Database Monitoring & Observability

Jonathan Morin (Product Lead @datadoghq) & Jason Manson-Hing (Product Manager) talk about emerging trends in Database monitoring and observability. 

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SHOW NOTES:

• Troubleshoot blocking queries with Datadog DBM
• Datadog DBM
• AlwaysOn availability groups with Datadog DBM
• Also, recently, Datadog announced a feature availability for DBM, the ability to create monitors and alerts on data surfaced from Datadog DBM. Here's a doc written by the engineers of Datadog on the feature announcement. 
• Try Datadog Database Monitoring with a free trial to begin tracking and analyzing query metrics from your database fleet.  

Topic 1 - Welcome to the show. Tell us a little bit about your background, and what you focus on at Snowflake.

Topic 2 - Let’s talk about database monitoring. There are so many types of databases these days (SQL, Graph, Time-Series, Document, etc.), are the concepts for database monitoring the same across any database, or does the system need specific domain expertise? 

Topic 3 - Given the importance of database performance for the overall application experience, do you find that DBAs (or application developers) are thinking about their monitoring strategy earlier in the DB design process? 

Topic 4 - What are some of the most common database challenges to monitor and troubleshoot (e.g. root problems, performance)? What are some of the most difficult to troubleshoot (e.g. AlwaysOn Availability groups)? 

Topic 5 - How much time and effort is typically spent monitoring/troubleshooting DB problems in real-time vs. looking at historical trends and trying to either troubleshoot issues or predict how things might behave in the future? 

Topic 6 - What are some of the things that can be done to find the right balance between resources being dedicated to application-database processing vs. database-monitoring processing? 

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