Cloud platform
Controlled environments and infrastructure as code.
The challenge
Different workloads, shared operational controls
The platform had to support application services, satellite and geospatial workflows, distributed data processing, analytics and machine learning across controlled environments.
Perception IT established repeatable infrastructure, deployment, observability, security and cost-management patterns that allow the data and product teams to move faster without fragmenting operations.
One platform, several disciplines
Geospatial data
Scalable processing for imagery and agricultural signals.
ML & AI
Managed lifecycle services for models and agent workloads.
FinOps
Visibility and review across platform cost drivers.
Building a data-intensive platform?
We can connect application, data, ML and operating requirements into one delivery plan.
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