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Datadog: Performance monitoring tool (from Zero to Hero)

February 7, 2024 IT & Software, Udemy CoursesUdemy

Deal Score+5

REDEEM

Deal Score+5

REDEEM

Datadog: Performance monitoring tool (from Zero to Hero)

Analyze performance key metrics using APM services, Traces, Profiling, Dashboard and create Advanced Monitoring system

Created by Emin Salim | 5.5 hours on-demand video course

This Datadog: Performance monitoring tool (from Zero to Hero) course will help you to: Understand basic and advanced concepts of Application Performance Management and Datadog tool usage, To build APM for your application with Datadog from scratch. 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. Perform datadog Agent installations, configurations and query basic metrics. Analyze datadog APM Service monitoring, Trace searches and Code Profiling.

What you’ll learn

Understand basic and advanced concepts of APM and Datadog tool usage.
Datadog Agent installations and configurations. Includes IIS integration.
Datadog APM Service monitoring, Traces observations and Error Tracking. This includes .NET Core API monitoring with the SQL service layer
Datadog Custom Tags usage from your .NET application.
Dashboards creation with different widgets like timeseries, query values, toplists, tables, pie charts, service maps and watchdog.
Alerts/Monitors creation for host and services. Monitors for latency, error and success call rates and sql query duration.
Understand SLA, SLO, SLI and Error Budget by creating Datadog SLO for success rate (DevOps)
Monitor application key aspects like availability, reliability, scalability and duration. Also monitor top slowest queries.
Integrate monitors with Slack and PagerDuty
Synthetic Monitoring and Performing API and Browser Tests. Using GET/Post methods with request body and Authorization Bearer Token
Log Management: Basics, Log Entries, Log Exceptions, NLog usage
How to investigate an issue using Notebook and collaborate it with the team members
How to setup and monitor NodeJS application with MongoDB in Datadog – with custom metrics and traces