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Datometry Documentation

Hyper-Q Monitoring for Azure Synapse

Hyper-Q Monitoring for Azure Synapse Analytics describes how to configure logging and monitoring for Datometry® Hyper-Q™ with Microsoft Azure Synapse Analytics.

This guide contains the following sections:

About Hyper-Q Log Files Checking the log files can help you identify sources of failure.

Configure Hyper-Q Logs Learn how to configure Hyper-Q log system settings.

Hyper-Q Error Log File The error log file contains contains critical startup messages as well as errors at run time and information messages.

Hyper-Q Trace Log File The trace log file contains event trace messages. Each line in the trace log file corresponds to a tracer event that is published during the execution of a query.

Hyper-Q System Log File The system log file contains metrics about the operational status of Hyper-Q.

Hyper-Q Memory Allocator Log File The memory allocator log file contains metrics about Erlang memory allocation in Hyper-Q. Datometry can use the information provided in the log file to tune memory allocation to improve performance and reliability.

Archive Log Files to Azure Blob Storage Learn how to archive log files to Azure Blob storage using Hyper-Q Log File Uploader.

Hyper-Q Monitoring and Alerting Using Azure Analytics and Telegraf Data Collector Configuring your Azure environment to collect Hyper-Q log entries and metrics, and provide alerts based on any operational and performance issues, lets you provide effective operations support.