# Google Cloud solutions for modern service delivery.

We deliver GCP architectures that are scalable, data-friendly and suited to digital services with strong operational automation.

## Why GCP

GCP is a great fit for digital services that need rapid deployment, strong data capabilities, and scalable microservices on a modern cloud platform. Google's infrastructure is optimised for global scale and offers industry-leading data analytics and machine learning services.

**GCP offers the most advanced analytics and data platform** with strong performance for real-time insights and data-driven decision making.

## GCP architecture

## Cloud-native GCP delivery pattern

We use GCP’s strengths in containers and data platforms to build services that deploy quickly, scale cleanly and keep operational signals visible.

01

### Service shape

Identify container, data and integration needs before choosing products.

02

### Foundation

Set projects, IAM, VPC design, service accounts and deployment boundaries.

03

### Cloud-native build

Use Cloud Run, GKE, BigQuery and managed data services with IaC.

04

### Operate with data

Track reliability, costs, logs, traces and analytics-led improvement.

## Controlled platform

### Compute

Cloud Run and GKE for scalable container delivery.

### Data

BigQuery, Firestore, Cloud Storage and event-driven processing.

### Identity

Cloud IAM, service accounts and workload identity controls.

### Observability

Cloud Logging, Monitoring, traces, alerts and cost reporting.

## GCP services we deliver

### Cloud Run

Fully managed serverless platform for containerised applications with auto-scaling.

### GKE & Kubernetes

Google Kubernetes Engine with integrated networking, security and autoscaling.

### BigQuery & Analytics

Serverless data warehouse for petabyte-scale analytics and machine learning.

### Identity & Access

Cloud IAM with service accounts, RBAC and Google Workspace integrations.

### Firestore & Data

NoSQL databases with real-time sync and offline capabilities.

### Cloud Monitoring

Observability with Cloud Monitoring, Logging and distributed tracing.

## Typical outcomes

- Cloud-native delivery pipelines with strong automation and observability.
- Cost-efficient, scalable services for growth and variable demand.
- Data-led platforms that help teams make better decisions faster.
- Rapid deployment with minimal infrastructure management.

We're GCP-certified with expertise across Cloud Run, GKE, BigQuery and infrastructure automation using Terraform.
