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Redgate Monitor now surfaces two common SQL Server query issues that usually take manual work to uncover: cancelled or aborted queries and high memory-grant queries. You can now see both in the Query Executions view for each SQL Server instance, directly alongside server activity and alerts, so you can diagnose the cause much faster. Recently, Redgate Monitor introduced the Query Executions feature for SQL Server instances, using Extended Events to capture execution details for individual queries.

Redgate Test Data Manager’s November’s release brings advanced table configuration for large databases and the ability to save connection strings. Two features that make setting up subsets and managing database connections smoother, easier, and faster.

With increasing security threats and stringent compliance requirements, database code quality isn’t just a best practice; it’s a business imperative. Yet many organizations struggle to enforce their database development standards consistently across teams, leading to security vulnerabilities, potential data loss, and lengthy review cycles that slow down software delivery.

There’s growing unease in the database world regarding delivering at speed, raising the question – just how do we keep up with the pace of change without losing control of the things that matter most? AI is rapidly transforming the mechanics of how code is written, reviewed, and optimized which in-turn, increases the risk of destabilization.

The latest release of Redgate Monitor visualizes Oracle wait classes and events across single-instance, multitenant (CDB/PDB), and Data Guard environments. It gives DBAs a clear, high-level view of where database time is spent and makes diagnosing and resolving performance issues in Oracle much simpler.

Learn how Redgate’s Foundry drives AI innovation in database management - from intelligent monitoring and ML-based automation, to smarter SQL optimization. In today’s rapidly evolving database landscape, innovation is essential. With the rise of artificial intelligence (AI), machine learning (ML), and automation, database management is undergoing one of its most significant transformations in decades.