Course Outline

Introduction

Overview of Datadog Architecture and Features

Setting Up and Configuring Datadog

Understanding Datadog Agent Manager

Infrastructure Monitoring

Working with Tags

Metrics and Metrics Views

Customizing Metrics

Creating Events

Creating Notebooks

Managing Dashboards

Creating and Managing Host Monitors

Managing Log Collections

Processing Logs

Datadog Integration

Setting Up Application Performance Monitoring (APM)

APM Trace Pipeline

Profiling

UI Monitoring

Account Management

Troubleshooting

Summary and Next Steps

Requirements

  • Basic knowledge of computer science

Audience

  • Developers
  • Monitoring engineers
  7 Hours
 

Testimonials

Related Courses

Automated Monitoring with Zabbix

  14 hours

Data Analytics With R

  21 hours

Excel For Statistical Data Analysis

  14 hours

Data Analysis with Hive/HiveQL

  7 hours

NLP: Natural Language Processing with R

  21 hours

Data Analysis with Python, Pandas, and Numpy

  14 hours

Fluentd for Log Data Unification

  14 hours

Knowledge Discovery in Databases (KDD)

  21 hours

Monitoring Your Resources with Munin

  7 hours

Nagios

  35 hours

Nagios Core

  21 hours

Nagios XI Administration

  21 hours

Netdata

  7 hours

Zenoss Monitoring for Administrators

  21 hours

Sensu: Beginner to Advanced

  14 hours