Operations | Monitoring | ITSM | DevOps | Cloud

If you've adopted DORA metrics as your standard for measuring DevOps performance, stop us if this hypothetical scenario doesn't sound familiar. You check your DORA dashboard during a lunch break, full of optimism that you’ll get a clear picture of your team’s performance. Instead, you leave with nothing but a sandwich in your stomach and the nagging feeling that you’re focusing too much on the results of the game instead of the people that are playing it.

Cloud gaming is changing the way we play. Instead of buying expensive hardware, players stream games from the cloud, like Netflix for games. This is no longer a futuristic idea, it’s here. Services like NVIDIA GeForce Now, Sony PS Plus, and Xbox Cloud Gaming have shown what’s possible: playing high-end games on low-end devices by streaming all of your favorite games – from indie to AAA – from powerful cloud servers.

In FinOps, rightsizing means adjusting cloud resources (instance types, number of CPUs, amount of memory, storage, databases, containers, and many other configuration parameters) to match actual workload requirements. It’s one of the most powerful levers in the FinOps toolbox, and for good reason. Consider: Average CPU utilization across Kubernetes clusters sits at just 10%, according to Cast AI’s 2025 Kubernetes Cost Benchmark Report.

You wouldn’t buy an industrial dumpster for your kitchen, and you don’t need an EC2 T3 to do an M5d’s job.

You've got Prometheus running in one cluster — maybe a dev environment, a single EKS cluster, or a proof-of-concept setup. The configuration is straightforward: node_exporter on a few EC2 instances, some service discovery for pods, and a single Prometheus server scraping everything. Storage is local, retention is 15 days, and you can keep all the default recording rules without worrying about costs.

Carrier pigeons once flapped through war zones with vital messages. Today? Sensor fusion delivers battlefield intel faster than thought. The fight isn’t just about who has the data, it’s about who moves on it first. Speed wins wars now! Read how it’s changing the game, how deployable command and control (C2) nodes can help, and why network slicing is a key ingredient in building a resilient, high-speed transport network: Carrier Pigeons to Sensor Fusion: Speed Matters in Information.

In a recent survey, Udacity’s team explored the evolving landscape of AI adoption by asking 2000 professionals (including those in the legal sector) if they used AI. Unsurprisingly, over 90% of respondents said they did. More concerning, 72% of managers reported personally paying out of pocket for AI tools to use at work, introducing uncontrolled risk into corporate environments.

AI is reshaping the cost landscape. As a positive person, I’m going to call this change exciting! FinOps teams are integrating AI into cloud platforms and incurring the spend that comes with it. As a FinOps strategist who has helped several companies optimize cloud spend across industries, it became evident that clarity around AI spend unlocks swift, smart decisions. That’s AI … optimized.