Application observability is a fairly mature area. Engineering teams have a wide selection of tools they can choose to adopt and a significant amount of thought leadership and philosophy already exists giving guidance for managing your application. That application is going to persist data. As you scale up, your system is invariably going to experience problems beyond common metrics like response time, CPU usage, and throughput. At some point, you’ll experience data issues that, in many organizations, are discovered manually during a root cause analysis which links a downstream problem to a change in the database that wasn’t caught.
Metaplane is a monitoring tool for your data warehouse. It monitors your tables and raises alerts when issues such as anomaly detection occur. In this interview, I speak with Kevin Hu, Co-founder, and CEO at Metaplane. We discuss how their solution brings observability into the data warehouse.
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