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As of September 2023, DeepFlow has iterated to version v6.3.9, and the main supported features include:

• Universal Map (AutoMetrics)
  • TCP network performance metrics based on cBPF
  • Various application protocol parsing and performance analysis capabilities based on cBPF
  • Various application protocol parsing and performance analysis capabilities based on eBPF tracepoint/kprobe
  • File read/write performance metrics based on eBPF
  • Golang application HTTP2 and gRPC protocol parsing and performance analysis capabilities based on eBPF uprobe
  • Golang/openssl application HTTPS protocol parsing and performance analysis capabilities based on eBPF uprobe
  • Enhanced standard protocol parsing capabilities using Wasm and so plugins, and the ability to parse private protocols
• Distributed Tracing (AutoTracing)
  • Zero-intrusion distributed tracing capabilities based on eBPF, supporting same-thread for any application and cross-coroutine for Golang applications
  • Extract business serial numbers using Wasm/so plugins to achieve zero-intrusion distributed tracing capabilities relying only on cBPF
  • Parse fields such as X-Request-ID in requests to trace the call chain before and after ALB
  • Parse MySQL Comment fields in requests to trace MySQL call chains
  • Parse fields such as TraceID/SpanID in requests to trace cross-thread call chains
  • Automatically trace network forwarding paths and calculate hop-by-hop performance
• Continuous Profiling (AutoProfiling)
  • Zero-intrusion collection of Profile data for C/C++/Golang/Rust/Java applications using eBPF
  • Zero-intrusion collection of On-CPU Profile using eBPF
• AutoTagging & SmartEncoding
  • Automatically inject cloud resource tags and K8s service tags
  • Automatically inject K8s Label/Annotation/Env custom tags
  • Support injecting business tags from CMDB via API
  • Support injecting process business tags exposed by the business release system via Plugin
  • High-performance SmartEncoding tag storage and query capabilities
• Integration
  • Support integration of Prometheus and Telegraf metric data
  • Support integration of OpenTelemetry and SkyWalking tracing data, and associate with eBPF tracing data to achieve full-stack distributed tracing
  • Support integration of Pyroscope continuous profiling data
  • Support SQL/PromQL API, and act as a DataSource for Grafana
  • Support displaying distributed tracing data in Grafana Tempo
  • Support exporting tracing data to OpenTelemetry Collector
  • Support exporting tracing data to SkyWalking

As a plan, DeepFlow has many exciting features in the future:

• Universal Map (AutoMetrics)
  • Enhanced protocol parsing capabilities based on TCP stream reassembly
  • Built-in parsing capabilities for more application protocols, such as Elasticsearch
  • Support for more types of protocol parsing plugins, such as Lua
  • Support eBPF collection of more network and system performance metrics during the call lifecycle
• Distributed Tracing (AutoTracing)
  • Zero-intrusion distributed tracing capabilities based on eBPF to support more complex scenarios such as cross-thread and Golang Channel
  • Real-time aggregation and calculation of Trace topology based on Span (while retaining call chain relationships) to reduce storage overhead of tracing data
• Continuous Profiling (AutoProfiling)
  • Zero-intrusion collection of more types of Profile data using eBPF, such as Off-CPU, Memory, etc.
  • Eliminate the dependency of Profile data on application process symbol tables
  • Support zero-intrusion collection of Profile data for Node.js/Python/PHP/Ruby applications
• AutoTagging & SmartEncoding
  • Automatically inject business tags recorded by tenants on cloud platforms
• Integration
  • Support integration of Sentry RUM data source
  • Support integration of Promtail/Loki log data source
  • Support displaying log data in Grafana Loki GUI
  • Support exporting eBPF metric data as a Prometheus Exporter
  • Support exporting tracing data to Kafka