Operations | Monitoring | ITSM | DevOps | Cloud

Testing database-driven applications is notoriously painful. If your app depends on MySQL, you’ve probably spent hours setting up local databases, running migrations, loading data, and then cleaning everything up just to rerun your tests. This repetitive cycle slows development, breaks pipelines, and introduces inconsistency between local and production environments.

Should you use UUIDs as the primary key in your database? You might have heard they are terrible for performance, which is often true for traditional UUIDv4. However, the introduction of UUIDv7 fixes many of the previous issues of UUIDv4. Let’s therefore explore what they are and why it might be a good idea to use them.

The third quarter of 2025 has been a busy one for VictoriaMetrics Cloud! We expanded globally, polished the user experience, introduced new enterprise debugging tools, and delivered smarter alerts to help users make the most of their observability data. If you missed our Quarterly Live Update, don’t worry! You can watch the full recording here: Let’s recap what’s new in VictoriaMetrics Cloud this quarter.

This is part 2 of a 3-part series on SQL performance improvements. A few weeks ago, we massively improved the performance of the dashboard & website by optimizing some of our SQL queries. In this post, we'll dive deeper into the optimisations of queries with indexes.

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.

NHibernate vs ADO.NET is the classic clash in.NET development: raw SQL muscle on one side, high-level abstraction on the other. One promises speed and precision, the other productivity and cleaner code. For most.NET teams, the real challenge here is determining which approach best suits their project’s scale, timeline, and goals. That choice directly influences database efficiency, developer productivity, and long-term stability.

For any growing business, there comes a point where the tools that once worked perfectly begin to show their limits. This is especially true for monitoring infrastructure. As your user base, services, and data volumes expand, the pressure on your monitoring stack intensifies. For web hosting leader DreamHost, with over 1.5 million websites to manage, their existing open-source solutions simply couldn’t keep up.

Data integrity in a database is the backbone of accurate decision-making, regulatory compliance, and organizational security. Without it, even the most advanced analytics or AI models are built on shaky ground. Imagine going through your database and noticing that the numbers in your sales report are inconsistent, financial data tells three different stories, and some customer records are missing. This mismatch can compromise business decisions and lead to missed opportunities.

Flyway provides a lot of flexibility for releasing database changes in a safe and repeatable manner. Earlier this year, we added the ability to automate state-based deployments. This means the structure of the database is defined in version control and Flyway handles updating a target database to match it. The Flyway comparison engine does all the hard work of identifying what’s different and creating a script that will run on the target database to alter it so it matches the latest state.