`contains` provides an alternative way to declare partial sets:
p contains x {
x := { "foo": "bar"
}
which is the same as
p[x] {
x := { "foo": "bar"
}
The keyword is enabled by importing `future.keywords.contains`, and
when it _is enabled_, the format will be used for all partial sets in
that file for pretty-printing.
`if` is a new keyword allowing for more readable rule definitions:
The syntax is
NAME [if] { EXPR [EXPR...] }
and the is a shorthand allows dropping the braces around the expression
if there is only one:
NAME if EXPR
For example, this allows expressions like
allow if not deny
f(xs) if every x in xs { x != "foo" }
The one exception here are partial sets: they cannot use `if` UNLESS
they use `contains`:
p[x] { x := "foo" } # valid
p contains x { x := "bar" } # valid
p contains x if { x := "bar" } # valid
p[x] if { x := "foo" } # invalid
This is because we want to interpret that differently (as an object
rule defining `p.foo = true`) in the near future.
The formatter works in the same way: if `future.keywords.if` is imported, it
will be used where it can be used.
We don't want to be too eager when it comes to introducing syntactic sugar.
So this will be rewritten, because head and body expression are on the same
line:
p := 5 if { time.day_of_week() == "Monday" }
# => p := 5 if time.day_of_week() == "Monday"
but this won't:
p := 5 if {
time.day_of_week() == "Monday"
}
The rationale here is that if the policy author decided that they want this on
an extra line, we won't mess with it.
This also sidesteps the need to check if both the head and the single body
expression have a comment.
This change includes various docs updates. Notable exceptions are the GK docs,
since it will take a while for these keywords to be come available there; and
the frontpage: merging a PR would update the frontpage immediately, and we
don't want to show something there that isn't available in the latest release.
Signed-off-by: Stephan Renatus <stephan.renatus@gmail.com>
13 KiB
title, kind, weight
| title | kind | weight |
|---|---|---|
| Tutorial: Standalone Envoy | envoy | 10 |
The tutorial shows how Envoy’s External authorization filter can be used with OPA as an authorization service to enforce security policies over API requests received by Envoy. The tutorial also covers examples of authoring custom policies over the HTTP request body.
Prerequisites
This tutorial requires Kubernetes 1.20 or later. To run the tutorial locally, we
recommend using minikube in
version v1.21+ with Kubernetes 1.20+.
Steps
1. Start Minikube
minikube start
2. Create ConfigMap containing configuration for Envoy
The Envoy configuration below defines an external authorization filter
envoy.ext_authz for a gRPC authorization server.
Save the configuration as envoy.yaml:
static_resources:
listeners:
- address:
socket_address:
address: 0.0.0.0
port_value: 8000
filter_chains:
- filters:
- name: envoy.filters.network.http_connection_manager
typed_config:
"@type": type.googleapis.com/envoy.extensions.filters.network.http_connection_manager.v3.HttpConnectionManager
codec_type: auto
stat_prefix: ingress_http
route_config:
name: local_route
virtual_hosts:
- name: backend
domains:
- "*"
routes:
- match:
prefix: "/"
route:
cluster: service
http_filters:
- name: envoy.ext_authz
typed_config:
"@type": type.googleapis.com/envoy.extensions.filters.http.ext_authz.v3.ExtAuthz
transport_api_version: V3
with_request_body:
max_request_bytes: 8192
allow_partial_message: true
failure_mode_allow: false
grpc_service:
google_grpc:
target_uri: 127.0.0.1:9191
stat_prefix: ext_authz
timeout: 0.5s
- name: envoy.filters.http.router
clusters:
- name: service
connect_timeout: 0.25s
type: strict_dns
lb_policy: round_robin
load_assignment:
cluster_name: service
endpoints:
- lb_endpoints:
- endpoint:
address:
socket_address:
address: 127.0.0.1
port_value: 8080
admin:
access_log_path: "/dev/null"
address:
socket_address:
address: 0.0.0.0
port_value: 8001
layered_runtime:
layers:
- name: static_layer_0
static_layer:
envoy:
resource_limits:
listener:
example_listener_name:
connection_limit: 10000
overload:
global_downstream_max_connections: 50000
Create the ConfigMap:
kubectl create configmap proxy-config --from-file envoy.yaml
3. Define a OPA policy
The following OPA policy restricts access to the /people endpoint exposed by
our sample app:
- Alice is granted a guest role and can perform a
GETrequest to/people. - Bob is granted an admin role and can perform a
GETandPOSTrequest to/people.
The policy also restricts an admin user, in this case bob from creating an
employee with the same firstname as himself.
policy.rego
package envoy.authz
import future.keywords
import input.attributes.request.http as http_request
default allow := false
allow if {
is_token_valid
action_allowed
}
is_token_valid if {
token.valid
now := time.now_ns() / 1000000000
token.payload.nbf <= now
now < token.payload.exp
}
action_allowed if {
http_request.method == "GET"
token.payload.role == "guest"
glob.match("/people", ["/"], http_request.path)
}
action_allowed if {
http_request.method == "GET"
token.payload.role == "admin"
glob.match("/people", ["/"], http_request.path)
}
action_allowed if {
http_request.method == "POST"
token.payload.role == "admin"
glob.match("/people", ["/"], http_request.path)
lower(input.parsed_body.firstname) != base64url.decode(token.payload.sub)
}
token := {"valid": valid, "payload": payload} if {
[_, encoded] := split(http_request.headers.authorization, " ")
[valid, _, payload] := io.jwt.decode_verify(encoded, {"secret": "secret"})
}
Then, build an OPA bundle.
opa build policy.rego
In the next step, OPA is configured to query for the data.envoy.authz.allow
decision. If the response is true the operation is allowed, otherwise the
operation is denied. Sample input received by OPA is shown below:
data.envoy.authz.allow
{
"attributes": {
"request": {
"http": {
"method": "GET",
"path": "/people",
"headers": {
"authorization": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJyb2xlIjoiZ3Vlc3QiLCJzdWIiOiJZV3hwWTJVPSIsIm5iZiI6MTUxNDg1MTEzOSwiZXhwIjoxNjQxMDgxNTM5fQ.K5DnnbbIOspRbpCr2IKXE9cPVatGOCBrBQobQmBmaeU"
}
}
}
}
}
With the input value above, the answer is:
An example of the complete input received by OPA can be seen here.
4. Publish OPA Bundle
We will now serve the OPA bundle created in the previous step using Nginx.
docker run --rm --name bundle-server -d -p 8888:80 -v ${PWD}:/usr/share/nginx/html:ro nginx:latest
The above command will start a Nginx server running on port 8888 on your host and act as a bundle server.
5. Create App Deployment with OPA and Envoy sidecars
Our deployment contains a sample Go app which provides information about
employees in a company. It exposes a /people endpoint to get and create
employees. More information can on the app be found
here.
OPA is started with a configuration that sets the listening address of Envoy External Authorization gRPC server and specifies the name of the policy decision to query. OPA will also periodically download the policy bundle from the local Nginx server configured in the previous step. More information on the configuration options can be found here.
Save the deployment as deployment.yaml:
kind: Deployment
apiVersion: apps/v1
metadata:
name: example-app
labels:
app: example-app
spec:
replicas: 1
selector:
matchLabels:
app: example-app
template:
metadata:
labels:
app: example-app
spec:
initContainers:
- name: proxy-init
image: openpolicyagent/proxy_init:v5
# Configure the iptables bootstrap script to redirect traffic to the
# Envoy proxy on port 8000, specify that Envoy will be running as user
# 1111, and that we want to exclude port 8282 from the proxy for the
# OPA health checks. These values must match up with the configuration
# defined below for the "envoy" and "opa" containers.
args: ["-p", "8000", "-u", "1111", "-w", "8282"]
securityContext:
capabilities:
add:
- NET_ADMIN
runAsNonRoot: false
runAsUser: 0
containers:
- name: app
image: openpolicyagent/demo-test-server:v1
ports:
- containerPort: 8080
- name: envoy
image: envoyproxy/envoy:v1.20.0
volumeMounts:
- readOnly: true
mountPath: /config
name: proxy-config
args:
- "envoy"
- "--config-path"
- "/config/envoy.yaml"
env:
- name: ENVOY_UID
value: "1111"
- name: opa
# Note: openpolicyagent/opa:latest-envoy is created by retagging
# the latest released image of OPA-Envoy.
image: openpolicyagent/opa:{{< current_opa_envoy_docker_version >}}
args:
- "run"
- "--server"
- "--addr=localhost:8181"
- "--diagnostic-addr=0.0.0.0:8282"
- "--set=services.default.url=http://host.minikube.internal:8888"
- "--set=bundles.default.resource=bundle.tar.gz"
- "--set=plugins.envoy_ext_authz_grpc.addr=:9191"
- "--set=plugins.envoy_ext_authz_grpc.path=envoy/authz/allow"
- "--set=decision_logs.console=true"
- "--set=status.console=true"
- "--ignore=.*"
livenessProbe:
httpGet:
path: /health?plugins
scheme: HTTP
port: 8282
initialDelaySeconds: 5
periodSeconds: 5
readinessProbe:
httpGet:
path: /health?plugins
scheme: HTTP
port: 8282
initialDelaySeconds: 5
periodSeconds: 5
volumes:
- name: proxy-config
configMap:
name: proxy-config
kubectl apply -f deployment.yaml
Check that the Pod shows 3/3 containers READY the STATUS as Running:
kubectl get pod
NAME READY STATUS RESTARTS AGE
example-app-67c644b9cb-bbqgh 3/3 Running 0 8s
The
proxy-initcontainer installs iptables rules to redirect all container traffic through the Envoy proxy sidecar. More information can be found here.
6. Create a Service to expose HTTP server
In a second terminal, start a minikube tunnel to allow for use of the LoadBalancer service type.
minikube tunnel
In the first terminal, create a LoadBalancer service for the deployment.
kubectl expose deployment example-app --type=LoadBalancer --name=example-app-service --port=8080
Check that the Service shows an EXTERNAL-IP:
kubectl get service example-app-service
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
example-app-service LoadBalancer 10.109.64.199 10.109.64.199 8080:32170/TCP 5s
Set the SERVICE_URL environment variable to the service's IP/port.
minikube:
export SERVICE_HOST=$(kubectl get service example-app-service -o jsonpath='{.status.loadBalancer.ingress[0].ip}')
export SERVICE_URL=$SERVICE_HOST:8080
echo $SERVICE_URL
minikube (example):
10.109.64.199:8080
7. Exercise the OPA policy
For convenience, we’ll want to store Alice's and Bob's tokens in environment variables.
export ALICE_TOKEN="eyJhbGciOiAiSFMyNTYiLCAidHlwIjogIkpXVCJ9.eyJleHAiOiAyMjQxMDgxNTM5LCAibmJmIjogMTUxNDg1MTEzOSwgInJvbGUiOiAiZ3Vlc3QiLCAic3ViIjogIllXeHBZMlU9In0.Uk5hgUqMuUfDLvBLnlXMD0-X53aM_Hlziqg3vhOsCc8"
export BOB_TOKEN="eyJhbGciOiAiSFMyNTYiLCAidHlwIjogIkpXVCJ9.eyJleHAiOiAyMjQxMDgxNTM5LCAibmJmIjogMTUxNDg1MTEzOSwgInJvbGUiOiAiYWRtaW4iLCAic3ViIjogIlltOWkifQ.5qsm7rRTvqFHAgiB6evX0a_hWnGbWquZC0HImVQPQo8"
Check that Alice can get employees but cannot create one.
curl -i -H "Authorization: Bearer $ALICE_TOKEN" http://$SERVICE_URL/people
curl -i -H "Authorization: Bearer $ALICE_TOKEN" -d '{"firstname":"Charlie", "lastname":"OPA"}' -H "Content-Type: application/json" -X POST http://$SERVICE_URL/people
Check that Bob can get employees and also create one.
curl -i -H "Authorization: Bearer $BOB_TOKEN" http://$SERVICE_URL/people
curl -i -H "Authorization: Bearer $BOB_TOKEN" -d '{"firstname":"Charlie", "lastname":"Opa"}' -H "Content-Type: application/json" -X POST http://$SERVICE_URL/people
Check that Bob cannot create an employee with the same firstname as himself.
curl -i -H "Authorization: Bearer $BOB_TOKEN" -d '{"firstname":"Bob", "lastname":"Rego"}' -H "Content-Type: application/json" -X POST http://$SERVICE_URL/people
To remove the kubernetes resources created during this tutorial please use the following commands.
kubectl delete service example-app-service
kubectl delete deployment example-app
kubectl delete configmap proxy-config
To remove the bundle server run:
docker rm -f bundle-server
Wrap Up
Congratulations for finishing the tutorial !
This tutorial showed how to use OPA as an External authorization service to enforce custom policies by leveraging Envoy’s External authorization filter.
This tutorial also showed a sample OPA policy that returns a boolean decision
to indicate whether a request should be allowed or not.
Envoy's external authorization filter allows optional response headers and body to be sent to the downstream client or upstream. An example of a rule that returns an object that not only indicates if a request is allowed or not but also provides optional response headers, body and HTTP status that can be sent to the downstream client or upstream can be seen here.