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. I do not have a regular posting cadence, but I do try to keep this feed fairly current.
Get the latest news on NanoClaw, PicoClaw, ZeroClaw, ZeptoClaw, and IronClaw. New capabilities, security updates, direction, adoption, and more.
Secure Kubernetes workloads using SPIFFE/SPIRE. Implement cryptographic identity, mutual TLS, and zero-trust networking for multi-cluster environments.
Master Kubernetes security with Cilium and eBPF. Learn to implement L7 policies, secure Kafka topics, and isolate Postgres databases using a zero-trust model.
Compare NanoClaw, PicoClaw, ZeroClaw, and ZeptoClaw. Explore memory management, resource requirements, and production suitability for local AI.
Building a JSON Resume Grav plugin: Automating resume management by rendering structured data into a dynamic web page with built-in caching and PDF links.
Explore the powerful unique features of ClickHouse, a high-performance columnar database designed for real-time analytics.
Explore the rise of agentic engineering, its origins from vibe coding, key differences, community perceptions, and future applications in AI-driven software development.
A technical guide to the NIST AI Risk Management Framework. Learn to manage AI risks, ensure model fairness, and integrate governance into workflows.
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 practical guide to the EU AI Act covering risk categories, compliance obligations, and governance strategies needed to build trustworthy and responsible AI systems.
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.
