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πŸŽ₯ Log Observability: Introduction to Dynatrace Grail and DQL

Community Team
Community Team

Dynatrace provides observability for logs without having to configure any upfront parsing or metric extraction rules. This advancement in log observability was made possible through Grail – the new core platform technology which unifies data while retaining its context to deliver fast, scalable, and cost-effective AI-powered answers and automation. To convert your raw logs into actionable answers Dynatrace also introduced DQL (Dynatrace Query Language) for context-rich log analytics.

Watch this observability clinic with Andreas Grabner @andreas_grabner where Josh Lange @joshua_lange and Michal Franczak @michal_franczak walk us through:
What is the problem that Dynatrace Log Observability solves?
What is Grail and how does it work?
Explore the new Log & Events Viewer
Introduction to Dynatrace Query Language
Tips and Tricks for working with DQL

Here are all the follow-up links we discussed in the tutorial:

Dynatrace Grail:
Any Analysis, any time: Logs powered by Grail:
Dynatrace Query Language:
DQL Guide:
Dynatrace Pattern Language:
Business Analytics:

Chapter List:
00:00 – Introduction
01:23 – What you're going to learn today
01:52 – What problem Dynatrace solves
02:22 – What is Grail
03:58 – Dynatrace Query Language (DQL)
08:28 – Introduction Live Demo DQL
32:00 – Advanced Live Demo DQL
38:26 – Classical vs Grail Log Observability
43:46 – What's coming next
47:05 – Wrap-Up & More Resources


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⭐ When passion meets people magic and innovation happen. ⭐

Community Team
Community Team

A Practical Guide to DQL (Dynatrace Query Language) you can find under the link:

⭐ When passion meets people magic and innovation happen. ⭐

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