Operations | Monitoring | ITSM | DevOps | Cloud

At CloudZero, we drink deeply of our own champagne. We consider ourselves customer zero, and use our product to its maximum potential, to reduce wasteful spending and improve our unit economics. We even use our software to drive meaningful board discussions (with help from a slide template you can download here).

Microsoft’s recent trials of Co-Pilot Vision are paving the way for Agentic AI, a proactive and context-aware assistant that can enhance productivity by intelligently responding to user needs. By having visibility into what you’re working on, such AI can anticipate tasks, offer relevant suggestions, and reduce the friction of daily workflows. However, history has shown us that AI assistance, if not executed correctly, can become more of a nuisance than an asset.

A benchmark can be interpreted as a standard of comparison used to assess something. In everyday life, for example, when we want to buy a new cellphone and want to know which one is faster, we can see the speed test (benchmark) by measuring how fast the cellphone opens applications or runs games. From there, we can compare which cellphone is better based on the numbers produced.

The amount of traffic handled by AI systems can’t be overstated. Over half of all organizations in India, the UAE, Singapore, and China use AI, and traffic from generative AI sources jumped by 1,200% since July 2024. While demand for AI-powered workloads is steadily increasing overall, traffic to individual AI providers is much more unpredictable. User demand spikes and wanes unexpectedly, but like any service, users expect you to always be available and responsive.

We’re excited to announce Kubesleep, a smart Kubernetes operator developed by SUSE that optimizes cluster efficiency and significantly reduces infrastructure costs. Kubesleep automatically scales workloads based on actual developer activity, intelligently detecting periods of inactivity and scaling down resources to save energy and expenses. Best of all, your clusters smoothly scale back up before developers even notice.

Every engineering leader knows the stress of an upcoming seasonal spike. Whether it’s tax season, open enrollment, or Black Friday, there’s always that moment where someone says, “Are we actually ready?” It’s usually followed by a scramble: auditing services, chasing down owners, updating spreadsheets, running perf tests, checking alerting thresholds, verifying infra configs—much of it manual, fragmented, and slightly different every time. It’s exhausting.

In March 2025, Wiz researchers disclosed a set of critical vulnerabilities in the popular ingress-nginx controller for Kubernetes. Collectively referred to as IngressNightmare, these issues (CVE-2025-1097, CVE-2025-1098, CVE-2025-24513, CVE-2025-24514, and CVE-2025-1974) allow unauthenticated attackers to exploit the Ingress admission controller, potentially achieving remote code execution or escalating privileges in the cluster.