Distributed p2p networks are gaining popularity with the popularization of blockchain applications. In a scenario where the critical message exchange entirely relies on the p2p network underneath, a deep and complete analysis of the real-time network status can directly prevent or spot vulnerabilities on the application protocol.
With this idea in mind, from Miga Labs, we want to provide a tool able to join p2p networks (check the protocol compatibility list), share, and adopt the used protocols to provide the datasets and the tools to study the new blockchain networks generation.
Miga Labs is a young department of the Barcelona Supercomputing Center (BSC), specialized in next-generation Blockchain technology, focusing on Sharding and Proof-of-Stake protocols.
The project offers a network crawler able to monitor the Eth2 p2p network.
To use the tool, the following requirements need to be installed in the machine:
- git
- gcc - C compiler
- go on its 1.17 version (upper versions might fail to compile, we are working on it). Go needs to be executable from the terminal. Lower versions will report a dependency import error for the package
io/fs
. - PostgreSQL DB
- Docker version
- Docker-Compose
Alternatively, the tool can also be executed from:
OPTIONAL for data visualization:
- prometheus time-series database.
- grafana dashboard.
To run the tool from the source code, follow these steps:
# Donwload the git repository of the tool
git clone https://github.com/migalabs/armiarma.git && cd armiarma
# Compile the tool generating the armiarma binary
make dependencies
make build
# Ready to call the tool
./build/armiarma [options] [FLAGS]
At the moment, the tool only offers a single command for the crawler. Check the description below.
EXECUTION:
./build/armiarma [OPTIONS] [FLAGS]
OPTIONS:
eth2 crawl the given Ethereum CL network (selected by fork_digest)
help, h Shows a list of commands or help for one command
We also provide a Dockerfile and Docker-Compose file that can be used to run the crawler without having to compile it manually. The docker-compose file spaws the following docker images:
Armiarma
instance with the configuration file provided by argumentsPostgreSQL
instance to store crawling dataPrometheus
instance to read the metrics exported byArmiarma
Grafana
instance as a dashboard to monitor the crawl (Eth2 dashboard)
List of ports that are going to be used:
Instance | Port | Credentials |
---|---|---|
Armiarma | 9020 & 9080 |
- |
PostgreSQL | 5432 |
user=user & password=password |
Prometheus | 9090 |
- |
Grafana | 3000 |
user=admin & password=admin |
To spawn up the entire set-up, just run the following command in the root directory
# Call docker-compose in the root of the repository, and that's all
docker-compose up
Docker-compose will generate the Docker images for you and will run the crawler and its requirements in your machine.
Please note that, by running the tool through the docker-compose --env-file <.env-file-name> up
command.
Remember that all these default configurations could be modified from the docker-compose.yaml
file and from the .env
file.
Feel free to copy the .env_template
with cp .env_template .my_env
and play around with the configuration of the crawler.
NOTEs:
- you might need to run
docker-compose up
withsudo
privileges if the Linux user doesn't belong to the docker group. - If the DB and Prometheus containers fail on start because of a permisions problems, make sure you grant the correct permises to the content of the folder
./app-data
doing:
sudo chmod 777 ./app-data/*_db
Currently supported protocols:
Ethereum CL Different networks or forks can be crawled by defining the 'ForkDigest' in the --fork-digest flag
List of fork digests.
The crawler has several fields that can be customized anytime before the launch of the crawler. The fields correspond to the following flags:
USAGE:
./build/armiarma eth2 [options...]
OPTIONS:
--log-level value Verbosity level for the Crawler's logs (default: info) [$ARMIARMA_LOG_LEVEL]
--priv-key value String representation of the PrivateKey to be used by the crawler [$ARMIARMA_PRIV_KEY]
--ip value IP in the machine that we want to asign to the crawler (default: 0.0.0.0) [$ARMIARMA_IP]
--port value TCP and UDP port that the crawler with advertise to establish connections (default: 9020) [$ARMIARMA_PORT]
--metrics-ip value IP in the machine that will expose the metrics of the crawler (default: localhost) [$ARMIARMA_METRICS_IP]
--metrics-port value Port that the crawler with to expose pprof and prometheus metrics (default: 9080) [$ARMIARMA_METRICS_PORT]
--user-agent value Agent name that will identify the crawler in the network (default: Armiarma Crawler) [$ARMIARMA_USER_AGENT]
--psql-endpoint value PSQL enpoint where the crwaler will submit the all the gathered info (default: postgres://user:password@localhost:5432/armiarmadb) [$ARMIARMA_PSQL]
--peers-backup value Time interval that will be use to backup the peer_ids into a single table - allowing to recontruct the network in past-crawled times (default: 12h) [$ARMIARMA_BACKUP_INTERVAL]
--remote-cl-endpoint value Remote Ethereum Consensus Layer Client to request metadata (experimental) [$ARMIARMA_REMOTE_CL_ENDPOINT]
--fork-digest value Fork Digest of the Ethereum Consensus Layer network that we want to crawl (default: 0x4a26c58b) [$ARMIARMA_FORK_DIGEST]
--bootnode value List of boondes that the crawler will use to discover more peers in the network (One --bootnode <bootnode> per bootnode) [$ARMIARMA_BOOTNODES]
--gossip-topic value List of gossipsub topics that the crawler will subscribe to [$ARMIARMA_GOSSIP_TOPICS]
--subnet value List of subnets (gossipsub topics) that we want to subscribe the crawler to (One --subnet <subnet_id> per subnet) [$ARMIARMA_SUBNETS]
--persist-msgs Decide whether we want to track the msgs-metadata into the DB (default: false) [$ARMIARMA_PERSIST_MSGS]
--val-pubkeys value Path of the file that has the pubkeys of those validators that we want to track (experimental) [$ARMIARMA_VAL_PUBKEYS]
--help, -h show help (default: false)
The combination of Prometheus and Grafana is the one that we have chosen to display the network data. In the repository, both configuration files are provided. In addition, the crawler, by default, exports all the metrics to Prometheus in port 9080.
The results of our analysis are also openly available on our website migalabs.es.
To get in contact with us, feel free to reach us through our email, and don't forget to follow our latest news on Twitter.
Please, note that the tool is currently in a developing stage. Any bugs report and/or suggestions are very welcome.
@cortze
MIT, see LICENSE file.