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

Cloud Sovereignty: Location, Access, and Jurisdiction

Cloud residency has moved from a technical preference to a board-level control question, as organisations are being asked to evidence who can access data, under which jurisdictions, and what happens when something goes wrong across borders. A Gartner survey of CIOs and IT leaders in Western Europe found that 61% expect geopolitical factors to increase their reliance on local or regional cloud providers, while also predicting that by 2030, more than 75% of enterprises outside the US will have a digital sovereignty strategy.

The SaaS Paradox: Why Companies Must Spend More On AI To Survive

At SaaS Metrics Palooza 2025, CloudZero CEO Phil Pergola delivered a keynote on the software industry’s most pressing question: can SaaS survive the AI revolution, or will AI rewrite the SaaS playbook outright? Phil’s answer wasn’t doom and gloom, but he didn’t sugarcoat the challenges. “Churn rates are up,” he told moderator Ray Rike of Benchmarkit on Oct. 9, 2025. “The payback from a customer acquisition cost perspective is taking longer.

How to Harden Ubuntu SSH: From static keys to cloud identity

30 years after its introduction, Secure Shell (SSH) remains the ubiquitous gateway for administration, making it a primary target for brute force attacks and lateral movement within enterprise environments. For system administrators and security architects operating under the weight of regulatory frameworks like SOC2, HIPAA, and PCI-DSS, default SSH configurations are an “open door” that represents an unacceptable risk.

AZ-500 and DP-203 Certification Path for Microsoft Azure Security and Data Engineering Careers

Microsoft Azure has become one of the leading cloud platforms in the world, powering businesses of all sizes. As organizations continue to migrate to cloud infrastructure, the demand for certified Azure professionals is increasing rapidly. Among the most valuable certifications in this ecosystem are AZ-500 (Azure Security Engineer Associate) and DP-203 (Azure Data Engineer Associate).

Mastering Microsoft Azure Certification Preparation with Reliable Study Resources

The demand for cloud computing professionals has surged dramatically in recent years, and Microsoft Azure stands out as one of the leading cloud platforms globally. Whether you are a beginner stepping into the IT world or an experienced professional aiming to validate your skills, Azure certifications like AZ-900 and AZ-500 play a crucial role in enhancing your career prospects. Preparing for these exams requires not only dedication but also access to high-quality study materials and reliable practice resources. This is where platforms like Exam-Labs.com become valuable for candidates seeking structured and effective preparation strategies.

High-Performance Range Queries in PostgreSQL: Overcoming Bottlenecks in AWS Aurora

Short Summary: PostgreSQL can slow down when range queries and frequent data updates rely on the same indexes. This guide shows how to spot the problem and use Devart tools to reduce B-Tree index conflicts, improve query plans, and manage bi-weekly data updates in AWS Aurora.

How Much Does It Cost To Keep Up With The AI Joneses?

I’ve been an engineering leader for over a decade, and I’ve spent most of those years in private Slack groups with other engineering leaders, comparing strategies and kvetching about Kubernetes. Of the hundreds of threads I’ve taken part in, the one that got the most engagement the fastest was a recent one around AI adoption. “Where are you on this continuum?”, it read. “A. You don’t really care how people use AI; B. You push people to use AI; or C.

AI Cost Management: How To Track, Allocate And Optimize AI Spend

AI cost management is the practice of tracking, allocating, and optimizing the cloud infrastructure costs tied to building, running, and scaling AI workloads. It differs from traditional cloud cost optimization because AI infrastructure behaves differently at every layer of the stack. The biggest problem isn’t overspending. It’s that most organizations can’t see where their AI spending is going.