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Tendermint network powered by Kubernetes

QuickStart (MacOS)
QuickStart (Linux)
Usage
Security
Fault tolerance
Starting process

This should primarily be used for testing purposes or for tightly-defined chains operated by a single stakeholder (see the security precautions). If your desire is to launch an application with many stakeholders, consider using our set of Ansible scripts.

QuickStart (MacOS)

Requirements

curl -LO https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/darwin/amd64/kubectl && chmod +x kubectl && sudo mv kubectl /usr/local/bin/kubectl
curl -Lo minikube https://storage.googleapis.com/minikube/releases/v0.18.0/minikube-darwin-amd64 && chmod +x minikube && sudo mv minikube /usr/local/bin/
minikube start

git clone https://github.com/tendermint/tools.git && cd tools/mintnet-kubernetes/examples/basecoin && make create

QuickStart (Linux)

Requirements

curl -LO https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/linux/amd64/kubectl && chmod +x kubectl && sudo mv kubectl /usr/local/bin/kubectl
curl -Lo minikube https://storage.googleapis.com/minikube/releases/v0.18.0/minikube-linux-amd64 && chmod +x minikube && sudo mv minikube /usr/local/bin/
minikube start

git clone https://github.com/tendermint/tools.git && cd tools/mintnet-kubernetes/examples/basecoin && make create

Verify everything works

Using a shell:

wait until all the pods are Running.
```
kubectl get pods -w -o wide -L tm
```
query the Tendermint app logs from the first pod.
```
kubectl logs -c tm -f tm-0
```
use Rest API to fetch the status of the second pod's Tendermint app. Note we are using kubectl exec because pods are not exposed (and should not be) to the outer network.
```
kubectl exec -c tm tm-0 -- curl -s http://tm-1.basecoin:46657/status | json_pp
```

Using the dashboard:

minikube dashboard

Clean up

make destroy

Usage

(1/4) Setup a Kubernetes cluster

locally using Minikube
on GCE with a single click in the web UI
on AWS using Kubernetes Operations
on Linux machines (Digital Ocean) using kubeadm
on AWS, Azure, GCE or bare metal using Kargo (Ansible)

Please refer to the official documentation for overview and comparison of different options. See our guides for Google Cloud Engine or Digital Ocean.

Make sure you have Kubernetes >= 1.5, because you will be using StatefulSets, which is a beta feature in 1.5.

(2/4) Create a configuration file

Download a template:

curl -Lo app.yaml https://github.com/tendermint/tools/raw/master/mintnet-kubernetes/app.template.yaml

Open app.yaml in your favorite editor and configure your app container (navigate to - name: app). Kubernetes DSL (Domain Specific Language) is very simple, so it should be easy. You will need to set Docker image, command and/or run arguments. Replace variables prefixed with YOUR_APP with corresponding values. Set genesis time to now and preferable chain ID in ConfigMap.

Please note if you are changing replicas number, do not forget to update validators set in ConfigMap. You will be able to scale the cluster up or down later, but new pods (nodes) won't become validators automatically.

(3/4) Deploy your application

kubectl create -f ./app.yaml

(4/4) Observe your cluster

web UI <-> https://github.com/kubernetes/dashboard

The easiest way to access Dashboard is to use kubectl. Run the following command in your desktop environment:

kubectl proxy

kubectl will handle authentication with apiserver and make Dashboard available at http://localhost:8001/ui

shell

List all the pods:

kubectl get pods -o wide -L tm

StatefulSet details:

kubectl describe statefulsets tm

First pod details:

kubectl describe pod tm-0

Tendermint app logs from the first pod:

kubectl logs tm-0 -c tm -f

App logs from the first pod:

kubectl logs tm-0 -c app -f

Status of the second pod's Tendermint app:

kubectl exec -c tm tm-0 -- curl -s http://tm-1.<YOUR_APP_NAME>:46657/status | json_pp

Security

Due to the nature of Kubernetes, where you typically have a single master, the master could be a SPOF (Single Point Of Failure). Therefore, you need to make sure only authorized people can access it. And these people themselves had taken basic measures in order not to get hacked.

These are the best practices:

all access to the master is over TLS
access to the API Server is X.509 certificate or token based
etcd is not exposed directly to the cluster
ensure that images are free of vulnerabilities (1)
ensure that only authorized images are used in your environment
disable direct access to Kubernetes nodes (no SSH)
define resource quota

Resources:

Fault tolerance

Having a single master (API server) is a bad thing also because if something happens to it, you risk being left without an access to the application.

To avoid that you can run Kubernetes in multiple zones, each zone running an API server and load balance requests between them. Do not forget to make sure only one instance of scheduler and controller-manager are running at once.

Running in multiple zones is a lightweight version of a broader Cluster Federation feature. Federated deployments could span across multiple regions (not zones). We haven't tried this feature yet, so any feedback is highly appreciated! Especially, related to additional latency and cost of exchanging data between the regions.