# Network Management This directory contains scripts useful for working with a test network. It's intended to be both dev and CD friendly. ### User Account Prerequisites GCP, AWS, colo are supported. #### GCP First authenticate with ```bash $ gcloud auth login ``` #### AWS Obtain your credentials from the AWS IAM Console and configure the AWS CLI with ```bash $ aws configure ``` More information on AWS CLI configuration can be found [here](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-getting-started.html#cli-quick-configuration) ### Metrics configuration (Optional) Ensure that `$(whoami)` is the name of an InfluxDB user account with enough access to create a new InfluxDB database. Ask mvines@ for help if needed. ## Quick Start NOTE: This example uses GCE. If you are using AWS EC2, replace `./gce.sh` with `./ec2.sh` in the commands. ```bash $ cd net/ $ ./gce.sh create -n 5 -c 1 #<-- Create a GCE testnet with 5 additional nodes (beyond the bootstrap node) and 1 client (billing starts here) $ ./init-metrics.sh $(whoami) #<-- Recreate a metrics database for the testnet and configure credentials $ ./net.sh start #<-- Deploy the network from the local workspace and start processes on all nodes including bench-tps on the client node $ ./ssh.sh #<-- Show a help to ssh into any testnet node to access logs/etc $ ./net.sh stop #<-- Stop running processes on all nodes $ ./gce.sh delete #<-- Dispose of the network (billing stops here) ``` ## Tips ### Running the network over public IP addresses By default private IP addresses are used with all instances in the same availability zone to avoid GCE network engress charges. However to run the network over public IP addresses: ```bash $ ./gce.sh create -P ... ``` or ```bash $ ./ec2.sh create -P ... ``` ### Deploying a tarball-based network To deploy the latest pre-built `edge` channel tarball (ie, latest from the `master` branch), once the testnet has been created run: ```bash $ ./net.sh start -t edge ``` ### Enabling CUDA First ensure the network instances are created with GPU enabled: ```bash $ ./gce.sh create -g ... ``` or ```bash $ ./ec2.sh create -g ... ``` If deploying a tarball-based network nothing further is required, as GPU presence is detected at runtime and the CUDA build is auto selected. ### Partition testing To induce the partition `net.sh netem --config-file ` To remove partition `net.sh netem --config-file --netem-cmd cleanup` The partitioning is also removed if you do `net.sh stop` or `restart`. An example config that produces 3 almost equal partitions: ``` { "partitions":[ 34, 33, 33 ], "interconnects":[ { "a":0, "b":1, "config":"loss 15% delay 25ms" }, { "a":1, "b":0, "config":"loss 15% delay 25ms" }, { "a":0, "b":2, "config":"loss 10% delay 15ms" }, { "a":2, "b":0, "config":"loss 10% delay 15ms" }, { "a":2, "b":1, "config":"loss 5% delay 5ms" }, { "a":1, "b":2, "config":"loss 5% delay 5ms" } ] } ```