Insights
Engineering notes on infrastructure that matters.
What Is Platform Engineering?
Platform engineering treats infrastructure as an internal product. Here is what that means in practice — and what it doesn't.
ReadInternal Developer Platforms: What Engineering Teams Actually Need
Most IDP initiatives start with a portal. The successful ones start with the paths behind it.
ReadKubernetes Cost Optimization
Requests, limits, bin-packing and autoscaling: where Kubernetes cost actually hides.
ReadBuilding Production-Ready AI Infrastructure
Training and inference place very different demands on infrastructure. A practical view of what production-ready means.
ReadKubernetes for AI and ML Workloads
When Kubernetes is the right substrate for AI workloads, and what you need to add to make it work.
ReadGPU Infrastructure and Scheduling
Gang scheduling, queues, quotas and topology: making expensive accelerators actually get used.
ReadMLOps: From Notebook to Production
The steps between a working notebook and a reliable production model — and how to automate them.
ReadSLOs vs SLIs vs SLAs
Three acronyms that are often used interchangeably. They shouldn't be.
ReadError Budgets Explained
How error budgets turn reliability data into release and prioritization decisions.
ReadGitOps for Production Kubernetes
Declarative delivery, drift detection and auditable change for production clusters.
ReadTerraform vs Manual Infrastructure
Why click-ops becomes a liability, and how to bring existing infrastructure under code.
ReadCloud Cost Optimization for Engineering Teams
Cost is an engineering metric. A practical approach to visibility, ownership and optimization.
ReadLet's solve your infrastructure problem.
Tell us what you're building and where infrastructure is getting in the way. You'll talk directly to a senior engineer.