Operations | Monitoring | ITSM | DevOps | Cloud

AI agents are undoubtedly exciting. What company would turn down the opportunity to use an intelligent bot that can make decisions, perform complex tasks, and take on the tedious work employees would normally have to deal with? On paper, AI agents sound like tremendous time and money-savers. The reality, however, is a bit different from the fantasy.

Toward the end of Q1 2022, survey findings reported that Microsoft’s Azure cloud computing services had, for the first time, eclipsed Amazon Web Services (AWS) in some enterprise categories. According to the respondents, more enterprises preferred Azure because it integrates well with the many Microsoft products they already use. A second reason is that Azure is suitable for running on-premises and at the edge. Some organizations also use Microsoft Azure to avoid vendor lock-in to AWS.

Over $44.5 billion in cloud spend goes to waste annually, per the FinOps Foundation. No wonder reducing unnecessary costs is critical to protecting your margins. A logical place to start? Cloud service pricing. Providers like AWS, Azure, and Google Cloud continue to evolve their pricing models. They are offering new discounts, regional rates, and shifting commitments. All to win your business. Yet, a cloud pricing comparison alone doesn’t give you a complete picture.

Running workloads on Google Kubernetes Engine (GKE) delivers impressive scalability and flexibility. Yet, it can also introduce a tricky challenge: tracking GKE costs accurately. Remember, GKE costs rarely scale linearly. Overprovisioned nodes, idle autoscalers, and orphaned workloads can quietly balloon your bill in the background. And while GKE’s native tools offer some visibility, they often miss the full picture.

A decade after launching Reserved Instances (RIs), Amazon Web Services (AWS) introduced Savings Plans as a more flexible alternative to RIs. AWS Savings Plans are not meant to replace Reserved Instances; they are complementary. SPs and RIs have some significant differences that make each better suited to specific uses. For example, while Savings Plans apply to both EC2 and Fargate instances, RIs only apply to EC2 instances. Let’s break down AWS Savings Plans vs.

It’s summertime and things are heating up — in a good way! Forgive us for being a little self-centered this month. Some exciting things are happening at CloudZero: Ditch your towel and flip-flops because it’s time to dive in.

Cloud computing promised speed, scale, and freedom. And it delivered. Engineers can deploy in seconds. Teams can scale globally overnight. But somewhere between all that freedom and speed, control got blurry. Resources piled up. Budgets ballooned. And suddenly, no one could answer the simple question: What are we paying for and why? Cloud resource management is how we reclaim that control, without slowing down.

OpenShift delivers a lot right out of the box. And for many teams running at enterprise scale, it’s exactly what they need. The platform offers a built-in container registry, observability tools, and service mesh support. You also get integrations for GitOps, serverless, and even ML workflows. OpenShift combines powerful orchestration with developer tooling, CI/CD pipelines, and enterprise-grade security. All under one roof.

The cloud gave us agility, but it also introduced fragmentation. And in most companies, no one’s fully owning the sprawl. One team deploys a new service in a hurry. Another forgets to shut down a dev environment. Meanwhile, batch jobs run 24/7 on oversized instances. And no one quite knows why your bill is $10K higher this month. The result? A growing source of cost overruns, performance headaches, and operational inefficiencies. This is exactly why cloud workload management is so crucial.

AI spending continues to accelerate. In 2025, experts project that companies will collectively spend about $644 billion on generative AI alone — a whopping 76.4% increase from 2024. This puts it a mere $79 billion behind the public cloud as a whole, signaling the most seismic interval of new infrastructure investment since the dawn of the public cloud.