patterns and anomalies
      6.3 Troubleshooting common issues

     

    Reference for Dynatrace

    Reference for ELK

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