Operations | Monitoring | ITSM | DevOps | Cloud

I’m excited to announce a new capability in Redgate Monitor Enterprise: the Sensitive Action Log. As infrastructure becomes more complex, it’s more critical than ever to maintain control over how your monitoring environment is configured and accessed. Whether you’re responding to internal compliance policies, preparing for audits, or simply tightening operational security, it’s key to understand who did what, when.

SQL Server’s filtered index is one of the most effective features for improving query performance and reducing index maintenance. Whether you’re working with big tables that don’t have much data or queries that constantly filter by the same conditions, filtered indexes offer a smart way to focus only on the rows that matter most.

This article introduces the key components of VictoriaMetrics and explains how they work together as part of a complete monitoring system. VictoriaMetrics is a top-tier monitoring solution known for its speed and low-resource consumption. It includes components for monitoring, alerting, data visualization, querying, scraping, incremental backups, and more.

When your MongoDB database slows down, it affects your entire application stack. Performance issues can range from minor inconveniences to major outages, making a solid understanding of MongoDB metrics essential for any DevOps engineer. This guide covers the key performance metrics you need to monitor in MongoDB, how to interpret what you're seeing, and practical steps to resolve common issues.

I’m delighted to share that you can now run Redgate Monitor’s data repository on PostgreSQL with TimescaleDB, achieving dramatically improved performance and scalability at reduced cost.

For DevOps teams managing mission-critical databases, SQL Server observability is a fundamental capability that provides comprehensive insight into database performance and health. Effective observability practices enable teams to identify potential issues before they impact end users and provide the context necessary to resolve problems efficiently. SQL Server observability involves collecting and analyzing metrics, logs, and traces to build a complete picture of database behavior.

Scalable systems thrive on schema clarity—without it, you pay in rework. That’s why 96% of engineers now use visual tools, particularly database diagram tools, to map and manage their databases. Diagramming tools bring structure to complexity. They surface design flaws early, improve collaboration across teams, and turn undocumented systems into shared infrastructure. These advantages are fueling widespread adoption.