Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 50 Minute(s)
Language
English
Taught by
Emin Salim
Rating
Course Overview
Analyze performance key metrics using APM services, Traces, Profiling, Dashboard and create Advanced Monitoring system
This course will help you to:
Understand basic and advanced concepts of Application Performance Management (APM) and Datadog tool usage.
Build APM for your application from scratch using Datadog.
Visualize the entire request path and quickly identify where bottlenecks or errors occur.
Track application errors and slow queries with just a few clicks.
Install and configure the Datadog Agent and query essential system and application metrics.
Analyze Datadog APM services, trace searches, and code profiling, including .NET Core API monitoring with SQL service layer visibility.
Create dashboards using different widgets, including:
Time series
Query value
Top lists
Tables and pie charts
We will build dashboards together for:
Latency (time series & query value)
Error rate (time series & query value)
Top API endpoints
Host resource usage
Service map visualization
Applying formulas for advanced insights
Create monitors and alerts for hosts, services, endpoints, IIS, and Watchdog:
Request latency
Error rate
Specific API endpoints
SQL query duration
Host data reporting
Watchdog monitors
Understand SLA, SLO, SLI, and Error Budgets by creating Datadog SLOs for success rate tracking.
Integrate monitors with Slack and PagerDuty for real-time incident notifications.
Use Synthetic Monitoring with API and browser tests, including
GET/POST requests with Bearer token authorization.Manage logs in Datadog, including saving and viewing logs using NLog.
Use Datadog Notebooks to:
Investigate incidents
Collaborate with team members using comments
Create and reuse custom templates
Monitor key application aspects such as availability, reliability, scalability, and performance duration.
Set up and monitor a Node.js application with MongoDB, including:
Service configuration
Custom metrics
Distributed tracing
Learn the latest Datadog updates and features used in modern production environments.
Course Content
- 16 section(s)
- 56 lecture(s)
- Section 1 Introduction
- Section 2 Get started with Datadog: Registration, Pricing, and Agent installation
- Section 3 Datadog Agent: Definitions, Configuration and Integrations
- Section 4 Datadog Infrastructure: Host maps and Infrastructure List
- Section 5 Datadog Metrics: Explorer, Summary and Metric Types
- Section 6 Datadog APM: Download, Installation, Services, Traces and Error Tracking
- Section 7 Datadog APM: Custom Tags, Exception Handling and Facets
- Section 8 Datadog Dashboards: Create (with Graphs), Import, Export and Variable Usages
- Section 9 Datadog Monitors (Alerts) and Notifications by Email, Slack and PagerDuty
- Section 10 Datadog: SLA, SLO, SLI and Error Budget (DevOps)
- Section 11 Synthetic Monitoring: API Tests and Browser Tests
- Section 12 Log Management: Basics, Log Entries, Log Exceptions, NLog usage
- Section 13 Notebook: Creation, Issue Investigation, Documentation and Templates Usage
- Section 14 NodeJS with MongoDB application monitoring in Datadog
- Section 15 Datadog - Account
- Section 16 Latest Updates and Features from Datadog
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, Latest updates and features
Skills covered in this course
Reviews
-
TTanishq Modi
It's a good course to get familiarized with the platform and the features but can be improved with more production ready examples cause things are much more complex there
-
BBruno Marc-Aurèle
I'm not here to learn about what Datadog is and how much it costs. My company uses it, and I want to learn how to use it. Hopefully the rest of the training will give me that.
-
MMax Nieto Montoya
Very well explained the knowledge to know how Datadog works. It would be good to add an environment with Linux, but everything else looks fine.
-
PPaulo Cesar Benatto Junior
The course is in line with expectations, it can guide you in all aspects of Datadog
