Overview
The observability platform that pays for itself. ClarityNxt joins open FOCUS cloud billing data with live OpenTelemetry and container resource telemetry, so cost is attributed to the endpoint, tenant and release that caused it — not just the node or namespace.
Why traditional tools fall short
Billing lag
Cloud billing exports arrive hours to a day late, so an expensive autoscaling loop or runaway query is discovered the next morning — after the money is spent.
Bill-only blind spots
Cost tools that only read the bill can see a node or a namespace, but not the workload. They can't answer which endpoint or release tripled the spend.
Recommendations nobody acts on
Static right-sizing reports go unread because engineers can't tell whether a lower limit is safe for production latency.
The ClarityNxt advantage
Unit economics and shadow cost
Billing in the open FOCUS schema is joined with traces and container resource usage. ClarityNxt keeps a near-real-time shadow run rate and computes true unit economics — cost per 1k requests, per tenant, per endpoint.
Key capabilities
Real-time shadow run rate
A shadow cost estimated every few minutes from active resource requests and cloud pricing, so spend is visible now instead of when the bill lands.
Telemetry-correlated unit economics
Cloud cost joined with distributed traces: cost per 1k requests, per tenant and per endpoint, and the release where it changed — e.g. a version that doubled CPU requests with no latency gain.
Resource drift and p95 right-sizing
Configured limits compared with actual p95 CPU and memory use, side by side, to catch both over-provisioning and throttling risk.
Cost anomalies and forecasting
Unusual spend flagged as it happens, with forecasts of where the month will land.
Savings Plan and RI coverage
Savings Plan and Reserved Instance coverage modelled against actual usage before you commit.
INR and multi-currency native
Reporting in INR with GST, or your billing currency of choice.
Business impact
- Spend visible in near real time, not a day later
- Engineering showback: cost per endpoint and per release while features ship
- Right-sizing backed by real p95 usage, so it's safe to act on
- Cost and performance answered from the same data
Delivery
FinOps & Cloud Cost is part of the full platform in both delivery models — there is no cut-down edition.
SaaS · Fully managed
We run the platform, handle upgrades, scaling and backups. You point your collectors at an endpoint and start asking questions the same afternoon.
PaaS · Your infrastructure, our platform
The full platform deployed into your own Kubernetes clusters or VMs, with telemetry never leaving your network boundary. We operate and support it where you host it.