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So with the maturation of cloud-native apps, 12-factor, Kubernetes, and Docker, we're all about continuous delivery from ideation all the way through to continuous improvement and rounding back to the beginning.
Docker, we're all about continuous delivery from ideation all the way through to continuous improvement and rounding back to the beginning.
So things like Virtual Machine or Virtual Instances with Compute Engine, Managed Kubernetes Clusters with Container Engine, or just kind of Managed Container Deployments or Docker Container Deployments with App Engine.
or Docker container deployments with App Engine.
After that, I'm going to recommend looking into tools like Olama or like Docker model runner.
After that, I'm going to recommend looking into tools like Ollama or like Docker Model Runner.
Is that Docker Shih Tzu?
And even if you isolate it with something like Docker, your machine would need to be on and awake 24/7 for your agents to work.
And even if you isolate it with something like Docker, your machine would need to be on and awake 247 for your agents to work.
We could also do that with Docker.
We could also do that with Docker.
I've been swearing like a flipping Docker.
I've been swearing like a flipping docker.
And just kind of navigating how to do this safely in a way that scales across the different kinds of code bases people have, because not everyone runs their code in a Docker container, was pretty tricky.
And just kinda navigating how to do this safely in a way that, that scales across the different kinds of code bases people have 'cause not everyone runs their code in a Docker container, um, was, was pretty tricky.
I'm going to do some CPU-related stuff, I'm going to do some memory-related stuff, Docker, virtual machines here, I got Windows on there, I got Linux on there,
Docker, virtual machines here.
Docker is the go to tool for this.
Spend about 3 to 4 weeks getting comfortable with docker.