Rate limit service
Rate limiting is a powerful technique to improve the availability and resilience of your services. In Emissary, each request can have one or more labels. These labels are exposed to a third-party service via a gRPC API. The third-party service can then rate limit requests based on the request labels.
Note that RateLimitService
is only applicable to Emissary,
and not Ambassador Edge Stack, as Ambassador Edge Stack includes a
built-in rate limit service.
Request labels
See Attaching labels to requests for how to configure the labels that are attached to a request.
Domains
In Emissary, each engineer (or team) can be assigned its own domain. A domain is a separate namespace for labels. By creating individual domains, each team can assign their own labels to a given request, and independently set the rate limits based on their own labels.
See Attaching labels to requests for how to labels under different domains.
External rate limit service
In order for Emissary to rate limit, you need to implement a
gRPC RateLimitService
, as defined in Envoy’s v2/rls.proto
interface. If you do not have the time or resources to implement your own rate
limit service, Ambassador Edge Stack integrates a high-performance rate
limiting service.
Emissary generates a gRPC request to the external rate limit service and provides a list of labels on which the rate limit service can base its decision to accept or reject the request:
[
{"source_cluster", "<local service cluster>"},
{"destination_cluster", "<routed target cluster>"},
{"remote_address", "<trusted address from x-forwarded-for>"},
{"generic_key", "<descriptor_value>"},
{"<some_request_header>", "<header_value_queried_from_header>"}
]
If Emissary cannot contact the rate limit service, it will allow the request to be processed as if there were no rate limit service configuration.
It is the external rate limit service’s responsibility to determine whether rate
limiting should take place, depending on custom business logic. The rate limit
service must simply respond to the request with an OK
or OVER_LIMIT
code:
- If Envoy receives an
OK
response from the rate limit service, then Emissary allows the client request to resume being processed by the normal flow. - If Envoy receives an
OVER_LIMIT
response, then Emissary will return an HTTP 429 response to the client and will end the transaction flow, preventing the request from reaching the backing service.
The headers injected by the AuthService can also be passed to
the rate limit service since the AuthService
is invoked before the
RateLimitService
.
Configuring the rate limit service
A RateLimitService
manifest configures Emissary to use an
external service to check and enforce rate limits for incoming requests:
---
apiVersion: getambassador.io/v3alpha1
kind: RateLimitService
metadata:
name: ratelimit
spec:
service: 'example-rate-limit.default:5000'
protocol_version: oneOf[v2, v3] # optional; default is v2
service
gives the URL of the rate limit service. If using a Kubernetes service, this should be the namespace-qualified DNS name of that service.protocol_version
(optional) gRPC service name used to communicate with theRateLimitService
. Allowed values arev2
which will use theenvoy.service.ratelimit.v2.RateLimitService
, andv3
which will use theenvoy.service.ratelimit.v3.RateLimitService
service name. Note thatv3
requires Emissary to run in Envoy v3 mode by setting the AMBASSADOR_ENVOY_API_VERSION=V3 environment variable.
You may only use a single RateLimitService
manifest.
Rate limit service and TLS
You can tell Emissary to use TLS to talk to your service by
using a RateLimitService
with an https://
prefix. However, you may also
provide a tls
attribute: if tls
is present and true
, Emissary will originate TLS even if the service
does not have the https://
prefix.
If tls
is present with a value that is not true
, the value is assumed to be the name of a defined TLS context, which will determine the certificate presented to the upstream service.
Example
The Emissary Rate Limiting Tutorial has a simple rate limiting example. For a more advanced example, read the advanced rate limiting tutorial, which uses the rate limit service that is integrated with Ambassador Edge Stack.
Further reading
- Rate limiting: a useful tool with distributed systems
- Rate limiting for API Gateways
- Implementing a Java Rate Limiting Service for Emissary
- Designing a Rate Limit Service for Emissary
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