From the course: Advanced Data Engineering with Snowflake
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Alerts in Snowflake - Snowflake Tutorial
From the course: Advanced Data Engineering with Snowflake
Alerts in Snowflake
Generating and querying logs and traces to keep track of what happens in your code is one key part of observability. Another equally important part is the ability to be alerted when key events occur in your data environment. This is where Snowflake's alerts feature can help immensely. Alerts in Snowflake allow you to perform an action in your data environment when specific conditions are met. These actions can include sending out e-mail notifications or even executing a SQL statement, for example. An alert is made up of three components. A condition that triggers the alert, the action to perform when the condition is met, and finally, how often to evaluate the condition. In other words, a schedule to check for the condition. Alerts in Snowflake can be set up using SQL and once defined, can be configured to meet your specific use case. They frequently play a role across several different aspects of a pipeline. For example, you can use alerts on compute resources for generating…
Contents
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Observability for data engineering3m 57s
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Foundational concepts of observability3m 16s
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Observability with Snowflake Trail2m 2s
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Event Tables in Snowflake4m 20s
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Logging in Snowflake8m 35s
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Traces in Snowflake8m 29s
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Alerts in Snowflake8m 8s
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Notifications in Snowflake7m 51s
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Observability with third-party tools59s
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Recap and best practices for observability with Snowflake2m 2s
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Conclusion1m 27s
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