Alternatives to DeepFlow

{"intro": "DeepFlow targets complex cloud infrastructure and cloud-native applications with an eBPF-based observability suite: a universal service map, distributed tracing, continuous profiling, and collection of application metrics without intrusion. It parses protocols including HTTP, gRPC, databases, Kafka, and DNS, while AutoTagging links data to cloud and Kubernetes resources and CMDB tags. Prometheus, OpenTelemetry, SkyWalking, and Pyroscope can use it as a storage backend through SQL, PromQL, and OTLP interfaces.\n\nDeepFlow supports Linux, Windows, Android, web, APIs, and self-hosting, but teams seeking another fit may prioritize more focused network analysis, runtime evidence capture, profiling, or AI-agent controls. When switching, compare which signals are collected, whether data can be routed to existing tools, the deployment and platform requirements, and whether the plan includes the management, security, and support features you need.", "rows": [{"ref": "sw:coroot", "name": "Coroot", "best_for": "eBPF observability with cloud-cost insights and risk detection", "pricing": "Free plan; paid from $1/mo; 14-day trial", "key_difference": "Coroot adds cloud-cost insights, risk detection, and AI root-cause analysis to eBPF metrics, logs, traces, and profiles.", "choose_when": "Choose Coroot when cloud-cost visibility and incident-cause suggestions matter more than DeepFlow's protocol parsing and resource tagging."}, {"ref": "sw:kubeshark", "name": "Kubeshark", "best_for": "Kubernetes network traffic analysis and TLS decryption", "pricing": "Free plan; paid from $30/mo", "key_difference": "Kubeshark focuses on queryable Kubernetes network traffic, TLS decryption, and retrospective PCAP snapshots rather than broad application observability.", "choose_when": "Choose Kubeshark when cluster-wide traffic inspection, filtering, and export matter more than DeepFlow's continuous profiling and tracing."}, {"ref": "sw:odigos", "name": "Odigos", "best_for": "Live runtime evidence capture and virtual patching", "pricing": "Free plan; 14-day trial", "key_difference": "Odigos captures runtime signals and function values live, and can block matching application calls before a code release.", "choose_when": "Choose Odigos when you need function-level evidence capture or virtual patching alongside configurable OpenTelemetry exports."}, {"ref": "sw:elastic-observability", "name": "Elastic Observability", "best_for": "Log pipelines, parsing, tailing, and archive export", "pricing": "Pricing on request; 14-day trial", "key_difference": "Elastic Observability specifies log pipelines, structured parsing, live tailing, and archive export, while DeepFlow emphasizes eBPF telemetry and tracing.", "choose_when": "Choose Elastic Observability when its specified log handling and archive export are a closer fit than DeepFlow's service map and profiling."}, {"ref": "sw:groundcover", "name": "groundcover", "best_for": "Cloud-native eBPF monitoring with managed BYOC backend", "pricing": "Free plan; paid from $30/mo; 14-day trial", "key_difference": "groundcover processes telemetry at the edge and offers a managed backend deployed in the customer's cloud.", "choose_when": "Choose groundcover when a managed backend in your cloud and real-time, unsampled ingestion fit your deployment needs."}, {"ref": "sw:qpoint", "name": "Qpoint", "best_for": "AI-agent activity monitoring and policy enforcement", "pricing": "Free plan", "key_difference": "Qpoint governs AI-agent activity with endpoint-level policies, rather than providing DeepFlow's general infrastructure observability suite.", "choose_when": "Choose Qpoint when you need to monitor and block agent actions across endpoints and export events to existing tools."}, {"ref": "sw:metoro-kubernetes-profiling", "name": "Metoro Kubernetes Profiling", "best_for": "Continuous eBPF profiling of Kubernetes workloads", "pricing": "Free plan; paid from $20/mo; 14-day trial", "key_difference": "Metoro specializes in Kubernetes profiling with flame graphs and connects profiles to traces, logs, metrics, and deployment context.", "choose_when": "Choose Metoro when Kubernetes workload profiling and profile-to-deployment correlation matter more than DeepFlow's broader protocol and resource coverage."}]}