Compute Optimization | Cut development compute costs without sacrificing productivity

Optimize compute without sacrificing developer productivity.

Give platform teams centralized control over development infrastructure, so engineers get fast, on-demand workspaces and the business stops paying for compute nobody's using.

Development resources are expensive and often overprovisioned.

Idle workspaces, oversized instances, and growing AI consumption can quickly inflate development costs. Coder gives platform teams a single control plane to centralize workloads, automate workspace management, and gain visibility into infrastructure and AI usage.

Right-size development resources

Match compute to actual project requirements, not fixed allocations.
Standardize workspace sizing with templates.
Set consistent sizing policies across teams to reduce overprovisioning.

Minimize and control idle resources

Automatically stop idle workspaces and bring them back when developers return.
Schedule startup and shutdown policies by team.
Pay only for active development resources.

Centralize cost visibility and control

Track infrastructure utilization and AI consumption in one place.
Plan capacity based on real usage data.
Apply team- and user-level quotas to prevent runaway infrastructure costs.

Enterprises deploying Coder at scale.

The auto start and stop features, along with workspace lifecycle management, optimize cloud costs and prevent resource wastage. Auto start and stop are especially helpful because they eliminate idle resource costs without needing manual intervention, starting the workspace automatically when I log back in.
Govind J
Technical Lead @ Enterprise (>1000 employees)

Bring tools you love

Centralize development compute and reduce waste.

With Coder, development workloads run on shared infrastructure managed centrally by platform teams. Developers get dedicated, self-hosted environments on demand, and enterprises reduce waste from idle resources, oversized instances, and fragmented tooling.

Automate workspace lifecycle

Automatically stop idle workspaces and restart them when developers return.
Schedule workspace availability around team requirements.
Reduce unnecessary compute consumption without changing developer workflows.

Optimize resource utilization

Run development workloads on shared infrastructure, not dedicated hardware per developer.
Set team- or user-level quotas to prevent oversizing and runaway costs.
Pool compute and allocate it dynamically by demand, validated at scale across multi-team deployments.

Observe and manage costs

Monitor workspace activity and resource consumption across teams and environments.
Apply workspace policies at scale across teams and environments.
Surface utilization trends that inform infrastructure cost decisions, giving finance and engineering a shared view.

Skydio reduces cloud computing costs by 90% with Coder
Read the case study

FAQs

Is Coder compliant with regulations like GDPR or DORA?

Coder helps you meet compliance goals by running entirely within your own infrastructure. This means your data stays where you control it — critical for meeting FedRAMP, GDPR, DORA, and similar requirements.