Log Observability: Introduction to Dynatrace Grail and DQL

#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 where Josh Lange and 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 If you're new to Dynatrace feel free to sign up for your own Dynatrace SaaS Trial: https://bit.ly/dtsaastrial Here are all the follow-up links we discussed in the tutorial: Dynatrace Grail: https://dynatr.ac/3FOow2R Any Analysis, any time: Logs powered by Grail: https://dynatr.ac/3T2Ejhh Dynatrace Query Language: https://dynatr.ac/3fvhPYK DQL Guide: https://dynatr.ac/3T3sQ11 Dynatrace Pattern Language: https://dynatr.ac/3FHoF7V Business Analytics: https://dynatr.ac/3EanKfn 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 Subscribe to our channel → https://dynatr.ac/subscribeYT Stay up-to-date with Dynatrace! Follow us on: Facebook →   / dynatrace   Instagram →   / dynatrace   LinkedIn →   / dynatrace   Twitter →   / dynatrace   Twitch →   / dynatrace   Have a question about our platform? Visit our Dynatrace Community to connect with our experts and users → https://dynatr.ac/3FYfPB3