JsonFlow is a versatile software that can operate on VM, Docker, and X86 servers. It analyzes various sessions like TCP/UDP/HTTP/SQL and their associated process/CPU/MEM. The software output includes 20 KPIs, 10 latency and URL/SQL by JSON. It has features to capture packets by FIFO, playback PCAP or forward packets to remote.
As a cloud traffic analysis tool, JsonFlow offers a featherweight body and complete function, making it a top choice. It works seamlessly on VMs, Docker, X86 servers, and PCs, regardless of the user's business type and network architecture.
One of the most significant advantages of JsonFlow is its versatility in deployment. It can be used as a host AGENT program or independently deployed to receive network traffic from SPAN/RSPAN/ERSPAN. Additionally, it can automatically analyze VXLAN/GRE protocol traffic.
JsonFlow boasts real-time analysis of TCP/UDP/HTTP/SQL sessions and their associated process information. Users can output 20 KPIs and 10 latency statistics as well as URL/SQL and process name/CPU/MEM by JSON. The data can be stored locally for playback or query and shared with remote data collectors such as KAFKA, logstash, etc., in real-time. Without any need for development, ES can use these data directly.
Users can take advantage of JsonFlow's packet capture feature that saves to local PCAP files by FIFO, and playback PCAP or forward packets (in real-time) to a remote address by VXLAN. It even provides RESTful API.
Once combined with VPM Cloud Traffic Monitoring or integrated with the user's big data platform, JsonFlow can realize real-time online monitoring of abnormal traffic and performance.
Since JsonFlow is a pure C program, both the Linux or Windows version of it can be used without any dependencies to install. Another critical aspect is that JsonFlow only occupies 50MB of memory, and even at 500Mbps, it only occupies 8% on only one vCPU.
Overall, JsonFlow is the best partner for cloud traffic visualization, representing the highest level of cloud traffic capture, analysis, distribution, and backtracking without consuming unnecessary resources or affecting other applications.
One of the most significant advantages of JsonFlow is its versatility in deployment. It can be used as a host AGENT program or independently deployed to receive network traffic from SPAN/RSPAN/ERSPAN. Additionally, it can automatically analyze VXLAN/GRE protocol traffic.
JsonFlow boasts real-time analysis of TCP/UDP/HTTP/SQL sessions and their associated process information. Users can output 20 KPIs and 10 latency statistics as well as URL/SQL and process name/CPU/MEM by JSON. The data can be stored locally for playback or query and shared with remote data collectors such as KAFKA, logstash, etc., in real-time. Without any need for development, ES can use these data directly.
Users can take advantage of JsonFlow's packet capture feature that saves to local PCAP files by FIFO, and playback PCAP or forward packets (in real-time) to a remote address by VXLAN. It even provides RESTful API.
Once combined with VPM Cloud Traffic Monitoring or integrated with the user's big data platform, JsonFlow can realize real-time online monitoring of abnormal traffic and performance.
Since JsonFlow is a pure C program, both the Linux or Windows version of it can be used without any dependencies to install. Another critical aspect is that JsonFlow only occupies 50MB of memory, and even at 500Mbps, it only occupies 8% on only one vCPU.
Overall, JsonFlow is the best partner for cloud traffic visualization, representing the highest level of cloud traffic capture, analysis, distribution, and backtracking without consuming unnecessary resources or affecting other applications.
What's New
Version 3.0.0:
1. Added association function between communication session and process information (name/CPU/memory);
2. Added PCAP traffic playback function;
3. Added Restful API;
4. Added query function in JSON file;
5. Fixed some bugs.