Operations | Monitoring | ITSM | DevOps | Cloud

As organizations increasingly adopt multi-cloud strategies, identifying areas to reduce cloud spend has become highly complex and time consuming. While there are many reasons that organizations choose to run their infrastructure in a multi-cloud environment, many do so to comply with regional data requirements, take advantage of best-of-breed offerings, or avoid vendor lock-in.

It starts like this. You wake up groggily and stumble into the kitchen. The coffee machine is already brewing your favourite blend. But that’s not the surprise. It's the message on your phone: "Coffee beans restocked. $10 paid. Delivery by noon." You didn’t place an order. You didn't lift a finger. Your machine did it for you. Welcome to 2025, where your devices aren't just smart, they're economically independent. These are machine customers (custobots). They negotiate. They pay.

Your Mac’s GPU is a massively parallel processor that handles anything from animating the UI to heavy lifting in video editors, 3D tools, games, and on-device machine learning models. Think Final Cut Pro exports, Blender renders, Stable Diffusion, WebGPU demos, or shader builds in Xcode - which are all tasks that require heavy GPU.

A couple months ago, we sent out a survey to all our users asking what they like about Oh Dear, how they use it, and how we could improve our service. One of the things that was asked a lot was ping and TCP port monitoring. The past few months we worked hard to add this kind of monitoring to our service. And while building it, we touched upon other parts of our service and improved lots of little things. And I'm proud to share that we now have shipped it all! Let's go through it!