Datadog’s Extended Monitoring for Microsoft SQL and Azure

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Sienna Rowley
Sienna Rowley
Sienna is an editor at Cloud Host News. She is an internet enthusiast, always eager to explore the latest trend in the tech space. She is a modest family woman who loves traveling in her free time.

Renowned monitoring and security platform for cloud applications, Datadog has introduced comprehensive monitoring for Microsoft SQL Server and Microsoft Azure database platforms.

Back in August 2021, Datadog launched a database monitoring product. Now, the monitoring platform has enhanced its capability to identify and fix issues with database performance like slow and expensive queries, inaccurate indexes in SQL Server or Azure databases, and bottlenecks in their application.

Datadog’s Group Product Manager of Application Performance Monitoring, Omri Sass, said we launched Database Monitoring last year because we wanted to help our customers reduce database costs, troubleshoot performance inefficiencies, and increase collaboration between engineers and database administrators.

By adding support for SQL Server and Azure database services, Microsoft users can better achieve these goals and discover and implement the right database improvements while saving time communicating and reconciling information.

Talking about Microsoft and Datadog’s collaboration, Mr. Ramnik Gulati said, Microsoft Azure SQL Database and SQL Managed Instance have fully managed database services that feature built-in security controls, and automated maintenance and are always up to date.

The extended support of Datadog’s Database Monitoring product strengthens this collaboration by offering Microsoft customers deep insights into their managed and self-hosted SQL Server, PostgreSQL, and MySQL databases, enabling them to build and scale workloads with confidence.

Datadog’s enhanced offering provides the following features:

  • Valuable Query Metrics: Figuring out any troublesome queries by examining the metrics such as average latency, total execution time, the number of rows searched, and historical query performance data to identify long-term trends.
  • Centralized Query, Database, and Infrastructure Metrics: This feature allows viewing and tracking of host-level metrics along with query-level analytics thereby allowing the admin to better understand how resource limitations impact database performance.
  • Explain Plan Analysis: This feature allows pinpointing problematic areas and smoothly transitioning from the explain plans to associated metrics and doing comparison variations across numerous explain plans for a single query. This feature helps observe how inefficiencies affect performance.

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