Professional Cloud Computing & Multi-Cloud Architecture
Showcasing advanced cloud-native expertise, this portfolio highlights a comprehensive journey through serverless architectures, Kubernetes orchestration, and multi-cloud deployments. My work demonstrates mastery in infrastructure as code (IaC) using tools like Terraform and AWS CloudFormation, enabling automated, scalable, and secure environments. I specialize in designing resilient microservices, implementing CI/CD pipelines, and optimizing cost and performance across AWS, Azure, and Google Cloud.
Advanced Cloud Computing & Multi-Cloud Architecture
My Cloud Computing expertise has evolved from basic virtual machine deployments to architecting enterprise-level multi-cloud solutions with modern cloud-native technologies. What started with simple infrastructure provisioning has transformed into sophisticated microservices architectures, serverless platforms, and infrastructure as code implementations.
Currently, I specialize in cloud-native architecture patterns including Kubernetes orchestration, containerization strategies, and multi-cloud deployments. My projects demonstrate mastery of AWS, Azure, and Google Cloud Platform ecosystems, cloud automation, and professional DevOps workflows.
Professional Expertise includes:
β’ Multi-Cloud Architecture: AWS, Azure, GCP platform expertise, cross-cloud resource management, and vendor-agnostic infrastructure design
β’ Serverless Computing: AWS Lambda, Azure Functions, Google Cloud Functions, event-driven architectures, and auto-scaling serverless applications
β’ Infrastructure as Code: Terraform multi-cloud provisioning, HashiCorp Configuration Language (HCL), state management, and automated deployments
β’ Container Orchestration: Kubernetes cluster management, Docker containerization, service mesh with Istio, and cloud-native microservices
β’ Cloud-Native Patterns: Circuit breakers, saga patterns, API gateways, service discovery, event-driven messaging, and CQRS implementation
β’ DevOps & CI/CD: GitHub Actions pipelines, automated testing, containerized deployments, monitoring with Prometheus/Grafana, and observability
My recent portfolio showcases demonstrate the evolution from basic cloud deployments to production-grade cloud architectures including serverless platforms, infrastructure automation, and distributed microservices systems.
Cloud Computing Achievements
β‘ Serverless Multi-Cloud Platform
AWS Lambda, Azure Functions, and Google Cloud Functions comparison with performance benchmarks, cost analysis, auto-scaling capabilities, and vendor-agnostic serverless architecture patterns.
ποΈ Infrastructure as Code Automation
Terraform multi-cloud provisioning with HCL language, AWS/Azure/GCP resource automation, state management with remote backends, and infrastructure version control workflows.
βΈοΈ Multi-Cloud Kubernetes Deployment
Kubernetes clusters across AWS EKS, Azure AKS, and GCP GKE with unified Istio service mesh, federated deployments, cross-region disaster recovery, and automated multi-cloud failover strategies.
Professional Cloud Computing Projects
Serverless Architecture Comparison
Multi-Cloud Serverless Platform: Comprehensive comparison of AWS Lambda, Azure Functions, and Google Cloud Functions with performance benchmarks, cost analysis, feature comparison matrices, and implementation examples. Demonstrates serverless best practices, auto-scaling patterns, and event-driven architectures.
Click on the Card to View
Infrastructure as Code with Terraform
Multi-Cloud Infrastructure Automation: Terraform-based infrastructure provisioning across AWS, Azure, and Google Cloud Platform. Features HCL configuration for VPC/VNet networks, compute instances (EC2/VM/Compute Engine), managed databases (RDS/Azure Database/Cloud SQL), object storage (S3/Blob/Cloud Storage).
Click on the Card to View
Multi-Cloud Kubernetes Deployment
Enterprise Kubernetes Multi-Cloud Platform: Production Kubernetes clusters deployed across AWS EKS, Azure AKS, and Google Cloud GKE with unified management. Features cross-cloud service mesh with Istio, multi-cluster ingress routing, federated deployments, disaster recovery with cross-region replication, unified monitorin.
Click on the Card to View
Serverless Architecture Comparison
Multi-Cloud Serverless Platform: Comprehensive comparison of AWS Lambda, Azure Functions, and Google Cloud Functions with performance benchmarks, cost analysis, feature comparison matrices, and implementation examples. Demonstrates serverless best practices, auto-scaling patterns, and event-driven architectures.
Click on the Card to View
Infrastructure as Code with Terraform
Multi-Cloud Infrastructure Automation: Terraform-based infrastructure provisioning across AWS, Azure, and Google Cloud Platform. Features HCL configuration for VPC/VNet networks, compute instances (EC2/VM/Compute Engine), managed databases (RDS/Azure Database/Cloud SQL), object storage (S3/Blob/Cloud Storage).
Click on the Card to View
Multi-Cloud Kubernetes Deployment
Enterprise Kubernetes Multi-Cloud Platform: Production Kubernetes clusters deployed across AWS EKS, Azure AKS, and Google Cloud GKE with unified management. Features cross-cloud service mesh with Istio, multi-cluster ingress routing, federated deployments, disaster recovery with cross-region replication, unified monitorin.