jasonacox / gridbug

Simple web based visualization tool to show network connectivity between multiple nodes.

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GridBug

This is a simple tool to monitor network connectivity between nodes and display a graph.

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How it Works

The gridbug.py service pulls in a list of other GridBug nodes. It then proceeds to poll each of these nodes and records the state (link up or down).

All of the GridBug nodes act as servers and clients. Every node attempts to converge on the same graph by polling and sharing updates with each other. Each node builds a directional graph of connectivity between all the GridBug nodes and renders that as an HTML page using the cytoscape JavaScript visualization library.

The script can run as a serverless container, a hosted container or as a standalone (python) service.

Serverless Container

The service will run by setting local environmental variables for the node. This will make it easy to run in a serverless fashion (tested in AWS Fargate, Google Cloud Run, and Azure ACI):

Use Container: jasonacox/gridbug

# Set these environmental variables
BUGLISTURL="https://jasonacox.com/gridbugs.json"  # URL to gridbugs.json seed file
GB_ID="cloud-us-west"                             # Short descriptive name for this node 
GB_DEBUG="no"                                     # Debug mode yes/no
GB_NODEURL="autodiscover"                         # or Address/IP:PORT for this node
GB_GRIDKEY="RaNdomKeY-4-your-Grid"                # Unique key for your grid network

Using "autodiscover" the node will attempt to discover its own public IP address. If you are using an application load balancer or gateway, specify the DNS address or public IP address and port instead (e.g. 10.20.30.40:8777).

Cloud Serverless tips:

  • AWS ECS - When you create an Fargate service (task definition), you will need to specify the environmental variables (container overrides) as shown above.
  • Google Cloud Run - You will need to specify the port (8777) and create a vpc-connector to get a static address for your instance (see here). Deploy a test and it will provide an https address that you will use as the GB_NODEURL without the port (edit and deploy new revision with that environmental update).
  • Azure ACI - You will need to do a test deploy to get the URL of the container. Once you have that, you will use that as the GB_NODEURL with the port suffix (:8777).

Hosted Container Setup (Wizard)

A setup.sh script is available to help get you started.

  • ID - Every GridBug node needs a unique ID that will show up on the visualization. Make this descriptive enough to identify where it is on the grid. For example, 'CA-datacenter' and 'East-1-Cloud'. Each node will also need a URL (hostname:8777) that is accessible by the other GridBug nodes.

  • GRIDKEY - You will need to set a unique key (string of alphanumeric characters without spaces) for your grid network. This will be a shared key by all the GridBug nodes to authenticate other friendly GridNodes. This allow for dynamically adding new nodes to the grid as well.

    # Clone the Project
    git clone https://github.com/jasonacox/gridbug.git
    
    # Run the Setup script
    cd gridbug
    ./setup.sh
    
    # Open http://hostname:8777 to see the GridBug console

Hosted Container Setup (Manual)

  1. Create a gridbug.conf file (example below) and update with your specific location details. Make sure you update ID to be the unique name of the node.

  2. The GRIDKEY token should be a unique key (string of alphanumeric characters). It should be the same for all the GridBug nodes in your network. GridBug will reject any updates from nodes that do not match this key.

  • gridbug.conf - Configuration File

    [GRIDBUG]
    DEBUG = no
    ID = localhost
    NODEURL = example.com:8777
    ROLE = node
    CONSOLE = gridbug.html
    SERVERNODE = localhost:8777
    GRIDKEY = CRuphacroN2hOfachlsWipaxi4ude1rlbIn4v0Vispiho7tuWeSPADrUdR2pE0rl
    
    [API]
    # Port for API requests
    ENABLE = yes
    PORT = 8777
    
    [BUGS]
    POLL = 10
    TTL = 30
    TIMEOUT = 10
    
    [ALERT]
    # Notify connectivity issues - TODO
    ENABLE = yes
    
    • Note: There are environmental overrides that can be used to set all of the above configuration options.
  1. Create a gridbugs.json seed file and add some nodes for your grid. The host is the address and should include the port (e.g. :8777) where id is the unique name of the node (matching gridbug.conf ID) for each node.

    {
        "version": 1,
        "gridbugs": [{
            "host": "ptr.example.com:8777",
            "id": "jasonacox.com"
        }, {
            "host": "10.0.1.2:8777",
            "id": "LAN"
        }, {
            "host": "localhost:8777",
            "id": "origin"
        }]
    }
    • Note: This does not need to be the complete list of GridBugs in your network as GridBug will propagate discovered notes across the grid. If host and id are missing for the local node, it will automatically add ID and NODEURL from above config.
  2. Run the Docker Container to listen on port 8777.

    docker run \
    -d \
    -p 8777:8777 \
    -e GRIDBUGCONF='/var/lib/gridbug/gridbug.conf' \
    -e GRIDBUGLIST='/var/lib/gridbug/gridbugs.json' \
    -v ${PWD}:/var/lib/gridbug:ro \
    --name gridbug \
    --user ${UID} \
    --restart unless-stopped \
    jasonacox/gridbug
  3. View the GridBug Console and API Calls

    Console: http://localhost:8777/

    # Get Version and Status
    curl -i http://localhost:8777/stats
    
    # Get Current Weather Data
    curl -i http://localhost:8777/text   # Text version of console
    curl -i http://localhost:8777/bugs   # List of gridbug nodes
    curl -i http://localhost:8777/graph  # nternal graph of connectivity (JSON)

Standalone Python Service

Alternatively, you can just run the python server from a startup script:

# Create gridbug.conf and gridbugs.json file or set these:
# environmental variables
export BUGLISTURL="https://jasonacox.com/gridbugs.json"  # URL to gridbugs.json file 
export GB_ID="cloud-us-west"                             # Name for this node 
export GB_DEBUG="no"                                     # Debug mode yes/no
export GB_NODEURL="jasoncox.com:8777"                    # Address/IP:PORT for this node
export GB_GRIDKEY="RaNdomKeY-4-your-Grid"                # Unique key for your grid network

# Start
python3 gridbug.py

Service Details

Envrionmental Variables

        GRIDBUGCONF = Path to gridbug.conf config file
        GRIDBUGLIST = Path to gridbugs.json node list
      * BUGLISTURL = URL to gridbugs.json (overrides config)
        GB_DEBUG = Set to debug mode (yes/no)
        GB_ROLE = node or server (defaults node)
      * GB_ID = Node ID
      * GB_NODEURL = The URL address to this node (e.g. 10.10.10.10:8777)
        GB_CONSOLE = HTML file for console
        GB_SERVERNODE = Default node to test
      * GB_GRIDKEY = Private key for grid (overrides above)
        GB_IPSERVICE = Service that provide your public IP
        GB_APIPORT = TCP Port to Listen (defaults 8777)
        GB_MAXPAYLOAD = Maximum allowed POST payload to accept
        GB_POLL = Time in seconds to wait between tests
        GB_TTL = Time in seconds to identify dead node
        GB_TIMEOUT = Time in seconds to wait for response

API Functions

    The API service of gridbug has the following functions:
        /           - GridBug Console - displays graph of nodes      
        /text       - Human friendly display of current conditions
        /bugs       - List of gridbug nodes
        /stats      - Internal gridbug metrics
        /graph      - Internal graph of connectivity (JSON)
        /clear      - Reload gridbugs and rebuild graph
        /ping       - Simple OK response
        /time       - Local timestamps and uptime
        /raw        - Raw graph DB

About

Simple web based visualization tool to show network connectivity between multiple nodes.

License:MIT License


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