Compute
Virtual machines, serverless containers and app hosting.
Compute Engine · Cloud Run · App Engine · GKE
Google Cloud is at its best with containers and data. We design, migrate, secure and operate your workloads on it, from a single Cloud Run service to GKE clusters and BigQuery.
Your projects, billed by Google
Setup, migration and operations
Containers and data expertise
24/7 incident handling
Compute
Storage
Databases
Data & Networking
Google Cloud Platform (GCP) is Google's public cloud: virtual machines, serverless containers, Kubernetes, databases and analytics on the same network that runs Google's own products, billed by usage.
Almost everything you run on GCP is built from four kinds of building block:
Virtual machines, serverless containers and app hosting.
Compute Engine · Cloud Run · App Engine · GKE
Object, disk and file storage with multiple classes.
Cloud Storage · Persistent Disk · Filestore
Managed relational, document and globally consistent databases.
Cloud SQL · Firestore · Spanner
Analytics at scale and Google's global network.
BigQuery · Cloud CDN · Cloud Load Balancing
A practical shortlist of what we set up and run most often, and what each one is good for.
Compute Engine
Configurable Linux and Windows virtual machines.
Good for: Web apps, custom software
Cloud Run
Run containers serverlessly; scales to zero when idle.
Good for: APIs, web services
App Engine
Managed platform for web apps without server management.
Good for: Simple web apps
Google Kubernetes Engine
Managed Kubernetes, including the hands-off Autopilot mode.
Good for: Container platforms
Artifact Registry
Private registry for container images and packages.
Good for: Image and package storage
Cloud Build
Managed CI/CD that builds, tests and deploys.
Good for: Pipelines
Cloud Storage
Object storage with standard, nearline, coldline and archive classes.
Good for: Files, media, backups
Persistent Disk
Durable block storage for Compute Engine and GKE.
Good for: Server disks
Filestore
Managed NFS file storage.
Good for: Shared file systems
Cloud SQL
Managed MySQL, PostgreSQL and SQL Server.
Good for: Most application databases
Firestore
Serverless document database with real-time sync.
Good for: Mobile and web apps
Cloud Spanner
Globally distributed, strongly consistent relational database.
Good for: Global, high-scale systems
BigQuery
Serverless data warehouse; query terabytes with SQL.
Good for: Reporting, analytics
Pub/Sub
Messaging between services, at any scale.
Good for: Event-driven systems
Dataflow
Managed stream and batch data processing.
Good for: Data pipelines
Cloud Load Balancing
Global load balancing on a single anycast IP.
Good for: High-traffic sites
Cloud IAM
Roles and permissions across projects and resources.
Good for: Least-privilege access
Cloud Monitoring
Metrics, uptime checks, dashboards and alerts.
Good for: Monitoring and alerting
Kubernetes started at Google; GKE and Cloud Run make containers simple to run.
BigQuery lets you analyse large datasets with plain SQL, without managing servers.
Traffic rides Google's private backbone for consistent, low-latency delivery.
Sustained use and committed use discounts lower the cost of steady workloads.
Data is encrypted at rest by default, with fine-grained IAM on every resource.
Clear tooling, good APIs and serverless options keep operations light.
Folders, projects, shared VPC, and organization policies set up as a governed foundation.
Resource hierarchy
Shared VPC design
Organization policy guardrails
Move servers, databases, and applications to GCP with sizing, data transfer, and a planned cutover.
Discovery and sizing
Cloud SQL migration
DNS and traffic cutover
Run services on Cloud Run or GKE with build pipelines, autoscaling, and safe rollouts.
Cloud Run services
GKE clusters
Cloud Build pipelines
Load, model, and query data in BigQuery with scheduled pipelines and access controls.
BigQuery datasets
Data pipelines
Dataset access policies
Right-size compute, use committed use discounts, and track spend per project and team.
Billing export review
Right-sizing
Budgets and alerts
Least-privilege IAM, monitoring, backups, and incident response for production on GCP.
IAM review
Cloud Monitoring alerts
24/7 incident handling
Containers on Cloud Run that scale with traffic and cost nothing when idle.
GKE with Cloud SQL, managed certificates and zero-downtime rollouts.
BigQuery as the warehouse, fed by scheduled pipelines, with dashboards on top.
Firestore and Cloud Run back-ends that sync data to users instantly.
Step 1
Review workloads, accounts, access, costs, and risks.
Step 2
Plan the network, identity, environments, and rollback path.
Step 3
Automate infrastructure and move workloads with tested cutovers.
Step 4
Monitor, patch, back up, and respond to incidents around the clock.
The cloud is not always the cheapest home for a workload. Here is how we decide with you.
You are building on containers or Kubernetes
Analytics and BigQuery are central to the business
Traffic is spiky and idle time should cost nothing
You already use Google Workspace or Firebase
A steady website with predictable traffic
You want a fixed monthly price
One or two servers cover the whole workload
No need for managed data services
The engineers who design your setup are the ones who run it and answer your tickets.
We agree the scope and price before work starts, and flag cloud costs before they grow.
Our services are invoiced in the currency that suits your business.
Raise an issue any time from the client area and track it to resolution.
Tell us what you run today and where you want to be. We will come back with a scoped plan and quote.
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GCP is Google's cloud platform for servers, containers, databases and analytics, billed by usage. It is especially strong for container-based applications and data-heavy workloads.
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