I’ve built Serverless Showdown systems for three different companies. Each time, I learned something new. Let me walk you through the complete process, including the mistakes I made so you don’t have to. What We’re Building Today, I’ll show you how to build [specific system] that actually works in production. This isn’t a toy example—it’s… Continue reading
Tag: Terraform
BigQuery Unleashed: Building Enterprise Data Warehouses That Scale to Petabytes
Introduction: BigQuery stands as Google Cloud’s crown jewel—a serverless, petabyte-scale data warehouse that has fundamentally changed how enterprises approach analytics. This comprehensive guide explores BigQuery’s enterprise capabilities, from columnar storage and slot-based execution to advanced features like BigQuery ML, BI Engine, and real-time streaming. After architecting data platforms across all major cloud providers, I’ve found… Continue reading
Vertex AI Masterclass: Building Production ML Pipelines on Google Cloud
Introduction: Vertex AI represents Google Cloud’s unified machine learning platform, bringing together AutoML, custom training, model deployment, and MLOps capabilities under a single, cohesive experience. This comprehensive guide explores Vertex AI’s enterprise capabilities, from managed training pipelines and feature stores to model monitoring and A/B testing. After building production ML systems across multiple cloud platforms,… Continue reading
Mastering Google Cloud Storage: A Complete Guide to Object Storage at Scale
Introduction: Google Cloud Storage provides the foundation for data storage across virtually every GCP workload, offering eleven-nines durability, global availability, and seamless integration with analytics and ML services. This comprehensive guide explores Cloud Storage’s enterprise capabilities, from storage classes and lifecycle management to security controls and performance optimization. After architecting data platforms handling petabytes of… Continue reading
Cloud Spanner Deep Dive: Building Globally Distributed Databases That Never Go Down
Introduction: Cloud Spanner represents a breakthrough in database technology—the world’s first horizontally scalable, strongly consistent relational database that spans continents while maintaining ACID transactions. This comprehensive guide explores Spanner’s enterprise capabilities, from its TrueTime-based consistency model to multi-region configurations and automatic sharding. After architecting globally distributed systems across multiple database technologies, I’ve found Spanner uniquely… Continue reading
Mastering Google Cloud Platform: A Complete Architecture Guide for Enterprise Developers
Introduction: Google Cloud Platform has emerged as a formidable player in the enterprise cloud landscape, offering a unique combination of cutting-edge infrastructure, data analytics capabilities, and machine learning services that distinguish it from AWS and Azure. This comprehensive guide explores GCP’s core architecture patterns, enterprise design principles, and production-ready implementations using Terraform and Python. After… Continue reading
Mastering GKE: A Deep Dive into Google Kubernetes Engine for Production Workloads
Introduction: Google Kubernetes Engine represents the gold standard for managed Kubernetes, built on the same infrastructure that runs Google’s own containerized workloads at massive scale. This deep dive explores GKE’s enterprise capabilities—from Autopilot mode that eliminates node management to advanced features like workload identity, binary authorization, and multi-cluster service mesh. After deploying production Kubernetes clusters… Continue reading
Designing Enterprise VPC Networks on Google Cloud: From Zero Trust to Global Scale
Introduction: Google Cloud VPC networking provides the foundation for secure, scalable, and globally distributed cloud architectures. This comprehensive guide explores VPC’s enterprise capabilities, from global VPC design and shared VPC architectures to Private Google Access, Cloud NAT, and zero-trust network security. After designing network architectures for enterprises across all major cloud providers, I’ve found GCP’s… Continue reading
Cloud VM Showdown: Choosing Between GCP Compute Engine, AWS EC2, and Azure Virtual Machines
Introduction: Choosing the right virtual machine platform is one of the most consequential decisions in cloud architecture, directly impacting performance, cost, and operational complexity for years to come. This comprehensive comparison examines GCP Compute Engine, AWS EC2, and Azure Virtual Machines through the lens of enterprise requirements—evaluating compute options, pricing models, networking capabilities, and operational… Continue reading
Infrastructure as Code: A Solutions Architect’s Guide to Terraform and Pulumi
After two decades of managing infrastructure across enterprises of every scale, I’ve witnessed the evolution from manual server provisioning to the declarative, version-controlled approach we now call Infrastructure as Code. The shift isn’t just about automation—it’s about treating infrastructure with the same rigor we apply to application code: version control, code review, testing, and continuous… Continue reading