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Applications development

Your legacy application is holding you back. Your monolith doesn't scale. Time to market is too slow. Google Cloud offers a world-class platform for building and deploying applications that scale automatically — and we bring them to life for you.

Serverlessyou only pay for actual usage

0 → ∞auto-scaling in seconds

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The problem we see

Most companies that contact us are trapped in one of these situations:

A monolith that doesn't scale — One giant application that takes weeks to implement a single change. If one part fails, the whole thing collapses.

Manual and slow deployments — No automated CI/CD. Every release is a risky event with planned downtime.

Fixed infrastructure costs — You pay for servers 24/7, even though your application's peak load only lasts 8 hours a day.

The right platform for every case

Google Cloud offers several computing options. It's important to choose the right one — not the most popular one:

Cloud Run

Recommended in 80% of cases

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

Ideal for: API , backends, microservices, webhooks, web applications.

GKE

Full control with Kubernetes platform

Google-managed Kubernetes . Designed for complex microservices architectures with higher requirements for networking, service mesh, or GPUs.

Ideal for: complex SaaS platforms, machine learning model serving (ML serving), workloads that require fine-grained control.

Cloud Functions

Event-based functions

Functions that trigger on events: uploads to Cloud Storage, messages in Pub/Sub, changes in Firestore database. Serverless, no idle costs.

Ideal for: event processing, integrations, automation.

How we work — from idea to implementation

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

Evaluation and architecture

We analyze your current application (or requirements if the application is new), map dependencies, and design the optimal cloud architecture. We explain why Cloud Run , GKE, or Cloud Functions and how much it will cost.

Containerization and development

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

Complete CI/CD pipeline

Cloud Build + Artifact Registry + Cloud Deploy. Push to main branch → automated tests → build → deploy to test environment → commit → production. Deploy multiple times a day with full confidence.

Traceability and auto-scaling

Cloud Monitoring, Cloud Logging, Error Reporting, Cloud Trace. You can see exactly what's happening in production. Autoscaling is set up so that your application responds regardless of load — and scales to zero when not in use.

Real-life situations we solve

This is not theory — these are typical projects we carry out:

Migration

Java/PHP monolithic application for Cloud Run platform

We containerized the application without rewriting the code, configured Cloud SQL as the backend, and deployed it on the Cloud Run platform. Moved from three permanent servers to pay-as-you-go. Saved 60% on infrastructure costs.

New development

Backend API for mobile application

Backend: Cloud Run + Firestore + Firebase Auth. Auto-scaling at peak user load. Push notifications using Firebase Cloud Messaging. From zero to production in 6 weeks.

Automation

Document processing pipeline

Cloud Functions are triggered when PDFs are uploaded to Cloud Storage. Document AI extracts the data, stores it in BigQuery , and runs workflows using Cloud Workflows. Serverless, maintenance-free.

Platform

Multi-tenant SaaS on the GKE platform

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

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 in 80% of cases: serverless, scales to zero, no infrastructure to manage. GKE is designed for complex architectures that require full control over Kubernetes platform. App Engine is more of a legacy solution — for new projects we recommend Cloud Run . We help you choose during the initial evaluation.

Yes. We containerize your application as is (Docker) and deploy it on Cloud Run or GKE. No code changes. You get scalability, cost savings, and CI/CD from day one. Rewriting to microservices can come later, if it makes sense.

Cloud Run offers a free tier for 2 million requests per month. After that, you are charged per second based on CPU and memory usage. A typical application with ~100K requests per day can cost less than €20 per month. Scaling to zero means that during hours with no traffic, the cost is literally 0.

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 machine learning models (predictions, classification, NLP) to your application. With Gemini API , you can integrate generative AI directly. And with Document AI, Vision AI, or Speech-to-Text, you can automate document, image, and speech processing.

Do you have an application that needs further development?

We'll give you a free architectural assessment and tell you exactly what platform you need and how much it will cost.

Start here