Dynatrace Advances Observability and AIOps for Oracle and Microsoft Databases

Software intelligence company Dynatrace has extended its advanced AIOps capabilities for leading database environments, including Oracle and Microsoft SQL. New out-of-the-box extensions enable DevOps teams and DBAs to automatically surface and proactively act on real-time answers about the relationship between their database infrastructure and applications. Dynatrace database observability for Oracle is generally available now.  for additional database platforms will be announced later in 2022.

The capabilities allow DevOps teams and DBAs to proactively resolve issues such as inefficient database queries before they impact service availability, performance, and user experience. Additionally, newly released application program interface (API) endpoints enable development teams to extend their observability-as-code practices to databases, making it easier to proactively provision, scale, and optimize databases to deliver better digital experiences faster, and with greater efficiency. 

Support for Microsoft SQL Server will be generally available within 90 days, and support for additional database platforms will be announced later in 2022.

Building on Dynatrace’s existing database observability capabilities, including auto-detection of databases, as well as analytics detailing their usage and performance, these latest advancements further enhance the Dynatrace platform’s ability to deliver precise answers from an array of data sources, in real time, at scale, and in context. In addition, according to Dynatrace, by reinforcing the platform’s position as a single solution for modern cloud observability, the capabilities also improve cross-team collaboration among DevOps and DBA teams and help them drive better business outcomes, together. 

“Dynatrace dramatically reduces the complexity of databases, which remain central to all modern applications,” said Steve Tack, SVP of product management at Dynatrace. “With this release, we are advancing observability and AIOps for databases by providing a holistic, precise, and real-time view into the impact database health and performance have on applications, user experiences, and business KPIs. This enables DevOps and DBA teams to collaborate more effectively and efficiently to deliver better experiences, faster.” 

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