A Practical Guide to SQL Extensions with Dynatrace

#Dynatrace provides you with a framework that you can use to extend your observability into data acquired from a database using SQL queries against our supported databases such as Oracle, SQL Server, IBM, MySQL, PostgreSQL, SAP Hana, or Snowflake. Watch this hands-on tutorial where Vagiz Duseev, Extension Architect at Dynatrace, walks us through a complete end-to-end scenario of building a Dynatrace Extension using SQL as a Data Source provided by the Extension 2.0 framework. Links: Clinic on Visual Studio Code Extension for Dynatrace: https://youtu.be/Qy4Ge8HIzEk?si=q9VSRVmEKgt1z5I8 Doc on VSCode Extension: https://dynatr.ac/3IqA7F3 Lifecycle of Extensions 2.0: https://dynatr.ac/3Tjz544 SQL Data Sources: https://dynatr.ac/3V06HFh Chapter List: 00:00 - Introduction 01:04 - What you're going to learn today 01:27 - How Dynatrace monitors databases 02:51 - Dynatrace Extensions 2.0: SQL Datasource 04:44 - Existing Extensions: Oracle, SQL Server, SAP .... 05:20 - Database App 05:44 - Write your own SQL Extension 11:11 - LIVE Demo - Write a SQL Extension 48:32 - Convert from Custom DB Query to SQL 2.0 50:04 - Troubleshooting 51:03 - Additional Resources Subscribe to our channel → https://dynatr.ac/subscribeYT Stay up-to-date with Dynatrace! Follow us on: Facebook → https://facebook.com/dynatrace Instagram → https://instagram.com/dynatrace LinkedIn → https://linkedin.com/company/dynatrace Threads → https://www.threads.net/@dynatrace Twitter / X → https://twitter.com/dynatrace Twitch → https://twitch.tv/dynatrace Have a question about our platform? Visit our Dynatrace Community to connect with our experts and users → https://dynatr.ac/3FYfPB3