From the course: Microsoft Azure Cosmos DB Developer Specialty (DP-420) Cert Prep by Microsoft Press
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Implement and query Azure Cosmos DB logs
From the course: Microsoft Azure Cosmos DB Developer Specialty (DP-420) Cert Prep by Microsoft Press
Implement and query Azure Cosmos DB logs
- [Instructor] So this brings us to Azure Log Analytics. What is Log Analytics? Log Analytics is a Microsoft hosted log ingestion engine. And what you can do is import logs from various data sources. As you can see you're limited not to Azure, but you can go to other clouds, you can go to your on-premises data center and you can capture from all of your different data sources log data. And of course that would pertain to Cosmos as well. As long as Azure Log Analytics understands the log that's being emitted, it will rationalize that incoming log data as a table that looks and behaves a lot like a relational database table with columns, rows, and data types. Lastly, you can use the Kusto query language, K-U-S-T-O, or KQL for short, an example of which is down here. And you can write queries that span all of your different data sources. Isn't that powerful from a monitoring standpoint? So in this example, we're looking at…
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Learning objective37s
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Evaluate response status code and failure metrics3m 4s
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Monitor data replication in relation to latency and availability2m 21s
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Configure Azure Monitor alerts for Azure Cosmos DB2m 42s
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Implement and query Azure Cosmos DB logs5m 22s
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Monitor distribution of data across partitions1m 20s
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Monitor security by using logging and auditing12m 13s
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