What is Chronosphere?
Chronosphere is a cloud-native observability platform built on the open-source M3 metrics engine, aimed at controlling the cost and cardinality of telemetry data from Kubernetes and microservices at scale. Palo Alto Networks has announced it completed its acquisition of Chronosphere, positioned as unifying observability and security; the product currently still operates under the Chronosphere brand.
Read the full overview
Sources checked 27 September 2026: official website (acquisition banner: "Palo Alto Networks Completes Chronosphere Acquisition"), documentation.
Key capabilities
- Metrics platform: M3-based metrics storage built for high-cardinality Kubernetes/microservices data.
- Cost controls: Tooling to identify and drop low-value telemetry before it's billed.
- Logs and traces: Unified observability alongside metrics, sold on enterprise contracts.
Validate telemetry cost-control claims against a real workload sample, confirm data retention and query performance at your cardinality, and ask how the Palo Alto Networks acquisition affects contract terms and product direction.
Shortlist Chronosphere when telemetry cost/cardinality control at scale is the priority, and confirm current contract terms and integration roadmap given the recent Palo Alto Networks acquisition.
Chronosphere's pitch is controlling observability cost at scale; buyers should now also weigh how integration into Palo Alto Networks affects long-term roadmap, standalone pricing and support.
Technical details
- Access
- See vendor
- Source model
- Other license
- Founded
- 2019
- Headquarters
- New York, USA
- Pricing model
- Contact sales
- API
- Available
- Website
- chronosphere.io ↗
Official resources
What to verify for your environment
Start from the users, systems and operating responsibilities the tool needs to support.
- Confirm current features, licensing and support terms with the publisher.
- Validate deployment, data location, access control, backup and recovery requirements.
- Test integrations, export paths and a representative operational workflow before committing.
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