Operations | Monitoring | ITSM | DevOps | Cloud

When I was invited to join one of our customer’s end-of-year team wrap-up sessions, it came as no surprise when the meeting opened with a familiar refrain: “Next year will be different. Next year, we’ll get ahead of the noise. Next year, tickets won’t pile up while we’re still triaging yesterday’s issues.

Six years of Qovery, and the philosophy behind every pivot.

Virtual machines often represent the largest line item in a cloud bill. And for Google Cloud users, the Google Compute Engine (GCE) accounts for a large share of overall spend. GCE offers rich flexibility: you can choose specific machine types, scale up or down instantly, and match compute to load. But understanding how the pricing works is critical before you can unlock full value. On the surface, GCE looks simple. You pay for vCPU, memory, storage, and network.

A mid-sized e-commerce company needed a production-ready, multi-region web platform deployed on Azure, and they needed it fast. Their infra team was at capacity, and the deadline was two weeks. Using Agentic InfraOps, I handed the job to AI agents: from requirements gathering to Bicep deployment and validation. The result: fully documented, compliant infrastructure built in 13 hours, with 92% alignment to the Azure Well-Architected Framework and 85% time savings.

How about ending this year on a major note? Enter dbForge 2025.3, our new release that covers the entire dbForge product line and brings lots of useful stuff to the table. This includes up-to-date connectivity options, a handful of UI/UX improvements, a wealth of newly supported syntax constructs, and a few more enhancements to make sure you start 2026 with your productivity at an all-time high. Without further ado, let’s take a look!

This blog post is based on a live presentation by Guillaume at a SymfonyCon 2023 on deploying applications with the Upsun platform-as-a-service. We utilized AI tools for transcription and to enhance the structure and clarity of the content. If you still use File Transfer Protocol (FTP) for deployment, this post is for you.

Legacy monitoring creates dangerous visibility gaps in the accelerated enterprise DevOps landscape, where release cycles count in hours, not weeks. For teams managing hundreds of microservices, complex cloud-native architectures, and global user bases, basic synthetic monitoring tools simply cannot scale. The top synthetic monitoring solutions for enterprise DevOps must function not as mere observability tools, but as proactive, integrated safety nets engineered for scale, security, and precision.