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

Explore an in-depth tutorial on Dynatrace Pattern Language (DPL) and its application in extracting data from log data stored in Dynatrace Grail. Learn how DPL and the DPL Architect offer an easy, flexible, and resilient approach to data extraction, even when log structures change. Follow along as Tiit Hallas, Principal Product Manager at Dynatrace, guides you through an end-to-end security forensic scenario using DQL and DPL. Discover the advantages of DPL over complex Regex or string matchers, including increased speed and type-based matching. Gain practical insights through a live demonstration and explore real-world use cases, such as handling changing log formats. Access additional resources and documentation to further enhance your understanding of DPL and DQL.

- Introduction
- What you'll learn today
- Requirements to Log Analytics
- Security Analytics Use Case
- Problem 1: Hard access data when I need it!
- Solution 2: Dynatrace Grail and DQL
- Problem 2: Regex is hard and only delivers text!
- Solution 2: Dynatrace Pattern Language DPL
- Compare DQL with Regex
- DPL increases speed and provides types
- LIVE Demo on DPL
- Use Case: Log Format Changing
- Wrap Up