Datadog extends monitoring for Microsoft SQL Server and Microsoft Azure database platforms

Extended help provides visibility into query-level metrics and detailed disclosure plans so all Microsoft customers can reap the benefits of database monitoring

NEW YORK, August 16, 2022 /PRNewswire/ — canine informationSecurity and Monitoring Platform for Cloud Functions, Inc. (NASDAQ: DDOG) has now introduced extended monitoring for Microsoft SQL Server and Microsoft Azure database platforms. Mainly based on ad Datadog Database Monitoring product, which launched in August last year..

With this extended help, database engineers and managers can quickly identify and fix database efficiency issues such as expensive and slow queries, bad indexes in SQL Server or Azure databases. and the bottlenecks of their functions.

“We launched Database Monitoring last year because we wanted to help our customers reduce database prices, manage inefficiencies, and improve collaboration between engineers and database managers,” he said. -he declares. Omri Sas, Product Supervisor of the Utility Efficiency Monitoring group at Datadog. “By including support for SQL Server and Azure database vendors, Microsoft customers can better achieve these goals and discover and implement specific database enhancements, while saving time on communication and bringing knowledge together.”

“Microsoft Azure SQL Database and SQL Managed Occasion are fully managed database providers that include built-in security controls, automated maintenance, and are constantly updated,” he said. Ramnik GulatiSenior Director, Product Advertising and Marketing, Information and Synthetic Intelligence at Microsoft. “The extended help of the Datadog Database Monitoring product further strengthens this collaboration by providing Microsoft customers with deep insights into managed and self-hosted SQL Server, PostgreSQL and MySQL databases, enabling them to build and scale workloads. work with confidence.”

Datadog Database Monitoring for Microsoft SQL Server and Azure database platforms contains the following options:

  • Invaluable Question Measures: View metrics such as common latency, full execution time, and variety of rows queried to determine problematic queries and use historical queries effectiveness information to monitor long-term patterns.
  • Clarify plan evaluation: Visualize the variations between a number of disclosure plans for particular people’s queries to seamlessly transition from description plans to related metrics to determine hotspots and understand how inefficiencies impact efficiency.
  • Central question, database and infrastructure metrics: Collectively view and monitor query-level and host-level metrics to better understand the impact of payload resource constraints on database efficiency.

Database monitoring is now generally available to Microsoft customers using SQL Server or Azure Database platforms. To investigate further, please visit:

About Datadog

Datadog is the monitoring and security platform for cloud functions. Our SaaS platform integrates and automates infrastructure monitoring, software efficiency monitoring, and log administration to provide unified, real-time observability of our customers’ full expertise stack. Datadog is used by organizations of all sizes and in a variety of industries to drive digital transformation and cloud transition, enable collaboration across improvement, operations, security and business groups, accelerate time to market, shorten decision making time, and safe functions. and infrastructure, perceive consumer behavior and monitor key business metrics.

forward-looking statements

This press release may include certain “forward-looking statements” within the meaning of Part 27A of the Securities Act of 1933 or Part 21E of the Securities Act of 1934 and Part 21E of the Securities Alternate Act of 1934. recent product benefits and options . These forward-looking statements reflect our current beliefs about our plans, intentions, expectations, methods and expectations primarily based on the knowledge we currently have and the assumptions we have made. Specific results may differ materially from those disclosed in forward-looking statements and are subject to a wide range of assumptions, uncertainties, hazards and past events by our management, as well as the hazards detailed in the “Threat Elements and elsewhere in our Headlines. and Alternative Fee Filings and Studies, and Type 10-Q Quarterly Report Submitted to the Securities and Alternate Fee August 8, 2022, in addition to future filings and studies by us. Other than as required by law, we assume no duty or obligation to supersede any forward-looking statements contained in this release for new information, future events, changes in expectations or otherwise.

Maria H. Underwood