Datadog: Performance monitoring tool (from Zero to Hero)

Analyze performance key metrics using APM services, Traces, Profiling, Dashboard and create Advanced Monitoring system
4.47 (6765 reviews)
Udemy
platform
English
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Other
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instructor
Datadog: Performance monitoring tool (from Zero to Hero)
37 110
students
6 hours
content
Mar 2025
last update
$29.99
regular price

Why take this course?

🌟 Master Datadog for Performance Monitoring: Zero to Hero! 🚀

Course Title: Datadog: Performance Monitoring Tool (from Zero to Hero)

Headline: Analyze performance key metrics using APM services, Traces, Profiling, Dashboard & create Advanced Monitoring system


Course Description:

Embark on a comprehensive journey to master Datadog, the leading Performance Monitoring and Application Performance Management (APM) tool. This course is meticulously designed for individuals looking to understand and utilize Datadog to its full potential. Whether you're starting from scratch or aiming to refine your skills, this course will empower you with the knowledge to build robust APM systems, analyze complex metrics, and create advanced monitoring dashboards that provide real-time insights into your application's performance.

What You Will Learn:

🎓 Basic & Advanced Concepts of APM & Datadog Usage

  • Grasp the fundamentals of Application Performance Management.
  • Explore advanced usage of Datadog for optimal performance monitoring.

🔧 Building APM from Scratch with Datadog

  • Learn to install and configure the Datadog Agent.
  • Discover how to track errors, slow queries, and other critical issues with just a few clicks.

📊 Visualizing Application Performance

  • Master visualization of request paths to pinpoint bottlenecks or errors.
  • Analyze service monitoring, trace searches, and code profiling.

🛠️ Datadog Dashboards & Widgets

  • Create dashboards with a variety of widgets:
    • 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
  • Learn to apply Formulas for deeper analysis.

🚨 Monitors & Alerts Setup

  • Set up monitors and alerts for hosts, services, endpoints (including .NET Core API monitoring), iis, and watchdogs.
  • Receive hands-on guidance to create alerts for:
    • Request latency
    • Error rate
    • Specific API endpoint performance
    • SQL query duration
    • Host data reporting
    • Watchdog monitors

📈 SLA, SLO & Error Budget

  • Understand and implement Service Level Objectives (SLOs) for success rates.
  • Learn to integrate Datadog with communication platforms like Slack and PagerDuty.

🤖 Synthetic Monitoring

  • Create API and Browser Tests using Get/Post requests with Authorization Bearer Tokens.

📚 Log Management & Notebook

  • Save, view, and investigate logs using NLog in Datadog.
  • Collaborate with team members through the Notebook feature with comments.
  • Utilize and create templates for efficient monitoring.

🔄 Monitoring Application Key Aspects

  • Ensure your application is being monitored for availability, reliability, scalability, and response times (duration).

🏭 Real-World Implementation

  • Learn to set up and monitor a NodeJS application with MongoDB within Datadog, including custom metrics and traces.

By the end of this course, you will not only have a robust understanding of how to use Datadog for performance monitoring but also be able to implement a comprehensive monitoring system that can handle real-world scenarios. Whether you're a developer, DevOps engineer, site reliability engineer (SRE), or IT professional, this course will equip you with the skills necessary to maintain high-performance applications and systems.

Join us on this learning path and transform your approach to application performance monitoring with Datadog! 🌟

Course Gallery

Datadog: Performance monitoring tool (from Zero to Hero) – Screenshot 1
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Comidoc Review

Our Verdict

Datadog: Performance monitoring tool from Zero to Hero is a generally well-received course with mixed feedback regarding audio quality and closed captioning. Overall, the course features a passionate instructor who explains complex topics in Windows and IIS environments, covering many aspects of Datadog's capabilities. Some users would find improvements in sound consistency, more detail on metrics formulas, better closed captioning, and clearer language.

What We Liked

  • Covers a lot of topics, including advanced features like Notebooks and SLA
  • Instructor is passionate and excited about Datadog, making it easy to follow
  • Includes real-world examples and applications for better understanding
  • Explains complex concepts in Windows and IIS environments

Potential Drawbacks

  • Sound quality can be inconsistent with volume changes and muffled audio
  • Closed captioning (English) is hit-or-miss, sometimes irrelevant to content
  • Lacks detail on metrics formulas and syntax for real-world use
  • Unclear language and challenging pronunciation, making it difficult at faster speeds

Related Topics

4510964
udemy ID
23/01/2022
course created date
26/07/2022
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