Chronosphere Application Observability vs Pixie
Chronosphere Application Observability
chronosphere.ioPixie
px.devSide by side
| Figure | Chronosphere Application Observability | Pixie |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 4 | 2 |
| Spec score · Kubernetes Monitoring | 9.0 (#4) | 7.6 (#35) |
| Spec score · Cloud Monitoring | 8.9 (#5) | 7.5 (#18) |
| Founded | 2019 | 2018 |
| Purpose | Chronosphere provides observability for cloud-native applications and microservices to help teams detect and resolve issues. | Pixie is open-source Kubernetes observability and debugging software for developers. |
| Security | Chronosphere states that it is SOC 2 Type 2 and ISO 27001 audited and encrypts customer data at rest and in transit using TLS 1.2 or higher and AES 256. | Pixie telemetry traffic is encrypted in transit, and the requirements page says telemetry passes through Pixie Cloud without persistence. |
| Support | Customer support includes 24/7 year-round communication through Slack, Zendesk, or email, plus optional office hours and calls. | The project directs users to its Community Slack, troubleshooting guide, and GitHub issue tracker for help. |
Plans
Chronosphere Application Observability
- Chronosphere pilotFree
- PilotFree
- Chronosphere Observability PlatformPriced on request
- Custom enterprise subscriptionPriced on request
In their own words
Chronosphere Application Observability
Chronosphere Application Observability is a cloud service for helping teams find and resolve problems in cloud-native applications and microservices. Chronosphere Lens creates service views aligned with an application’s architecture. Teams can use RED metrics and service-level objectives to understand performance and service dependencies, while metrics, logs, traces, and events are correlated with system changes and their effects. Distributed tracing maps request paths across components to help locate latency and inter-service communication issues. Dynamic trace sampling is offered to balance observability insight with cost. The service accepts open telemetry formats including Prometheus and OpenTelemetry. Listed alerting connections include Slack, PagerDuty, OpsGenie, VictorOps, email, and a general-purpose webhook. Pricing for the Observability Platform is based on useful data retained and customized for each organization; no price is listed. Pilots are typically free and average 2–3 weeks, though large-scale or long-term pilots may be paid. A free trial is offered, but there is no free plan. Customer support includes year-round, 24/7 communication through Slack, Zendesk, or email, with optional office hours and calls.
Pixie
Pixie is open-source Kubernetes observability and debugging software for developers. It collects metrics, events, traces, and logs without code changes, using dynamic eBPF probes and ingestors. Users can run community, team, or custom scripts to debug as code and share sessions. Its CLI provides health checks and charts, with a browser interface available when needed. Pixie supports hosted and self-hosted deployments; its Vizier data-collection component runs in the Kubernetes cluster. Requirements include Kubernetes v1.21 or later and Linux nodes, and pods that install BPF programs need privileged access to the Linux kernel. The project lists Cosmic Cloud and New Relic Cloud as free hosted versions. Pixie lists Minikube, EKS, GKE, AKS, and self-managed Kubernetes environments. Telemetry traffic is encrypted in transit. The requirements page says telemetry passes through Pixie Cloud without persistence, while the install guide says hosted-backend telemetry data is stored exclusively on the Kubernetes cluster, not in Pixie Cloud. Listed unsupported environments include EKS Fargate, GKE Autopilot, Docker Desktop, k3d, kind, and Windows. Help options include Community Slack, a troubleshooting guide, and GitHub issues.