bedrock

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

Deploying Engineering Resource Management Knowledge Graph on AWS

Resource planning in engineering orgs is a multi-hop problem. The data is there — skills, project history, availability — it's just stored in flat tables that you need to join on demand. This post wal

AWS Bedrock vs SageMaker: How to Pick the Right One

If you're building an AI product on AWS, you'll hit this question early: Bedrock or SageMaker? The short answer is that they solve different problems, and most startups only need one. What Each Se

AWS Bedrock Cost Structure: What You're Actually Paying For

AWS Bedrock looks simple from the outside — call an API, get a response, pay per token. The reality is that a production Bedrock setup has several distinct cost layers, and they behave very differentl

Why Your AWS Bedrock Bill Makes No Sense (And How to Fix It)

When a startup says "our AWS bill is too high," the conversation almost always starts at the aggregate level — total monthly spend, a few large services, maybe a spike someone noticed. That's not wher