Operations | Monitoring | ITSM | DevOps | Cloud

One kind of data in most relational databases is what we call static data. This is also referred to as lookup data, code data, domain data or even list data. Whatever you like to call it, it’s usually smaller data sets consisting of data that never changes, or changes very slowly. One example might be Canadian postal codes. Another example, and one I’m going to use, is the amateur radio band definitions within a given country.

All the major cloud providers enable users to attach business context to their infrastructure in some way. This process — known as cloud cost allocation — is how companies map spend to the teams, products, or features driving it. Done well, cost allocation fuels smarter business decisions. It connects cloud bills to business value, helping teams not just control spend but also understand unit economics and margins.

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.