Operations | Monitoring | ITSM | DevOps | Cloud

Cloud adoption has officially crossed a tipping point. In 2026, the conversation is shifting from whether companies are moving to the cloud to how complicated things are getting once they’ve moved. Hybrid architectures, multi-cloud strategies, AI workloads, and rising security pressure are turning “the cloud” into a web of interconnected environments. For IT and network teams, that creates huge opportunity—and plenty of room for chaos if visibility doesn’t keep pace.

For the first time in a decade, humans are the minority on the open web. In 2025, automated traffic officially crossed the Rubicon to account for 51% of all web activity, while generative AI-driven referrals to retail sites surged by a staggering 693% year-over-year. As we move through 2026, these are no longer just "bot" statistics to be handled by a WAF. They represent a fundamental shift in user behavior. The fastest-growing segment of your audience is now agentic.

A real workflow showing how Claude + CloudZero MCP turns plain-English questions into actionable cost intelligence — no dashboards, no tickets, no waiting As Director of Finance and Accounting at a software company, my job can be described simply: Understand what we’re spending, who’s responsible, and whether we can get more efficient. But as anyone who’s had to wrangle AI costs knows, doing so for AI is anything but simple.

If you’re running workloads on Amazon EKS, there’s a good chance you already have some form of network observability in place. VPC Flow Logs have been a staple of AWS networking for years, and AWS has since introduced Container Network Observability, a newer set of capabilities built on Amazon CloudWatch Network Flow Monitor, that adds pod-level visibility and a service map directly in the EKS console.

In case you don't know the back story, in order for me to play with radios and label it "work," I've created a PostgreSQL database running on AWS Aurora. The db is fed from API calls to aprs.fi through Lambda functions on AWS. Some of the DDL & code is mine. Some is from Claude. Neither of us paid much attention to indexing when we were putting things together.

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.

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.

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.

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.