Mastering DPL (Dynatrace Pattern Language) - Extracting the Data from the Data

#Dynatrace Pattern Language (DPL) allows you to describe log patterns using type-based matchers instead of complex Regex or string matchers. DPL and the DPL Architect provide an easy, flexible, and resilient way to extract the data from your log data stored in Dynatrace Grail at any time, across any timeframe, even when log structures change. To learn more about DPL and the DPL Architect, join this session with Tiit Hallas, Principal Product Manager at Dynatrace, who walks us through an end-to-end security forensic scenario using the power of DQL and DPL. Links discussed in this session: Dynatrace Pattern Language (Doc): https://dynatr.ac/3POvEPR Dynatrace Query Language (Doc): https://dynatr.ac/3txzLIx DPL Architect: https://dynatr.ac/3QadCsH Practical Guide to DQL (Dynatrace Query Language):    • Dynatrace Notebooks & DQL in Action   Learn DQL Playlist: https://bit.ly/learndql Chapter List: 00:00 - Introduction 01:15 - What you'll learn today 02:24 - Requirements to Log Analytics 06:12 - Security Analytics Use Case 07:12 - Problem 1: Hard access data when I need it! 07:42 - Solution 2: Dynatrace Grail and DQL 08:36 - Problem 2: Regex is hard and only delivers text! 09:46 - Solution 2: Dynatrace Pattern Language (DPL) 12:27 - Compare DQL with Regex 13:07 - DPL increases speed and provides types 14:44 - LIVE Demo on DPL 24:25 - Use Case: Log Format Changing 36:48 - Wrap Up 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