Goals

• mapping the requested flows
• mapping the actual flows
• presenting a graphic that materialize flows

Target

• extension of the reminder apps ?

Execution mode

In each mode below, binary is the same, only mode param value change.

Agent

"One shot mode", agent start, analyse connections for the host on which it is running and sends results to apiserver module. Agent mode list:

• check-agent: create pseudo servers and test connections
• probe-agent: lists the ports actually listening

Server

Long running mode : receives report from agents, persist them into database and render graph. Server mode list :

• apiserver: receives report from agents, persist them into database
• graphviz: presents dashboard graphics (d3js)

Params list

usage: 
    portchecker apiserver
      or
    portchecker graphviz
      or
    portchecker check-agent --mapping_file_url<mappingFileUrl> --analysis_id <analysis_id>
      or
    portchecker probe-agent --analysis_id <analysis_id>

Mode: run mode. Must be one of :

• check-agent
• probe-agent
• apiserver
• graphviz

mappingFileUrl : local path to file that contains the description of fluxes to tests

analysis_id: ID that identify the analysis number (agents have no valid solution to determine which is the current test session ID)

others settings_ : All constant defined in conf/constants.go can be overriden by and Environment variable with the same name.

Requirements

• database

=> For now, provisionned with docker-compose.yml file : only for dev mode

Global launch mode

• Start apiserver
• Launch agents on each instance to test : The agents can be launched via Ansible, create their report and send to the server API. Max. Execution = 2 min
• Launch graphviz to generate static web server that contains files to generate D3JS reports. Datas in graph have been extracted by apiserver