Operations | Monitoring | ITSM | DevOps | Cloud

Salt Lake City, Utah, 13th November 2024 – Today we’re delighted to announce the GA release of our innovative logging solution - VictoriaLogs. Our easy-to-use, open source log management solution combines a powerful query language for easy log searching with minimal resource requirements. It’s perfect for managing and analyzing large volumes of log data, especially in containerised environments such as Kubernetes.

With this blog post, we continue our quarterly “What’s New” series to inform a broader audience about the latest features and improvements made to VictoriaMetrics Anomaly Detection (or simply vmanomaly). This post covers Q3'24 progress along with early Q4 to accommodate a slight shift in the publishing schedule — why not take advantage of it? Stay tuned for upcoming content on anomaly detection.

The importance of regular database backup and recovery can be neither underestimated nor ignored. And since your data is subject to modification, the primary task is to ensure its safety and mitigate the risks of data loss. That’s why we have database backups at hand—and in this article, we’ll guide you through main types and key concepts of backups as related to SQL Server databases.

When it comes to building interactive, scalable, and data-driven websites and applications, you may consider a combination of PHP with MySQL. Integrating PHP as a server-side language with MySQL as a relational database allows for dynamic content generation, user authentication, form handling, and easier data management. In the article, we’ll explore several methods to connect PHP with a MySQL database, including the mysqli and PDO (PHP Data Objects) extensions.

Adopting Blazor best practices is the only way to get your ASP.NET Core applications on the right track. Rather than juggling between C# for the backend logics and JavaScript for the frontend interactions, you can use Blazor to build interactive web apps using only C#. It makes your development process easier, reduces context switching, and lets you create a more cohesive codebase.

We’re excited to reveal our latest effort towards simplifying and accelerating the test data management process: AI Synthetic Data Generation, part of Redgate Test Data Manager. Officially introduced in a session at the recent PASS Data Community Summit, the capability uses machine learning to rapidly generate realistic yet entirely synthetic data – all while maintaining data integrity and with data privacy built-in as priority.