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Datadog Announces Deep Database Monitoring
Datadog extends database visibility to surface slow performing queries and optimize application performance NEW YORK, Aug. 17, 2021 /PRNewswire/ -- Datadog,
About this update from Datadog, Inc.
[{"type":"text","content":"Datadog extends database visibility to surface slow performing queries and optimize application performance\n\n\n NEW YORK, Aug. 17, 2021 /PRNewswire/ -- Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced the general availability of Database Monitoring (DBM). With insights into query performance and explain plans, as well as automatic correlation of query metrics with application and infrastructure metrics, Database Monitoring provides engineers and database administrators the visibility they need to quickly find and fix application performance issues that arise from slow running database queries. \n\n \n \n \n \n \n \n\n \nDatabase queries are often the root cause of incidents and application performance issues. When applications make unnecessary queries or fail to use indices, they burden the entire database, causing performance degradation for all applications using the database. Databases do not store historical query performance metrics, which makes it extremely difficult to understand the context around an issue and identify trends. This becomes even harder as engineers typically need to dig into each database individually to investigate, which prolongs downtime and exacerbates the impact on the customer experience.\nDatadog Database Monitoring builds on the existing ability to monitor the general health and availability of the database and underlying infrastructure by allowing users to pinpoint the exact queries that impact application performance and user experience. With DBM, users can see the performance of database queries, troubleshoot slow queries with detailed execution breakdowns, and analyze historical trends in query latencies and overhead. This allows organizations to unlock improvements not only in database performance, but also in the performance of the upstream applications, APIs, and microservices that the database underpins.\nDBM users are also able to automatically correlate query performance data with Datadog infrastructure metrics to easily identify resource bottlenecks. This allows engineers to quickly understand whether performance issues are at the database or infrastructure level, without needing to manually export and reconcile information from multiple, disconnected point solutions. Datadog's unified data model makes it easy to search and fil...