Operations | Monitoring | ITSM | DevOps | Cloud

PostgreSQL AI is gaining attention as SQL complexity increases in production environments. It addresses a common problem: extended queries that accumulate joins, nested logic, and edge cases. Without AI assistance, these queries are often harder to write and review, driving 20–40% of developer time into debugging. In practice, these challenges affect PostgreSQL users in different ways.

HubSpot QuickBooks integration is now a core operational requirement as data silos continue to disrupt workflows across 82% of enterprises. It addresses a critical failure point between CRM and accounting, where disconnected systems fragment customer, invoice, and revenue data. In practice, this separation often leads to duplicated customer data, invoice corrections, and revenue reports that lag behind real activity.

Now, we will explore how this foundational strength translates into organizational maturity and lay out the durable operating habits required to bridge the gap between reactive firefighting and strategic performance engineering.

VictoriaMetrics is a fast, cost-efficient, and highly scalable time-series database designed as a drop-in replacement for Prometheus storage. It is widely used for collecting, storing, and querying metrics at scale, while remaining lightweight enough to run as a single binary or container. Because it is fully Prometheus-compatible, VictoriaMetrics supports standard PromQL queries and integrates seamlessly with Grafana.

Redgate Flyway’s January update brings faster drift resolution, AI-powered deployment descriptions, and a look back at everything we shipped in 2025. Plus, we want to hear from you about how you’re managing database changes.

This post covers ~80% of VictoriaLogs concepts and features people ask about most often. For deeper details and full references, see the official VictoriaLogs documentation. Part of a series.

SQL Prompt’s January release brings support for Microsoft Fabric and an exciting new preview feature.

As the new year begins, development teams are looking to build momentum, set clear goals, and establish reliable, scalable processes that will help them deliver value consistently throughout 2026. That’s why many teams are turning to SQL Toolbelt Essentials: a powerful, easy-to-adopt toolkit that helps teams speed up database development, reduce risk, and standardize workflows.

First, I’d like to say how happy and lucky I feel to be working at Redgate on Flyway. I’m one of two Senior Product Managers in Flyway and we’ve been looking for a third to join us. We work alongside the Flyway Group Leadership Team (Group Product Manager, Architect, Lead Designer, and Development Manager) and four amazing engineering teams with embedded designers. We also work with the Product Support, Marketing, Sales, and Customer Success teams.

Teams work on databases across multiple environments (e.g., Development, Test, QA/UAT, Production) and differences can happen in these databases over time. A hot fix applied directly to Production or a quick change applied in Test while troubleshooting are examples of how the schema can diverge from what’s expected. These differences are known as drift and can cause problems with deployments making them unpredictable and harder to troubleshoot.