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Prime Deployment

TL;DR

For direct developer deployment for testing, use the helm-deploy-dev-direct.sh shell script.

To change traffic routing/distribution between prime-direct (in default namespace) and prime (in dev namespace):

By default, prime direct accepts requests on the same endpoints (with the http header: x-mode=prime-direct) as prime dev which is deployed by CI.

  • To set all traffic to prime-direct (without headers)
./prime/script/change-prime-direct-canary.sh <service name, e.g. api> full-weight
  • To set all traffic to prime (without headers)
./prime/script/change-prime-direct-canary.sh <service name, e.g. api> zero-weight
  • To set traffic with the header x-mode=prime-direct to prime direct:
./prime/script/change-prime-direct-canary.sh <service name, e.g. api> header

Dev deployment

Prime is automatically deployed into the dev cluster through the circleci pipeline.

Important Notes:

  • The pipeline deploys Prime in the dev namespace. DO NOT modify this deployment.
  • Secrets are created manually and are NOT accessible across namespaces.
  • The default namespace is available for developers to deploy their own test instances of Prime. See below for details on how to do this.
  • The pipeline is triggered by merges to develop. It builds the code, builds a new docker image with a new tag, updates the cloud endpoints (API specs) before it then deploys Prime.
  • The pipeline uses helm to deploy to the dev cluster using the values file (helm deployment config file). See below for details on how to update this file.

Updating helm deployment config

If changes are required to the kubernetes deployment of Prime, you need to edit the helm values file used by the pipeline.

Adding non-secret environment variables

Non-secret environment variables can be defined in the env section of the helm values file. Example:

env: 
    NEO4J_HOST: neo4j-neo4j.neo4j.svc.cluster.local

Adding Secrets as environment variables

Secrets are created manually using kubectl create secret ... -n dev

Remember to create the secrets in the dev namespace before deployment is triggered.

Environment variables from k8s secrets can be defined in the envFromSecret section of the helm values file. Example:

envFromSecret:
  - name: SLACK_WEBHOOK_URI # name of the environment variable that will be exposed to Prime
    secretName: slack-secrets # name of the secret which should pre-exist in the namespace
    secretKey: slackWebHookUri # name of the k8s secret key to get the value from
  - name: ANOTHER_ENV_FROM_SECRET
    secretName: myExistingSecret
    secretKey: theKeyInsideTheSecret

Adding Secrets as volumes mounted to specific paths

Secrets are created manually using kubectl create secret ... -n dev

Remember to create the secrets in the dev namespace before deployment is triggered.

Environment variables from k8s secrets can be defined in the secretVolumes section of the helm values file. Example:

secretVolumes:
  - secretName: "prime-sa-key"  # the secret name
    containerMountPath: "/secret" # the path in the container where the secret is mounted
  # mount a secret on specific path with key projection 
  - secretName: "simmgr-test-secrets"  
    containerMountPath: "/certs"
    secretKey: idemiaClientCert
    secretPath: idemia-client-cert.jks # this is the file name that will appear in the volume

ESP containers config

Each esp container is defined and configured in its own section. The esp section defines the ESP image config (which is common).

ocsEsp: 
  enabled: true # whether to have that esp or not
  env: {} # any env vars to pass to the esp container
  endpointAddress: ocs.dev.oya.world # the cloud endpoint address
  ports: # ports exposed from that esp container. format is: <port-name>: <port-number>
    http2_port: 9000

Services

Services are configured in the services section of the helm values file.

It is very important to set grpcOrHttp2: true if the service being exposed is a GRPC or HTTP2 service

services:
  ocs:
    name: ocs # service name
    type: ClusterIP # k8s service type
    port: 80 # the service port 
    targetPort: 9000 # the target port in the prime container
    portName: grpc # the name of the service port
    host: ocs.dev.oya.world # the DNS at which this service is reachable. This served by Ambassador.
    grpcOrHttp2: true # whether this service exposes an HTTP2 or GRPC service.

TLS certs

The TLS certificates are managed by cert-manager and are automatically created from the helm chart. TLS creation is configured in the certs section of the helm values file.

certs: 
  enabled: true # enabled means create a TLS cert
  dnsProvider: dev-clouddns # the DNS provider configuration. This preconfigured and should not be changed.
  issuer: letsencrypt-production # the Letsencrypt API to use. letsencrypt-production for valid certs or letsencrypt-staging for invalid staging certs.
  tlsSecretName: dev-oya-tls # the name of the secret containing credentials to talk to DNS provider API
  hosts: # a list of the hosts to be included in the cert. wildcard domains must be wrapped in single quotes 
    - '*.dev.oya.world'

Deploying developer test instances

To avoid pipeline waiting time, you can take a short cut and deploy your feature branch directly into the cluster.

Important Notes

  • Developer tests can be done in the default namespace.
  • Secrets will need to be replicated into the default namespace from the dev namespace.

You can copy secrets between namespaces with the following command : $ kubectl get secret <existing-secret-name> --namespace=dev --export -o yaml | kubectl apply --namespace=default -f -

Steps:

Run the prime-direct deploy script

Secrets

  • Place certs at certs/${API_URI}/

  • Create k8s secrets

  • Use -n namespace in kubectl create secret if namespace is not default namespace.

kubectl create secret generic prime-service-account.json --from-file prime/config/prime-service-account.json

Note: To update the secrets defined using yaml, delete and created them again. They are not updated.

kubectl create secret generic stripe-secrets \
  --from-literal=stripeApiKey='keep-stripe-api-key-here' \
  --from-literal=stripeEndpointSecret='keep-stripe-endpoint-secret-here'
kubectl create secret generic slack-secrets --from-literal=slackWebHookUri='https://hooks.slack.com/services/.../.../...'
kubectl create secret generic ocs-ostelco-ssl \
  --from-file=certs/${API_URI}/nginx.crt \
  --from-file=certs/${API_URI}/nginx.key
kubectl create secret generic api-ostelco-ssl \
  --from-file=certs/${API_URI}/nginx.crt \
  --from-file=certs/${API_URI}/nginx.key
kubectl create secret generic metrics-ostelco-ssl \
  --from-file=certs/${API_URI}/nginx.crt \
  --from-file=certs/${API_URI}/nginx.key
kubectl create secret generic jumio-secrets \
  --from-literal=apiToken='jumioApiToken' \
  --from-literal=apiSecret='jumioApiSecret'
kubectl create secret generic myinfo-secrets \
  --from-literal=apiClientId='myInfoApiClientId' \
  --from-literal=apiClientSecret='myInfoApiClientSecret' \
  --from-literal=serverPublicKey='myInfoServerPublicKey' \
  --from-literal=clientPrivateKey='myInfoClientPrivateKey'
kubectl create secret generic scaninfo-secrets --from-literal=bucketName='bucketname'
kubectl create secret generic mandrill-secrets --from-literal=mandrillApiKey='keep-mandrill-api-key-here'
kubectl create secret generic apple-id-auth-secrets \
  --from-literal=teamId='teamId' \
  --from-literal=keyId='keyId' \
  --from-literal=clientId='clientId' \
  --from-literal=privateKey='privateKey'

Keysets for scan information store

The keys are generated using Tinkey tool provied as part of the google tink project More information can be found here: https://github.com/google/tink/blob/v1.2.2/docs/TINKEY.md

To create a new private key set for testing

bazel-bin/tools/tinkey/tinkey create-keyset --key-template ECIES_P256_HKDF_HMAC_SHA256_AES128_GCM --out test_keyset_pvt_cltxt

Generate a public key set from the above private keyset.

bazel-bin/tools/tinkey/tinkey create-public-keyset --in test_keyset_pvt_cltxt --out test_keyset_pub_cltxt

The keysets for production (public key only) needs to be encrypted using GCP KMS. More details can be found in docs for --master-key-uri option in tinkey

  • Create Key ring and master key to be used for encrypting the public keys
gcloud kms keyrings create scan-dev --location global
gcloud kms keys create scan-info --location global --keyring scan-dev --purpose encryption
  • Set the master key URI for decrypting the keysets.
kubectl create secret generic scaninfo-keys --from-literal=masterKeyUri='gcp-kms://projects/${GCP_PROJECT_ID}/locations/global/keyRings/scan-dev/cryptoKeys/scan-info'
  • Create keysets for an environment. Use tinkey to generate
bazel-bin/tools/tinkey/tinkey create-keyset --key-template ECIES_P256_HKDF_HMAC_SHA256_AES128_GCM --out clear_encrypt_key_global_pvt
bazel-bin/tools/tinkey/tinkey create-public-keyset --in clear_encrypt_key_global_pvt --out clear_encrypt_key_global_pub
bazel-bin/tools/tinkey/tinkey convert-keyset --out encrypt_key_global --in clear_encrypt_key_global_pub \
--new-master-key-uri gcp-kms://projects/${GCP_PROJECT_ID}/locations/global/keyRings/scan-dev/cryptoKeys/scan-info

bazel-bin/tools/tinkey/tinkey create-keyset --key-template ECIES_P256_HKDF_HMAC_SHA256_AES128_GCM --out clear_encrypt_key_sg_pvt
bazel-bin/tools/tinkey/tinkey create-public-keyset --in clear_encrypt_key_sg_pvt --out clear_encrypt_key_sg_pub
bazel-bin/tools/tinkey/tinkey convert-keyset --out encrypt_key_sg --in clear_encrypt_key_sg_pub \
--new-master-key-uri gcp-kms://projects/${GCP_PROJECT_ID}/locations/global/keyRings/scan-dev/cryptoKeys/scan-info
  • Set the encryption keysets (public keys only) as kubernetes secrets.
kubectl create secret generic scaninfo-keysets --from-file=./encrypt_key_global --from-file=./encrypt_key_sg --namespace dev

Prime will use CloudKMS (through tink library) to decrypt the keysets. It requires an IAM role to enable these APIs.

gcloud projects add-iam-policy-binding ${GCP_PROJECT_ID} --member serviceAccount:prime-service-account@${GCP_PROJECT_ID}.iam.gserviceaccount.com  --role roles/cloudkms.cryptoKeyEncrypterDecrypter

Cloud Pub/Sub

gcloud pubsub topics create active-users
gcloud pubsub topics create data-traffic
gcloud pubsub topics create purchase-info

gcloud pubsub topics create stripe-event

gcloud pubsub topics create ocs-ccr
gcloud pubsub topics create ocs-cca
gcloud pubsub topics create ocs-activate


gcloud pubsub subscriptions create stripe-event-store-sub --topic=stripe-event --topic-project=${GCP_PROJECT_ID}
gcloud pubsub subscriptions create stripe-event-report-sub --topic=stripe-event --topic-project=${GCP_PROJECT_ID}
gcloud pubsub subscriptions create stripe-event-recurring-payment-sub --topic=stripe-event --topic-project=${GCP_PROJECT_ID}

gcloud pubsub subscriptions create ocs-ccr-sub --topic=ocs-ccr --topic-project=${GCP_PROJECT_ID}
gcloud pubsub subscriptions create ocsgw-cca-sub --topic=ocs-cca --topic-project=${GCP_PROJECT_ID}
gcloud pubsub subscriptions create ocsgw-activate-sub --topic=ocs-activate --topic-project=${GCP_PROJECT_ID}

Connect using Neo4j Browser

Check docs/NEO4J.md

Deploy dataflow pipeline for raw_activeusers

# For dev cluster
gcloud dataflow jobs run active-users-dev \
    --gcs-location gs://dataflow-templates/latest/PubSub_to_BigQuery \
    --region europe-west1 \
    --parameters \
inputTopic=projects/${GCP_PROJECT_ID}/topics/active-users-dev,\
outputTableSpec=${GCP_PROJECT_ID}:ocs_gateway_dev.raw_activeusers


# For production cluster
gcloud dataflow jobs run active-users \
    --gcs-location gs://dataflow-templates/latest/PubSub_to_BigQuery \
    --region europe-west1 \
    --parameters \
inputTopic=projects/${GCP_PROJECT_ID}/topics/active-users,\
outputTableSpec=${GCP_PROJECT_ID}:ocs_gateway.raw_activeusers

Deploy dataflow pipeline for raw_purchases

# For dev cluster
gcloud dataflow jobs run purchase-records-dev \
    --gcs-location gs://dataflow-templates/latest/PubSub_to_BigQuery \
    --region europe-west1 \
    --parameters \
inputTopic=projects/${GCP_PROJECT_ID}/topics/purchase-info-dev,\
outputTableSpec=${GCP_PROJECT_ID}:purchases_dev.raw_purchases


# For production cluster
gcloud dataflow jobs run purchase-records \
    --gcs-location gs://dataflow-templates/latest/PubSub_to_BigQuery \
    --region europe-west1 \
    --parameters \
inputTopic=projects/${GCP_PROJECT_ID}/topics/purchase-info,\
outputTableSpec=${GCP_PROJECT_ID}:purchases.raw_purchases
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