Cloud · AgTech
Multi-cloud migration and automation for an AgTech innovator
A leading AgTech company specialising in AI-driven insights for agriculture
The challenge
What the client was trying to solve
Rising cloud costs and DevOps inefficiencies were undermining the high availability that precision-agriculture AI workloads depend on.
The business problem
- 01
Rising GCP operational costs called for a cost-effective, scalable alternative.
- 02
DevOps inefficiencies and automation issues hindered operations and resource optimisation.
- 03
AI/ML workloads critical for precision agriculture needed high availability and scalable infrastructure.
Branta's approach
How we worked back from the outcome
Selected workloads migrated from GCP to AWS with native tooling, Kubernetes re-architected via Terraform, and 24×7 operations.
Ran a detailed cloud infrastructure gap assessment to identify issues in the hybrid deployments.
Migrated selected workloads from GCP to AWS using native tools, AWS Cloud Replication and Migration Services.
Re-architected the Kubernetes solutions for the AI/ML modules with Terraform to ensure high availability.
Established 24×7 monitoring, incident management and change management for uninterrupted service.
Architecture
Problem, thinking, technology, outcome
The system as it runs, from the business problem on the left to the measured result on the right.
- Business problem
AI/ML workloads on GCP
Rising costs and DevOps friction
- Branta thinking
Gap assessment
Issues identified across hybrid deployments
- Technology
AWS migration
Cloud Replication and Migration Services
- Technology
Kubernetes via Terraform
Re-architected for high availability
- Measured outcome
Highly available AI services
Lower costs, 24×7 operations
Technology
- GCP
- AWS
- AWS Cloud Replication
- AWS Migration Services
- Kubernetes
- Terraform
The outcome
What the engagement delivered
- Migration completed, reducing operational costs and optimising resources.
- High availability for AI/ML services, improving performance and reliability.
- A scalable, future-ready architecture for agricultural innovation.
What changed
The AI services that farmers rely on now run highly available on a lower-cost platform, with operations monitored around the clock.
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