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Overview

The Data Theorem API Protect Gloo Edge agent can be deployed to one or several kubernetes clusters in order to monitor and collect data about incoming API requests. The data is then sent to Data Theorem’s platform for further analysis, in order to automatically discover APIs and detect attacks.

Deployment

Deploying the agent requires a configured Gloo Edge installation and the two zip archives you should receive during oboarding.

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These instructions will enable traffic mirroring for selected incoming requests; the request will be sent to Data Theorem’s traffic analyzer services.

Installation

Step 1 : Extract all the items which you should receive during the onboarding process.

Code Block
unzip GLOO.zip
unzip network_analyzer_helm_charts.zip
tar xf forwarding_service_helm_charts.tgz

Step 2 : Verify you are configured for the correct kubernetes cluster

kubectl config current-context

Step 3 : Install the API Protect base services

Code Block
helm install network-analyzer \
    ./network_analyzer        \
    --create-namespace        \
    --namespace datatheorem   \
    --set bearerToken=$(cat .some-file-with-bearer-token)

Step 4 : Now you should have some kubernetes services/pods looking like this:

Code Block
kubectl -n datatheorem get pods
NAME                     READY   STATUS    RESTARTS   AGE
oas-f67f46fdb-6xwp8      1/1     Running   0          69s
ps-5c46f88c9d-rc4n7      1/1     Running   0          69s
redis-6b5d9949f8-lp59c   1/1     Running   0          69s
tds-977869565-9rxmz      1/1     Running   0          69s

Step 5 : Now we need the IP address of the ps-service, and confirm it looks like an IP address.

Code Block
PS_SERVICE_ADDRESS=$(kubectl -n datatheorem get service ps-service | grep "ps-service" | xargs | cut -d" " -f3) && echo $PS_SERVICE_ADDRESS

Step 6 : Add the DataTheorem forwarding service.

Code Block
helm install forwarding-service  \
    ./forwarding_service         \
    --namespace datatheorem      \
    --set forwarding_address=http://${PS_SERVICE_ADDRESS}:8081

Step 7 : Find existing upstream configurations

glooctl get upstream

Step 8 : Choose an upstream to mirror and list its endpoints, e.g "default-petstore-8080"

Add mirroring to the chosen endpoint. This step must be repeated for each endpoint.

Code Block
KUBE_UPSTREAM_NAMESPACE=default
KUBE_UPSTREAM_NAME=petstore
KUBE_UPSTREAM_PORT=8080
KUBE_UPSTREAM_ENDPOINT=/api/pets
helm install gloo-vtap-endpoint \
    ./gloo_vtap_endpoint        \
    --namespace datatheorem     \
    --set kubeUpstreamNamespace=${KUBE_UPSTREAM_NAMESPACE} \
    --set kubeUpstreamName=${KUBE_UPSTREAM_NAME}           \
    --set kubeUpstreamPort=${KUBE_UPSTREAM_PORT}           \
    --set kubeUpstreamEndpoint=${KUBE_UPSTREAM_ENDPOINT}

Step 9 : Verify the deployment

It should look something like this

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