Uber is the latest to be won over by Amazon’s AI chips
Uber is expanding its AWS contract to run more of its ride-sharing features on Amazon’s chips. This is a thumb-of-the nose at Oracle and Google.
ai, amazon, aws, enterprise, TC, Uber
aws
Artificial Intelligence, aws, cloud-computing, devops, software-engineering
The Hitchhiker’s Guide to Agentic AI in AWS: Don’t Panic, But Definitely Don’t Let the Agent Deploy…
How one real-world incident became a practical pattern for giving AI agents safe access to databases, application servers, and AWS…Continue reading on Medium »
ai-agent, autonomous, aws, lightsail, openclaw
The Missing Guide: Configuring OpenClaw on AWS Lightsail in Under 30 Minutes
Build a safe, secure, persistent, autonomous personal AI agent with web search, Telegram access, and real-world actionsContinue reading on Towards AI »
ai, Artificial Intelligence, aws, cybersecurity, Security
Security Misconfigurations in Cloud Fintech Deployments – When the Infrastructure Is Running, but…
The cloud did not make software less secure. But it made it significantly easier to deploy insecure software faster, at greater scale…Continue reading on Medium »
Agentic AI, Artificial Intelligence, aws, cybersecurity, DevSecOps, News
Amazon sends AI agents into pen testing and DevOps
Amazon’s latest AI capabilities bring on-demand penetration testing through the AWS Security Agent, alongside the AWS DevOps Agent. “These agents are changing the way we secure and operate software. AWS Security Agent compresses penetration testi…
ai, ai-agent, aws, devops, infrastructure-as-code
How to Build an AI Agent That Actually Understands Your Cloud Infrastructure
Every AI agent tutorial starts the same way: connect an LLM to some tools, send a prompt, get a response. It works in the demo. It falls apart in production.The reason is simple. Most tutorials teach you how to call an AI API. They don’t teach you how …
aws, How To, partnerships, Sagemaker Unified Studio
Legacy data to RAG : Modernise Your Apps with Amazon Sagemaker Unified Studio
A guide to seamlessly transform data sitting in lakes and warehouses for GenAI capable applications