DataGnu / Cloud / Google Cloud
Google Cloud migration, modernization, AI, data and security.
GKE, BigQuery, Vertex AI and Security Command Centre. We build and run.
Services
Professional and managed services
Each discipline can be a scoped project, an ongoing managed service, or a project that becomes one.
Migration
Assessment through to production, with the guardrails in place first.
Professional services
- Estate discovery and assessment with Migration Center
- Business case and TCO modelling
- Landing zone with resource hierarchy, folders and Organization Policy
- VM migration with Migrate to Virtual Machines
- Database migration with Database Migration Service
- Workload disposition, wave planning and cutover
Managed services
- Landing zone and organisation policy management
- Committed use discount and cost optimisation
- Backup, patching and disaster recovery operations
- Architecture review against the Google Cloud Architecture Framework
Modernization
Containers and managed services, which is the ground Google Cloud is strongest on.
Professional services
- Containerisation onto Google Kubernetes Engine and Cloud Run
- Serverless and event-driven design with Cloud Functions and Pub/Sub
- Database modernization to Cloud SQL, AlloyDB and Spanner
- Service mesh and traffic management with Anthos Service Mesh
- CI/CD with Cloud Build or GitHub Actions, and Terraform
Managed services
- GKE cluster lifecycle, upgrades and capacity management
- Platform engineering and developer self-service
- Release engineering and deployment support
- SRE practice, SLOs and incident response
Artificial intelligence
Vertex AI and Gemini in real workflows, with the discipline that keeps them running.
Professional services
- Generative AI applications on Vertex AI with Gemini models
- Retrieval-augmented generation with Vertex AI Search
- Agent development and tool integration
- Document processing with Document AI
- Model training, tuning and deployment on Vertex AI
- Evaluation, safety filters and human-in-the-loop design
Managed services
- Inference cost monitoring and optimisation
- Model, endpoint and version lifecycle management
- Output quality monitoring and drift detection
- Search and grounding corpus curation
Data & analytics
BigQuery at the centre, with the pipelines and controls around it.
Professional services
- Warehouse and lakehouse design on BigQuery and BigLake
- Ingestion and transformation with Dataflow, Dataproc and dbt
- Streaming with Pub/Sub and Dataflow
- Governance, cataloguing and quality with Dataplex
- Dashboards and self-service analytics with Looker
Managed services
- Pipeline monitoring, SLAs and failure remediation
- Data quality checks and reconciliation
- BigQuery slot, storage and query cost optimisation
- Dataplex governance and access review operations
Security
Organisation-level controls and continuous detection, rather than per-project good intentions.
Professional services
- Security assessment against the Google Cloud Architecture Framework
- IAM design, least privilege and workload identity federation
- Organization Policy, VPC Service Controls and perimeter design
- Security Command Centre deployment and tuning
- Encryption and secrets with Cloud KMS and Secret Manager
- Network security, Cloud Armor and edge protection
Managed services
- Continuous compliance monitoring and reporting
- Vulnerability management and patch orchestration
- Security incident response and forensics support
- Access certification and privileged access review
Delivered work rather than a partner tier. Our AWS Select Tier Partner status is separate.
Getting started
How we start
One size fits all rarely works. We map the estate, then match each workload to a strategy.
Assess
The existing estate — workloads, dependencies, costs, risks and the constraints nobody wrote down.
Plan
A target architecture, a disposition per workload, and a sequence that delivers value before the end.
Execute
Landing zone, migration waves and modernization work, rehearsed before it is done for real.
Operate
A managed service with agreed response targets, and continuous cost and security review.
Also from DataGnu
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