Datadog Training

Live Online & Classroom Enterprise Training

Datadog is a cloud-based monitoring and analytics platform for applications, infrastructure, and logs. It helps teams track performance, detect issues, and ensure system reliability in real time.

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What is Datadog Training about?

This course provides a comprehensive introduction to Datadog, a leading cloud-based monitoring and analytics platform for applications, infrastructure, and logs. Learners will gain practical skills in setting up monitoring dashboards, creating alerts, integrating Datadog with cloud services, and analyzing system performance. By the end of the course, participants will be able to use Datadog to ensure application reliability, optimize performance, and improve operational efficiency across distributed environments.

What are the objectives of Datadog Training ?

Understand the fundamentals of Datadog and its architecture.
Configure Datadog agents for application and infrastructure monitoring.
Create dashboards and alerts to track key metrics and events.
Integrate Datadog with cloud platforms and third-party services.
Apply Datadog for log management, APM (Application Performance Monitoring), and security monitoring.

Who is Datadog Training for?

DevOps engineers and site reliability engineers (SREs).
Cloud administrators managing distributed applications.
IT operations teams seeking unified monitoring solutions.
Application developers interested in performance insights.
Security analysts working with log and monitoring data.

What are the prerequisites for Datadog Training?

Prerequisites:

Basic knowledge of cloud platforms (AWS, Azure, or GCP).
Familiarity with Linux/Windows system administration.
Understanding of application performance metrics.
Experience with CI/CD or DevOps workflows (preferred).
Basic networking and security concepts.

Learning Path:

Introduction to observability and Datadog platform.
Setting up Datadog agents and monitoring environments.
Working with dashboards, alerts, and metrics.
Integrating Datadog with cloud services and DevOps tools.
Advanced use cases: APM, log management, and security monitoring.

Related Courses:

Cloud Monitoring with AWS CloudWatch
Kubernetes Administration and Monitoring
DevOps Fundamentals
Application Performance Monitoring with New Relic

Available Training Modes

Live Online Training

5 Days

Course Outline Expand All

Expand All

Module 1- Datadog: Registration, Pricing, and Agent installation

What is Datadog and why do we need it?

Pricing Information - free and paid options

Basic Definitions - host, agent and tags

Registration and Agent installation

Module 2- Datadog Agent: Definitions, Configuration and Integrations

Definitions and configurations

Display host basic metrics and default host dashboards

Integration with Internet Information Server (IIS)

Module 3- Datadog Infrastructure: Host maps and Infrastructure List

Module 4- Datadog Metrics: Explorer, Summary and Metric Types

Metrics Explorer

Metrics Summary and Metrics Types

Module 5- Datadog APM: Download, Installation, Services, Traces and Error Tracking

APM will monitor our DogsWorld application based on .NET Core

APM - download, installation and basic configuration (Windows)

APM Services and Service Map

APM Traces - Transactions, Basic search, Search pane and Facets

APM Traces - Flame graph, Span list and System Tags

APM Traces - Error Tracing

APM – Profiling

Module 6- Datadog APM: Custom Tags, Exception Handling and Facets

Custom Tags and Sending custom tags using .NET Tracer Nuget Package

Custom Tags, Search, Filter and Facet usage

Module 7- Datadog Dashboards: Create (with Graphs), Import, Export and Variable Usages

Dashboard List and Definitions

Create a New Dashboard with many Widgets

Import widgets/graphs into Dashboard from Services and Metrics Page

Import and Export as JSON

Variables usage

Module 8- Datadog Monitors (Alerts) and Notifications by Email, Slack and Pager Duty

Create Monitors

Suggested Monitors

Management

Integration with Slack

Account Creation

Integration with Pager Duty

Module 9- Datadog: SLA, SLO, SLI and Error Budget (DevOps)

SLA, SLO, SLI and Error Budget (DevOps)

SLO Creation, Date Correlation and Setup Alerts

Module 10- Synthetic Monitoring: API Tests and Browser Tests

What is a Synthetic Monitoring

Create API Tests

Create Browser Tests

Module 11- Log Management: Basics, Log Entries, Log Exceptions, NLog usage

What is a Log Management System

How to Log Data using NLog

Log Explorer and Log Exceptions

Module 12- Notebook: Creation, Issue Investigation, Documentation and Templates Usage

What is a Notebook in Datadog?

How to create Documentation Type of Notebook

How to Investigate an Exception using Notebook and collaborate with other users

Notebook Templates

Module 13- NodeJS with MongoDB application monitoring in Datadog

Setup NodeJS application with MongoDB locally from GitHub

Configure NodeJS Custom Metrics

Configure NodeJS Services and Traces

NodeJS and MongoDB Service Catalog

NodeJS Traces

Module 14- Datadog – Account

Account Summary

Account Collaboration

CoScreen

Module 15 - Latest Updates and Features from Datadog

APM, Service, Management, Services, Profiling, Errors

Quick Graph, Infrastructure, Errors, Account, Testing

Who is the instructor for this training?

The trainer for this Datadog Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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