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

Shipped: A changelog that keeps up with how fast we ship

When the changelog doesn’t keep pace with the product, two things can happen. One, you keep working around something that was already fixed weeks ago. Or two, a behavior changes, you assume it’s a bug, and you spend an afternoon on triage and a support ticket before learning it was an intentional improvement. CloudZero now ships around 30 improvements a week, a pace driven by the Next Gen Platform and the AI-first approach we’re building for our customers.

The Waiting Game for Data Centre Capacity (And How UK Businesses Can Beat It)

UK data centre occupancy hit 91% in 2024, according to Arizton market data, and new capacity is not arriving fast enough to close the gap. Grid connection wait times for new projects now run between five and 15 years, reports Data Center Dynamics, and Savills has attributed the 11% year-on-year drop in new capacity delivery to power constraints rather than a lack of demand or investment. Rising wholesale energy costs are addingpressure to an already tight market.

What build-versus-buy actually looks like in agentic engineering

Most build-versus-buy debates assume you're choosing once, at the start, and living with it. Agentic engineering doesn't work that way. The decision shows up at every layer of the stack, and the teams getting it right aren't the ones who picked "build" or "buy" as a philosophy. They're the ones who know which layer is which.

Trace AWS Lambda durable functions with Datadog

AWS Lambda durable functions let you build long-running, multi-step workflows for use cases such as payment processing, order fulfillment, and AI workflows with human approval. A single durable execution can pause for a wait or callback, retry failed work, and resume in a fresh Lambda invocation without losing its state. The strong resilience provided by durable executions, however, creates an observability challenge because each invocation produces its own telemetry data.

Shipped: Personalized cost access, powered by SSO

Instead of building a separate role for every team, region, or department, admins can create a single role that automatically personalizes access for each user based on their SSO attributes. Someone moves teams or a new group gets created, and the new access takes effect at their next login with no CloudZero configuration. As AI spend grows, more companies are looking to give teams visibility into their own AI costs without exposing every individual’s usage across the org.

HOA Tech Trends: Managing Communities Faster

Community association leaders face growing administrative demands as modern neighborhood operations become more intricate. Modern technology helps volunteers and board members manage daily tasks with far greater speed and precision. Adopting tailored software reduces manual paperwork and improves operational clarity across the entire neighborhood. Leaders can allocate time toward long range planning instead of spending late evenings chasing routine documents and payment receipts.

Best Azure monitoring tools: Compare the leading solutions

Microsoft Azure has become one of the most widely adopted cloud platforms for running business applications, databases, containers, analytics workloads, and enterprise services. Modern Azure environments now extend far beyond virtual machines, encompassing services such as Azure Kubernetes Service (AKS), Azure SQL Database, Azure Functions, storage accounts, networking services, and serverless applications.

6 Best Cloud Cost Optimization & FinOps Tools in 2026

Compare the top cloud cost optimization and FinOps tools - Vantage, nOps, CloudZero, CloudAware, PointFive, and Qovery - across spend visibility, Kubernetes rightsizing, and migration cost control. Melanie leads content at Qovery. She covers platform engineering trends, Kubernetes operations, FinOps, and the tools that help engineering teams ship faster.

Virtana's Agentic AI

Anomaly Detection Isn’t Agentic AI. Detecting anomalies is table stakes. That’s pattern recognition. Agentic AI is different. It understands dependency chains, explains cause and recommends action. There’s a big gap between: “Something changed.” and “Here’s what broke and what to do next.” If your AI stops at anomaly scoring, you’re still doing the thinking.