SKAD IT Solutions has merged with Hexagon IT Solutions.

Google Cloud

Google Cloud environments built around data and containers.

SKAD IT Solutions designs and runs Google Cloud infrastructure, with particular depth where GCP is strongest: data platforms, Kubernetes and managed AI services.

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Get expert help for your Google Cloud project

We’ll use your details only to respond to your Google Cloud request.

Clear ownership

Decision rights mapped early

Reviewable delivery

Visible work and release cadence

Maintainable handoff

Documentation built into delivery

Organizations SKAD Has Worked With

What We Build

Cloud Architecture and Project Structure

Project hierarchy, networking, IAM and organisation policy set up before workloads.

BigQuery Data Platforms

Warehouse design, partitioning, clustering and cost control.

GKE and Container Workloads

Kubernetes clusters configured with sensible defaults and manageable operational load.

Serverless on GCP

Cloud Run, Cloud Functions and Pub/Sub for event-driven services.

Migration to Google Cloud

Assessment, wave planning and cutover from on-premise or another provider.

Vertex AI and ML Infrastructure

Training and serving infrastructure for machine learning workloads.

Why Teams Choose Us

BigQuery cost discipline
1

BigQuery cost discipline

Query cost is a design decision, and partitioning choices made early save a great deal later.

Cloud Run first
2

Cloud Run first

Managed containers before Kubernetes, because most workloads do not need cluster operations.

Terraform everywhere
3

Terraform everywhere

Infrastructure defined in code, so environments are reproducible.

Tools and Technologies

01

Compute

Cloud RunCloud Run
GKEGKE
Compute EngineCompute Engine
Cloud FunctionsCloud Functions
02

Data

BigQueryBigQuery
Cloud StorageCloud Storage
DataflowDataflow
Pub/SubPub/Sub
03

Infrastructure as code

TerraformTerraform
Config ConnectorConfig Connector
04

Operations

Cloud MonitoringCloud Monitoring
Cloud LoggingCloud Logging

Frequently Asked Questions

Usually for BigQuery, Kubernetes maturity or existing Google Workspace integration. Otherwise the choice is close.

Yes. Most overspend comes from unpartitioned tables and unrestricted queries.

Yes, though we would ask whether the added complexity is worth it first.

Cloud Run unless you need cluster-level control. It removes most of the operational work.

Yes, with a workload-by-workload assessment first.

Talk to SKAD IT Solutions about your Google Cloud project.

Discuss Your Google Cloud Needs→ Contact SKAD →

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