Cloud platform
Repeatable environments, networking, access and deployment foundations.
Data & AI platform
Cloud infrastructure, geospatial workflows, analytics and machine-learning services operated as one production platform.
Sector: Agriculture technology · Focus: Geospatial data and platform operations · Scope: Cloud, data, ML and FinOps
The challenge
Application services, satellite and geospatial processing, distributed data jobs, analytics and machine learning all had different technical profiles.
The operating model brought those workloads under shared environment, security, observability and cost controls.
Repeatable environments, networking, access and deployment foundations.
Geospatial processing, orchestration and governed analytical services.
Monitoring, incident response, cost review and continual platform improvement.