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Set up and explore the Universal demo app
To start learning how Kuma works, you can download and run a simple demo application that consists of two services:
demo-app: web application that lets you increment a numeric counter
redis: data store for the counter
This guide also introduces some of the tools Kuma provides to help you control and monitor traffic, track resource status, and more.
demo-app service listens on port 5000. When it starts, it expects to find a zone key in Redis that specifies the name of the datacenter (or cluster) where the Redis instance is running. This name is displayed in the browser.
The zone key is purely static and arbitrary. Different zone values for different Redis instances let you keep track of which Redis instance stores the counter if you manage routes across different zones, clusters, and clouds.
- Redis installed
- Kuma installed
Demo app downloaded from GitHub:
git clone https://github.com/kumahq/kuma-counter-demo.git
To explore traffic metrics with the demo app, you also need to set up Prometheus. See the traffic metrics policy documentation.
redisas a daemon on port 26379 and set a default zone name:
redis-server --port 26379 --daemonize yes redis-cli -p 26379 set zone local
Install and start
demo-appon the default port 5000:
npm install --prefix=app/ npm start --prefix=app/
Create a token for Redis and a token for the app:
kumactl generate dataplane-token --name=redis > kuma-token-redis kumactl generate dataplane-token --name=app > kuma-token-app
This action requires authentication unless executed against a control-plane running on localhost.
kuma-cp is running inside docker container please see docker authentication docs.
Create a data plane proxy for each service
kuma-dp run \ --cp-address=https://localhost:5678/ \ --dns-enabled=false \ --dataplane-token-file=kuma-token-redis \ --dataplane=" type: Dataplane mesh: default name: redis networking: address: 0.0.0.0 inbound: - port: 16379 servicePort: 26379 serviceAddress: 127.0.0.1 tags: kuma.io/service: redis kuma.io/protocol: tcp"
And for the demo app:
kuma-dp run \ --cp-address=https://localhost:5678/ \ --dns-enabled=false \ --dataplane-token-file=kuma-token-app \ --dataplane=" type: Dataplane mesh: default name: app networking: address: 0.0.0.0 outbound: - port: 6379 tags: kuma.io/service: redis inbound: - port: 15000 servicePort: 5000 serviceAddress: 127.0.0.1 tags: kuma.io/service: app kuma.io/protocol: http"
Navigate to 127.0.0.1:5000 and increment the counter.
Explore the mesh
You can view the sidecar proxies that are connected to the Kuma control plane:
Kuma ships with a read-only GUI that you can use to retrieve Kuma resources. By default the GUI listens on the API port and defaults to
You can navigate to
127.0.0.1:5681/meshes/default/dataplanes to see the connected dataplanes.
Enable Mutual TLS and Traffic Permissions
By default the network is unsecure and not encrypted. We can change this with Kuma by enabling the Mutual TLS policy to provision a dynamic Certificate Authority (CA) on the
default Mesh resource that will automatically assign TLS certificates to our services (more specifically to the injected dataplane proxies running alongside the services).
We can enable Mutual TLS with a
builtin CA backend by executing:
cat <<EOF | kumactl apply -f - type: Mesh name: default mtls: enabledBackend: ca-1 backends: - name: ca-1 type: builtin EOF
Once Mutual TLS has been enabled, Kuma will not allow traffic to flow freely across our services unless we explicitly create a Traffic Permission policy that describes what services can be consumed by other services. You can try to make requests to the demo application at
127.0.0.1:5000/ and you will notice that they will not work.
In a live environment we suggest to setup the Traffic Permission policies prior to enabling Mutual TLS in order to avoid unexpected interruptions of the service-to-service traffic.
We can setup a very permissive policy that allows all traffic to flow in our application in an encrypted way with the following command:
cat <<EOF | kumactl apply -f - type: TrafficPermission name: permission-all mesh: default sources: - match: kuma.io/service: '*' destinations: - match: kuma.io/service: '*' EOF
By doing so every request we now make on our demo application at
127.0.0.1:5000/ is not only working again, but it is automatically encrypted and secure.
As usual, you can visualize the Mutual TLS configuration and the Traffic Permission policies we have just applied via the GUI, the HTTP API or
Explore Traffic Metrics
One of the most important policies that Kuma provides out of the box is Traffic Metrics.
With Traffic Metrics we can leverage Prometheus and Grafana to provide powerful dashboards that visualize the overall traffic activity of our application and the status of the service mesh.
cat <<EOF | kumactl apply -f - type: Mesh name: default mtls: enabledBackend: ca-1 backends: - name: ca-1 type: builtin metrics: enabledBackend: prometheus-1 backends: - name: prometheus-1 type: prometheus conf: skipMTLS: true EOF
This will enable the
prometheus metrics backend on the
default Mesh and automatically collect metrics for all of our traffic.
Increment the counter to generate traffic, and access the dashboard at 127.0.0.1:3000 with default credentials for both the username (
admin) and the password (
Kuma automatically installs three dashboard that are ready to use:
Kuma Mesh: to visualize the status of the overall Mesh.
Kuma Dataplane: to visualize metrics for a single individual dataplane.
Kuma Service to Service: to visualize traffic metrics for our services.
You can now explore the dashboards and see the metrics being populated over time.
- Explore the Policies available to govern and orchestrate your service traffic.
- Read the full documentation to learn about all the capabilities of Kuma.
- Chat with us at the official Kuma Slack for questions or feedback.