What is Randoli Observability?

Profile

An OpenTelemetry-native observability platform that unifies logs, metrics, traces, events, and cost data, with local control planes for faster correlation and improved MTTD & MTTR — all without vendor lock-in.

Built around the separation of control plane and data plane: you keep control of where telemetry is stored and processed, enabling governance, compliance, and cost efficiency.

Transparent and predictable pricing that avoids complex ingestion-based models, giving teams confidence to scale observability without runaway costs.

Focus

Randoli Observability was built with a vision of separating the control plane from the data plane to overcome challenges associated with traditional observability platforms.

OpenTelemetry-native, federated control planes and on-demand telemetry translate to significant cost savings over traditional platforms that ingest telemetry into a centralized location, significantly increasing the cost with complicated ingestion-based pricing.

In addition to cost savings, local control planes enable faster correlation of telemetry resulting in improved MTTD & MTTR.

Background

Randoli was created by engineers experienced in Kubernetes, OpenTelemetry, and large-scaleobservability. The platform’s architecture reflects hands-on lessons from running distributed systems: keep data local, use open standards, and retrieve deep telemetry on demand.

Randoli main features

• OpenTelemetry-native: Collect & analyze telemetry without any vendor lock-in.
• Local log analysis: Detect recurring issues without shipping logs outside your environment.
• Federated control planes: Keep data local; fetch detailed telemetry on demand.
• Contextual incident reports: Correlate alerts with logs, metrics, and traces.
• FinOps: Kubernetes cost monitoring, optimization, rightsizing, and chargeback.
• Own your telemetry data: Control telemetry capture, retention, and retrieval to manage your costs.