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Udemy - An Introduction To DataDog For Developers
TORRENT SUMMARY
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How to Integrate DataDog into your DevOps lifecycle (we use a nodejs app for example)
You will setup DataDog agents and monitor the web applications
Understand and Resolve Errors detected by DataDog
How DataDog enables APM, RUM and Synthetic Monitoring
How the DataDog agent works internally
How to use DataDog to calculate Apdex Scores
Use DataDog to set and implement SLO's, SLI's and SLA's
Requirements
A desire to learn and Crush It!
A working Computer with either Windows/MacOS or Linux
An Internet connection
All technologies we will use will be free/have free trial versions
Some Basic knowledge of unix/linux commands can be helpful, but not required
Description
DataDog is the leading monitoring service out there, whether it's could applications, operating systems, servers or browsers, DataDog covers it all. If you are an aspiring DevOps Guru, this course is for you! DataDog's valuation and popularity is sky-rocketing, be ahead of the curve and a handle on it!
The course will guide you through the architecture of DataDog and where it should fit in your DevOps Lifecycle. You will setup a DataDog account as well as install an agent. The data the agent reports will be used to calculate metrics like Apdex Scores, SLO's, SLI's and SLA's.
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.
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