Kevin Brown

Azure-based multi-agent system that discovers, validates, and publishes new Nemotron resources daily. Uses scheduled automation, containers, search, and AI services to maintain an awesome list.

Builds secure, isolated Docker sandboxes on GCP using workers, functions, and triggers. Combines execution, orchestration, image storage, and security monitoring.

GCP architecture for building and serving AI agents with Vertex AI Agent Builder. It combines API access, search, storage, security, and serverless operations for agent workflows.

OCI architecture for building and serving AI agents with Oracle AI Agent Studio. Includes secure networking, APIs, functions, generative AI, storage, logging, and Autonomous Database.

AWS architecture for a homesharing app with listings, search, applications, messaging, reviews, saved rooms, and renter education badges. Uses ALB/EC2, API/Lambda, RDS/DynamoDB, S3, and OpenSearch.

A scalable, event-driven e-commerce architecture built entirely on AWS serverless services. This design handles order processing, inventory management, and content delivery with automatic scaling and pay-per-use pricing. Perfect for startups and growing businesses that need enterprise-grade performance without managing servers.

A production-ready e-commerce architecture designed for 99.99% uptime using AWS as the primary region, Azure for disaster recovery, and GCP for Asia-Pacific content delivery. Features automated failover, cross-cloud data replication, and globally distributed CDN. Ideal for businesses requiring geographic redundancy and low-latency access across continents.

Modern application architecture on Oracle Cloud leveraging Autonomous Database for self-tuning, self-securing database management. Includes compute instances, load balancing, and object storage. Perfect introduction to Oracle Cloud Infrastructure.

Real-time IoT architecture for managing thousands of connected devices. Ingests sensor data via AWS IoT Core, processes events with Lambda, stores in DynamoDB, and sends alerts through SNS. Great for learning IoT patterns.

Complete machine learning infrastructure on Google Cloud. Train models with Vertex AI, store data in BigQuery, automate workflows with Cloud Functions, and deploy models to production endpoints. Advanced example of MLOps best practices.

A complete analytics solution for processing streaming data. Ingests real-time events with Kinesis, transforms with Lambda, stores in S3 data lake, and enables SQL queries with Athena. Perfect for learning data engineering on AWS.

Enterprise-grade microservices platform using Google Kubernetes Engine. Includes service mesh, managed database, event-driven messaging with Pub/Sub, and CI/CD integration. Great for learning container orchestration.

A cost-effective serverless architecture on Azure. Uses Azure Functions for compute, API Management for routing and security, and Cosmos DB for low-latency global data access. Ideal for learning serverless patterns.

A classic AWS architecture for hosting web applications. Features load balancing, auto-scaling EC2 instances, managed MySQL database, and S3 for static content delivery. Perfect for learning the fundamentals of cloud architecture.