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Enterprise Layer Intelligence
Categories/APM & Observability/Chronosphere
Chronosphere

Chronosphere

Founded by Martin Mao

Monitor microservices and filter costly telemetry data

Pricing model

Free Trial, Paid

Rating

★ Positive

Time to value

Immediate

You can use Chronosphere to monitor cloud-native applications and microservices running on Kubernetes. It lets you collect, transform, and route telemetry data from various sources to any destination without vendor lock-in. By shaping data before ingestion, your team can eliminate low-value metrics and logs to lower infrastructure bills. Built-in troubleshooting guides direct engineers to root causes during critical incidents, speeding up repairs before outages impact end users. It provides engineering teams with full visibility into complex distributed systems while keeping storage demands manageable.

What Chronosphere does

Ingest and parse telemetry data across microservicesFilter out redundant monitoring logs and metricsDirect telemetry data streams to chosen storage destinationsDiagnose production errors within Kubernetes workloadsInspect performance anomalies across distributed container clustersAnalyze telemetry spend across different engineering teamsFilter out low-value telemetry data before ingestionRoute telemetry data from any source to any destinationTrace microservices issues directly within Kubernetes clustersGuided troubleshooting to identify incident root causesTelemetry pipeline architecture built on Fluent Bit technologyCustomizable data transformation rules to manage monitoring bills

Pricing breakdown

Pricing model: Free Trial, Paid

Frequently asked

KubernetesKubernetes

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Chronosphere, observability, Kubernetes monitoring, telemetry pipeline, microservices monitoring, incident resolution, root cause analysis, Prometheus, Fluent Bit, cloud native monitoring, log management, metrics collection, distributed tracing, APM, telemetry routing