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The latest News and Information on Cloud monitoring, security and related technologies.

The AI-nigma: FinOps Is Maturing - So Why Is Cloud Efficiency Falling?

Q: What do you call it when FinOps maturity surges but cloud efficiency plummets? A: An AI-nigma. I don’t claim to be a comedian. But I do claim to be Fred FinOps, so the paradoxical findings from CloudZero’s new report titled FinOps in the AI Era: A Critical Recalibration, created in partnership with B2B SaaS benchmarking firm Benchmarkit, had me scratching my head. The good news: These numbers tell a story of cloud cost maturity and control. But then there’s the bad news.

Sustainable AI Investment: A Systems Thinking Approach

According to our new report, FinOps in the AI Era: A Critical Recalibration, 40% of companies now spend $10M or more annually on AI. Most can’t tell you if it’s working. That’s not a budgeting problem. It’s a systems problem. And Donella Meadows wrote the playbook for understanding it.

Migration blueprint for moving your application without rewriting

The decision to migrate a production application is rarely about the destination. It is about the friction of the journey. For most engineering leaders, the word "migration" is a synonym for "refactor." The industry has conditioned us to assume that moving to a modern cloud platform requires throwing away years of stable configuration, learning a new proprietary DSL, and rewriting core application logic to fit a specific container or serverless model.

Why Upsun is the multi-cloud PaaS technical leaders are choosing in 2026

In a recent technical evaluation by Journal du Net (JDN), Upsun (formerly Platform.sh) was recognized for its ability to "pull ahead" (tire son épingle du jeu) in a fiercely competitive market dominated by cloud giants and specialized pure players. While hyperscalers offer raw power, Upsun’s strategic fusion of enterprise reliability and AI-ready agility has redefined expectations for modern PaaS.

Dashboarding Azure: SquaredUp vs Grafana

If you’re looking for a dashboarding solution today, chances are you’ve looked at Grafana or SquaredUp — or both. Grafana is a popular open source dashboarding tool with on-prem and cloud variants, while SquaredUp is the SaaS, cloud-based unified dashboarding solution. Both offer a comprehensive list of data sources that they can plug into and build dashboards. As such, they both also offer an integration with Azure - which is the focus of our discussion today.
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From cloud costs to cloud value: The role of performance analytics in increasing ROI

Many cloud providers offer services that scale with usage. However, unanticipated overutilization of compute instances, serverless functions, or managed databases can quickly drive up costs. Managing these resources effectively is crucial for keeping cloud spending predictable.

Perspectives from the Edge: Data Sovereignty with KPMG

Data sovereignty isn’t a checkbox – it’s now a board-level priority. Data sovereignty is everywhere right now, but for many organisations, it still feels abstract. In this first episode of Perspectives from the Edge, Assad Noori, Head of Digital Infrastructure Advisory for the UK at KPMG, speaks with Pulsant's Wendy Shearer, about why sovereignty has become a board-level issue, how AI and hybrid infrastructure are reshaping long-held assumptions, and why decisions about where data lives, moves, and is accessed now carry far wider implications than most organisations expect.

Why my Azure bill keeps spiking (and how to fix it)

Noticed a sudden spike in your Azure bill? Unexpected Azure cost increases are often caused by hidden usage, overprovisioned resources, scaling changes, or limited cost visibility. In this video, we explain why Azure costs spike, how to identify Azure cost anomalies early, and what steps you can take to prevent budget surprises. Take control of your Azure spend with smarter, proactive cost management.

When ConfigMaps Hit Limits: Migrating to CRDs

Over the past few years, Kubex has evolved from a cloud optimization product into a Kubernetes-centric solution, shifting its focus from cost and waste visibility to fully automated resource optimization. As that evolution happened, one of the earliest design decisions we had made began to show its limits: how the product was configured.