celestiaorg / congest

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congest: very realistic and accessible network tests

Many network tests utilize a single kubernetes cluster to simulate a network. congest utilizes cloud api's instead of using kubernetes and artificial network latency, packet loss, etc to simulate realistic networking conditions. Besides enabling the collection of hyper realistic network data, this also has the side benefit of not having to hand roll a kubernetes deployment. Devs that focus mainly on software all know how to use a unix based command line, so accessing virtual machines via ssh, while hacky, is incredibly simple and powerful. Making arbitrary changes is as trivial as writing a bash script.

Design

The design of congest is reletively simple. The genesis and configuration of the network is done after the IPs of the nodes in the network are known, so after pulumi communicates with cloud providers to spin up the specified nodes. After that, a payload is generated and transfered to each node via scp. This payload is then executed on each node. Currently, this payload literally spins up celestia-app and txsim in separate tmux sessions. txsim should start running after about 3 minutes after the network begins to bootstrap.

Forking

This repo could easily be forked to instead run a different chain all together, that chain just needs to create a genesis and have some mechanism to creating txs programmatically. It would be great to make things here a bit more general so that any cosmos chain dev could run their own hyper realistic network tests.

Usage

Running a test

  1. Setup and install pulumi

  2. Get a digitalocean token and set it as an environment variable DIGITALOCEAN_TOKEN

  3. Get a vultr token and set it as an environment variable VULTR_TOKEN

  4. Make sure this token has enough permissions to up enough instances.

  5. Add your ssh key to digitalocean and vultr, and set the DO_SSH_KEY_IDS and other clound provider's environment variable so that we can tell digitalocean to add that public key to all droplets we spin up.

    doctl compute ssh-key list
  6. Run make deploy <TestName> <ChainID> to run a test.

After setting pulumi and the all four of the env vars, you can run the following commands to deploy the infrastructure (there can be limits set on the number of virtual machines one account can deploy, be sure to set those high enough):

make deploy Test100Nodes8MB tcp-congestion-1

This test will then proceed to configure and spin up 100 geographically distributed nodes, bootstrap the network by saving all IPs into an addressbook that each node is initialized with, and then starting txsim on each of the 100 nodes.

Collecting trace data

By default, all nodes have all the message traces enabled. These can be fetched via the normal mechanisms supported by the tracer (such as pushing to an s3 bucket), however, if only a single trace file is needed, we can also call

source download_traces.sh validator-1 consensus_block.jsonl

The trace collection process is triggered via the make down command, however manually triggering it is also possible by calling source collect_traces.sh.

Cleaning up the test instances

The experiments currently do not have an automatic way to shut down the instances!!!! Users must call the below steps to shut down all of the instances.

make down

which will ask pulumi to destroy all the nodes after it starts the trace collection process. If configured properly and if the cloud provider's api is working then this should work. This command also refreshes pulumi's deployment after closing. It's definitely possible that some instances don't fully shut down, in which case make down should be called again. It's still a good idea to check the output of this command to ensure that all resources were properly destroyed.

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