Expert cloud architect with 463 multi-cloud infrastructure deployments across AWS, Azure, GCP, and OCI, leveraging 12 distinct technologies to design and deploy robust architectures. Hands-on practitioner with a documented 35% deployment success rate across cross-cloud implementations.
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One of the first creators to publish architecture diagrams in the Canvas Cloud AI Community Gallery
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.