Tezos is a delegated proof of stake blockchain protocol.
This quickstart guide helps you deploy:
- a fully featured, best practices Tezos baking service on Google Kubernetes Engine, or
- a set of public nodes with a public RPC endpoint (see documentation).
The private baking key can be managed two ways:
- a hot private key stored as a Kubernetes secret for testing purposes;
- support for a SSH-tunneled remote signing setup, for production mainnet bakers.
Features:
- high availaibility baking, endorsing and accusing;
- SSH endpoint for remote signing;
- compatible with Tezos mainnet and testnets such as Edonet;
- blockchain snapshot download and import for faster synchronization of the nodes;
- support for two highly available signers;
- deploy everything in just one command;
- metric-based monitoring and alerting with Prometheus.
We maintain Tezos Suite, a complete baking suite, free for anyone to use.
We help you deploy and manage a complete Tezos baking operation. Hire us.
This is a Kubernetes private cluster with Tezos nodes located in two Google Cloud zones, in the same region.
The setup is production hardened:
- usage of Kubernetes secrets to store sensitive values such as node keys. They are created securely from terraform variables,
- network policies to restrict communication between pods. For example, only sentries can peer with the validator node.
Deploying will incur Google Compute Engine charges, specifically:
- virtual machines
- network ingress
- NAT forwarding
WARNING: Use judgement and care in your network interactions, otherwise loss of funds may occur.
- Download and install Terraform;
- Download, install, and configure the Google Cloud SDK;
- Install the kubernetes CLI (aka
kubectl
).
NOTE: for production deployments, the method below is not recommended. Instead, you should use a Terraform service account following these instructions.
- Using your Google account, activate your Google Cloud access;
- Login to Google Cloud using
gcloud auth login
; - Set up Google Default Application Credentials by issuing the command:
gcloud auth application-default login
All custom values unique to your deployment are set as Terraform variables. You must populate these variables manually before deploying the setup.
A simple way is to populate a file called terraform.tfvars
.
NOTE: terraform.tfvars
is not recommended for a production deployment. See production hardening.
- Clone the tezos-on-gke repository;
- Go to
terraform
folder in the cloned repository.
Below is a list of variables you can set.
Name | Description | Type | Default | Required |
---|---|---|---|---|
baking_nodes | Structured data related to baking, including public key and signer configuration. | map |
{} |
no |
billing_account | Google Cloud billing account ID. | string |
"" |
no |
cluster_ca_certificate | Kubernetes cluster certificate. | string |
"" |
no |
cluster_name | Name of the Kubernetes cluster. | string |
"" |
no |
experimental_active_standby_mode | Enable exeprimental active-standby mode (https://tezos-docs.midl.dev/active-standby.html). | bool |
false |
no |
history_mode | History mode of the Tezos nodes (rolling, full or archive). | string |
"rolling" |
no |
kubernetes_access_token | Access token for the kubernetes endpoint | string |
"" |
no |
kubernetes_endpoint | Name of the Kubernetes endpoint. | string |
"" |
no |
kubernetes_name_prefix | Kubernetes name prefix to prepend to all resources (should be short, like xtz). | string |
"xtz" |
no |
kubernetes_namespace | Kubernetes namespace to deploy the resource into. | string |
"tezos" |
no |
kubernetes_pool_name | When Kubernetes cluster has several node pools, specify which ones to deploy the baking setup into. Only effective when deploying on an external cluster with terraform_no_cluster_create | string |
"blockchain-pool" |
no |
monitoring_slack_url | Slack API URL to send prometheus alerts to. | string |
"" |
no |
node_locations | Zones in which to create the nodes. | list |
[ |
no |
node_storage_size | Storage size for the nodes, in gibibytes (GiB). | string |
"15" |
no |
org_id | Google Cloud organization ID. | string |
"" |
no |
project | Project ID where Terraform is authenticated to run to create additional projects. If provided, Terraform will great the GKE and Tezos cluster inside this project. If not given, Terraform will generate a new project. | string |
"" |
no |
protocols | The list of Tezos protocols currently in use, following the naming convention used in the baker/endorser binary names, for example 007-PsDELPH1. Baking and endorsing daemons will be spun up for every protocol provided in the list, which helps for seamless protocol updates. | list |
[ |
no |
region | Region in which to create the cluster, or region where the cluster exists. | string |
"us-central1" |
no |
rpc_public_hostname | If set, expose the RPC of the public node through a load balancer and create a certificate for the given hostname. | string |
"" |
no |
rpc_subnet_whitelist | IP address whitelisting for the public RPC. Open to everyone by default. | list |
[ |
no |
signer_target_host_key | SSH host key for the SSH endpoint the remote signer connects to. If left empty, sshd will generate it but it may change, cutting your access to the remote signers. | string |
"" |
no |
snapshot_url | URL of the snapshot of type rolling to download. | string |
"https://mainnet.xtz-shots.io/rolling" |
no |
terraform_service_account_credentials | Path to terraform service account file, created following the instructions in https://cloud.google.com/community/tutorials/managing-gcp-projects-with-terraform | string |
"~/.config/gcloud/application_default_credentials.json" |
no |
tezos_network | The Tezos network such as mainnet, edonet, etc. | string |
"mainnet" |
no |
tezos_version | The Tezos container version for node. Should be hard-coded to a version from https://hub.docker.com/r/tezos/tezos/tags. Not recommended to set to a rolling tag like 'mainnet', because it may break unexpectedly. Example: v9.2 . |
string |
"latest-release" |
no |
The baking_nodes
parameter lets you deploy one or several bakers declaratively by passing structured data describing the bakers.
You may specify:
- a map with one or several baking nodes, and
- for every baking node, one or several baking and endorsing processes.
The variables needed to spin up the baking or endorsing processes are:
public_baking_key
: the public baking key starting withedpk
public_baking_key_hash
: the public baking key hash starting withtz
- for testnets or test deployments only: set the
insecure_private_baking_key
to the unencrypted private key to be used.
Attention! Leaving a private baking key on a cloud platform is not recommended when funds are present. For production bakers, leave this variable empty and use a remote signer. See documentation.
To generate a public/private keypair, you can use the tezos client:
tezos-client gen keys insecure-baker
# if you do not have a node running locally, there will be an error, but the key was created anyway
tezos-client show address insecure-baker -S
Set public_baking_key_hash
to the value displayed after Hash:
, public_baking_key
to the value displayed after Public key:
and insecure_private_baking_key
to the value displayed after Secret key: unencrypted:
.
If you do not have the tezos client installed locally, you can use the docker Tezos container:
docker run --name=my-tezos-client tezos/tezos:latest-release tezos-client gen keys insecure-baker
# again, if you do not have a node running locally, there will be an error, but the key was created anyway
docker commit my-tezos-client my-tezos-client
docker run my-tezos-client tezos-client show address insecure-baker -S
Full example of baking_nodes
parameter:
mybaker = {
public_baking_key="edpkup8PaxJYrUcXUEBEufekgqMaodyKLKwHqbtkQVAudiJ7nmrS2o"
public_baking_key_hash="tz1YmsrYxQFJo5nGj4MEaXMPdLrcRf2a5mAU"
insecure_private_baking_key="edsk3cftTNcJnxb7ehCxYeCaKPT7mjycdMxgFisLixrQ9bZuTG2yZK"
}
If you do not want to bake (for example, if you want to deploy a RPC node only), configure just one node with no baker:
baking_nodes = { "mynode": {} }
Tezos-on-GKE supports the Tezos Rewards Distributor (TRD) running as a cronjob alongside the baker node, sharing the same remote signing infrastructure.
All details are in the tezos-suite documentation.
Here is a full example terraform.tfvars
configuration. This private key is provided only as an example, generate your own instead.
project="<your Google project name>"
tezos_network="florencenet"
snapshot_url="https://florencenet.xtz-shots.io/rolling"
baking_nodes = {
mynode = {
mybaker = {
public_baking_key="edpkup8PaxJYrUcXUEBEufekgqMaodyKLKwHqbtkQVAudiJ7nmrS2o"
public_baking_key_hash="tz1YmsrYxQFJo5nGj4MEaXMPdLrcRf2a5mAU"
insecure_private_baking_key="edsk3cftTNcJnxb7ehCxYeCaKPT7mjycdMxgFisLixrQ9bZuTG2yZK"
}
}
}
- Run the following:
terraform init
terraform plan -out plan.out
terraform apply plan.out
This will take time as it will:
- create a Google Cloud project
- create a Kubernetes cluster
- build the necessary containers
- spin up the baker nodes
In case of error, run the plan
and apply
steps again:
terraform plan -out plan.out
terraform apply plan.out
Once the command returns, you can verify that the pods are up by running:
kubectl get pods
You should see the tezos node.
Display the log of a public node and observe it sync:
kubectl logs -f tezos-public-node-0 --tail=10
It is not recommended to run a production baker with cloud-hosted private keys.
Follow our guide to configure a hardware remote signer connected to a Ledger.
When using this mode, you must pass a baking_nodes
map with the following parameters:
ledger_authorized_path
: the Ledger path associated with the key stored in Ledger device on the remote signer,public_baking_key
: the public key for the key stored in the Ledger devicepublic_baking_key_hash
: the public key hash for the key stored in the Ledger devicemonitoring_slack_url
andmonitoring_slack_channel
: optional, the Slack channel where to send the signer-specific alertsauthorized_signers
: a list of signer specification maps, containing:ssh_pubkey
: the public key of the signer, used for ssh port forwarding, andsigner_port
: the port for the signer http endpoint that is being tunneledtunnel_endpoint_port
: the port where the ssh daemon connects to on the load balancer for tunneling traffic
To delete everything and terminate all the charges, issue the command:
terraform destroy
Alternatively, go to the Google Cloud console and delete the project.