Udemy - Learn DataDog Monitoring
"softddl.org"
29-12-2020, 03:29
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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | SRT | Size: 2.60 GB | Duration: 3h 22m
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | SRT | Size: 2.60 GB | Duration: 3h 22m
What you'll learn
Download, Install and Run DataDog Agents
Start and Stop the Agent
Basics of DataDog DashBoards
Learn how to use different Widgets with your DashBoard (Query Widget, Change Widget, Group and Notes Widgets)
Apply Functions (Arithmetic, Rates and Interpolation)
Integrate with a messaging platform like Slack and send alerts when things go wrong
Use different monitors to continuously check metrics - Metric Monitors, Anomaly Monitors, ForeCast Monitors
Understand the algorithms behind Anomaly and ForeCast Monitors
Requirements
An Internet connection
A working Computer with either Windows/MacOS or Linux
A desire to learn and Crush It!
Description
Always have a hard time finding your error in the host of different servers? Having a hard time configuring alerts for when things go wrong?
Need to manually investigate issues when a server/database runs out of space? DataDog will actually forecast these issues and tell you in advance. It is no wonder that DataDog's usage and acceptance grows day by day.
Whether you are a Software Architect looking for a way to switch over your conventional logging mechanism to the next generation of tools or a developer looking for a one stop shop to manage your entire data/monitoring storage and computation framework, DataDog is the solution for you. DataDog is especially good for monitoring your Cloud based architecture.
You will get a quick grasp on DataDog. It is one of the best data monitoring tools out there, with the ability to design and develop dashboards and it will let you add widgets to provide great visual representation into your entire ecosystem.
Everything is well documented and separated, so you can find what you need. Assignments and Quizzes will make sure you stay on track and test your knowledge. The course will have a combination of theory and practical examples.
The Setup
Setup Datadog Agents on the Mac as well as Windows. Learn how to start and stop the agents as well. Then move on to integrating DataDog with another tool like Prometheus. Learn efficient ways to edit your DataDog config files.
DashBoards and Widgets
Create simple TimeBoard Dashboards with different types of Widgets. Start with the timeseries widgets, where will see how to use one or multiple widgets. Use different display styles like Bars, lines, colors etc. Then use some more advance Widgets like the Change Widget, query widgets, group widget and notes widget.
Functions
Learn how to use different functions that comes with single or multiple metrics inside the widget. Use simple arithmetic functions like cumulative sum or calculate the rates of different metrics per second or per minute. Even learn to use Interpolation with a variety of metrics.
Integrations
Two points here. The first is that you must integrate with other systems like Slack. Slack is a messaging platform. When things go wrong we can send alerts here. Configure alerts so they can be used later on in Monitors as well.
Monitors
Don't want to manually check if there is an issue? In come Monitors. Different types of monitors are appropriate for different types and combinations of metrics. For simple metrics with stable values you could just set a threshold. And send a slack alert when it is crossed.
But this does not always work. For metrics that have patterns you want your monitor to predict the pattern and not just send spam alerts when a threshold gets crossed. For this we have other types of monitors with in built algorithms to detect seasonal patterns. Anomaly and forecast widgets help you here.
Who this course is for:
Students trying to get a quick grasp of DataDog
Developers looking to monitor and Visualize their apps/machines/servers with DataDog
Developers and Software Architects who have used another tool to monitor their apps and are now looking to move over to DataDog
Devs looking to run analysis on the the data from their Apps
Those who like their data good looking :)
Homepage
https://www.udemy.com/course/learn-datadog-monitoring/
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