DeepFlow icon
DeepFlow icon

DeepFlow

Unify your cloud-native monitoring with zero-code eBPF, advanced profiling, and 10x storage efficiency.

DeepFlow screenshot 1

Cost / License

  • Free
  • Open Source

Platforms

  • Self-Hosted
  • Software as a Service (SaaS)
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  1.  No Coding Required

 Tags

  • data-profiling
  • distributed-tracing
  • data-observability
  • ebpf
  • Observability

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DeepFlow information

  • Developed by

    CN flagYUNSHAN Networks
  • Licensing

    Open Source (Apache-2.0) and Free product.
  • Written in

  • Alternatives

    62 alternatives listed
  • Supported Languages

    • English

GitHub repository

  •  3,649 Stars
  •  412 Forks
  •  226 Open Issues
  •   Updated  
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DeepFlow was added to AlternativeTo by Paul on and this page was last updated .
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What is DeepFlow?

Instant observability for cloud-native applications.

Universal Map for Any Service

DeepFlow provides a universal map with Zero Code by eBPF for production environments, including your services in any language, third-party services without code and all cloud-native infrastructure services. In addition to analyzing common protocols, Wasm plugins are supported for your private protocols. Full Stack golden signals of applications and infrastructures are calculated, pinpointing performance bottlenecks at ease.

Distributed Tracing for Any Request

Zero Code distributed tracing powered by eBPF supports applications in any language and infrastructures including gateways, service meshes, databases, message queues, DNS and NICs, leaving no blind spots. Full Stack network performance metrics and file I/O events are automatically collected for each Span. Distributed tracing enters a new era: Zero Instrumentation.

Continuous Profiling for Any Function

DeepFlow collects profiling data at a cost of below 1% with Zero Code, plots OnCPU/OffCPU function call stack flame graphs, locates Full Stack performance bottleneck in application, library and kernel functions, and automatically relates them to distrubuted tracing data. DeepFlow can even analyze code performance through network profiling under old version kernels (2.6+).

Seamless Integration with Popular Stack

DeepFlow can serve as storage backed for Prometheus, OpenTelemetry, SkyWalking and Pyroscope. It also provides SQL, PromQL and OLTP APIs to work as data source in popular observability stacks. It injects meta tags for all obervability signals including cloud resource, K8s container, K8s labels, K8s annotations, CMDB business attributes, etc., eliminating data silos.

Performance 10x ClickHouse

SmartEncoding injects standardized and pre-encoded meta tags into all observability data, reducing storage overhead by 10x compared to ClickHouse String or LowCard method. Custom tags and observability data are stored separately, making tags available for almost unlimited dimensions and cardinalities with uncompromised query experience like BigTable.

Official Links