Loom for AWS Explained: How the Open-Source Agent Platform Deploys
Loom for AWS is AWS's open-source platform for deploying AI agents on Bedrock AgentCore. We read the architecture diagram to show how it actually works.
Posted inAWS Cloud Computing
3-Tier Web Application Architecture on AWS: A Reference Deployment Explained
A walkthrough of a 3-tier web application architecture on AWS: Route 53, CloudFront, a public ALB, EC2 in private subnets, and RDS Multi-AZ auto failover.
Posted inAWS Data Engineering Technical Blogs
S3 Files Instead of SFTP: When It Works, When It Does Not, and How Data Teams Should Decide
S3 Files can replace SFTP in some internal AWS workflows, but not partner-facing secure file exchange. Here is how data teams should decide.
Posted inAWS Data Engineering Technical Blogs
AWS Transfer Family SFTP: Pricing, Limits, and the Management Case
A management-ready guide to AWS Transfer Family SFTP pricing, limitations, and when data engineering teams should replace traditional SFTP servers.
Posted inAI AWS Technical Blogs
Trusted Remote Execution Explained: AWS Rex for Safer AI Agents
Trusted Remote Execution, or Rex, lets AI agents and humans run scripts safely by checking every system action against a policy before it runs.
Posted inAI AWS Data Engineering
S3 Files for Lambda: a real workspace for serverless AI agents
S3 Files lets Lambda mount S3 buckets as file systems. Learn the architecture, IAM, VPC, agent workflow, and data pipeline trade-offs.
Posted inAI AWS Technical Blogs
AWS MCP Server GA: secure AI agents for AWS teams
AWS MCP Server is now GA. Learn how it gives AI agents secure AWS API access, current AWS docs, IAM guardrails, sandboxed scripts, and audit trails.
Posted inAI Technical Blogs
Perplexity Computer: How It Coordinates 19 AI Models to Execute Entire Workflows for You
Perplexity Computer is a multi-agent AI system that coordinates 19 AI models to autonomously execute complex workflows — research, coding, data tasks and more. Here is how its coordinator-sub-agent architecture works and where it fits for data engineers and enterprise teams.