What is
Chronosphere
?
Most platform initiatives fail the same way: they start too big, get funded like projects instead of products, build for too long without testing with users, and confuse renaming an infrastructure team with building a platform team. Instead, start small, learn fast and scale deliberately.
At a glance
Field | Value |
|---|---|
Primary use case | Cloud-native observability and troubleshooting with telemetry cost and volume control |
Required skills | Cloud-native observability, Kubernetes and containers, telemetry querying, pipeline source and destination configuration, telemetry processing rules |
Supported integrations | Kubernetes |
Source type | Closed |
AEP branch | Tooling |
AEP category | Observability Plane |
AEP subcategory | Full-stack Incumbents |
Profile
Full-stack Incumbents is Chronosphere’s most specific AEP level. Chronosphere offers an end-to-end Observability Platform for finding and resolving customer-impacting issues, alongside Telemetry Pipeline for collecting, transforming, and routing telemetry. The platform is designed to help teams select useful data, reduce observability spend, and improve developer efficiency.
Focus
Chronosphere targets teams operating microservices and containers in cloud-native environments. It helps them detect, understand, and remediate issues while controlling observability costs and complexity, including by shaping telemetry data during ingestion and routing it between sources and destinations.
Background
The supplied research states that Palo Alto Networks completed its acquisition of Chronosphere. Chronosphere describes Telemetry Pipeline as coming from the creators of Fluent Bit and Calyptia. The supplied research does not provide details about Chronosphere’s founding or funding.
Features
Observability Platform
Provides end-to-end observability to help teams find and resolve customer-impacting issues while making use of relevant telemetry. Chronosphere reports that teams using the platform reduce critical incidents by up to 75%; the platform supports telemetry querying and service exploration with tracing data.
Telemetry Pipeline
Collects, transforms, and routes telemetry to help teams manage data volume and complexity. Pipeline source plugins ingest data by receiving it (push) or collecting it (pull); pipelines can be configured with sources, destinations, and processing rules. Chronosphere reports an average 89% reduction in low-value data volumes and says Telemetry Pipeline is 20x more resource efficient than other providers.
AI-guided troubleshooting
Helps teams resolve incidents by identifying root causes, guiding next steps, and learning from fixes. Chronosphere says the AI feature is designed to help teams resolve issues in minutes rather than hours.
Pros and cons
Pros
Chronosphere reports an average 89% reduction in low-value data volumes and up to 75% fewer critical incidents for teams using the platform.
Telemetry Pipeline supports configurable sources, destinations, and processing rules, and can ingest data using push or pull source plugins.
Chronosphere reports that Telemetry Pipeline is 20x more resource efficient than other providers.
Cons
FAQs
Chronosphere FAQs
Who owns Chronosphere?
Palo Alto Networks owns Chronosphere; the supplied research states that Palo Alto Networks completed its acquisition of Chronosphere.
Is Chronosphere an AI company?
Chronosphere is an observability platform with an AI-guided troubleshooting feature; the supplied sources do not classify Chronosphere as an AI company.
How does Chronosphere work?
Chronosphere collects telemetry through configured pipeline sources, applies processing rules, and routes data to destinations; source plugins can receive data (push) or collect it (pull). Chronosphere’s Observability Platform supports telemetry querying and service exploration with tracing data.
What integrations does Chronosphere support?
Chronosphere lists Kubernetes as a supported integration.
What skills are required to use Chronosphere?
The listed required skills for Chronosphere are Cloud-native observability, Kubernetes and containers, telemetry querying, pipeline source and destination configuration, telemetry processing rules.
