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Performance Monitoring with Datadog Course

Performance Monitoring with Datadog Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

The Performance Monitoring with Datadog Course teaches you how to set up the agent and key integrations, design effective dashboards, and track critical metrics, logs, and traces. Learn to build precise alerts, use APM, log pipelines, and flame graphs to investigate incidents, and apply tagging strategies and environment mapping to quickly find root causes and improve reliability in any modern stack.

Elevify advantages

Develop skills

  • Datadog incident triage: investigate errors fast with logs, traces, and dashboards.
  • High-signal alerts: design Datadog monitors for latency, errors, and anomalies.
  • Datadog APM mastery: trace slow requests, SQL, and external calls in minutes.
  • Production-ready tagging: organize envs, services, and teams for clear observability.
  • Datadog dashboards: build health and deep-dive views for rapid root-cause analysis.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload
Workload: between 4 and 360 hours

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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