Google Cloud (GCP): the cloud foundation for your data and AI
Discover Google Cloud (GCP), the cloud foundation for your data and AI projects
Google Cloud Platform (GCP) is Google's cloud computing platform, providing the foundation to host your applications and activate your data at global scale.
Hosting a business application, centralising company data, deploying an AI model: GCP covers it all, running on the same infrastructure that powers Google's own services. You only pay for what you use and scale resources on demand.
Google Cloud is built around four main pillars:
Services that combine to cover the full lifecycle of your applications and data.
1. Compute and hosting: your applications at scale
Virtual machines, containers or serverless: you choose the level of abstraction.
- Deploy your applications on virtual machines or in containers
- Orchestrate your workloads with Google Kubernetes Engine
- Run code without servers using Cloud Run and Cloud Functions
- Scale resources automatically based on load
2. Storage and databases: available, durable data
From raw files to transactional databases, every piece of data has its service.
- Store files and backups in Cloud Storage
- Run managed relational databases with Cloud SQL
- Pick the right service for each workload: transactional, document, cache
- Replicate your data across regions for resilience
3. Data and analytics: turn your data into decisions
One of GCP's biggest strengths, led by BigQuery.
- Centralise your data in BigQuery, Google's serverless data warehouse
- Ingest real-time streams with the streaming services
- Build managed data pipelines
- Deliver your analyses to your favourite BI tools
- Discover the service here
4. Artificial intelligence: Vertex AI and the Gemini models
GCP puts Google's AI research within reach of your teams.
- Train and deploy your models with Vertex AI
- Use the Gemini models for your generative use cases
- Integrate vision, translation or text analysis through ready-made APIs
- Connect AI directly to your BigQuery data
- Discover the service here
What about security?
Encryption at rest and in transit, fine-grained identity and access management (IAM), compliance certifications: GCP provides enterprise-grade security, provided it is configured properly.
Planning a Google Cloud project? turnK designs your data architecture and puts your data to work. Take a look at our Data and AI services or contact us: our consultants reply within 48 hours.
Les questions les plus fréquentes
Google Cloud Platform is Google's cloud computing platform. It brings together compute, storage, database and networking services, along with data and AI services such as BigQuery and Vertex AI, all billed on a pay-as-you-go basis.
Businesses of all sizes that want to host their applications or build a data platform without investing in their own infrastructure. GCP is especially popular with data teams for the power of BigQuery and its AI services.
Compute (virtual machines, Kubernetes, serverless), storage and managed databases, analytics with BigQuery and data pipelines, and artificial intelligence with Vertex AI and the Gemini models.
GCP is usage-based: you pay for the resources you actually consume, with committed-use discounts and a free tier for some services. Up-to-date pricing is available on the official Google Cloud website.
All three cover the essentials; the right choice depends on your existing stack, in-house skills and priority use cases. GCP often stands out on data and AI with BigQuery and Vertex AI. turnK helps you decide, then builds the right architecture.
