PerCap Native delivers a lightweight runtime that embeds directly into software stacks, enabling per core licensing and execution tracing at the hypervisor level. This approach helps enterprises align compute billing with actual CPU throughput while maintaining strict isolation between tenants.
Architects choose PerCap Native when they need precise usage telemetry, fine-grained policy enforcement, and minimal overhead in multi tenant environments. The platform integrates with orchestration tools, service meshes, and billing systems to provide end to end visibility from instruction to invoice.
Product Architecture Overview
PerCap Native is built around a small runtime shim that reports core level events to a centralized control plane. The following table summarizes the core components, purpose, and typical deployment footprint of the platform.
| Component | Role | Deployment Scope | Typical Overhead |
|---|---|---|---|
| Hypervisor Plugin | Attaches CPU usage events to tenant IDs at VM start | Host level | Low |
| Runtime Shim | Exposes per core metrics to guest OS without guest modification | Per workload | Minimal |
| Policy Engine | Enforces caps, affinity, and QoS rules per core | Cluster level | Moderate |
| Billing Adapter | Translates core seconds into chargeable units | Management plane | Low |
| Observability Stack | Correlates core level metrics with traces and logs | Platform wide | Moderate
Per Core Licensing Models
PerCap Native maps licensing to physical core allocation rather than socket count or VM footprint. This enables predictable pricing when workloads move across nodes and helps avoid hidden costs from over subscription.
Models include dedicated core pools, shared core bursting, and hybrid arrangements where organizations pay for a baseline commitment plus metered burst capacity. Each model supports real time adjustments through policy APIs.
Performance and Isolation Characteristics
By instrumenting at the hypervisor level, PerCap Native captures cycles used by guest workloads with minimal added latency. Resource isolation is enforced through CPU pinning and quota controls that are applied before scheduler decisions.
Engineers can simulate noisy neighbor scenarios in staging environments to validate that caps and affinities behave as expected. The platform exposes latency histograms and core steal metrics to help tune quality of service tiers.
Operations and Integration Workflows
Operations teams integrate PerCap Native with existing CI CD pipelines using controllers or sidecar injectors. Policies are versioned alongside application definitions, ensuring that core allocations travel with the workload through promotion stages.
Observability pipelines forward core level metrics to monitoring dashboards, allowing SREs to correlate licensing units with service level objectives. Automation hooks enable dynamic scaling policies that react to sustained core utilization patterns.
Security and Compliance Enforcement
PerCap Native supports attestation workflows that tie core allocation decisions to verified runtime measurements. Compliance rules can restrict which cores sensitive workloads may use and enforce encryption settings for data in transit between cores.
Audit trails capture who changed capacity assignments, when, and with what governance approval. This simplifies reviews for regulated workloads and helps organizations demonstrate adherence to internal control frameworks.
Operational Best Practices and Recommendations
- Define baseline core allocations per service tier to stabilize cost predictability.
- Use burst policies for workloads with periodic spikes instead of permanently oversized instances.
- Correlate core usage with application latency to right size performance critical paths.
- Leverage attestation and compliance rules for workloads subject to regulatory audits.
- Automate policy adjustments based on time of day or business cycle events.
FAQ
Reader questions
How does PerCap Native track core usage across dynamic container workloads?
The runtime shim reports task level core usage to the control plane, which aggregates per workload and enforces caps even when pods move across nodes.
Can PerCap Native apply different billing units for mixed instance families?
Yes, the billing adapter normalizes core seconds across instance families, enabling consistent metering while preserving performance characteristics tied to specific hardware.
What happens to running workloads when a core cap is reduced via policy?
The scheduler attempts graceful throttling, and workloads that exceed the new cap are limited at the next scheduling interval, with events logged for operational review.
Does PerCap Native require changes to the guest operating system or application binaries?
No, the runtime shim operates externally, so guest OS images and application binaries remain unchanged while still benefiting from precise core level telemetry.