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.
A practical guide to the EU AI Act covering risk categories, compliance obligations, and governance strategies needed to build trustworthy and responsible AI systems.
A practical guide to the NIST AI Risk Management Framework (AI RMF), supports ISO 42001 certification, and how technical teams implement trustworthy AI governance.
A technical guide to the NIST AI Risk Management Framework. Learn to manage AI risks, ensure model fairness, and integrate governance into workflows.
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.
Practical Kubernetes shift-down examples: Implement zero-trust with Cilium, automate deployments with Argo CD, and gain sidecar-less observability with Hubble.
Learn how to install and configure Cilium for Kubernetes. Explore eBPF-powered networking, Hubble observability, and identity-based security.
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.
