Podcasts are a good first pass to get oriented on a topic. I can convert some of my technical reading goals into podcasts then I can grok them better when I decide to go deeper into it.
Learning from Britain's missteps doesn't mean looking down on them.
If you write Java, Python, Node.js, or .NET, you have been able to add OpenTelemetry to an application without editing its code for years: attach an agent at startup and telemetry starts flowing. Go has been the exception. A Go program compiles to a single static binary with no runtime to hook into at startup, so Go developers have had to instrument by hand or reach for an out-of-process eBPF agent.
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This article was written by a human, for humans. Many places don’t respect privacy laws, in certain situations you may be forced to unencrypt …
I'm doing robotics work on an M4 MacBook Air. I have a task to simulate and automate a robot, but I'm running into major performance issues and crashes using Gazebo inside an Ubuntu VM via UTM. The bot renders fine at first, but whenever I try loading complex world terrains, Gazebo completely crashes. It seems like the virtualized GPU/hardware constraints are killing it. Is there a more efficient setup or workflow to run robotics simulations natively or smoothly on Apple Silicon? Would love to hear how other Mac users handle ROS/Gazebo! submitted by /u/Risheyyy [link] [Kommentare]
