Most companies that contact us find themselves in one of these situations:
Google Cloud offers several computing options. The key is to choose the right one—not the most popular one:
Serverless containers that scale down to zero. No infrastructure to manage. You pay only for the requests it processes. Deploy with a single command.
Kubernetes managed by Google. For complex microservices architectures with advanced networking, service mesh, or GPU requirements.
Functions triggered by events: uploads to Cloud Storage, messages in Pub/Sub, changes in Firestore. Serverless, no idle costs.
Whether it's a migration or a new development, we follow a clear process:
We analyze your current app (or your requirements if it’s a new one), map dependencies, and design the optimal cloud architecture. We’ll explain why we recommend Cloud Run, GKE, or Functions—and how much it will cost.
We containerize your app (or build it from the ground up as a cloud-native app). We integrate with Cloud SQL, Firestore, Cloud Storage, Pub/Sub—whatever you need. Secure APIs with API Gateway.
Cloud Build + Artifact Registry + Cloud Deploy. Push to main → automated tests → build → deploy to staging → approval → production. Deploy multiple times a day with complete confidence.
Cloud Monitoring, Cloud Logging, Error Reporting, Cloud Trace. See exactly what’s happening in production. Auto-scaling configured so your app stays responsive no matter the load—and scales down to zero when it’s not in use.
This isn't just theory—these are the kinds of projects we typically deliver:
We containerized the app without rewriting any code, set up Cloud SQL as the backend, and deployed it to Cloud Run. We went from three fixed-price servers to a pay-as-you-go model, saving 60% on infrastructure costs.
Backend on Cloud Run + Firestore + Firebase Auth. Auto-scaling for peak user traffic. Push notifications with Firebase Cloud Messaging. From scratch to production in 6 weeks.
Cloud Functions are triggered when PDFs are uploaded to Cloud Storage. Document AI extracts data, saves it to BigQuery, and triggers workflows using Cloud Workflows. Serverless, maintenance-free.
Microservices architecture on GKE with the Istio service mesh. Each client is isolated in its own namespace. CI/CD with Cloud Build and canary deployments. Automatic horizontal scaling.
Cloud Run is the default choice in 80% of cases: serverless, scales down to zero, and requires no infrastructure management. GKE is for complex architectures that require full control over Kubernetes. App Engine is more of a legacy solution—for new projects, we recommend Cloud Run. We’ll help you choose during the initial assessment.
Yes. We containerize your app as-is (using Docker) and deploy it to Cloud Run or GKE. No code changes required. You gain scalability, cost savings, and CI/CD from day one. Rewriting it as microservices can come later, when it makes sense.
Cloud Run offers a free tier of 2 million requests per month. After that, it charges based on CPU/memory/second of usage. A typical app with ~100,000 requests per day can cost less than €20 per month. "Scale to zero" means that during hours with no traffic, the cost is literally zero.
Cloud Run runs any Docker container, so it supports everything: Node.js, Python, Java, Go, PHP, .NET, Ruby, Rust. Frameworks like Next.js, Django, Spring Boot, Laravel, Express—if it runs in a container, it runs on Cloud Run.
Yes. With Vertex AI, you can add ML models to your app (predictions, classification, NLP). With the Gemini API, you can integrate generative AI directly. And with Document AI, Vision AI, or Speech-to-Text, you can automate the processing of documents, images, and speech.
We'll provide you with a free architecture assessment and tell you exactly which platform you need and how much it will cost.
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