Envoy API
Table of Contents
Overview
Learn how to use Gloo Edge with Envoy’s rate-limit API.
This guide only includes Envoy-style rate limiting examples. To learn about other rate limiting options, install your environment, and set up the components that you need for rate limiting, see Rate limiting setup.
The Envoy API uses two components to define how rate limiting works. For more information on where to define these components in your Gloo Edge custom resources, see Implement rate limiting.
- Rate limiting descriptors describe your requests and are used to define the rate limits themselves.
- Rate limiting actions define the relationship between a request and its generated descriptors.
Descriptors
Rate limiting descriptors define an ordered tuple of keys that must match for the associated rate limit to be applied. The tuple of keys are expressed as a hierarchy to make configuration easy, but it’s the complete tuple of keys matching or not that is important. Each descriptor key can have an associated value that is matched as a literal. You can define rate limits on a key matching a specific value, or you can omit the value to have the limit applied to any unique value for that key. See the Envoy rate limiting configuration doc for full details.
Rate limit descriptors live in the Gloo Edge Settings manifest, so the examples below will reflect a Gloo Edge Settings configuration or patch.
Actions
The Envoy rate limiting actions associated with the Virtual Service or the individual routes allow you to specify how parts of the request are associated to rate limiting descriptor keys defined in the settings. Essentially, these actions tell Gloo Edge which rate limit counters to increment for a particular request.
You can specify more than one rate limit action, and the request is throttled if any one of the actions triggers the rate limiting service to signal throttling, i.e., the rate limiting actions are effectively OR’d together.
Simple Examples
Go through a series of simple rate limiting examples to understand the basic options for defining rate limiting descriptors and actions. Later, you can review more complex examples that use nested tuples of keys, to express more realistic use cases.
Generic Key
A generic key is a specific string literal that is used to match an action to a descriptor.
- To install Gloo Edge and a test app, complete the Before you begin steps in the Rate limiting setup guide.
- Prepare the descriptor that describes your rate limit rule. The following example defines a limit of 1 request per minute for any request that triggers an action on the generic key called
per-minute
.descriptors: - key: generic_key value: "per-minute" rateLimit: requestsPerUnit: 1 unit: MINUTE
- Prepare the action that matches the descriptor you just created. The following action matches on the
generic_key
descriptor key, as well as the"per-minute"
descriptor key’s value.- actions: - genericKey: descriptorValue: "per-minute"
- Place the descriptor and action configurations into the appropriate Gloo Edge custom resources to implement rate limiting. You can choose between referring to a RateLimitConfig resource (Enterprise-only) or entering the descriptors and actions directly into the resources. For more information about implementation options, see the Rate limiting setup guide.
- Place both the descriptors and actions in the RateLimitConfig resource, such as in the following example YAML configuration in GitHub.
- Refer to the RateLimitConfig in the VirtualService that you want to rate limit. You can choose to apply the rate limiting to all the routes on the virtual host, or to specific routes.
- All routes: Refer to the RateLimitConfig in the options for the virtual host, such as in the following example YAML configuration in GitHub.
- Specific route: Refer to the RateLimitConfig in the options for the route, such as in the following example YAML configuration in GitHub.
- Add the descriptor in the Gloo Edge Settings resource, such as in the following example YAML configuration in GitHub.
- Add the action in the VirtualService that you want to rate limit. You can choose to apply the rate limiting to all the routes on the virtual host, or to specific routes.
- All routes: Add the action in the options for the virtual host, such as in the following example YAML configuration in GitHub.
- Specific route: Add the action in the options for the route, such as in the following example YAML configuration in GitHub.
- Verify that the virtual service status is
Accepted
. If not, review the error message and update the virtual service. For example, you might have a missing resource, such as an upstream.kubectl describe vs default -n gloo-system
- Verify that your rate limit works.
- Verify that you can reach your test app by sending a request.
curl -v $(glooctl proxy url)/all-pets
Example response:
HTTP/1.1 200 OK ... [{"id":1,"name":"Dog","status":"available"},{"id":2,"name":"Cat","status":"pending"}]
- Repeat the request. Because the rate limiting rule that you set up limits the requests to 1 time per minute, the request is rate limited.
curl -v $(glooctl proxy url)/all-pets
Example response:
HTTP/1.1 429 Too Many Requests
- Verify that you can reach your test app by sending a request.
Header Values
It may be desirable to create actions based on the value of a header, which is dynamic based on the request, rather than
a generic key, that is static based on the route. The following configuration will define a descriptor that limits requests to 2 per minute
for any unique value for type
:
spec:
ratelimit:
descriptors:
- key: type
rateLimit:
requestsPerUnit: 2
unit: MINUTE
Now we can create a route that triggers a rate limit action for this descriptor:
apiVersion: gateway.solo.io/v1
kind: VirtualService
metadata:
name: example
namespace: gloo-system
spec:
virtualHost:
domains:
- '*'
routes:
- matchers:
- prefix: /
routeAction:
single:
upstream:
name: default-example-80
namespace: gloo-system
options:
ratelimit:
rateLimits:
- actions:
- requestHeaders:
descriptorKey: type
headerName: x-type
With this config, a rate limit of 2 per minute will be enforced for requests depending on the value of the x-type
header,
for every unique value. If we only wanted to enforce this limit for a specific value, we could write that value into our descriptor:
spec:
ratelimit:
descriptors:
- key: type
value: example
rateLimit:
requestsPerUnit: 2
unit: MINUTE
Now, requests that are routing using the virtual service above will be rate limited after 2 requests per second only if the
request includes a header x-type: example
.
Remote Address
A common use case is to rate limit based on client IP address, also referred to as the downstream remote address.
-
Define a descriptor called
remote_address
in the default Settings resource.- Create a file with your rate limit descriptors.
cat > settings-ra-patch.yaml - <<EOF spec: ratelimit: descriptors: - key: remote_address rateLimit: requestsPerUnit: 2 unit: MINUTE EOF
- Patch the default settings in the
gloo-system
namespace.kubectl patch -n gloo-system settings default --type merge --patch "$(cat settings-ra-patch.yaml)"
- Create a file with your rate limit descriptors.
-
On the route, define an action to count against the remote address descriptor.
apiVersion: gateway.solo.io/v1 kind: VirtualService metadata: name: example namespace: gloo-system spec: virtualHost: domains: - '*' routes: - matchers: - prefix: / routeAction: single: upstream: name: default-example-80 namespace: gloo-system options: ratelimit: rateLimits: - actions: - remoteAddress: {}
You may need to make additional configuration changes to Gloo Edge in order for the remote_address
value to be the real
client IP address, and not an address that is internal to the Kubernetes cluster, or that is from a cloud load balancer.
To address these, check out the advanced use case below.
Advanced Concepts
Now that you understand the basic ways to define descriptors and link those to rate limit actions on your routes, we can dig into some more advanced concepts.
Defining limits for tuples of key-value pairs
In the settings, you can define nested descriptors to start to express rules based on tuples instead of a single value.
spec:
ratelimit:
descriptors:
- key: type
descriptors:
- key: number
rateLimit:
requestsPerUnit: 1
unit: MINUTE
This rule enforces a limit of 1 request per minute for any unique combination of type
and number
values. We can define
multiple actions on our routes to apply this rule:
apiVersion: gateway.solo.io/v1
kind: VirtualService
metadata:
name: example
namespace: gloo-system
spec:
virtualHost:
domains:
- '*'
routes:
- matchers:
- prefix: /
routeAction:
single:
upstream:
name: default-example-80
namespace: gloo-system
options:
ratelimit:
rateLimits:
- actions:
- requestHeaders:
descriptorKey: type
headerName: x-type
- requestHeaders:
descriptorKey: number
headerName: x-number
If a request is routed using this virtual service, and the x-type
and x-number
headers are both present on the request,
then it will be counted towards the limit we defined above.
If one or both headers are not present on the request, then no rate limit will be enforced.
The order of actions must match the order of nesting in the descriptors. So in this example, if the actions were reversed, with the number action before the type action, then the request would not count towards the rate limit quota defined above.
Nested Limits
We can define limits at each level of a descriptor tuple. For instance, we may want to enforce the same limit if the type is provided but the number is not:
spec:
ratelimit:
descriptors:
- key: type
rateLimit:
requestsPerUnit: 1
unit: MINUTE
descriptors:
- key: number
rateLimit:
requestsPerUnit: 1
unit: MINUTE
This time, on our virtual service, we’ll define actions for two separate rate limits - one that increments the counter
for the type
limit specifically, and another to increment the counter for the type
and number
pair, when present.
apiVersion: gateway.solo.io/v1
kind: VirtualService
metadata:
name: example
namespace: gloo-system
spec:
virtualHost:
domains:
- '*'
routes:
- matchers:
- prefix: /
routeAction:
single:
upstream:
name: default-example-80
namespace: gloo-system
options:
ratelimit:
rateLimits:
- actions:
- requestHeaders:
descriptorKey: type
headerName: x-type
- actions:
- requestHeaders:
descriptorKey: type
headerName: x-type
- requestHeaders:
descriptorKey: number
headerName: x-number
Note that we now have two different rate limits defined for this virtual service. One contributes to the counter for just type
,
if the x-type
header is present. The other contributes to the counter for the type
and number
pair, if both headers are present.
The request will result in a 429 rate limit response if either limit is reached.
Rule Priority and Weights
We may run into cases where we need fine-grained control over the order of how rules are evaluated. For example, consider this set of descriptors:
spec:
ratelimit:
descriptors:
- key: type
rateLimit:
requestsPerUnit: 1
unit: MINUTE
descriptors:
- key: number
rateLimit:
requestsPerUnit: 10
unit: MINUTE
If the type and number are both present on a request, we want the limit to be 10 per minute. However, with the virtual service
from above, we would observe a limit of 1 per minute - the request would be rate limited based on the first rule, for just matching
on the type
descriptor.
Starting in Gloo Edge 1.x, you can now specify weights on rules. For a particular request that has multiple sets of actions, it will evaluate each and then increment only the matching rules with the highest weight. By default, the weight is 0, so we could fix our config above by adding a weight to the nested descriptor:
spec:
ratelimit:
descriptors:
- key: type
rateLimit:
requestsPerUnit: 1
unit: MINUTE
descriptors:
- key: number
weight: 1
rateLimit:
requestsPerUnit: 10
unit: MINUTE
Based on the virtual service defined above, when a request has both the x-type
and x-number
headers, then it will evaluate both
limits - the limit on type alone, and the limit on the combination of type and number. Since the latter has a higher weight, then
only that counter will be incremented. In that way, requests with a unique type
and number
will be allowed 10 requests per minute,
but requests that only have a type will be limited to 1 per minute.
This logic can be bypassed by using the alwaysApply
flag. So this configuration would behave equivalently to the example before we added
the weight:
spec:
ratelimit:
descriptors:
- key: type
alwaysApply: true
rateLimit:
requestsPerUnit: 1
unit: MINUTE
descriptors:
- key: number
weight: 1
rateLimit:
requestsPerUnit: 10
unit: MINUTE
Customizing Routes
So far, we have been configuring rate limit actions on our virtual services as an option under the virtualHost
.
Alternatively, we can define this as an option on the route:
apiVersion: gateway.solo.io/v1
kind: VirtualService
metadata:
name: example
namespace: gloo-system
spec:
virtualHost:
domains:
- '*'
routes:
- matchers:
- prefix: /
routeAction:
single:
upstream:
name: default-example-80
namespace: gloo-system
# This is now indented to be defined on the route
options:
ratelimit:
includeVhRateLimits: false
rateLimits:
- actions:
- requestHeaders:
descriptorKey: type
headerName: x-type
- actions:
- requestHeaders:
descriptorKey: type
headerName: x-type
- requestHeaders:
descriptorKey: number
headerName: x-number
Note that route-level configuration for rate limiting supports an additional parameter, includeVhRateLimits
, that can be used
to ignore the host-level rate limits.
Advanced Use Cases
Here are a few more advanced cases that may be more representative of a realistic configuration.
Rate limiting by client IP
A common desire is to limit requests based on the IP address of the client that initiated it. We saw how the
remote_address
descriptor and action can be used to express such a rule. However, there were two limitations in the
simple example above: 1) it relied on Envoy properly determining the remote address, which may require other configuration.
And 2) it wasn’t clear how we could express two different limits for the same descriptor - i.e. 10 per second OR 100 per minute.
Configuring Gloo Edge to properly forward the client address
There are several changes we want to make to the configuration of Gloo Edge so that Envoy will honor and forward the
remote address of the downstream client (utilizing common conventions around the x-forwarded-for
header). First, we
can add a configuration to our HTTP connection manager settings to enable the use of remote address:
spec:
httpGateway:
options:
httpConnectionManagerSettings:
useRemoteAddress: true
This configuration should live on your Gateway
object, which manages http connection settings for the Envoy listener.
To apply this as a patch, write it to a file called patch.yaml
, then apply the patch with the following command:
kubectl patch -n gloo-system gateway gateway-proxy --type merge --patch "$(cat patch.yaml)"
This assumes you are trying to patch the default http gateway in the gloo-system namespace.
Second, we may need to customize the way that Gloo Edge interacts with the Load Balancer so that Envoy receives a remote address
that is actually coming from outside the load balancer. In GKE, this can be done by patching the gateway-proxy
service
so that the externalTrafficPolicy
is set to Local
:
spec:
externalTrafficPolicy: Local
To apply this as a patch, write it to a file called patch2.yaml
, then apply the patch with the following command:
kubectl patch -n gloo-system svc gateway-proxy --type merge --patch "$(cat patch2.yaml)"
This assumes you are trying to patch the gateway-proxy service in the gloo-system namespace.
Configuring multiple limits per remote address
Now, using the config from the simple example, we can use the remote_address
descriptor to rate limit based on the real
downstream client address. However, in practice, we may want to express multiple rules, such as a per-second and per-minute
limit.
We can model this by making remote_address
a nested descriptor, and using a generic key that is distinct. For instance,
we could model our settings like this:
spec:
ratelimit:
descriptors:
- key: generic_key
value: "per-minute"
descriptors:
- key: remote_address
rateLimit:
requestsPerUnit: 20
unit: MINUTE
- key: generic_key
value: "per-second"
descriptors:
- key: remote_address
rateLimit:
requestsPerUnit: 2
unit: SECOND
And we can configure a route to count towards both limits:
apiVersion: gateway.solo.io/v1
kind: VirtualService
metadata:
name: example
namespace: gloo-system
spec:
virtualHost:
domains:
- '*'
routes:
- matchers:
- prefix: /
routeAction:
single:
upstream:
name: default-example-80
namespace: gloo-system
options:
ratelimit:
rateLimits:
- actions:
- genericKey:
descriptorValue: "per-minute"
- remoteAddress: {}
- actions:
- genericKey:
descriptorValue: "per-second"
- remoteAddress: {}
Now, we’ll increment a per-minute and per-second rate limit counter based on the client remote address.
Traffic prioritization based on HTTP method
A useful tactic for building resilient, distributed systems is to implement different rate limits for different “priorities” or “classes” of traffic. This practice is strongly related to the concept of load shedding.
Suppose you have exposed an API that supports both GET
and POST
methods for listing data and creating resources respectively. While both pieces of functionality are important, ultimately the POST
action is more important to your business, so you want to protect the availability of the POST
function at the expense of the less important GET
function.
To implement this, we will build on the previous example and provide a global limit per remote client for all traffic classes as well a smaller limit for the less important GET
method. This allows our system to drop the lower priority traffic and protect the higher priority traffic.
We can implement this in Gloo Edge using a descriptor for the method of incoming request in conjunction with the remote client:
spec:
ratelimit:
descriptors:
# allow 5 calls per minute for any unique host
- key: remote_address
rateLimit:
requestsPerUnit: 5
unit: MINUTE
# specifically limit GET requests from unique hosts to 2 per min
- key: method
value: GET
descriptors:
- key: remote_address
rateLimit:
requestsPerUnit: 2
unit: MINUTE
With these limits in place, we are ensuring that the server doesn’t get overwhelmed with GETs
. Now we can add an action to extract the method from the :method
psuedo-header:
apiVersion: gateway.solo.io/v1
kind: VirtualService
metadata:
name: example
namespace: gloo-system
spec:
virtualHost:
domains:
- '*'
routes:
- matchers:
- prefix: /
routeAction:
single:
upstream:
name: default-example-80
namespace: gloo-system
options:
ratelimit:
rateLimits:
- actions:
- remoteAddress: {}
- actions:
- requestHeaders:
descriptorKey: method
headerName: :method
- remoteAddress: {}
How the route will have a per-client limit for general protection while a smaller limit is in place for GET
requests to prevent lower priority traffic from overwhelming the system.
Securing rate limit actions with JWTs
The JWT filter used below is an Enterprise feature.
Using headers is a convenient way to determine values for rate limit actions, but it shouldn’t be considered secure unless extra care is taken to ensure the headers are defined by a trusted authority. A good solution for this is to encode the values as claims in a JWT that is passed on in the request. In the JWT configuration, you can specify the headers to be derived from those extracted claims after the JWT has been verified. Then you can provide users with a secure method of acquiring a JWT, such as through an auth negotiation with a trusted identity provider.
Let’s assume these are our descriptors in Gloo Edge settings:
spec:
ratelimit:
descriptors:
- key: type
rateLimit:
requestsPerUnit: 1
unit: MINUTE
descriptors:
- key: number
weight: 1
rateLimit:
requestsPerUnit: 10
unit: MINUTE
Here’s an example of a virtual service that takes rate limiting actions based on claims extracted from a JWT after verification:
apiVersion: gateway.solo.io/v1
kind: VirtualService
metadata:
name: example
namespace: gloo-system
spec:
virtualHost:
domains:
- '*'
routes:
- matchers:
- prefix: /
routeAction:
single:
upstream:
name: default-example-80
namespace: gloo-system
options:
jwt:
providers:
solo:
tokenSource:
headers:
- header: x-token
queryParams:
- token
claimsToHeaders:
- claim: type
header: x-type
- claim: number
header: x-number
issuer: solo.io
jwks:
local:
key: |
-----BEGIN PUBLIC KEY-----
MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxdil+UiTSKYKV90YkeZ/
9CWvb4XfUgqYDeW/OG1Le+/BvSVkAFc1s3Fg0l9Zo4yvS4OGQszsNGJNl1mYya/L
sSTTD7suKLXY7FBTaBB8CQvvW873yRij1F4EaygOJ1ujuFmpgBGvQLSS5rceNaCl
Qzo+bmf3z0UGbhCxgsjDsJK2/aW2D/3dep/kF1GyEOGz8fewnwVp0zVyuS4UMidV
2cdnAobX2GvPwpjAeIeqhHG3HX4fen+TwU8rkej3y4efKHNj/GbKQmtt2EoOhEox
iK/JALlhQNAJqYn+81amRM7wGWeLEByt0+mwyAfnShOr6MFwrhQjsm4orwAx7yHB
jwIDAQAB
-----END PUBLIC KEY-----
ratelimit:
rateLimits:
- actions:
- requestHeaders:
descriptorKey: type
headerName: x-type
- actions:
- requestHeaders:
descriptorKey: type
headerName: x-type
- requestHeaders:
descriptorKey: number
headerName: x-number
The virtual service looks the same as before, but now we have an additional JWT configuration section that extracts
the x-type
and x-header
claims from the verified JWT. If an invalid JWT was provided, the request would be considered
invalid. Otherwise, the request will be rate limited just like before when the header values came from the user directly.
Improving security further with WAF and authorization
The WAF and auth filters used below are Enterprise features.
Now that we are using JWT verification, we can be confident that the request is from an authenticated user, who has been granted claims from a trusted identity provider. Using those claims provides us confidence that rate limiting determinations will be made based on this trusted data. However, we want to further enhance security.
First, we’ll add a Web Application Firewall (WAF) configuration, in order to protect our proxy, auth, and rate limit server against DOS or other types of malicious or destructive traffic. Gloo Edge exposes this as another option when configuring routes, and provides the powerful modsecurity rule set and language to define WAF behavior in Envoy. In this example, we’ll just use a very simple rule to show how it can be wired up.
Second, we’ll add an authorization check that will block a few types of requests altogether. Our example from before would not
apply rate limits to requests that had no x-type
at all. We also may want to explicitly block some specific values.
Let’s add both of these options to our route by modifying our virtual service:
apiVersion: gateway.solo.io/v1
kind: VirtualService
metadata:
name: example
namespace: gloo-system
spec:
virtualHost:
domains:
- '*'
routes:
- matchers:
- prefix: /
routeAction:
single:
upstream:
name: default-example-80
namespace: gloo-system
options:
jwt:
providers:
solo:
tokenSource:
headers:
- header: x-token
queryParams:
- token
claimsToHeaders:
- claim: type
header: x-type
- claim: number
header: x-number
issuer: solo.io
jwks:
local:
key: |
-----BEGIN PUBLIC KEY-----
MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxdil+UiTSKYKV90YkeZ/
9CWvb4XfUgqYDeW/OG1Le+/BvSVkAFc1s3Fg0l9Zo4yvS4OGQszsNGJNl1mYya/L
sSTTD7suKLXY7FBTaBB8CQvvW873yRij1F4EaygOJ1ujuFmpgBGvQLSS5rceNaCl
Qzo+bmf3z0UGbhCxgsjDsJK2/aW2D/3dep/kF1GyEOGz8fewnwVp0zVyuS4UMidV
2cdnAobX2GvPwpjAeIeqhHG3HX4fen+TwU8rkej3y4efKHNj/GbKQmtt2EoOhEox
iK/JALlhQNAJqYn+81amRM7wGWeLEByt0+mwyAfnShOr6MFwrhQjsm4orwAx7yHB
jwIDAQAB
-----END PUBLIC KEY-----
ratelimit:
rateLimits:
- actions:
- requestHeaders:
descriptorKey: type
headerName: x-type
- actions:
- requestHeaders:
descriptorKey: type
headerName: x-type
- requestHeaders:
descriptorKey: number
headerName: x-number
waf:
ruleSets:
- ruleStr: |
# Turn rule engine on
SecRuleEngine On
SecRule REQUEST_HEADERS:User-Agent "scammer" "deny,status:403,id:107,phase:1,msg:'blocked scammer'"
extauth:
configRef:
name: opa-auth
namespace: gloo-system
Note that we have an inline WAF rule that blocks requests with a suspicious scammer
user agent. We could expand on
this to support things like IP whitelisting or other common WAF use cases.
We also added an extauth
config that references opa-auth
, an AuthConfig CRD:
apiVersion: enterprise.gloo.solo.io/v1
kind: AuthConfig
metadata:
name: opa-auth
namespace: gloo-system
spec:
configs:
- opaAuth:
modules:
- name: allow-jwt
namespace: gloo-system
query: "data.test.allow == true"
And we can define an OPA policy in the allow-jwt
config map to block requests that are missing a type
claim, or that
have the SMS
type:
apiVersion: v1
data:
opa-policy.rego: |-
package test
default allow = false
allow {
[header, payload, signature] = io.jwt.decode(input.http_request.headers["x-token"])
payload["type"] != "SMS"
payload["type"] != ""
}
kind: ConfigMap
metadata:
name: allow-jwt
namespace: gloo-system
Let’s see what happens after deploying these configurations. First, requests with a scammer User-Agent
are rejected
with a modsecurity intervention:
curl $(glooctl proxy url)/ -H "User-Agent: scammer" -i
HTTP/1.1 403 Forbidden
content-length: 33
content-type: text/plain
date: Thu, 30 Apr 2020 22:42:31 GMT
server: envoy
ModSecurity: intervention occured%
Requests without a JWT are blocked:
curl $(glooctl proxy url)/ -i
HTTP/1.1 403 Forbidden
date: Thu, 30 Apr 2020 22:45:15 GMT
server: envoy
content-length: 0
Requests with a JWT that has an invalid signature are blocked:
curl $(glooctl proxy url)/ -i -H "x-token: eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzb2xvLmlvIiwic3ViIjoiMTIzNDU2Nzg5MCIsInR5cGUiOiJNZXNzZW5nZXIifQ.invalid"
HTTP/1.1 401 Unauthorized
content-length: 22
content-type: text/plain
date: Thu, 30 Apr 2020 22:47:05 GMT
server: envoy
Jwt verification fails%
Requests with a valid JWT that has the SMS
type as a claim are blocked:
curl $(glooctl proxy url)/ -i -H "x-token: eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzb2xvLmlvIiwic3ViIjoiMTIzNDU2Nzg5MCIsInR5cGUiOiJTTVMifQ.EviHtVB1mQry8vxraE0tHnuaiaQ_6BWrJmNnyfHmpZWNwWf-RMrljP7KqpuNGtAysFb3YVhsacG0OZ_Ax1A0SBNicsahqlCrTSjIz48Tdz1PNAoGxi9ehLAsqjMMNV05z13YFQHucF1BJ6qaHftVA0AMDm5zXiiMPnW21NNdCghieTiAsyDSS_YXPLV8EfSW8rg0qsb3SvEsEUnF6rR5Ls3jXB-l2hFvRsRHuF4Y79mb_tAYnejoaB4qmVfqy2y9_do-oBnJkI71kfHoF1O-cFT01XOxf5noNvxORQ3GtV3YrWb4fvowWZAPR3Iq4iXkfKnZ2yldth3xrnsVymA3NA"
HTTP/1.1 403 Forbidden
date: Thu, 30 Apr 2020 22:49:03 GMT
server: envoy
content-length: 0
Requests with a valid JWT that has no type in the claims are blocked:
curl $(glooctl proxy url)/ -i -H "x-token: eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzb2xvLmlvIiwic3ViIjoiMTIzNDU2Nzg5MCJ9.ILN6momkxhY01adwnClJfuSqoht5WjNTBjInzT6nx9LN8WkSk3Tg2UrdLTTZ-LNjh805Ltthg5Mt4IRGr5lZ_0_atUBlS-vzC9fNeIsIJIbt8Apl-JnC6LrKFU6EFC9okQyBRyDLhwclDTaLbqY2txK8maaFtlvlr5UY0QvopNSkaTc-lJlCSQf63v_W_VkZrISQAVhYb0r0ptWv6zN0NNe5Fzcw45xjuNUtjMSdI4zDNuc-QuNIs6CKX-iN3FR0zE50Y__T182xVhG78Q0v-jGGQMMtuTLwmn5PCdpQbBoGzVATwuAFiA7WE0M8KDRUmMDJYjWSOBqymfh9WkbSGw"
HTTP/1.1 403 Forbidden
date: Thu, 30 Apr 2020 22:49:54 GMT
server: envoy
content-length: 0
Requests with a valid JWT that has an allowed type (Messenger
) are rate limited after 1 request:
curl $(glooctl proxy url)/ -i -H "x-token: eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzb2xvLmlvIiwic3ViIjoiMTIzNDU2Nzg5MCIsInR5cGUiOiJNZXNzZW5nZXIifQ.gKko2fEw6Jlef3pQzQyk9ygz1Gz7gtyd0TzjHtC7ZSbv_8zUlQCP_AI5dCNQJOcy64pLHN_JB0uBJpbCfPkee01zlKEPaPUVFtBUIcdm9ZwB2J9scuRhdF5A8cU5nv3CwKzJFohKMxxhM29kojC8pG5XhI4l3oJ0elf2TN1YoMm8yc0lEYARBRR6gQMfukydHQFodvS0_hHi35LviM16-fEksjjchOTtHs9XxsXKLAmI00T5JwPzYTyHWYcQGnNHZiXr6-K809NyR-jPwdPCktxYvDkl9muZi1SQ5q779WmgZE-SvGfJNkjkld1LI3Ed_ASmgBwboHLxlcyoge3_tA"
HTTP/1.1 429 Too Many Requests
x-envoy-ratelimited: true
date: Thu, 30 Apr 2020 22:54:01 GMT
server: envoy
content-length: 0
Finally, requests with a valid JWT that has an allowed type and a number are rate limited after 10 requests:
curl $(glooctl proxy url)/ -i -H "x-token: eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzb2xvLmlvIiwic3ViIjoiMTIzNDU2Nzg5MCIsInR5cGUiOiJNZXNzZW5nZXIiLCJudW1iZXIiOiIxMjMifQ.xN3_MQU6NXHlG2QuAhZsWZlgZLb0htsitPwbsQeilxWAHer7k77zwT59Dehjw1VevYeyMAydu_gIhrXDu6_9keYDbhbd747SOmxNMLdPAnBSPNzukMckALFiG8HqNYeG_dh6ilWfuNZH_GvvMtDfbVqUDiLWepeK-AGZtztYh9CL8xMzqSe26Xh_2UnMQ1oj6hA11BHm0nsZoT1rxIhWAX7NF8RxH27GdzSNeikNN7_5VTbQpUifCTIjs6suvAktXY0y8KU2xEX6Pi2UuE5lYAgCDKe8BCb8QSquYxRQ3qhbPs2fIbwDEmSyueGd38apU4nQ1ryy-KxlsuuH4-ETuA"
HTTP/1.1 429 Too Many Requests
x-envoy-ratelimited: true
date: Thu, 30 Apr 2020 22:55:59 GMT
server: envoy
content-length: 0
As we can now see, by taking advantage of other Gloo Edge security features, we can ensure rate limits are enforced while also securing routes against any kind of request that we didn’t target with our rate limiting actions.