Top 8 Recommended Datadog Self-Study Materials! [December 2023]

This course will help you to:

1. Understand basic and advanced concepts of Application Performance Management and Datadog tool usage

2. To build APM for your application with Datadog from scratch.

3. To visualize the entire request path and determine exactly where a bottleneck or error occurred.

To Be able only with a few mouse clicks to track errors inside your application and find slow queries.

4. Perform datadog Agent installations, configurations and query basic metrics.

5. Analyze datadog APM Service monitoring, Trace searches and Code Profiling.

This includes .NET Core API monitoring with the SQL service layer.

6. Create dashboards with different widgets like timeseries, query values and toplists.

We will create widgets together for:

- Latency in Timeseries and Query value graph

- Error rate in Timeseries and Query value graph

- Top List Endpoints in List/Table/Pie Chart

- Host graph usage

- Service map usage

- Applying Formulas

7. Create Monitors/Alerts for host, services, endpoints, iis and watchdog.

We will create alerts together for::

- monitor for request latency

- monitor for error rate

- monitor for specific api endpoint

- monitor for sql query duration

- monitor for host data reporting

- watchdog monitors

8. Understand SLA, SLO, SLI and Error Budget by creating Datadog SLO for success rate

9. Integrate monitors with Slack and PagerDuty

10. Synthetic Monitoring with API and Browser Tests creation using Get/Post requests with Authorization Bearer Tokens

11. Log Management and how to save/view logs using NLog in Datadog

12. Notebook

- how to investigate an issue using notebook and collaborate with team members using comments

- how to use templates and create custom ones

13. Monitor application key aspects like availability, reliability, scalability and duration.

14. How to setup and monitor NodeJS application with MongoDB in Datadog - with custom metrics and traces

1. Introduction
2. Welcome and Introduction to course
3. What is Application Performance Management?
4. Get started with Datadog: Registration, Pricing, and Agent installation
5. What is Datadog and why do we need it?
6. Pricing Information - free and paid options
7. Basic Definitions - host, agent and tags
8. Registration and Agent installation
9. Quiz For Datadog - Section 2
10. Datadog Agent: Definitions, Configuration and Integrations
11. Datadog Agent - definitions and configurations
12. Datadog Agent - display host basic metrics and default host dashboards
13. Datadog Agent - integration with Internet Information Server (IIS)
14. Quiz for Datadog Agent
15. Datadog Infrastructure: Host maps and Infrastructure List
16. Datadog Infrastructure: Host maps and Infrastructure List
17. Datadog Metrics: Explorer, Summary and Metric Types
18. Metrics Explorer
19. Metrics Summary and Metrics Types
20. Quiz on Datadog Metrics - Explorer, Summary and Metric Types
21. Datadog APM: Download, Installation, Services, Traces and Error Tracking
22. APM will monitor our DogsWorld application based on .NET Core
23. APM - download, installation and basic configuration (Windows)
24. APM Services and Service Map
25. APM Traces - Transactions, Basic search, Search pane and Facets
26. APM Traces - Flame graph, Span list and System Tags
27. APM Traces - Error Tracing
28. APM - Profiling
29. Quiz for APM
30. Datadog APM: Custom Tags, Exception Handling and Facets
31. APM - Custom Tags and Sending custom tags using .NET Tracer Nuget Package
32. APM - Custom Tags, Search, Filter and Facet usage
33. Quiz for Datadog Tags
34. Datadog Dashboards: Create (with Graphs), Import, Export and Variable Usages
35. Dashboard List and Definitions
36. Dashboard - Create a New Dashboard with many Widgets
37. Dashboard - Import widgets/graphs into Dashboard from Services and Metrics Page
38. Dashboard - Import and Export as JSON
39. Dashboard - Variables usage
40. Quiz for Datadog Dashboards
41. Datadog Monitors (Alerts) and Notifications by Email, Slack and PagerDuty
42. Monitors - Create Monitors
43. Monitors - Suggested Monitors
44. Monitors - Management
45. Monitors - Integration with Slack
46. Pager Duty - Account Creation
47. Monitors - Integration with Pager Duty
48. Quiz for Datadog - Monitors
49. Datadog: SLA, SLO, SLI and Error Budget (DevOps)
50. Datadog - SLA, SLO, SLI and Error Budget (DevOps)
51. Datadog - SLO Creation, Date Correlation and Setup Alerts
52. Datadog: SLA, SLO, SLI and Error Budget Quiz
53. Synthetic Monitoring: API Tests and Browser Tests
54. What is a Synthetic Monitoring
55. Create API Tests
56. Create Browser Tests
57. Quiz for Datadog - Synthetic Monitoring
58. Log Management: Basics, Log Entries, Log Exceptions, NLog usage
59. What is a Log Management System
60. How to Log Data using NLog
61. Log Explorer and Log Exceptions
62. Quiz for Dataog - Log Management
63. Notebook: Creation, Issue Investigation, Documentation and Templates Usage
64. What is a Notebook in Datadog?
65. How to create Documentation Type of Notebook
66. How to Investigate an Exception using Notebook and collaborate with other users
67. Notebook Templates (Custom and Built in)
68. Questions for Datadog Notebook
69. NodeJS with MongoDB application monitoring in Datadog
70. Setup NodeJS application with MongoDB locally from GitHub
71. Configure NodeJS Custom Metrics
72. Configure NodeJS Services and Traces
73. NodeJS and MongoDB Service Catalog
74. NodeJS Traces
75. Datadog - Account
76. Account Summary
77. Account Collaboration
78. Final

"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.

1. Introduction
2. Introduction to Monitoring in SDLC
3. What is Datadog monitoring tool
4. Key functionalities of monitoring tools
5. Announcement
6. Monitoring Terminologies
7. Architecture of Datadog
8. Pricing and Setup
9. Datadog Pricing
10. Datadog Setup and account creation
11. Datadog Agent
12. Datadog Agent Manager
13. Datadog Agent's Directory Tour
14. Datadog Agent Manager continued
15. Quiz 1
16. Infrastructure Monitoring - Host
17. Host Map
18. Agent, System, Ntp metrics in Host Map
19. Tags in Datadog
20. Introduction to Tagging
21. Unified Service Tagging (Reserved Tags) in Datadog
22. Filtering, Grouping on Tags
23. Assigning Tags from datadog.yaml file
24. Announcement1
25. Host Map Options
26. Quiz 2
27. Infrastructure Monitoring - Processes
28. Process Explorer - Part 1
29. Process Explorer - Part 2
30. Scrubbing Sensitive data
31. Create Custom Process metrics
32. Infrastructure Monitoring - Containers
33. Introduction
34. Docker Setup
35. Containerized Docker Agent Setup
36. Container Map and Live Containers
37. Realistic approach to run Docker agent
38. Environment Variables Translation rules
39. Run Docker Agent from Docker Compose file
40. Quiz 3
41. Metrics and Metric Views in Datadog
42. What are Metrics ?
43. Why Datadog Agent aggregates metrics
44. Count, Rate, Gauge, Set Metric types
45. Histogram Metric type
46. Distribution Metric type
47. Datadog's Summary View for Metrics
48. Metric Explorer
49. Custom Metrics - Agent Check
50. Custom Metrics Fundamentals
51. Custom Metrics submission types
52. Create Custom Check for COUNT metric type
53. Custom Agent check running
54. Metric Without Limits
55. Create Custom Check for GAUGE metric type
56. Create Custom Check for RATE metric type
57. Create Custom Check for HISTOGRAM metric type
58. Custom Metrics - DogStatsD & Python app
59. Python application code to instrument
60. increment() & decrement() functions for COUNT metric type
61. Instrument Python app for COUNT metric type
62. Instrument Python app for GAUGE metric type
63. Instrument Python app for HISTOGRAM & DISTRIBUTION
64. Quiz 4
65. Events
66. Introduction to Events
67. Event Log Check to capture Windows Events
68. Create Custom events
69. Event Explorer
70. Notebooks
71. Create notebook - Add Timeseries Cell
72. Add Text, Table cells in notebook
73. Notebook Settings
74. Notebook Templates
75. Quiz 5
76. Dashboards
77. Introduction to Dashboards
78. Timeseries widget
79. Find Correlations in metrics
80. Query values, Table, Top list widgets
81. Groups, Annotations, Summaries, List, Stream widgets
82. Template Variables
83. Dashboard Settings
84. Monitors & Alerts
85. Create Host Monitor
86. Tag, Template, Conditional Variables
87. Draft Notification messages
88. Draft Renotification message
89. EVAL function
90. Trigger Monitor & Test notifications
91. Manage Monitors View
92. Downtime
93. Quiz 6
94. Logs Collection
95. Introduction to Datadog's Log Management
96. Configurations required to collect logs from Python App
97. Python application to generate logs
98. Containerized Log collection
99. Logs Preprocessing - Datadog Log Pipelines
100. Introduction to Log pipelines
101. Create Custom Processor in Pipeline using Grok Parser
102. Create Custom Pipeline
103. Standard Attributes
104. Generate Log based metrics
105. Create Custom Index
106. Exclusion Filter in an Index
107. Archive Logs to Google Cloud
108. Log Rehydration
109. Log Explorers
110. Live Tail view
111. Group logs by Fields, Patterns, Transactions
112. Create Facet in Facet panel
113. Create Measure in Facet panel
114. Quiz 7
115. Datadog Integrations
116. Datadog Integrations Types
117. Supported Datadog Integrations with default Dashboards
118. Application Performance Monitoring (APM) - Instrument Flask App
119. Understanding Flask application
120. What are Traces & Spans
121. APM Setup & Configuration
122. Run app with ddtrace instrumentation
123. APM - Trace Pipeline
124. Introduction to Trace pipeline
125. Sampling - Agent & Library level
126. Trace Metrics
127. Sever side components of Trace pipeline
128. Ingestion Control - Usage Dashboard
129. Ingestion Control - Manage Agent & Library Sampling
130. Ingestion Control - Library Sampling
131. Ingestion Control - Custom metrics & Retention filters
132. APM Views & Explorers
133. Live Search
134. Trace View - Flame graph, Span list, Dependency Map
135. Introduction to Service Catalog
136. Service catalog - Ownership, Reliability, Performance, Security views
137. Service page
138. Resource page
139. Deployments tab & Service Map view
140. Instrument application for Error Tracking
141. Error Tracking page
142. Connect Traces to Logs
143. Service Registration
144. Quiz 8
145. Continuous Profiling
146. Instrumentation for Profiling
147. Endpoint Profiling & Code hotspots
148. UI Monitoring
149. Introduction to Real User Monitoring (RUM)
150. Instrument application for RUM
151. Event types collected by RUM
152. Customize & Enrich RUM data
153. Session & Replays
154. View Panel
155. Dashboards and Generate Custom RUM Metrics
156. Account Management for Admins
157. Personal Settings
158. Organization settings
159. SAML Group mappings
160. API and Application keys
161. Login methods
162. Audit Trail
163. Sensitive data scanner
164. Plan and usage
165. Additional Learnings
166. Docker Installation on Ubuntu
167. VM Ubuntu Installation

"This course incorporates quizzes that closely resemble the questions encountered in the Datadog Fundamentals certification exam."

In this course, you'll find quizzes that are designed to closely mimic the types of questions you'll come across in the actual Datadog Fundamentals certification exam. These quizzes serve as practice tests that aim to simulate the format, difficulty, and style of questions that you'll encounter during the certification exam. By working through these quizzes, you'll become more familiar with the types of questions you can expect and how to approach them effectively.

"It contains two sets of practice exams each having 50 questions covering almost all the topics which are required for the Fundamentals exam."

The course is structured to include two sets of practice exams. Each set consists of 50 questions, totaling 100 questions overall. These questions are thoughtfully crafted to cover a wide range of topics that are essential for the Datadog Fundamentals certification exam. By practicing with these questions, you'll gain a comprehensive understanding of the key concepts and knowledge areas that the certification exam assesses.

"Once you finish this course, you will get an idea about the exam pattern."

Upon completing this course and engaging with the practice exams, you'll develop a solid grasp of the typical patterns and structure of questions that appear in the Datadog Fundamentals certification exam. This familiarity with the exam's format will boost your confidence and readiness when you actually sit for the certification.

"Some of the questions have detailed explanations at the end of each set that will help you gain a deeper understanding of Datadog."

To enhance your learning experience, certain questions in the practice exams come with detailed explanations. These explanations are provided at the end of each set of questions. They aim to provide insights into the reasoning behind the correct answers and clarify any misconceptions or uncertainties you might have. By reviewing these explanations, you'll not only learn the correct answers but also gain a deeper understanding of the underlying concepts related to Datadog and the topics covered in the certification exam.

FREQUENTLY ASKED QUESTIONS:

Can I take the Datadog Fundamental exam online at my home?

• Yes, you can take the Datadog Fundamental exam, as well as the other Datadog certification exams at your own home

How can I schedule my Datadog Fundamental exam?

• You can go to the official Datadog official website and then click the “Schedule Exam” button to book your exam.

  
  

1. Datadog Fundamentals Practice Exam Set 1
2. Datadog Fundamentals Practice Exam Set 2

This course is specifically designed for Datadog Logging Practice tests. These practice tests encompass questions from various logging areas and incorporate essential best practices. Upon completing this course, you will find yourself thoroughly equipped and well-prepared to tackle the exam with confidence and ease. The knowledge and skills you acquire here will not only enable you to answer exam questions accurately but also empower you to apply your understanding in real-time situations. Your journey through this course will not only be a preparation for an exam but also a transformational experience, enhancing your expertise in the intricate realm of logging practice

The knowledge and skills you acquire here will not only enable you to answer exam questions accurately but also empower you to apply your understanding in real-time situations. Your journey through this course will not only be a preparation for an exam but also a transformational experience, enhancing your expertise in the intricate realm of logging practice

The knowledge and skills you acquire here will not only enable you to answer exam questions accurately but also empower you to apply your understanding in real-time situations. Your journey through this course will not only be a preparation for an exam but also a transformational experience, enhancing your expertise in the intricate realm of logging practice

1. Datadog Logging Fundamentals Practice Test Set1
2. Datadog Logging Fundamentals Practice Test Set2

This course is for intermediate+ DevOps software engineer to learn observability in Kubernetes using Datadog (monitoring, logging, alerting).

If you are one of the below:

- what is Datadog and datadog agentg?

- how can I aggregate and analyze K8s logs?

- what is APM (App Performance Monitoring)?

- what are Datadog features/services?

Then, you will understand the basics of Datadog in 30 minutes!

Who should take this course

• at least intermediate level in DevOps, Kubernetes, and Docker

• you know how to use Helm chart

• you have setup K8s cluster in AWS EKS (or GKE etc)

Why you should take this course:

1. Instructed by a cloud DevOps engineer (with CKA and certified AWS DevOps pro) working at US company in SF

I have been pretty handson with Terraform, AWS, AWS EKS with 7+ industry experience in both North America and Europe.

My background & Education & Career experience

• Cloud DevOps Software Engineer with 7+ years experience

• Bachelor of Science in Computing Science from a Canadian university

• Knows Java, C#, C++, Bash, Python, JavaScript, Terraform, IaC

• Expert in AWS (holds AWS DevOps Professional certification) and Kubernetes (holds Certified Kubernetes Administrator, CKA)

I will see you inside!

Please note this is a free sample course for "Datadog in Kubernetes"

NOTE: This is a free intro course for "Datadog in Kubernetes".

1. Datadog Overview
2. 1.0 Datadog overview
3. 1.1 Integration
4. 1.2 Dashboard
5. 1.3 Infra
6. 1.4 Logs
7. 1.5 Events
8. 1.6 APM
9. 1.7 Synthetic tests
10. 1.8 Network
11. Deploy Guestbook App to K8s
12. Set up ESK Cluster and Deploy Guestbook App in K8s
13. BONUS lecture
14. Bonus: what is next step?