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

Code Optimization: The Cloud Always Collects Its $2,000 Tuition Fee

We hear a lot of war stories from the teams we work with. Horror stories about cloud bills, surprise overages, and the infrastructure decisions that seemed perfectly reasonable at the time. This one comes from Erik Dasque, CTO at Allure Security. It involves a junior developer, a Kubernetes CronJob, and a recurring bill that, if not caught, would have happened on a yearly basis.

5 AI And Cloud Cost Problems That Are Now Everyone's Problem

Not long ago, cloud cost was an engineering problem. FinOps teams owned it, finance leaned in occasionally, and everyone else stayed out of it. Now, that’s changed. AI changed who has skin in the game. CFOs get asked about it in board meetings. CEOs field questions on earnings calls. The audience for cloud cost management has exploded — and that means the conversation CloudZero is built to enable isn’t only a technical one, it’s a business one.

Cost Optimization in Action: How We Cut Amazon SQS Costs by 87%

JC, the Director of Software Engineering, Cloud at LogicMonitor, shares how Cost Optimization enabled his team to shift to Cost-Intelligent Observability and tackle an unexpected and growing cloud bill. As engineers, we live and breathe performance. We obsess over latency, reliability, and uptime, the hallmarks of a healthy system. But there’s another metric that’s becoming just as critical: cost.

AWS App Runner: How It Works, Pricing, And Best Practices For Cost Optimization Today

Back in May of 2021, containers had already won. Kubernetes adoption was surging. ECS and EKS were powerful. But for many teams, deploying a simple containerized web service still meant stitching together clusters, networking rules, scaling policies, load balancers, IAM roles, and CI/CD pipelines. It felt heavier than it should. Developers no longer wanted more orchestration power. They wanted less operational drag.

Becoming an Azure Expert MSP

Recently, Wortell achieved the Microsoft Azure Expert MSP designation, a milestone that places them among a select group of managed service providers recognized for their Azure expertise and operational maturity. In this webinar, Alex Tilgenkamp (Azure Cloud Architect at Wortell) shares insights into what it takes to achieve this designation and what it means for organizations building and scaling their Azure managed services practice.

Install Kubernetes Cost Optimization: How to Get Started with Pepperdata

To watch the full walkthrough video on the Pepperdata self-service install, click the link here. Many organizations struggle to efficiently manage their cloud costs, and that arises from difficulties in managing Kubernetes resources. Of the $419 billion spent on cloud infrastructure in 2025 (Synergy Research Group), Flexera estimates that 27% of all of cloud spend is wasted due to overprovisioned resources.

GreenOps in Practice: What It Means and How to Get Ready for 2026

In this informational webinar, Freddie Booth, FinOps Consultant at Capgemini Invent, explains what GreenOps means in the context of modern cloud operations. You’ll learn why GreenOps is gaining attention across organizations using Azure, how it connects cost management with sustainability, and what steps teams can take today to start preparing for 2026. The session focuses on practical ways to improve cloud efficiency, reduce unnecessary Azure usage, and align FinOps practices with emerging sustainability goals.

Cloud Observability Is Broken - Hybrid Operations Need a New Intelligence Model

Cloud adoption was supposed to simplify operations. Infrastructure would become programmable, scalability would become elastic, and distributed architectures would enable resilience at global scale. In practice, cloud has delivered extraordinary flexibility, but it has also introduced a level of operational complexity that traditional observability approaches were never designed to handle.

Why mid-market IT teams lose control as dev velocity increases

At a certain point, faster delivery stops feeling like progress and starts feeling like risk. When engineering teams scale from 10 to 50+ developers, the volume of infrastructure changes, database schemas, environment variables, and networking rules, no longer grows linearly. It scales exponentially. This is the scaling inflection point where manual governance breaks.