Compute OptimizationOptimize 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.
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
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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.
Is Coder SOC 2 Type II certified?
Does Coder work with my existing tools?
How does Coder support compliance in highly regulated industries?
What IDEs and languages are supported?
Is Coder secure enough for regulated industries?
Can I use Coder with AI coding agents or ML workloads?