Data collection for modern environments
Chronosphere's open source data collection is purpose-built for the demands of modern, Kubernetes environments. With universal compatibility and support for all key open-source formats, it ensures seamless integration with your existing observability data.
Data Collection scales effortlessly to meet your evolving needs, providing a robust foundation for your observability strategy.
Ingest high-cardinality metrics at scale with Chronosphere's massively scalable platform. Leverage open-source standards like Prometheus, OpenTelemetry, and StatsD ingestion protocols for seamless integration with your existing monitoring tools.
Gain deeper insights into the performance of your microservices with distributed tracing. Chronosphere supports open-source standards like OpenTelemetry, Jaeger, and Zipkin, allowing you to ingest and analyze traces seamlessly alongside your metrics.
Flexible Data Ingestion
Effortlessly transition to Chronosphere with support for a range of data formats, including proprietary ones like Datadog, SignalFx, and Wavefront.
Open Source Compatible
Avoid vendor lock-in by collecting your data using well-known open source tools and standards like Prometheus and OpenTelemetry.
Architected for Performance
Chronosphere is built to handle data from small to planet-scale workloads. Flexible deployment and configuration options ensure optimal performance regardless of your needs.
The Chronosphere Collector offers a highly scalable and efficient way to collect metrics and traces from your environment. Deploy a lightweight Collector on each node, eliminating the need for large, resource-intensive Prometheus instances.
Chronosphere Collector simplifies data collection with full support for a wide range of formats, including:
While scraping metric endpoints is the preferred method, the Collector offers flexible ingestion options to suit your needs.
PromQL
compatible
Chronosphere seamlessly integrates with the OpenTelemetry Collector, simplifying the ingestion of metrics and traces from a range of sources. This integration provides a more flexible and efficient data collection process, enabling faster and more comprehensive analysis.
Benefit from a unified format for both metrics and traces, to streamline data collection and reduce configuration overhead. The OTLP Collector support is ideal for organizations looking to consolidate their observability data in a more efficient and organized way.