Introduction: Google Cloud Functions provides a fully managed, event-driven serverless compute platform that scales automatically from zero to millions of invocations. This comprehensive guide explores Cloud Functions’ enterprise capabilities, from HTTP triggers and event-driven architectures to security controls, VPC connectivity, and cost optimization. After building serverless architectures across all major cloud providers, I’ve found Cloud […]
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Designing Enterprise VPC Networks on Google Cloud: From Zero Trust to Global Scale
Enterprise VPC design on Google Cloud requires balancing security, performance, and operational simplicity. This comprehensive guide covers Zero Trust architecture, global network design, VPC Service Controls, and hybrid connectivity patterns that meet the demands of modern enterprise workloads. Zero Trust Network Architecture Zero Trust assumes no implicit trust—every access request must be authenticated and authorized […]
Read more →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 […]
Read more →Serverless AI Architecture: Building Scalable LLM Applications
Three years ago, I built my first serverless LLM application. It failed spectacularly. Cold starts made responses take 15 seconds. Timeouts killed long-running requests. Costs spiraled out of control. After architecting 30+ serverless AI systems, I’ve learned what works. Here’s the complete guide to building scalable serverless LLM applications. Figure 1: Serverless AI Architecture Overview […]
Read more →Deploying LLM Applications on Cloud Run: A Complete Guide
Last year, I deployed our first LLM application to Cloud Run. What should have taken hours took three days. Cold starts killed our latency. Memory limits caused crashes. Timeouts broke long-running requests. After deploying 20+ LLM applications to Cloud Run, I’ve learned what works and what doesn’t. Here’s the complete guide. Figure 1: Cloud Run […]
Read more →Mastering Google Cloud Storage: A Complete Guide to Object Storage at Scale
Google Cloud Storage provides the foundation for data storage across virtually every GCP workload, offering eleven-nines durability (99.999999999%), global availability, and seamless integration with analytics and ML services. Storage Classes Comparison Google Cloud Storage Architecture Location Types Type Example Availability Use Case Multi-region US, EU, ASIA 99.95% Global apps, HA + DR Dual-region US-EAST1 + […]
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