From the course: Advanced Data Engineering with Snowflake

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Recap and best practices for observability with Snowflake

Recap and best practices for observability with Snowflake - Snowflake Tutorial

From the course: Advanced Data Engineering with Snowflake

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Recap and best practices for observability with Snowflake

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Let's recap everything that you've learned about observability with Snowflake. We covered the core components that make up Snowflake's observability framework, also known as Snowflake Trail. You specifically learned about event tables, logs, traces, alerts, and notifications. You also learned that Snowflake Trail is built using OpenTelemetry standards, so implementing observability in Snowflake is fairly frictionless. By this point, you know that event tables are used to capture telemetry data and that they follow OpenTelemetry standards by using standardized table columns for telemetry data. You know that logs represent records of single events happening in your system, in this case, your code. And that traces contain much more detail by generating the series of events that led up to an outcome. You also know that logs and traces can easily be captured in event tables using common logging libraries, as well as Snowflake-provided telemetry libraries in your language of choice. You…

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