Operations | Monitoring | ITSM | DevOps | Cloud

Earlier this month, we announced the CloudZero Claude Code Plugin and the CloudZero AI Hub — the first step toward putting your cloud cost data directly inside the AI tools your team already uses. The feedback from customers was clear. They said engineers and FinOps teams wanted more tools and more ways to get answers from CloudZero without switching context. Today, we’re delivering more.

If you’re building or running AI-powered features in production, you need a clear understanding of inference costs. Get it right, and you can turn your AI investments into profitable growth. As Larry Advey, Director of Cloud Platform and FinOps at CloudZero and a member of the FinOps Foundation Technical Advisory Council, puts it: “AI investments will only continue to grow.

Snowflake is a cloud data platform designed for large-scale analytics, data warehousing, and data processing. It allows teams across an organization to run multiple data workloads on a single platform without managing infrastructure. Snowflake’s architecture is also unique. Compute and storage are completely independent and highly elastic. However, Snowflake’s per-second pricing and elastic compute model make costs highly sensitive to usage.

How financial institutions can escape the "Big Bang" migration trap and keep shipping features the entire time. Every bank executive knows the math. Legacy core systems cost more each year, slow product launches, and widen the gap between what customers expect and what the institution can deliver. Over 50% of banking executives say their current systems can't support long-term digital strategy. The case for modernization is airtight. So why do most hesitate?

Financial institutions are required to prove they can operate safely in the cloud without becoming dependent on a single technology provider. What happens if your cloud provider fails, or you are required to move? The question used to be theoretical. However, since January 2025, it has become a compliance requirement.

Manual compliance work is a hidden drag on delivery speed for fintechs and regulated institutions. There is a faster path. Companies handling payment data know the cycle: every new feature requires security audits, evidence collection, and control verification before release. The traditional approach to building a compliant stack means taking on every layer yourself.

The cloud is often spoken of as a separate realm where data exists safely away from the messy realities of the physical world. But as the events of March 2026 have reminded us, the cloud has a physical home, and that home is susceptible to the same disruptions as any other infrastructure. Here’s how diversified monitoring across independent data centers can keep visibility intact when cloud services go down.

Kubernetes has revolutionized modern computing infrastructure, offering organizations near-infinite scalability, unparalleled agility in deploying new applications, and enhanced security. However, as enterprise cloud adoption continues to accelerate, that agility often comes with an unintended and costly side effect: skyrocketing cloud bills.

On March 18, Jensen Huang took the stage at NVIDIA’s GTC conference in San Jose for a keynote that ran well over two hours — covering everything from CUDA’s 20-year history to humanoid robots that may one day wander Disneyland. But buried inside the spectacle was a remarkably clear-eyed articulation of the economic forces now bearing down on every enterprise that builds on cloud infrastructure.