Operations | Monitoring | ITSM | DevOps | Cloud

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.

We’re entering a new era at CloudZero, and we’re coming in hot. This week, we’re not just launching a new feature. We’re taking a major step forward in our mission to make cloud cost efficiency a seamless, engineer-first, business-aligned reality. My team and I are thrilled to introduce CloudZero Optimize, our smartest, most action-oriented optimization solution yet.

AWS and Cloudflare often come up together when teams are building, securing, and scaling web applications. While they originally served different purposes, their offerings now overlap in key areas like content delivery (CloudFront vs. Cloudflare CDN), edge compute (Lambda@Edge vs. Workers), DNS and WAF, and API delivery. In this guide, we’ll explore what each platform does best, when to use one over the other, and see if you can combine both for optimal speed, security, and cost efficiency.

The cloud offers many benefits, including scalability, cost savings, and operational efficiency. But here’s the deal. Organizing, monitoring, and controlling a cloud environment can become complex as workloads, applications, services, and underlying infrastructure grow. Businesses can better control and monitor their cloud infrastructure services, resources, and data using cloud management software.

Global cloud spending will surge past $700 billion this year. Megacaps alone will spend more than $300 billion on AI in 2025, with much more on the way. The innovation potential of the cloud has never been higher, never been more hotly contested, and never come with a higher price tag. In the late 2000s, the cloud reshaped the global economy and enabled life as we know it. Now, in the mid 2020s, AI is poised to do the same.

Over the last few years, more organizations have switched from relying solely on one cloud service provider (CSP) to several. The primary reasons for the change are minimizing dependence on a single CSP, preventing vendor lock-in, and providing greater flexibility. Recent trends include using a mix of cloud providers to take advantage of the cost savings several CSPs offer and using best-of-breed services for different applications, teams, or departments.