Notes from production

Blog

Practical articles on AWS Bedrock cost optimization, knowledge graphs, AI infrastructure, and cloud architecture — from the ThinkXL team.

Hetzner vs AWS: The Real Cost Difference in 2026

For a standing 8-vCPU, 16 GB server, AWS charges about $212 per month on demand and Hetzner charges €20.99, or roughly $25. That is a factor of nine, and it is not a rounding error. The gap is also no

Leaving AWS for Hetzner: What You Have to Rebuild

Moving from AWS to Hetzner keeps compute, block storage, private networking, load balancers, DNS and object storage, and replaces the managed database, the managed Kubernetes control plane, IAM, Cloud

Bedrock Agents vs AgentCore: What to Use Now

Updated 2 September 2026: Amazon Bedrock Agents Classic moved to maintenance mode in June 2026. This post has been rewritten around the options that are actually available now. **Amazon Bedrock Age

What Is Amazon Bedrock AgentCore? (And When to Use It)

Amazon Bedrock AgentCore is a managed platform for deploying and operating AI agents you've already built — in any framework, with any model — without managing the runtime, memory, identity, or observ

Model Evals: How to Know If You Can Use a Cheaper Model

An eval, in the AI FinOps context, is a structured comparison: run a representative sample of real production inputs through your current model and a cheaper candidate, score both against a defined qu

What Is AI FinOps?

AI FinOps is the practice of making AI workload costs visible, attributable, and optimizable — applied to the specific economics of model inference, where the unit of cost is the token, not the instan