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Development of Applications

Your legacy application is holding you back. Your monolith doesn't scale. Your time-to-market is too slow. Google Cloud offers the most advanced platforms for building and deploying applications that scale automatically—and we implement them for you.

ServerlessYou pay only for actual usage.

0 → ∞autoscaling in seconds

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The problem we see

Most companies that contact us are stuck in one of these scenarios:

Non-scalable monolith — A single, massive application that takes weeks to deploy a change. If one part fails, the whole thing goes down.

Slow, manual deployments — No automated CI/CD. Each release is a high-risk event involving planned downtime.

Fixed infrastructure costs — You pay for servers 24/7, even though your app only experiences usage spikes for 8 hours a day.

The right platform for every case

Google Cloud offers several compute options. The key is to choose the right one—not the most popular one:

Cloud Run

Recommended for 80% of cases

Serverless containers that scale to zero. No infrastructure management. Pay only for the requests processed. Deploy with a single command.

Ideal for: APIs , backends, microservices, webhooks, web apps.

GKE

Total control with Kubernetes

Google-managed Kubernetes . For complex microservices architectures with advanced networking, service mesh, or GPU requirements.

Ideal for: Complex SaaS platforms, ML serving, workloads requiring granular control.

Cloud Functions

Event-driven functions

Functions that execute in response to events: Cloud Storage uploads, Pub/Sub messages, Firestore changes. Serverless, no cost when idle.

Ideal for: Event processing, integrations, automations.

How we work — from idea to deployment

Whether it is a migration or a new development, we follow a clear process:

Assessment and architecture

We analyze your current app (or your requirements if it is new), map dependencies, and design the optimal cloud architecture. We explain why Cloud Run , GKE, or Functions is the right choice and what the costs will be.

Containerization and development

We containerize your app (or build it cloud-native). We connect to Cloud SQL , Firestore, Cloud Storage, Pub/Sub—whatever you need. Secure APIs using API Gateway.

Full CI/CD pipeline

Cloud Build + Artifact Registry + Cloud Deploy. Push to main → automated tests → build → deploy to staging → approval → production. Deploy multiple times a day with total confidence.

Observability and autoscaling

Cloud Monitoring, Cloud Logging, Error Reporting, and Cloud Trace. You see exactly what is happening in production. Autoscaling is configured so your app remains responsive regardless of the load—and scales to zero when not in use.

Real-world scenarios we resolve

It’s not theory—these are the typical projects we deliver:

Migration

Java/PHP monolithic app to Cloud Run

We containerized the app without rewriting code, configured Cloud SQL as the backend, and deployed to Cloud Run . We moved from three fixed servers to a pay-per-use model, achieving a 60% saving on infrastructure costs.

New development

Backend API for mobile app

Backend on Cloud Run + Firestore + Firebase Auth. Autoscaling for user spikes. Push notifications with Firebase Cloud Messaging. From zero to production in 6 weeks.

Automation

Document processing pipeline

Cloud Functions triggered by uploading PDFs to Cloud Storage. Document AI extracts data, saves it to BigQuery , and initiates workflows using Cloud Workflows. Serverless, maintenance-free.

Platform

Multi-tenant SaaS on GKE

Microservices architecture on GKE with Istio service mesh. Each client isolated in its own namespace. CI/CD with Cloud Build and canary deployments. Horizontal autoscaling.

Technology stack

Cloud Run GKE Cloud Functions Cloud Build Artifact Registry Firebase Cloud SQL Firestore Pub/Sub API Gateway

Frequently Asked Questions

Cloud Run is the default choice for 80% of use cases: serverless, scales to zero, and requires no infrastructure management. GKE is suited for complex architectures requiring full Kubernetes control. App Engine is considered a legacy option; for new projects, we recommend Cloud Run . We help you make the right choice during the initial assessment.

Yes. We containerize your app as-is (Docker) and deploy it to Cloud Run or GKE—without changing any code. 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. Beyond that, it charges based on CPU, memory, and seconds of usage. A typical app with around 100,000 requests per day can cost less than €20 per month. Scaling to zero means that during periods 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 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.

Do you have an application that needs to evolve?

We provide a free architecture assessment and tell you exactly which platform you need and how much it will cost.

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