Platforming The Future
As a seasoned technology leader with a passion for technology, I'm excited to share my insights on industry trends, best practices, and emerging technologies. Join me as I explore the latest developments in platform engineering, cloud computing, devops, agile methodologies, artificial intelligence and more. My blog is a mix of technical and analog life observations. I do not have a regular posting cadence, but I do try to keep this feed fairly current.
The EU AI Act represents a turning point in how AI will be governed globally. Unlike past approaches that focused on voluntar...
AI is transforming industries, economies, and societies at an unprecedented pace. Yet as AI systems become more powerful and...
A technical deep dive into Karpenter for AWS EKS. Move from static node groups to workload-driven provisioning while avoiding common pitfalls.
Kubernetes scaling layers, comparing Cluster Autoscaler with Karpenter and evaluating how In-Place Pod Resize improves workload management in version 1.35.
Discover how I am boosting site traffic and quality through AI-driven content, Grav CMS SEO enhancements, and modern theme updates for a better reader experience.
Learn how to install and configure Cilium for Kubernetes. Explore eBPF-powered networking, Hubble observability, and identity-based security.
Practical Kubernetes shift-down examples: Implement zero-trust with Cilium, automate deployments with Argo CD, and gain sidecar-less observability with Hubble.
Stop starting from scratch. I vibe coded with Google Gemini to build a Grav CMS plugin. Check out the prompt and process behind my new Upcoming Posts widget.
LM Studio 0.4.0 is here! Learn about the new background daemon, parallel inference requests, and enhanced CLI tools for local AI development and automation.
Shifting down in platform engineering reduces developer burden by moving complexity into the platform layer. This strategy enables organizational scale without burnout.
AI is more than just LLMs. Explore the full ecosystem of AI models, including SLMs, LAMs, LQMs, and World Models, and learn how they power modern intelligent systems.
Are nanoservices right for your project? Weigh the benefits of lightweight, atomic functions against the overhead of increased latency and deployment complexity.
