Kloudfuse ingests, stores and queries billions of high-volume event streams without sampling. Process 100% of your events for complete insight, and alert in real time on system updates, pod crashes, availability failures and SLO breaches.
Kloudfuse Events · the unsampled stream, faceted by source, severity and kind
Billions of high-volume event streams, ingested, stored and queried rapidly and cost-effectively. Nothing is dropped to make the bill work, so nothing is missing when you investigate.
Kubernetes, cloud services, GitHub and CI/CD pipelines, collected and analyzed together. Events from every layer land in one place instead of one console per source.
Watch the stream live or scope it to a timeframe. Alerts fire on system updates, pod crashes, availability failures, latency degradation and SLO breaches.
Events from Kubernetes, cloud services, GitHub and CI/CD land in the same lake as your logs, metrics and traces — filtered, searched, turned into metrics, and watched by the same ML that runs on every other signal.
Avoid sampling. Kloudfuse collects and analyzes events from diverse sources in one unified interface, integrating with over 700 platforms — Kubernetes, cloud services, GitHub and CI/CD pipelines among them.
View events in real time or within a specified timeframe, monitor system operations, and receive alerts for potential issues — from a single pod crash to an SLO breach across the service.
Explore event data with filters, search and analytics tools. Generate custom metrics for deeper insights, and let built-in ML/AI surface the anomalies and outliers you would not have thought to query for.
Any discrete state change your systems emit — Kubernetes pod crashes and scaling actions, deployments, cloud service activity, GitHub and CI/CD pipeline runs, and platform signals such as SLO breaches. Events land on the same data plane as your logs, metrics, traces and RUM.
No. Kloudfuse processes 100% of your events. Billions of high-volume event streams are ingested, stored and queried without sampling, so the event you need during an investigation is still there.
Over 700 platforms, including Kubernetes, cloud services, GitHub and CI/CD pipelines. Everything is collected and analyzed in one unified interface rather than one console per source.
System updates, pod crashes, availability failures, and degradation caused by higher latencies — plus advanced alerts such as SLO breaches. Events are one of the signals the Kloudfuse alert engine evaluates, alongside metrics, logs, APM, traces and RUM.
Yes. Generate custom metrics from event data for deeper insights, then chart them, alert on them, or join them to the rest of your telemetry.
Built-in ML/AI identifies anomalies and outliers in event data, so unusual patterns surface without you having to write the query that would have caught them.
Inside your VPC, under your keys, on the same observability data lake as every other signal. Kloudfuse runs event ingestion, storage and query in your customer-owned data plane.
Predictable pricing on one axis: terabytes ingested, across every signal. No per-host charge, no per-seat tier and no cardinality premium.
How events are collected, faceted and queried, and how to wire up the Kubernetes, cloud, GitHub and CI/CD sources you already run.
Read the guideWhich events deserve a page, which deserve a channel, and how to route the rest so the signal survives the volume.
Read the blogSampling policy, event retention, integration coverage and ingest cost. A side-by-side breakdown for teams evaluating both.
See the comparisonThirty minutes on your telemetry. The cause, before the call ends.