Blog
Insights and practical guidance on AI infrastructure, GPU optimization, Kubernetes, and platform engineering.
Building a CI/CD Pipeline with Dagger That Deploys to Kubernetes
A practical guide to building a containerized CI/CD pipeline using Dagger's TypeScript SDK — from local Kind clusters to production EKS with GitHub Actions, AWS CDK, and multi-environment promotion.
Building a Production Feature Flag Service with Claude Code
How we built FlagSignals, a full-stack feature flag platform with A/B testing and billing, using AI-assisted development.
GPU Cost Optimization on Kubernetes: A Practical Guide
Learn how to reduce GPU infrastructure costs by up to 60% with proper Kubernetes scheduling, time-slicing, and right-sizing strategies.
Platform Engineering for AI/ML Teams: Building the Foundation
How platform engineering principles transform AI/ML infrastructure from artisanal setups to scalable, self-service platforms.
FinOps for AI Infrastructure: Beyond Cloud Cost Tags
Traditional FinOps practices fall short for AI workloads. Here's how to build a cost management strategy that accounts for GPU economics.