Ollama released a new version today with “thinking models” https://ollama.com/blog/thinking

Ok time to move the to do list aside!

curl -fsSL https://ollama.com/install.sh | sh

“Deeper unspoken needs could include reassurance about the time investment—Kubernetes can be overwhelming at first” Whoa! Now I am getting worried :) 

And then it went on a tear that I simply had to stop:

Okay, let's break down why learning Kubernetes (K8s) is generally considered valuable:

1.  **Automation of Complex Tasks:**
    *   It automates the deployment, scaling, and management of containerized applications. This means you don't have to
manually spin up/down containers or manage their complex configurations each time.

2.  **Scalability:**
    *   Kubernetes makes it incredibly easy to deploy microservices-based architectures. You can scale individual services
independently based on demand without needing to worry about the underlying infrastructure details.

3.  **Declarative Management:**
    *   Instead of telling your computer exactly how to perform an action step-by-step, you declare what state you want (e.g.,
"run three replicas of this service"), and Kubernetes ensures that state is maintained automatically. This simplifies complex
operations like rolling updates or rolling back changes.

4.  **High Availability & Self-Healing:**
    *   Kubernetes monitors your containers. If a container crashes, it detects the failure and automatically replaces it by
spinning up another instance on a healthy node (pod anti-affinity rules can help with this). It also handles load balancing so
no single pod gets overwhelmed.

5.  **Service Discovery & Load Balancing:**
    *   Services inside Kubernetes need to find each other. K8s provides an internal DNS for service discovery, making it easy
for one containerized app to discover others automatically without complex networking setup. It can also provide load balancing
across containers or pods easily.

6.  **Declarative Updates & Rollbacks:**
    *   You define your desired state in configuration files (like YAML). Kubernetes takes care of the rest – deploying,
updating, and rolling back if necessary based on configurations like ReplicaSets or Deployments with their revision history.

7.  **Support for Microservices:**
    *   It was built from Google's orchestration technology (Borg) and is widely adopted by companies embracing microservices
architectures. K8s provides tools to manage the complexity of deploying, scaling, and managing many small services.

8.  **Integration with CI/CD Pipelines:**
    *   Kubernetes integrates well with modern development practices like Continuous Integration/Continuous Deployment (CI/CD).
You can automate entire release cycles within K8s or alongside it.

That was strange! It’s alive and thinking!!! :) 

Have a great weekend