|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Netdata||63,310||an hour ago||333||gpl-3.0||C|
|Real-time performance monitoring, done right! https://www.netdata.cloud|
|Cilium||15,553||15||31 minutes ago||547||September 14, 2022||1,167||apache-2.0||Go|
|eBPF-based Networking, Security, and Observability|
|Victoriametrics||8,631||4||an hour ago||174||September 08, 2022||676||apache-2.0||Go|
|VictoriaMetrics: fast, cost-effective monitoring solution and time series database|
|Prometheus Operator||8,067||259||an hour ago||295||September 20, 2022||288||apache-2.0||Go|
|Prometheus Operator creates/configures/manages Prometheus clusters atop Kubernetes|
|Scope||5,555||8 months ago||72||January 25, 2022||451||apache-2.0||Go|
|Monitoring, visualisation & management for Docker & Kubernetes|
|Ntopng||5,329||2 hours ago||1||February 27, 2018||227||gpl-3.0||Lua|
|Web-based Traffic and Security Network Traffic Monitoring|
|Cortex||5,095||96||17 hours ago||325||July 15, 2022||188||apache-2.0||Go|
|A horizontally scalable, highly available, multi-tenant, long term Prometheus.|
|Pixie||4,635||10 hours ago||88||April 24, 2021||234||apache-2.0||C++|
|Instant Kubernetes-Native Application Observability|
|Kube State Metrics||4,571||48||2 hours ago||93||June 03, 2022||68||apache-2.0||Go|
|Add-on agent to generate and expose cluster-level metrics.|
|Opencost||3,792||1||4 hours ago||68||September 19, 2022||146||apache-2.0||Go|
|Cross-cloud cost allocation models for Kubernetes workloads|
DeepFlow is an automated observability platform for cloud-native developers.
DeepFlow is a highly automated observability platform for cloud-native developers. Using new technologies such as eBPF, WASM, and OpenTelemetry, DeepFlow innovatively implements core mechanisms such as AutoTracing, AutoMetrics, AutoTagging, and SmartEncoding, which greatly avoids code instrumentation and significantly reduces the resource overhead of back-end data warehouses. With the programmability and open API of DeepFlow, developers can quickly integrate it into their own observability stack.
For more information, please visit the documentation website.
There are three editions of DeepFlow:
The DeepFlow Community Edition consists of the core components of the Enterprise Edition.
Please refer to the deployment documentation.
At the same time, we have also built a complete DeepFlow Community Demo, welcome to experience it. Login account/password: deepflow/deepflow.
DeepFlow Cloud is the fully-managed service of DeepFlow, currently in beta and only supports Chinese.
DeepFlow Enterprise supports full-stack and end-to-end monitoring of hybrid cloud, covering containers, cloud servers, hosts, and NFV gateways, currently only supports Chinese, welcome to contact us for experience.
DeepFlow Community Edition consists of two components, Agent and Server. An Agent runs in each K8s node, legacy host and cloud host, and is responsible for AutoMetrics and AutoTracing data collection of all application processes on the host. Server runs in a K8s cluster and provides Agent management, tag injection, data ingest and query services.
Here is our future feature plan. Issues and Pull Requests are welcome.