Ramboll SHAIR
Ramboll SHAIR runs ML workflows fed by IoT sensors to publish hourly air-quality data via a REST API. Epsilon implemented Terraform IaC and automation pipelines that enabled fully ephemeral non-production stacks and scheduled shutdowns. This reduced waste, improved agility, and delivered major monthly savings.
Terraform Infrastructure as Code
Cost optimization
Automation pipelines
Ephemeral environment design
Cloud governance
The team needed to minimize cloud spend while maintaining availability, but lacked repeatable infrastructure patterns and cost-efficient environment control.
Epsilon implemented Terraform IaC, automated pipelines, and environment lifecycle controls to eliminate idle infrastructure spend.
Built pipelines to provision and destroy environments on-demand
Separated persistent data concerns from ephemeral compute layers
Enabled scheduled shutdowns for non-critical stacks
Right-sized baseline compute to match real usage patterns
Added guardrails to prevent accidental cost spikes
Improved visibility into top spend drivers by environment
8 Weeks; Terraform modeling + automation rollout + right-sizing
Converted infrastructure into Terraform modules Established change/review workflow and tagging
Provision/destroy pipelines On-demand dev/stage workflows
Right-sizing pass Cost guardrails and policy baseline
within 60 days • Reasonable placeholder to be confirmed
post-ephemeral rollout • Dev/stage no longer 24/7
after automation • Previously 2–3 days (placeholder)
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