Google Cloud experts
Data centric Google Cloud platforms combining BigQuery, Vertex AI and Kubernetes for innovative products.
We design secure, automated GCP environments that empower teams to deliver analytics and AI at speed.
What is Google Cloud
Google Cloud Platform provides managed infrastructure, data and AI services built on Google's global network.
It excels at analytics, machine learning and Kubernetes based workloads.
We implement GCP with infrastructure as code, security automation and SRE aligned operations.
BigQuery, Looker and Dataflow for real time analytics and BI.
Vertex AI, AutoML and AI Platform delivering custom models and LLM solutions.
Cloud Run, GKE and Cloud Functions supporting microservices and serverless workloads.
Anthos, Cloud Build and operations suite enabling multi-cloud governance.
Why Google Cloud
- Industry leading analytics and AI capabilities
- Managed Kubernetes and serverless services
- Carbon aware infrastructure and sustainability commitments
- Open source leadership across data and ML tooling
Projects delivered on Google Cloud
We help teams adopt GCP for analytics, AI and digital products.
Migrate legacy BI to BigQuery and Looker with governed data pipelines.
Vertex AI models and MLOps delivering personalised experiences and automation.
GKE clusters with Anthos, GitOps and service mesh for multi-cloud environments.
Cloud Run, Cloud Functions and Firestore powering global applications.
Dataflow and Pub/Sub pipelines for real time insight and automation.
Cost visibility, budgets and policies keeping spend under control.
When Google Cloud is the right choice
- Organisations prioritising analytics and machine learning
- Teams investing in Kubernetes and container platforms
- Products needing global scale with managed services
- Businesses seeking sustainability commitments from their cloud provider
When to consider alternatives
- Microsoft centric estates may lean towards Azure.
- Enterprises needing broad enterprise SaaS integrations might prefer AWS.
- Heavily regulated workloads may remain on private cloud.
- Short term prototypes could start with SaaS before migrating to GCP.
Google Cloud vs AWS
| Criterion | Google CloudData | AWSGlobal |
|---|---|---|
| Analytics | BigQuery, Looker and Dataflow | Redshift, Athena and EMR |
| AI | Vertex AI, AutoML | SageMaker, Bedrock |
| Kubernetes | GKE and Anthos leadership | EKS with rich ecosystem |
| Sustainability | Carbon aware workloads | Large renewable investments |
| Use cases | Data heavy, AI intensive | Broad enterprise workloads |
We help choose between Google Cloud and AWS based on data strategy, team skills and governance needs.
Modernise with Google Cloud
We deliver strategy, engineering and enablement to unlock Google Cloud for your organisation.
No obligation. We keep data and credentials secure and remove them whenever requested.