Name: Datadog Monitoring - A Full Basic to ADVANCE Datadog guide
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Created byCstech Training

Last updated 5/2025

English

What you'll learn

Learn In & Out of Datadog monitoring tool with proper HANDS-ON examples from Basic to Advance level.
Datadog Agent setup & configuration in Windows Host and Docker containers.
Datadog core concepts like Datadog Architecture, Pricing, Datadog Agent manager, Understanding installation root directory etc.
Infrastructure Monitoring for Hosts, Processes, Containers, Events, Serverless function (AWS lambda).
Understand the Tagging concept in Datadog and its benefits. Implement Tagging in Container and Non-container environments.
Create Custom Metrics using Custom Agent check and a Python application (DogStatsD).
Tailored Datadog Dashboards to get overview of Host's health using Timeseries, Query Value, Table, Group, Summaries, Stream widgets and Template variables.
Build Datadog Notebooks using Timeseries, Text, Table cells.
Configure Datadog Monitors & Alerts using Tag, Template, Conditional variables and Notification, Re-notification messages.
EXCLUSIVE - Datadog Log Management including Log collection, LOG PIPELINE, Log Explorers & Views in Datadog.
Application Performance Monitoring (APM) and Continuous Profiling for a Python Flask web application.
EXCLUSIVE - Instrument Flask application for Traces, TRACE PIPELINE for Ingestion Control (Sampling), Datadog APM Views & Explorers.
Datadog Account Management for Administrators - Grant Roles & Permissions, API keys, SAML Group mappings, Audit Trail, Sensitive Data Scanner.

Course content

25 sections • 135 lectures • 11h 19m total length

Introduction to Monitoring in SDLC5:03
An introduction to monitoring in general.
What is Datadog monitoring tool3:45
A basic acquaintance with the Datadog monitoring tool.
Key functionalities of monitoring tools2:38
Announcement1:03
Monitoring Terminologies5:21
This lecture explains some of the basic terminologies used in monitoring domain.
Architecture of Datadog5:01
This video explains the full architecture of Datadog monitoring tool.

Datadog Agent Manager3:35
In this video, I have explained the GUI part of datadog agent named as datadog agent manager that runs on localhost.
Datadog Agent's Directory Tour6:06
A short tour to the directory where datadog agent is installed (including datadog.yaml file)
Datadog Agent Manager continued5:04
A continuous lecture from the previous lesson. The remaining datadog agent manager GUI explained.
Quiz 1

Introduction to Tagging3:04
Introduction to tagging concept in datadog and some of the requirements for it.
Unified Service Tagging (Reserved Tags) in Datadog3:46
Datadog has some reserved tag keys namely host, version, env etc and it is recommended to use these keys in tagging.
Filtering, Grouping on Tags5:24
How to filter and group the data based on tags in host map view of datadog monitoring tool .
Assigning Tags from datadog.yaml file3:51
This video contains explanation on How to assign tags from the datadog.yaml file
Announcement1
Host Map Options3:46
Host map options of fill, size, save view etc are explained in this lesson.
Quiz 2

Process Explorer - Part 15:00
Processes are integral part of host. This video explains the dedicated process explorer in datadog monitoring tool.
Process Explorer - Part 26:06
Processes are integral part of host. This video explains the dedicated process explorer in datadog monitoring tool.
Scrubbing Sensitive data4:37
Processes can include sensitive data in the arguments which shall not be visible in the process explorer therefore by configuring the datadog.yaml file, sensitive arguments can be scrubbed.
Create Custom Process metrics4:58
Important processes can be retained in datadog for 15 months by creating process metrics. This lesson explains how to create process metrics in datadog monitoring tool.

Introduction3:33
Introduction to containers and docker installation on different OS
Docker Setup4:47
How to setup Docker desktop on windows.
Containerized Docker Agent Setup6:46
How to run the containerized docker agent of datadog monitoring tool on docker desktop.
Container Map and Live Containers4:19
This lesson contains discussions about container map and live container view in datadog.
Realistic approach to run Docker agent3:01
How docker agent is launched at scale in real projects.
Environment Variables Translation rules2:49
How to translate the properties/fields of datadog.yaml file to their corresponding environment variables.
Run Docker Agent from Docker Compose file4:27
How to run docker agent from a docker compose file
Quiz 3

What are Metrics ?4:02
What are metrics in monitoring
Why Datadog Agent aggregates metrics3:28
Datadog agent aggregates metrics before sending to datadog servers. Reason is discussed in the video.
Count, Rate, Gauge, Set Metric types3:07
This lesson discusses Count, Rate, Gauge, Set Metric types in Datadog monitoring tool
Histogram Metric type2:36
This lesson discusses Histogram Metric types in Datadog monitoring tool
Distribution Metric type3:50
This lesson discusses Distribution Metric types in Datadog monitoring tool
Datadog's Summary View for Metrics9:23
How to visualize datadog metrics in Summary view.
Metric Explorer8:39
Metric explorer view of datadog is to visualize graphs using custom queries on a metric.

Custom Metrics Fundamentals2:58
Introductory lecture of the section explaining fundamentals, properties and naming convention of custom metrics in datadog.
Custom Metrics submission types4:30
Submission types of a datadog's custom metric
Create Custom Check for COUNT metric type8:11
Write the Python code to create a custom Agent Check for COUNT metric in datadog
Custom Agent check running3:16
Run the custom agent check created for count metric type and confirm its working behavior from datadog metric explorer graphs.
Metric Without Limits7:23
Ingestion and index process of custom metrics is decoupled in datadog using Metric without limits concept. The concept is discussed in this lesson.
Create Custom Check for GAUGE metric type6:25
Write the Python code to create a custom Agent Check for GAUGE metric type in datadog
Create Custom Check for RATE metric type4:28
Write the Python code to create a custom Agent Check for RATE metric type in datadog
Create Custom Check for HISTOGRAM metric type3:17
Write the Python code to create a custom Agent Check for HISTOGRAM metric type in datadog

Python application code to instrument4:42
This lesson explains the Python application inside which custom metrics are to be generated.
increment() & decrement() functions for COUNT metric type4:20
What all functions are supported by DogstatsD to submit count type custom metrics to datadog.
Instrument Python app for COUNT metric type5:12
How to instrument python application to create custom metric of Count type in datadog
Instrument Python app for GAUGE metric type5:15
How to instrument python application to create custom metric of Gauge type in datadog
Instrument Python app for HISTOGRAM & DISTRIBUTION2:58
How to instrument python application to create custom metric of Histogram and Distribution type in datadog
Quiz 4

Requirements

Basic Computer science knowledge.

Description

"Datadog is an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform."

What's included in the course ?

Complete Datadog monitoring tool's features explained from Scratch to In-depth Advance level.
Covers a wide scope of almost all the Datadog features listed in Datadog's official documentation.
Datadog Agent setup & configuration, Metrics, Events, Infrastructure Monitoring, Log Management, Application Performance Monitoring, Continuous Profiling, UI Monitoring, Dashboards, Notebooks, Monitors and many more.
Each Datadog monitoring feature and the associated concepts are demonstrated with proper Theory and Real-time Hands-On examples.
Interact with Multiple integrations supported by Datadog monitoring tool.
Build and Instrument a Python Flask application for Application Performance Monitoring and Continuous Profiling.
Exclusive Datadog Topics like End-to-End Log Pipeline (LMS), Trace Pipeline (APM), Datadog Containerized Agent, Application Instrumentation etc.
This course is useful for Application developers too as there are multiple sections in the course that involves Instrumenting Applications to generate Custom Metrics, Custom Events, Traces etc.
For Datadog Administrators, there is a section for Datadog Account Management that involves Granting Roles & Permissions, API keys, SAML Group mappings, Audit Trail, Sensitive Data Scanner etc.
Course is packed with many Datadog Tips & Tricks that can be very helpful in your day to day interaction with Datadog monitoring tool in Real projects.

After completing this Datadog course, you can start working on any Real-time Datadog monitoring project with full confidence.

Please go through the above Course content/Curriculum to get more details of it.

Who this course is for:

Monitoring engineers who want to add Datadog monitoring tool in their skillset.
DevOps Engineers
Application Developers

What you'll learn

Explore related topics

Course content

Introduction6 lectures • 23min

Pricing and Setup2 lectures • 9min

Datadog Agent3 lectures • 15min

Infrastructure Monitoring - Host2 lectures • 12min

Tags in Datadog6 lectures • 20min

Infrastructure Monitoring - Processes4 lectures • 21min

Infrastructure Monitoring - Containers7 lectures • 30min

Metrics and Metric Views in Datadog7 lectures • 35min

Custom Metrics - Agent Check8 lectures • 40min

Custom Metrics - DogStatsD & Python app5 lectures • 22min

Requirements

Description

Who this course is for: