Operations | Monitoring | ITSM | DevOps | Cloud

The numbers from the 2026 State of the Database Landscape: AI Edition are striking. 99% percent of respondents using AI report at least one measurable benefit for their database work. Automation is up, performance is improving, and three-quarters report significant cost savings. By almost any measure, AI is delivering. However, sitting alongside that near-universal positivity in the same dataset, security and privacy concerns have climbed to 64%. Regulatory compliance anxiety has risen to 40%.

This set of Redgate Monitor updates brings new AI-powered tooling into how teams work with their estate, alongside expanded coverage for Google Cloud SQL and Contained Availability Groups. Whether you're looking to get faster, insightful answers, plug Monitor into your own AI stack, extend monitoring to a new cloud platform, or keep job visibility intact through a failover, there's something here for you.

“Deployment stress doesn’t just come from high-profile public outages. It often starts much earlier, when a fear of failure seeps into team culture.” Rob Richardson, Software Craftsman Rob certainly knows the stress and embarrassment of public deployment failures. "But overall" he reflects, "I’ve had more stress in my career from internal failures.

This month brings a batch of practical Flyway Desktop and GitHub Actions improvements, a closer look at what auditable database change management means under DORA, and some news we're proud of: Redgate Flyway has been named a Leader in the latest G2 report. Here's the round-up.

This article examines DORA's requirements for database change management and explains how Redgate Flyway Enterprise addresses them. The EU's Digital Operational Resilience Act (DORA) came into full effect in January 2025. It is designed to strengthen the ability of financial institutions to withstand operational disruption, whether caused by technology failures, data corruption, human error, or a cyberattack.

Kellyn Gorman is a Database and AI Advocate and Engineer at Redgate She's the previous director of Data and AI at Silk, and the Oracle SME in Azure at Microsoft. With a robust background in cloud technology and a passion for promoting its merits and potential, I am thrilled to spearhead conversations and actions that help shape the future of this industry. Kellyn has authored numerous technical books, white papers and solution repositories in GitHub on database, AI and engineering topics.

It's 7am. An alert fired overnight. You open your monitoring solution, navigate to the alert, cross-reference the waits, check the query plans. Twenty minutes later: it should not have fired. You knew that before you started, but you had to check anyways. The feeling of being overwhelmed by alerts is real. And so is the cost. Thresholds set once and forgotten, firing on patterns that have been normal for months. The inbox fills. DBAs learn to ignore most alerts. The workaround becomes the workflow.