My take
Why I use Google Cloud
GCP shines for data and AI. BigQuery is genuinely a category leader, Cloud Run is the cleanest serverless container experience I've used, and Vertex AI gives me a Google-grade home for ML pipelines.
Want the broader stack philosophy? Read about how Sri picks tools or browse engineering insights.
Honest assessment
Strengths & tradeoffs
No tool is perfect. Here's what shines and what to watch for.
Strengths
- BigQuery for petabyte-scale analytics
- Cloud Run for stateless containers
- Vertex AI for managed ML
- Strong Kubernetes story (GKE Autopilot)
- Cleaner IAM model than AWS for many cases
Tradeoffs (honestly)
- Smaller service catalog than AWS
- Some products deprecated abruptly
- Less enterprise-friendly support tier
- Documentation quality varies
Fit assessment
When to reach for Google Cloud
Pick the right tool for the job.
Best fits
Data warehousing on BigQuery
Containerized services on Cloud Run
ML training and inference on Vertex AI
GKE-based Kubernetes workloads
BigQuery + Looker analytics stacks
Not ideal for
Workloads tightly coupled to AWS-only services
Teams without BigQuery use cases (less differentiation)
Compliance regimes Google hasn't certified for
Common use cases
Resources
Learn more
Curated official docs, tutorials, and writing on Google Cloud.
Services
Where I apply Google Cloud
Engagements where this technology shows up regularly.
Data Engineering
Modern data infrastructure that actually gets used. I build data pipelines, warehouses, and analytics platforms that transform raw data into business intelligence.
Cloud Infrastructure
Modern cloud infrastructure designed for reliability, cost-efficiency, and developer velocity. From Kubernetes deployments to serverless architectures, I build platforms that teams love to ship on.
Case Studies
Google Cloud in production
Real engagements where this technology shaped the outcome.
Browse the full case study archive.
Stack
Pairs well with Google Cloud
Tools and platforms I commonly combine with this one.
Cloud Platforms
More in this category
Hyperscalers and frontend clouds where I deploy production systems.
Need help with Google Cloud?
Whether you're starting fresh or optimizing an existing implementation, I can help you get the most out of this technology. Read more in insights or get in touch.