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You're reading from  Azure Data Engineer Associate Certification Guide

Product typeBook
Published inFeb 2022
PublisherPackt
ISBN-139781801816069
Edition1st Edition
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Newton Alex
Newton Alex
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Newton Alex

Newton Alex leads several Azure Data Analytics teams in Microsoft, India. His team contributes to technologies including Azure Synapse, Azure Databricks, Azure HDInsight, and many open source technologies, including Apache YARN, Apache Spark, and Apache Hive. He started using Hadoop while at Yahoo, USA, where he helped build the first batch processing pipelines for Yahoo's ad serving team. After Yahoo, he became the leader of the big data team at Pivotal Inc., USA, where he was responsible for the entire open source stack of Pivotal Inc. He later moved to Microsoft and started the Azure Data team in India. He has worked with several Fortune 500 companies to help build their data systems on Azure.
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Interpreting Azure Monitor metrics and logs

As we have seen in the introduction to Azure Monitoring, metrics and logs form the two main sources of data for monitoring. Let's explore how to view, interpret, and experiment with these two types of monitoring data.

Interpreting Azure Monitor metrics

The metrics data collected from Azure resources is usually displayed on the overview page of the resource itself, and more details are available under the Metrics tab. Here is an example again of how it looks for a storage account:

Figure 13.15 – Metrics data for a storage account

For each of the metrics, you can aggregate based on Sum, Avg, Min, and Max. The tool also provides the flexibility to overlay with additional metrics using the Add metric option, filter out unwanted data using the Add filter option, and so on. You can access the data for up to 30 days using this metrics explorer.

Let's next see how to interpret logs.

Interpreting...

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Azure Data Engineer Associate Certification Guide
Published in: Feb 2022Publisher: PacktISBN-13: 9781801816069

Author (1)

author image
Newton Alex

Newton Alex leads several Azure Data Analytics teams in Microsoft, India. His team contributes to technologies including Azure Synapse, Azure Databricks, Azure HDInsight, and many open source technologies, including Apache YARN, Apache Spark, and Apache Hive. He started using Hadoop while at Yahoo, USA, where he helped build the first batch processing pipelines for Yahoo's ad serving team. After Yahoo, he became the leader of the big data team at Pivotal Inc., USA, where he was responsible for the entire open source stack of Pivotal Inc. He later moved to Microsoft and started the Azure Data team in India. He has worked with several Fortune 500 companies to help build their data systems on Azure.
Read more about Newton Alex