cloud-architecture

LLM Inference on AWS: Every Option Explained

AWS gives you two fundamentally different ways to run an LLM -SageMaker, you provision and pay for the infrastructure that serves the model. Bedrock, AWS already runs the model, and you just call

S3 Vectors vs OpenSearch Serverless for RAG on AWS

This is a choice you only face on the customer-managed path — if you have not ruled out the fully managed option yet, [building RAG on your S3 documents with Bedrock](/blog/rag-on-s3-documents-with-be

Cheaper Alternatives to AWS in 2026: What Each One Cuts

There is no single cheapest alternative to AWS, because AWS bills are not shaped the same way. A bill dominated by EC2 has a different answer from one dominated by egress, RDS or GPU-hours. And severa

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

RAG, GraphRAG, and Knowledge Graphs: What's Actually Different

LLMs are stateless. They don't know your documents, your internal data, or what changed last week. They're only as good as what you put in front of them. This gave rise to what's now called context en

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

What Is a Knowledge Graph?

A knowledge graph stores information as entities and the relationships between them — not rows and columns, but a web of connected facts. The Idea Is Simple Three building blocks:Nodes —

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

Cloud architecture