Server Config (Enterprise)

To enforce rate limiting, Envoy queries an external rate limit server. You can configure changes to the rate limit server as follows.

Configure Envoy rate limit query behavior

To achieve global rate limiting, Envoy queries an external server that is backed by Redis by default. You can configure the default query behavior as described in the following table.

Query behavior Default value How you can change the default
Timeout for the query 100ms Change the timeout duration, such as to 200ms.
glooctl edit settings --name default --namespace gloo-system ratelimit --request-timeout=200ms
Query failure behavior Allow the request Deny the request if the rate limit service cannot complete the query.
glooctl edit settings --name default --namespace gloo-system ratelimit --deny-on-failure=true

Change the rate limit server’s backing database

By default, the rate limit server is backed by a Redis instance that Gloo Edge deploys for you. Redis is a good choice for global rate limiting data storage because of its low latency. However, you might want to use a different database for the following reasons:

Gloo Edge supports the following external databases for the rate limit server:

Aerospike-backed rate limit server

You can use Aerospike as the backing storage database for the Gloo Edge rate limit server. Aerospike is a real-time data platform with support for helpful features such as in-memory storage and streaming.

You can use Aerospike with Gloo Edge Enterprise version 1.13.0 or later.

If you use also use Aerospike to store your Gloo Portal API keys, your Aerospike configurations must match. For example, use the same Aerospike IP address, port, and namespace in your Gloo Portal Storage custom resoure configuration and the rate limit server.

  1. Create an Aerospike database instance to use as the backing storage for the rate limit server. For setup steps, see the Gloo Portal documentation.
  2. To rate limit APIs that you manage with Gloo Portal, make sure that your configuration matches the configuration that you used with your Gloo Portal Storage custom resource.
  3. Install or upgrade your Gloo Edge Enterprise Helm installation by completing the following steps:
    1. Disable the default Redis server backing storage by setting rateLimit.enabled to false.
    2. Provide the rate limiting Aerospike Helm chart configuration options, as shown in the following table. These values match what you configured in your Aerospike database setup.
Option Type Description
rateLimit.deployment.aerospike.address string The IP address or hostname of the Aerospike database. The address must be reachable from Gloo Edge, such as in a virtual machine with a public IP address or in a pod in the cluster. By setting this value, you also enable Aerospike database as the backing storage for the rate limit service.
rateLimit.deployment.aerospike.namespace string The Aerospike namespace of the database. The default value is solo-namespace.
rateLimit.deployment.aerospike.set string The Aerospike name of the database set. The default value is ratelimiter.
rateLimit.deployment.aerospike.port int The port of the rateLimit.deployment.aerospike.address. The default port is 3000.
rateLimit.deployment.aerospike.batchSize int The size of the batch, which is the number of keys sent in the request. The default value is 5000.
rateLimit.deployment.aerospike.commitLevel int The level of guaranteed consistency for transaction commits on the Aerospike server. For possible values, see the Aerospike commit policy. The default value is 1.
rateLimit.deployment.aerospike.readModeSC int The read mode for strong consistency (SC) options. For possible values, see the Aerospike read mode SC. The default value is 0.
rateLimit.deployment.aerospike.readModeAP int The read mode for availability (AP). For possible values, see the Aerospike read mode AP. The default value is 0.
rateLimit.deployment.aerospike.tls.name string The subject name of the TLS authority. For more information, see the Aerospike docs.
rateLimit.deployment.aerospike.tls.version string The TLS version. Versions 1.0, 1.1, 1.2, and 1.3 are supported. The default value is 1.3.
rateLimit.deployment.aerospike.tls.insecure bool The TLS insecure setting. If set to true, the authority of the certificate on the client’s end is not authenticated. You might use insecure mode in non-production environments when the certificate is not known. The default value is false.
rateLimit.deployment.aerospike.tls.certSecretName string The name of the kubernetes.io/tls secret that has the tls.crt and tls.key data.
rateLimit.deployment.aerospike.tls.rootCASecretName string The secret name for the Opaque root CA that sets the key as tls.crt.
rateLimit.deployment.aerospike.tls.curveGroups[] string The TLS identifier for an elliptic curve. For more information, see TLS supported groups.

DynamoDB-backed rate limit server

You can use DynamoDB as the backing storage database for the Gloo Edge rate limit server. DynamoDB is built for single-millisecond latencies. It includes features such as built-in replication (DynamoDB Global Tables) that can help you set up global rate limiting across multiple instances or multiple data centers.

You can use DynamoDB with Gloo Edge Enterprise version 0.18.29 or later.

  1. Create a secret in your cluster that includes your AWS credentials for the DynamoDB that you want to use. The secret must be in the same namespace as your Gloo installation, such as gloo-system. For more information, see the AWS docs.
    glooctl create secret aws -n gloo-system --access-key <aws_access_key> --secret-key <aws_secret_key>
    
  2. Install or upgrade your Gloo Edge Enterprise Helm installation by completing the following steps:
    1. Disable the default Redis server backing storage by setting rateLimit.enabled to false.
    2. Provide the rate limiting DynamoDB Helm chart configuration options, as shown in the following table.
Option Type Description
rateLimit.deployment.dynamodb.secretName string Required: The name of the secret with the AWS credentials that you previously created. The secret must be in the same namespace as your Gloo installation, such as gloo-system.
rateLimit.deployment.dynamodb.region string The AWS region to run the DynamoDB requests in. The default region is us-east-2.
rateLimit.deployment.dynamodb.tableName string The name of the DynamoDB table that backs the rate limit service. The default name is rate-limits.
rateLimit.deployment.dynamodb.consistentReads bool If true, the reading response from DynamoDB is strongly consistent, or the most up-to-date data. The default value is false, or eventually consistent, which might be less accurate but also has lower latency and less chance of a 500 response than strongly consistent. For more information, see the DynamoDB docs.
rateLimit.deployment.dynamodb.batchSize uint8 The batch size for GET requests to DynamoDB. The max value is 100, which is also the default value.

As part of the rate limit service deployment, Gloo Edge uses the provided AWS credentials to automatically create the rate limits DynamoDB table (default name rate-limits) in your AWS region (default us-east-2). If you want to turn the table into a globally replicated table, you can select the regions to replicate to in the DynamoDB AWS console UI.

Redis-backed rate limit server

You can use a clustered Redis instance as the backing storage database for the Gloo Edge rate limit server. Redis is an open source, in-memory database with features such as data persistence, server-side scripting and Redis Functions, extensibility, and sharding for horizontal scalability, clustering for high availability. For more information, see the Redis docs.

  1. Install a clustered Redis instance in your cluster. The following example uses a Helm chart and Redis version 6. You can use the following versions of Redis with Gloo Edge.
    • Redis 6
    • Redis 7 in Gloo Edge 1.13 or later
    helm repo add bitnami https://charts.bitnami.com/bitnami
    helm repo update
    helm install redis -n redis bitnami/redis-cluster --set fullnameOverride=redis --set global.redis.password=redis --set image.tag=6.2.12-debian-11-r0 --version 8.1.1 --create-namespace
    
  2. Create a secret with your Redis credentials in the same namespace as your Gloo Edge installation, such as gloo-system. Make sure to encode your credentials in base64. For more information, see the Redis security docs.
    cat << EOF | kubectl apply -f -
    apiVersion: v1
    kind: Secret
    metadata:
      name: redis
      namespace: gloo-system
      labels:
        app.kubernetes.io/instance: redis
    type: Opaque
    data:
      redis-password: <base64_password>
      users.acl: <base64_access-control-list>
    EOF
    
  3. Install or upgrade your Gloo Edge Enterprise Helm installation by completing the following steps:
    1. Disable the default Redis server backing storage by setting rateLimit.enabled to false.

    2. Provide the rate limiting Redis Helm chart configuration options, as shown in the following table.

      redis:
        disabled: true
        clustered: true
        service:
          name: "redis.redis.svc"
          port: 6379
      
      Option Type Description
      redis.disabled bool Set to true to disable a default Redis instance, so that you can bring your own clustered Redis.
      redis.clustered bool Set to true to bring your own clustered Redis instance.
      redis.service.name string The name of the service to use to access the Redis instance, such as the default redis.redis.svc.
      redis.service.port string The port to access Redis on, which by default is 6379.
    3. Make sure that the rate limit server refers to the secret that you created. You can choose between the following options.

      • Override the rate limit deployment Helm values to refer to the secret. For values, see the Helm reference docs.
      • Restart the rate limit pods after creating the secret and re-installing with the clustered Redis instance.

Debug the rate limit server

  1. Show the states from the Envoy proxy in your cluster.

    glooctl proxy stats
    
  2. In the output, check for rate limiting errors from stats that end in ratelimit.error.

  3. Start the rate limiting server locally, such as with the following command.

    kubectl port-forward -n gloo-system deploy/rate-limit 9091
    
  4. Check the active configuration of the rate limiting server by opening the following localhost URL.

    localhost:9091/rlconfig
    

    For all administrative options, open the following localhost URL.

    localhost:9091
    
  5. Check the backing storage database of the rate limit server.

    • Default Redis server: By default, the rate limit server uses Redis as an in-memory cache of the current rate limit counters with their associated timeouts. To check the current value of rate limit counters, inspect Redis.
      1. Start the Redis instance locally, such as with the following command.
        kubectl port-forward -n gloo-system deploy/redis 6379
        
      2. Connect to the Redis instance, such as with the redis_cli tool.
      3. Query the Redis instance, such as the following.
        • scan 0 to list all the current counters.
        • get COUNTER to inspect the current value of a counter.
    • DynamoDB: Refer to the DynamoDB docs, such as Query data or Common Errors.
    • Aerospike: Refer to the Aerospike docs, such as Troubleshooting.