Datadog Monitoring – A Full Basic to ADVANCE Datadog guide
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 Datadog 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.
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.
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