Overview
Docker Image
- Distroless Base Image
  - Benefits of Distroless:
  - Debugging with Distroless:
Supported Envoy APIs
- API Deprecation History
Building and Testing
Configuration
Request Fields
GRPC Client
- Commandline flags
Global ShadowMode
- Configuration
- Statistics
Statistics
HTTP Port
- /json endpoint
Debug Port
Local Cache
Redis
Memcache
Custom headers
Tracing
TLS
mTLS
Contact

Overview

The rate limit service is a Go/gRPC service designed to enable generic rate limit scenarios from different types of applications. Applications request a rate limit decision based on a domain and a set of descriptors. The service reads the configuration from disk via runtime, composes a cache key, and talks to the Redis cache. A decision is then returned to the caller.

Docker Image

For every main commit, an image is pushed to Dockerhub. There is currently no versioning (post v1.4.0) and tags are based on commit sha.

Distroless Base Image

The Docker image uses Google’s distroless base image (gcr.io/distroless/static-debian12:nonroot) for enhanced security and minimal attack surface. Distroless images contain only the application and its runtime dependencies, omitting unnecessary OS components like package managers, shells, and other utilities.

The image is pinned to a specific SHA digest for deterministic builds and uses the nonroot variant to run as a non-privileged user, following security best practices.

Benefits of Distroless:

Enhanced Security: Minimal attack surface with no unnecessary components
Smaller Image Size: Significantly smaller than traditional base images
Reduced Vulnerabilities: Fewer components means fewer potential security issues
Better Compliance: Meets security requirements for minimal base images
Non-root Execution: Runs as a non-privileged user (UID 65532) for enhanced security
Deterministic Builds: Pinned to specific SHA digest ensures reproducible builds

Debugging with Distroless:

For debugging purposes, you can use the debug variant of the distroless image:

FROM gcr.io/distroless/static-debian12:debug
COPY --from=build /go/bin/ratelimit /bin/ratelimit

This provides shell access and debugging tools while maintaining the security benefits of distroless.

Supported Envoy APIs

v3 rls.proto is currently supported. Support for v2 rls proto is now deprecated.

API Deprecation History

v1.0.0 tagged on commit 0ded92a2af8261d43096eba4132e45b99a3b8b14. Ratelimit has been in production use at Lyft for over 2 years.
v1.1.0 introduces the data-plane-api proto and initiates the deprecation of the legacy ratelimit.proto.
e91321b commit deleted support for the legacy ratelimit.proto. The current version of ratelimit protocol is changed to v3 rls.proto while v2 rls.proto is still supported as a legacy protocol.
4bb32826 deleted support for legacy v2 rls.proto

Building and Testing

Install Redis-server.
Make sure go is setup correctly and checkout rate limit service into your go path. More information about installing go here.
In order to run the integration tests using a local Redis server please run two Redis-server instances: one on port 6379 and another on port 6380
```
redis-server --port 6379 &
redis-server --port 6380 &
```
To setup for the first time (only done once):
```
make bootstrap
```
To compile:
```
make compile
```
Ensure you set the correct platform if running OSX host with a linux container e.g.
```
GOOS=linux make compile
```
To compile and run tests:
```
make tests
```

To run the server locally using some sensible default settings you can do this (this will setup the server to read the configuration files from the path you specify):

USE_STATSD=false LOG_LEVEL=debug REDIS_SOCKET_TYPE=tcp REDIS_URL=localhost:6379 RUNTIME_ROOT=/home/user/src/runtime/data RUNTIME_SUBDIRECTORY=ratelimit RUNTIME_APPDIRECTORY=config

Docker-compose setup

The docker-compose setup uses a distroless-based container for the ratelimit service. In order to run the docker-compose setup from the root of the repo, run

docker-compose up

The ratelimit service is built using the main Dockerfile which uses Google’s distroless base image for enhanced security and minimal attack surface. The distroless image contains only the application and its runtime dependencies, omitting unnecessary OS components like package managers and shells.

If you want to run with two redis instances, you will need to modify the docker-compose.yml file to run a second redis container, and change the environment variables as explained in the two redis instances section.

Full test environment - Configure rate limits through files

To run a fully configured environment to demo Envoy based rate limiting, run:

export CONFIG_TYPE=FILE
docker-compose -f docker-compose-example.yml up --build --remove-orphans

This will run ratelimit, redis, prom-statsd-exporter and two Envoy containers such that you can demo rate limiting by hitting the below endpoints.

curl localhost:8888/test
curl localhost:8888/header -H "foo: foo" # Header based
curl localhost:8888/twoheader -H "foo: foo" -H "bar: bar" # Two headers
curl localhost:8888/twoheader -H "foo: foo" -H "baz: baz"  # This will be rate limited
curl localhost:8888/twoheader -H "foo: foo" -H "bar: banned" # Ban a particular header value
curl localhost:8888/twoheader -H "foo: foo" -H "baz: shady" # This will never be ratelimited since "baz" with value "shady" is in shadow_mode
curl localhost:8888/twoheader -H "foo: foo" -H "baz: not-so-shady" # This is subject to rate-limiting because the it's now in shadow_mode

Edit examples/ratelimit/config/example.yaml to test different rate limit configs. Hot reloading is enabled.

The descriptors in example.yaml and the actions in examples/envoy/proxy.yaml should give you a good idea on how to configure rate limits.

To see the metrics in the example

# The metrics for the shadow_mode keys
curl http://localhost:9102/metrics | grep -i shadow

Full test environment - Configure rate limits through an xDS Management Server

To run a fully configured environment to demo Envoy based rate limiting, run:

export CONFIG_TYPE=GRPC_XDS_SOTW
docker-compose -f docker-compose-example.yml --profile xds-config up --build --remove-orphans

This will run in xds-config docker-compose profile which will run example xDS-Server, ratelimit, redis, prom-statsd-exporter and two Envoy containers such that you can demo rate limiting by hitting the below endpoints.

curl localhost:8888/test
curl localhost:8888/header -H "foo: foo" # Header based
curl localhost:8888/twoheader -H "foo: foo" -H "bar: bar" # Two headers
curl localhost:8888/twoheader -H "foo: foo" -H "baz: baz"  # This will be rate limited
curl localhost:8888/twoheader -H "foo: foo" -H "bar: banned" # Ban a particular header value
curl localhost:8888/twoheader -H "foo: foo" -H "baz: shady" # This will never be ratelimited since "baz" with value "shady" is in shadow_mode
curl localhost:8888/twoheader -H "foo: foo" -H "baz: not-so-shady" # This is subject to rate-limiting because the it's now in shadow_mode

Editexamples/xds-sotw-config-server/resource.go to test different rate limit configs.

To see the metrics in the example

# The metrics for the shadow_mode keys
curl http://localhost:9102/metrics | grep -i shadow

Self-contained end-to-end integration test

Integration tests are coded as bash-scripts in integration-test/scripts.

The test suite will spin up a docker-compose environment from integration-test/docker-compose-integration-test.yml

If the test suite fails it will exit with code 1.

make integration_tests

Configuration

The configuration format

The rate limit configuration file format is YAML (mainly so that comments are supported).

Definitions

Domain: A domain is a container for a set of rate limits. All domains known to the Ratelimit service must be globally unique. They serve as a way for different teams/projects to have rate limit configurations that don’t conflict.
Descriptor: A descriptor is a list of key/value pairs owned by a domain that the Ratelimit service uses to select the correct rate limit to use when limiting. Descriptors are case-sensitive. Examples of descriptors are:
- (“database”, “users”)
- (“message_type”, “marketing”),(“to_number”,”2061234567”)
- (“to_cluster”, “service_a”)
- (“to_cluster”, “service_a”),(“from_cluster”, “service_b”)

Descriptor list definition

Each configuration contains a top level descriptor list and potentially multiple nested lists beneath that. The format is:

domain: <unique domain ID>
descriptors:
  - key: <rule key: required>
    value: <rule value: optional>
    rate_limit: (optional block)
      name: (optional)
      replaces: (optional)
       - name: (optional)
      unit: <see below: required>
      requests_per_unit: <see below: required>
    shadow_mode: (optional)
    detailed_metric: (optional)
    value_to_metric: (optional)
    share_threshold: (optional)
    descriptors: (optional block)
      - ... (nested repetition of above)

Each descriptor in a descriptor list must have a key. It can also optionally have a value to enable a more specific match. The “rate_limit” block is optional and if present sets up an actual rate limit rule. See below for how the rule is defined. If the rate limit is not present and there are no nested descriptors, then the descriptor is effectively whitelisted. Otherwise, nested descriptors allow more complex matching and rate limiting scenarios.

Rate limit definition

rate_limit:
  unit: <second, minute, hour, day>
  requests_per_unit: <uint>

The rate limit block specifies the actual rate limit that will be used when there is a match. Currently the service supports per second, minute, hour, and day limits. More types of limits may be added in the future based on user demand.

Replaces

The replaces key indicates that this descriptor will replace the configuration set by another descriptor.

If there is a rule being evaluated, and multiple descriptors can apply, the replaces descriptor will drop evaluation of the descriptor which it is replacing.

To enable this, any descriptor which should potentially be replaced by another should have a name keyword in the rate_limit section, and any descriptor which should potentially replace the original descriptor should have a name keyword in its respective replaces section. Whenever limits match to both rules, only the rule which replaces the original will take effect, and the limit of the original will not be changed after evaluation.

For example, let’s say you have a bunch of endpoints and each is classified under read or write, with read having a certain limit and write having another. Each user has a certain limit for both endpoints. However, let’s say that you want to increase a user’s limit to a single read endpoint. The only option without using replaces would be to increase their limit for the read category. The replaces keyword allows increasing the limit of a single endpoint in this case.

ShadowMode

A shadow_mode key in a rule indicates that whatever the outcome of the evaluation of the rule, the end-result will always be “OK”.

When a block is in ShadowMode all functions of the rate limiting service are executed as normal, with cache-lookup and statistics

An additional statistic is added to keep track of how many times a key with “shadow_mode” has overridden result.

There is also a Global Shadow Mode

Including detailed metrics for unspecified values

Setting the detailed_metric: true for a descriptor will extend the metrics that are produced. Normally a descriptor that matches a value that is not explicitly listed in the configuration will from a metrics point-of-view be rolled-up into the base entry. This can be problematic if you want to have those details available for analysis.

NB! This should only be enabled in situations where the potentially large cardinality of metrics that this can lead to is acceptable.

Including descriptor values in metrics

Setting value_to_metric: true (default: false) for a descriptor will include the descriptor’s runtime value in the metric key, even when the descriptor value is not explicitly defined in the configuration. This allows you to track metrics per descriptor value when the value comes from the runtime request, providing visibility into different rate limit scenarios without needing to pre-define every possible value.

Note: If a value is explicitly specified in a descriptor (e.g., value: "GET"), that value is always included in the metric key regardless of the value_to_metric setting. The value_to_metric flag only affects descriptors where the value is not explicitly defined in the configuration.

When combined with wildcard matching, the full runtime value is included in the metric key, not just the wildcard prefix. This feature works independently of detailed_metric - when detailed_metric is set, it takes precedence and value_to_metric is ignored.

Setting share_threshold: true (default: false) for a descriptor with a wildcard value (ending with *) allows all values matching that wildcard to share the same rate limit threshold, instead of using isolated thresholds for each matching value.

This is useful when you want to apply a single rate limit across multiple resources that match a wildcard pattern. For example, if you have a rule for files/*, both files/a.pdf and files/b.csv will share the same threshold when share_threshold: true is set.

Important notes:

share_threshold can only be used with wildcard values (values ending with *)
When share_threshold: true is enabled, all matching values share the same cache key and rate limit counter
When share_threshold: false (or not set), each matching value has its own isolated threshold
When combined with value_to_metric: true, the metric key includes the wildcard prefix (the part before *) instead of the full runtime value, to reflect that values are sharing a threshold
When combined with detailed_metric: true, the metric key also includes the wildcard prefix for entries with share_threshold enabled

Examples

Example 1

Let’s start with a simple example:

domain: mongo_cps
descriptors:
  - key: database
    value: users
    rate_limit:
      unit: second
      requests_per_unit: 500

  - key: database
    value: default
    rate_limit:
      unit: second
      requests_per_unit: 500

In the configuration above the domain is “mongo_cps” and we setup 2 different rate limits in the top level descriptor list. Each of the limits have the same key (“database”). They have a different value (“users”, and “default”), and each of them setup a 500 request per second rate limit.

Example 2

A slightly more complex example:

domain: messaging
descriptors:
  # Only allow 5 marketing messages a day
  - key: message_type
    value: marketing
    descriptors:
      - key: to_number
        rate_limit:
          unit: day
          requests_per_unit: 5

  # Only allow 100 messages a day to any unique phone number
  - key: to_number
    rate_limit:
      unit: day
      requests_per_unit: 100

In the preceding example, the domain is “messaging” and we setup two different scenarios that illustrate more complex functionality. First, we want to limit on marketing messages to a specific number. To enable this, we make use of nested descriptor lists. The top level descriptor is (“message_type”, “marketing”). However this descriptor does not have a limit assigned so it’s just a placeholder. Contained within this entry we have another descriptor list that includes an entry with key “to_number”. However, notice that no value is provided. This means that the service will match against any value supplied for “to_number” and generate a unique limit. Thus, (“message_type”, “marketing”), (“to_number”, “2061111111”) and (“message_type”, “marketing”),(“to_number”, “2062222222”) will each get 5 requests per day.

The configuration also sets up another rule without a value. This one creates an overall limit for messages sent to any particular number during a 1 day period. Thus, (“to_number”, “2061111111”) and (“to_number”, “2062222222”) both get 100 requests per day.

When calling the rate limit service, the client can specify multiple descriptors to limit on in a single call. This limits round trips and allows limiting on aggregate rule definitions. For example, using the preceding configuration, the client could send this complete request (in pseudo IDL):

RateLimitRequest:
  domain: messaging
  descriptor: ("message_type", "marketing"),("to_number", "2061111111")
  descriptor: ("to_number", "2061111111")

And the service will rate limit against all matching rules and return an aggregate result; a logical OR of all the individual rate limit decisions.

Example 3

An example to illustrate matching order.

domain: edge_proxy_per_ip
descriptors:
  - key: remote_address
    rate_limit:
      unit: second
      requests_per_unit: 10

  # Black list IP
  - key: remote_address
    value: 50.0.0.5
    rate_limit:
      unit: second
      requests_per_unit: 0

In the preceding example, we setup a generic rate limit for individual IP addresses. The architecture’s edge proxy can be configured to make a rate limit service call with the descriptor ("remote_address", "50.0.0.1") for example. This IP would get 10 requests per second as would any other IP. However, the configuration also contains a second configuration that explicitly defines a value along with the same key. If the descriptor ("remote_address", "50.0.0.5") is received, the service will attempt the most specific match possible. This means the most specific descriptor at the same level as your request. Thus, key/value is always attempted as a match before just key.

Example 4

The Ratelimit service matches requests to configuration entries with the same level, i.e same number of tuples in the request’s descriptor as nested levels of descriptors in the configuration file. For instance, the following request:

RateLimitRequest:
  domain: example4
  descriptor: ("key", "value"),("subkey", "subvalue")

Would not match the following configuration. Even though the first descriptor in the request matches the 1st level descriptor in the configuration, the request has two tuples in the descriptor.

domain: example4
descriptors:
  - key: key
    value: value
    rate_limit:
      requests_per_unit: 300
      unit: second

However, it would match the following configuration:

domain: example4
descriptors:
  - key: key
    value: value
    descriptors:
      - key: subkey
        rate_limit:
          requests_per_unit: 300
          unit: second

Example 5

We can also define unlimited rate limit descriptors:

domain: internal
descriptors:
  - key: ldap
    rate_limit:
      unlimited: true

  - key: azure
    rate_limit:
      unit: minute
      requests_per_unit: 100

For an unlimited descriptor, the request will not be sent to the underlying cache (Redis/Memcached), but will be quickly returned locally by the ratelimit instance. This can be useful for collecting statistics, or if one wants to define a descriptor that has no limit but the client wants to distinguish between such descriptor and one that does not exist.

The return value for unlimited descriptors will be an OK status code with the LimitRemaining field set to MaxUint32 value.

Example 6

A rule using shadow_mode is useful for soft-launching rate limiting. In this example

RateLimitRequest:
  domain: example6
  descriptor: ("service", "auth-service"),("user", "user-a")

user-a of the auth-service would not get rate-limited regardless of the rate of requests, there would however be statistics related to the breach of the configured limit of 10 req / sec.

user-b would be limited to 20 req / sec however.

domain: example6
descriptors:
  - key: service
    descriptors:
      - key: user
        value: user-a
        rate_limit:
          requests_per_unit: 10
          unit: second
        shadow_mode: true
      - key: user
        value: user-b
        rate_limit:
          requests_per_unit: 20
          unit: second

Example 7

When the replaces keyword is used, that limit will replace any limit which has the name being replaced as its name, and the original descriptor’s limit will not be affected.

In the example below, the following limits will apply:

(key_1, value_1), (user, bkthomps): 5 / sec
(key_2, value_2), (user, bkthomps): 10 / sec
(key_1, value_1), (key_2, value_2), (user, bkthomps): 10 / sec since the (key_1, value_1), (user, bkthomps) rule was replaced and this will not affect the 5 / sec limit that would take effect with (key_2, value_2), (user, bkthomps)

domain: example7
descriptors:
  - key: key_1
    value: value_1
    descriptors:
      - key: user
        value: bkthomps
        rate_limit:
          name: specific_limit
          requests_per_unit: 5
          unit: second
  - key: key_2
    value: value_2
    descriptors:
      - key: user
        value: bkthomps
        rate_limit:
          replaces:
            - name: specific_limit
          requests_per_unit: 10
          unit: second

Example 8

In this example we demonstrate how a descriptor without a specified value is configured to override the default behavior and include the matched-value in the metrics.

Rate limiting configuration and tracking works as normally

(key_1, unspecified_value): 10 / sec
(key_1, unspecified_value2): 10 / sec
(key_1, value_1): 20 / sec

domain: example8
descriptors:
  - key: key1
    detailed_metric: true
    rate_limit:
      unit: minute
      requests_per_unit: 10
  - key: key1
    value: value1
    rate_limit:
      unit: minute
      requests_per_unit: 20

The metrics keys will be the following:

“key1_unspecified_value” “key1_unspecified_value2” “key1_value1”

rather than the normal “key1” “key1_value1”

Example 9

Value supports wildcard matching using *, which can appear at any position — trailing, middle, or multiple times. Each * matches zero or more characters.

Trailing wildcard — matches any value starting with the given prefix:

domain: example9
descriptors:
  - key: key1
    value: value*
    rate_limit:
      unit: minute
      requests_per_unit: 20

Matches value1, value2, valueXYZ, etc.

Middle wildcard — matches values with a fixed prefix and suffix:

domain: example9
descriptors:
  - key: path
    value: /api/*/action
    rate_limit:
      unit: minute
      requests_per_unit: 20

Matches /api/123/action, /api/user-id/action. Does not match /api/123/other.

Multiple wildcards — each * matches an independent segment, in order:

domain: example9
descriptors:
  - key: route
    value: /api/*/resource/*/action
    rate_limit:
      unit: minute
      requests_per_unit: 20

Matches /api/v1/resource/123/action, /api/v2/resource/456/action.

Example 10

Using value_to_metric: true to include descriptor values in metrics when values are not explicitly defined in the configuration:

domain: example10
descriptors:
  - key: route
    value_to_metric: true
    descriptors:
      - key: http_method
        value_to_metric: true
        descriptors:
          - key: subject_id
            rate_limit:
              unit: minute
              requests_per_unit: 60

With this configuration, requests with different runtime values for route and http_method will generate separate metrics:

Request: route=api, http_method=GET, subject_id=123
Metric key: example10.route_api.http_method_GET.subject_id
Request: route=web, http_method=POST, subject_id=456
Metric key: example10.route_web.http_method_POST.subject_id

Without value_to_metric: true, both requests would use the same metric key: example10.route.http_method.subject_id.

When combined with wildcard matching, the full runtime value is included:

domain: example10_wildcard
descriptors:
  - key: user
    value_to_metric: true
    descriptors:
      - key: action
        value: read*
        value_to_metric: true
        descriptors:
          - key: resource
            rate_limit:
              unit: minute
              requests_per_unit: 100

Request: user=alice, action=readfile, resource=documents
Metric key: example10_wildcard.user_alice.action_readfile.resource

Note: When detailed_metric: true is set on a descriptor, it takes precedence and value_to_metric is ignored for that descriptor.

Example 11

Using share_threshold: true to share rate limits across wildcard matches:

domain: example11
descriptors:
  # With share_threshold: true, all files/* matches share the same threshold
  - key: files
    value: files/*
    share_threshold: true
    rate_limit:
      unit: hour
      requests_per_unit: 10

  # Without share_threshold, each files_no_share/* match has its own isolated threshold
  - key: files_no_share
    value: files_no_share/*
    share_threshold: false
    rate_limit:
      unit: hour
      requests_per_unit: 10

With this configuration:

Requests for files/a.pdf, files/b.csv, and files/c.txt all share the same threshold of 10 requests per hour
If 5 requests are made for files/a.pdf and 5 requests for files/b.csv, a request for files/c.txt will be rate limited (OVER_LIMIT) because the shared threshold of 10 has been reached
Requests for files_no_share/a.pdf and files_no_share/b.csv each have their own isolated threshold of 10 requests per hour
If 10 requests are made for files_no_share/a.pdf (exhausting its quota), requests for files_no_share/b.csv will still be allowed (up to 10 requests)

Combining share_threshold with value_to_metric:

domain: example11_metrics
descriptors:
  - key: route
    value: api/*
    share_threshold: true
    value_to_metric: true
    descriptors:
      - key: method
        rate_limit:
          unit: minute
          requests_per_unit: 60

Request: route=api/v1, method=GET
Metric key: example11_metrics.route_api.method_GET (includes the wildcard prefix api instead of the full value api/v1)

This reflects that all api/* routes share the same threshold, while still providing visibility into which API routes are being accessed.

Loading Configuration

Rate limit service supports following configuration loading methods. You can define which methods to use by configuring environment variable CONFIG_TYPE.

Config Loading Method	Value for Environment Variable `CONFIG_TYPE`
File Based Configuration Loading	`FILE` (Default)
xDS Server Based Configuration Loading	`GRPC_XDS_SOTW`

When the environment variable FORCE_START_WITHOUT_INITIAL_CONFIG set to false, the Rate limit service will wait for initial rate limit configuration before starting the server (gRPC, Rest server endpoints). When set to true the server will start even without initial configuration.

File Based Configuration Loading

The Ratelimit service uses a library written by Lyft called goruntime to do configuration loading. Goruntime monitors a designated path, and watches for symlink swaps to files in the directory tree to reload configuration files.

The path to watch can be configured via the settings package with the following environment variables:

RUNTIME_ROOT default:"/srv/runtime_data/current"
RUNTIME_SUBDIRECTORY
RUNTIME_APPDIRECTORY default:"config"
RUNTIME_IGNOREDOTFILES default:"false"

Configuration files are loaded from RUNTIME_ROOT/RUNTIME_SUBDIRECTORY/RUNTIME_APPDIRECTORY/*.yaml

There are two methods for triggering a configuration reload:

Symlink RUNTIME_ROOT to a different directory.
Update the contents inside RUNTIME_ROOT/RUNTIME_SUBDIRECTORY/RUNTIME_APPDIRECTORY/ directly.

The former is the default behavior. To use the latter method, set the RUNTIME_WATCH_ROOT environment variable to false.

The following filesystem operations on configuration files inside RUNTIME_ROOT/RUNTIME_SUBDIRECTORY/RUNTIME_APPDIRECTORY/ will force a reload of all config files:

Write
Create
Chmod
Remove

For more information on how runtime works you can read its README.

By default it is not possible to define multiple configuration files within RUNTIME_SUBDIRECTORY referencing the same domain. To enable this behavior set MERGE_DOMAIN_CONFIG to true.

xDS Management Server Based Configuration Loading

xDS Management Server is a gRPC server which implements the Aggregated Discovery Service (ADS). The xDS Management server serves Discovery Response with Ratelimit Configuration Resources and with Type URL "type.googleapis.com/ratelimit.config.ratelimit.v3.RateLimitConfig".

The xDS client in the Rate limit service configure Rate limit service with the provided configuration. In case of connection failures, the xDS Client retries the connection to the xDS server with exponential backoff and the backoff parameters are configurable.

XDS_CLIENT_BACKOFF_JITTER: set to "true" to add jitter to the exponential backoff.
XDS_CLIENT_BACKOFF_INITIAL_INTERVAL: The base amount of time the xDS client waits before retrying the connection after failure. Default: “10s”
XDS_CLIENT_BACKOFF_MAX_INTERVAL: The max backoff interval is the upper limit on the amount of time the xDS client will wait between retries. After reaching the max backoff interval, the next retries will continue using the max interval. Default: “60s”
XDS_CLIENT_BACKOFF_RANDOM_FACTOR: This is a factor by which the initial interval is multiplied to calculate the next backoff interval. Default: “0.5”

The followings are the gRPC connection options.

XDS_CLIENT_MAX_MSG_SIZE_IN_BYTES: The maximum message size in bytes that the xDS client can receive.

For more information on xDS protocol please refer to the envoy proxy documentation.

You can refer to the sample xDS configuration management server.

The xDS server for listening for configuration can be set via settings package with the following environment variables:

CONFIG_GRPC_XDS_NODE_ID default:"default"
CONFIG_GRPC_XDS_SERVER_URL default:"localhost:18000"
CONFIG_GRPC_XDS_SERVER_CONNECT_RETRY_INTERVAL default:"3s"

As well Ratelimit supports TLS connections, these can be configured using the following environment variables:

CONFIG_GRPC_XDS_SERVER_USE_TLS: set to "true" to enable a TLS connection with the xDS configuration management server.
CONFIG_GRPC_XDS_CLIENT_TLS_CERT, CONFIG_GRPC_XDS_CLIENT_TLS_KEY, and CONFIG_GRPC_XDS_SERVER_TLS_CACERT to provides files to specify a TLS connection configuration to the xDS configuration management server.
CONFIG_GRPC_XDS_SERVER_TLS_SAN: (Optional) Override the SAN value to validate from the server certificate.

When using xDS you can configure extra headers that will be added to GRPC requests to the xDS Management server. Extra headers can be useful for providing additional authorization information. This can be configured using the following environment variable:

CONFIG_GRPC_XDS_CLIENT_ADDITIONAL_HEADERS - set to "<k1:v1>,<k2:v2>" to add multiple headers to GRPC requests.

Log Format

A centralized log collection system works better with logs in json format. JSON format avoids the need for custom parsing rules. The Ratelimit service produces logs in a text format by default. For Example:

time="2020-09-10T17:22:35Z" level=debug msg="loading domain: messaging"
time="2020-09-10T17:22:35Z" level=debug msg="loading descriptor: key=messaging.message_type_marketing"
time="2020-09-10T17:22:35Z" level=debug msg="loading descriptor: key=messaging.message_type_marketing.to_number ratelimit={requests_per_unit=5, unit=DAY}"
time="2020-09-10T17:22:35Z" level=debug msg="loading descriptor: key=messaging.to_number ratelimit={requests_per_unit=100, unit=DAY}"
time="2020-09-10T17:21:55Z" level=warning msg="Listening for debug on ':6070'"
time="2020-09-10T17:21:55Z" level=warning msg="Listening for HTTP on ':8080'"
time="2020-09-10T17:21:55Z" level=debug msg="waiting for runtime update"
time="2020-09-10T17:21:55Z" level=warning msg="Listening for gRPC on ':8081'"

JSON Log format can be configured using the following environment variables:

LOG_FORMAT=json

Output example:

{"@message":"loading domain: messaging","@timestamp":"2020-09-10T17:22:44.926010192Z","level":"debug"}
{"@message":"loading descriptor: key=messaging.message_type_marketing","@timestamp":"2020-09-10T17:22:44.926019315Z","level":"debug"}
{"@message":"loading descriptor: key=messaging.message_type_marketing.to_number ratelimit={requests_per_unit=5, unit=DAY}","@timestamp":"2020-09-10T17:22:44.926037174Z","level":"debug"}
{"@message":"loading descriptor: key=messaging.to_number ratelimit={requests_per_unit=100, unit=DAY}","@timestamp":"2020-09-10T17:22:44.926048993Z","level":"debug"}
{"@message":"Listening for debug on ':6070'","@timestamp":"2020-09-10T17:22:44.926113905Z","level":"warning"}
{"@message":"Listening for gRPC on ':8081'","@timestamp":"2020-09-10T17:22:44.926182006Z","level":"warning"}
{"@message":"Listening for HTTP on ':8080'","@timestamp":"2020-09-10T17:22:44.926227031Z","level":"warning"}
{"@message":"waiting for runtime update","@timestamp":"2020-09-10T17:22:44.926267808Z","level":"debug"}

GRPC Keepalive

Client-side GRPC DNS re-resolution in scenarios with auto scaling enabled might not work as expected and the current workaround is to configure connection keepalive on server-side. The behavior can be fixed by configuring the following env variables for the ratelimit server:

GRPC_MAX_CONNECTION_AGE: a duration for the maximum amount of time a connection may exist before it will be closed by sending a GoAway. A random jitter of +/-10% will be added to MaxConnectionAge to spread out connection storms.
GRPC_MAX_CONNECTION_AGE_GRACE: an additive period after MaxConnectionAge after which the connection will be forcibly closed.

Health-check

Health check status is determined internally by individual components. Currently, we have three components that determine the overall health status of the rate limit service. Each of the individual component’s health needs to be healthy for the overall to report healthy. Some components may be turned OFF via configurations so overall health is not effected by that component’s health status.

Redis health (Turned ON. Defaults to healthy)
Configuration status (Turned OFF unless configured to be ON via HEALTHY_WITH_AT_LEAST_ONE_CONFIG_LOADED see below section. Defaults to unhealthy)
- If the environment variable is enabled then, it will start in an unhealthy state and become healthy when at least one config is loaded. If we later fail to load any configs, it will go unhealthy again.
Sigterm (Turned ON. Defaults to healthy)
- Turns unhealthy if receives sigterm signal All components needs to be healthy for overall health to be healthy.

Health-check configurations

Health check can be configured to check if rate-limit configurations are loaded using the following environment variable.

HEALTHY_WITH_AT_LEAST_ONE_CONFIG_LOADED default:"false"`

If HEALTHY_WITH_AT_LEAST_ONE_CONFIG_LOADED is enabled then health check will start as unhealthy and becomes healthy if it detects at least one domain is loaded with the config. If it detects no config again then it will change to unhealthy.

GRPC server

By default the ratelimit gRPC server binds to 0.0.0.0:8081. To change this set GRPC_HOST and/or GRPC_PORT. If you want to run the server on a unix domain socket then set GRPC_UDS, e.g. GRPC_UDS=/<dir>/ratelimit.sock and leave GRPC_HOST and GRPC_PORT unmodified.

Request Fields

For information on the fields of a Ratelimit gRPC request please read the information on the RateLimitRequest message type in the Ratelimit proto file.

GRPC Client

The gRPC client will interact with ratelimit server and tell you if the requests are over limit.

Commandline flags

-dial_string: used to specify the address of ratelimit server. It defaults to localhost:8081.
-domain: used to specify the domain.
-descriptors: used to specify one descriptor. You can pass multiple descriptors like following:

go run main.go -domain test \
-descriptors name=foo,age=14 -descriptors name=bar,age=18

Global ShadowMode

There is a global shadow-mode which can make it easier to introduce rate limiting into an existing service landscape. It will override whatever result is returned by the regular rate limiting process.

Configuration

The global shadow mode is configured with an environment variable

Setting environment variable SHADOW_MODE to true will enable the feature.

Statistics

There is an additional service-level statistics generated that will increment whenever the global shadow mode has overridden a rate limiting result.

Statistics

The rate limit service generates various statistics for each configured rate limit rule that will be useful for end users both for visibility and for setting alarms. Ratelimit uses gostats as its statistics library. Please refer to gostats’ documentation for more information on the library.

Statistics default to using StatsD and configured via the env vars from gostats.

To output statistics to stdout instead, set env var USE_STATSD to false

Configure statistics output frequency with STATS_FLUSH_INTERVAL, where the type is time.Duration, e.g. 10s is the default value.

To disable statistics entirely, set env var DISABLE_STATS to true

Rate Limit Statistic Path:

ratelimit.service.rate_limit.DOMAIN.KEY_VALUE.STAT

DOMAIN:

As specified in the domain value in the YAML runtime file

KEY_VALUE:

A combination of the key value
Nested descriptors would be suffixed in the stats path

The default mode is that the value-part is omitted if the rule that matches is a descriptor without a value. Specifying the detailed_metric configuration parameter changes this behavior and creates a unique metric even in this situation.

STAT:

near_limit: Number of rule hits over the NearLimit ratio threshold (currently 80%) but under the threshold rate.
over_limit: Number of rule hits exceeding the threshold rate
total_hits: Number of rule hits in total
shadow_mode: Number of rule hits where shadow_mode would trigger and override the over_limit result

To use a custom near_limit ratio threshold, you can specify with NEAR_LIMIT_RATIO environment variable. It defaults to 0.8 (0-1 scale). These are examples of generated stats for some configured rate limit rules from the above examples:

ratelimit.service.rate_limit.mongo_cps.database_default.over_limit: 0
ratelimit.service.rate_limit.mongo_cps.database_default.total_hits: 2846
ratelimit.service.rate_limit.mongo_cps.database_users.over_limit: 0
ratelimit.service.rate_limit.mongo_cps.database_users.total_hits: 2939
ratelimit.service.rate_limit.messaging.message_type_marketing.to_number.over_limit: 0
ratelimit.service.rate_limit.messaging.message_type_marketing.to_number.total_hits: 0
ratelimit.service.rate_limit.messaging.auth-service.over_limit.total_hits: 1
ratelimit.service.rate_limit.messaging.auth-service.over_limit.over_limit: 1
ratelimit.service.rate_limit.messaging.auth-service.over_limit.shadow_mode: 1

Statistics options

EXTRA_TAGS: set to "<k1:v1>,<k2:v2>" to tag all emitted stats with the provided tags. You might want to tag build commit or release version, for example.

DogStatsD

To enable dogstatsd integration set:

USE_DOG_STATSD: true to use DogStatsD

dogstatsd also enables so called mogrifiers which can convert from traditional stats tags into a combination of stat name and tags.

To enable mogrifiers, set a comma-separated list of them in DOG_STATSD_MOGRIFIERS.

e.g. USE_DOG_STATSD_MOGRIFIERS: FOO,BAR

For each mogrifier, define variables that declare the mogrification

DOG_STATSD_MOGRIFIERS_%s_PATTERN: The regex pattern to match on
DOG_STATSD_MOGRIFIERS_%s_NAME: The name of the metric to emit. Can contain variables.
DOG_STATSD_MOGRIFIERS_%s_TAGS: Comma-separated list of tags to emit. Can contain variables.

Variables within mogrifiers are strings such as $1, $2, $3 which can be used to reference a match group from the regex pattern.

Example

In the example below we will set mogrifier DOMAIN to adjust some.original.metric.TAG to some.original.metric with tag domain:TAG

First enable a single mogrifier:

USE_DOG_STATSD_MOGRIFIERS: DOMAIN

Then, declare the rules for the DOMAIN modifier:

DOG_STATSD_MOGRIFIER_DOMAIN_PATTERN: ^some\.original\.metric\.(.*)$
DOG_STATSD_MOGRIFIER_DOMAIN_NAME: some.original.metric
DOG_STATSD_MOGRIFIER_DOMAIN_TAGS: domain:$1

Continued example:

Let’s also set another mogrifier which outputs the hits metrics with a domain and descriptor tag

First, enable an extra mogrifier:

USE_DOG_STATSD_MOGRIFIERS: DOMAIN,HITS

Then, declare additional rules for the DESCRIPTOR mogrifier

DOG_STATSD_MOGRIFIER_HITS_PATTERN: ^ratelimit\.service\.rate_limit\.([^.]+)\.(.*)\.([^.]+)$
DOG_STATSD_MOGRIFIER_HITS_NAME: ratelimit.service.rate_limit.$3
DOG_STATSD_MOGRIFIER_HITS_TAGS: domain:$1,descriptor:$2

Prometheus

To enable Prometheus integration set:

USE_PROMETHEUS: true to use Prometheus
PROMETHEUS_ADDR: The port to listen on for Prometheus metrics. Defaults to :9090
PROMETHEUS_PATH: The path to listen on for Prometheus metrics. Defaults to /metrics
PROMETHEUS_MAPPER_YAML: The path to the YAML file that defines the mapping from statsd to prometheus metrics.

Define the mapping from statsd to prometheus metrics in a YAML file. Find more information about the mapping in the Metric Mapping and Configuration. The default setting is:

mappings: # Requires statsd exporter >= v0.6.0 since it uses the "drop" action.
  - match: "ratelimit.service.rate_limit.*.*.near_limit"
    name: "ratelimit_service_rate_limit_near_limit"
    timer_type: "histogram"
    labels:
      domain: "$1"
      key1: "$2"
  - match: "ratelimit.service.rate_limit.*.*.over_limit"
    name: "ratelimit_service_rate_limit_over_limit"
    timer_type: "histogram"
    labels:
      domain: "$1"
      key1: "$2"
  - match: "ratelimit.service.rate_limit.*.*.total_hits"
    name: "ratelimit_service_rate_limit_total_hits"
    timer_type: "histogram"
    labels:
      domain: "$1"
      key1: "$2"
  - match: "ratelimit.service.rate_limit.*.*.within_limit"
    name: "ratelimit_service_rate_limit_within_limit"
    timer_type: "histogram"
    labels:
      domain: "$1"
      key1: "$2"

  - match: "ratelimit.service.rate_limit.*.*.*.near_limit"
    name: "ratelimit_service_rate_limit_near_limit"
    timer_type: "histogram"
    labels:
      domain: "$1"
      key1: "$2"
      key2: "$3"
  - match: "ratelimit.service.rate_limit.*.*.*.over_limit"
    name: "ratelimit_service_rate_limit_over_limit"
    timer_type: "histogram"
    labels:
      domain: "$1"
      key1: "$2"
      key2: "$3"
  - match: "ratelimit.service.rate_limit.*.*.*.total_hits"
    name: "ratelimit_service_rate_limit_total_hits"
    timer_type: "histogram"
    labels:
      domain: "$1"
      key1: "$2"
      key2: "$3"
  - match: "ratelimit.service.rate_limit.*.*.*.within_limit"
    name: "ratelimit_service_rate_limit_within_limit"
    timer_type: "histogram"
    labels:
      domain: "$1"
      key1: "$2"
      key2: "$3"

  - match: "ratelimit.service.call.should_rate_limit.*"
    name: "ratelimit_service_should_rate_limit_error"
    match_metric_type: counter
    labels:
      err_type: "$1"

  - match: "ratelimit_server.*.total_requests"
    name: "ratelimit_service_total_requests"
    match_metric_type: counter
    labels:
      grpc_method: "$1"

  - match: "ratelimit_server.*.response_time"
    name: "ratelimit_service_response_time_seconds"
    timer_type: histogram
    labels:
      grpc_method: "$1"

  - match: "ratelimit.service.config_load_success"
    name: "ratelimit_service_config_load_success"
    match_metric_type: counter
  - match: "ratelimit.service.config_load_error"
    name: "ratelimit_service_config_load_error"
    match_metric_type: counter

  - match: "ratelimit.service.rate_limit.*.*.*.shadow_mode"
    name: "ratelimit_service_rate_limit_shadow_mode"
    timer_type: "histogram"
    labels:
      domain: "$1"
      key1: "$2"
      key2: "$3"

HTTP Port

The ratelimit service listens to HTTP 1.1 (by default on port 8080) with two endpoints:

/healthcheck → return a 200 if this service is healthy
/json → HTTP 1.1 endpoint for interacting with ratelimit service

/json endpoint

Takes an HTTP POST with a JSON body of the form e.g.

{
  "domain": "dummy",
  "descriptors": [
    { "entries": [{ "key": "one_per_day", "value": "something" }] }
  ]
}

The service will return an http 200 if this request is allowed (if no ratelimits exceeded) or 429 if one or more ratelimits were exceeded.

The response is a RateLimitResponse encoded with proto3-to-json mapping:

{
  "overallCode": "OVER_LIMIT",
  "statuses": [
    {
      "code": "OVER_LIMIT",
      "currentLimit": {
        "requestsPerUnit": 1,
        "unit": "MINUTE"
      }
    },
    {
      "code": "OK",
      "currentLimit": {
        "requestsPerUnit": 2,
        "unit": "MINUTE"
      },
      "limitRemaining": 1
    }
  ]
}

Debug Port

The debug port can be used to interact with the running process.

$ curl 0:6070/
/debug/pprof/: root of various pprof endpoints. hit for help.
/rlconfig: print out the currently loaded configuration for debugging
/stats: print out stats

You can specify the debug server address with the DEBUG_HOST and DEBUG_PORT environment variables. They currently default to 0.0.0.0 and 6070 respectively.

Local Cache

Ratelimit optionally uses freecache as its local caching layer, which stores the over-the-limit cache keys, and thus avoids reading the redis cache again for the already over-the-limit keys. The local cache size can be configured via LocalCacheSizeInBytes in the settings. If LocalCacheSizeInBytes is 0, local cache is disabled.

Redis

Ratelimit uses Redis as its caching layer. Ratelimit supports two operation modes:

One Redis server for all limits.
Two Redis instances: one for per second limits and another one for all other limits.

As well Ratelimit supports TLS connections and authentication. These can be configured using the following environment variables:

REDIS_TLS & REDIS_PERSECOND_TLS: set to "true" to enable a TLS connection for the specific connection type.
REDIS_TLS_CLIENT_CERT, REDIS_TLS_CLIENT_KEY, and REDIS_TLS_CACERT to provides files to specify a TLS connection configuration to Redis server that requires client certificate verification. (This is effective when REDIS_TLS or REDIS_PERSECOND_TLS is set to to "true").
REDIS_TLS_SKIP_HOSTNAME_VERIFICATION set to "true" will skip hostname verification in environments where the certificate has an invalid hostname, such as GCP Memorystore.
REDIS_AUTH & REDIS_PERSECOND_AUTH: set to "password" to enable password-only authentication to the Redis master/replica nodes.
REDIS_AUTH & REDIS_PERSECOND_AUTH: set to "username:password" to enable username-password authentication to the Redis master/replica nodes.
REDIS_SENTINEL_AUTH & REDIS_PERSECOND_SENTINEL_AUTH: set to "password" or "username:password" to enable authentication to Redis Sentinel nodes. This is separate from REDIS_AUTH/REDIS_PERSECOND_AUTH which authenticate to the Redis master/replica nodes. Only used when REDIS_TYPE or REDIS_PERSECOND_TYPE is set to "sentinel". If not set, no authentication will be attempted when connecting to Sentinel nodes.
CACHE_KEY_PREFIX: a string to prepend to all cache keys

For controlling the behavior of cache key incrementation when any of them is already over the limit, you can use the following configuration:

STOP_CACHE_KEY_INCREMENT_WHEN_OVERLIMIT: Set this configuration to true to disallow key incrementation when one of the keys is already over the limit.

STOP_CACHE_KEY_INCREMENT_WHEN_OVERLIMIT is useful when multiple descriptors are included in a single request. Setting this to true can prevent the incrementation of other descriptors’ counters if any of the descriptors is already over the limit.

Redis type

Ratelimit supports different types of redis deployments:

Single instance (default): Talk to a single instance of redis, or a redis proxy (e.g. https://www.envoyproxy.io/docs/envoy/latest/intro/arch_overview/other_protocols/redis)
Sentinel: Talk to a redis deployment with sentinel instances (see https://redis.io/topics/sentinel)
Cluster: Talk to a redis in cluster mode (see https://redis.io/topics/cluster-spec)

The deployment type can be specified with the REDIS_TYPE / REDIS_PERSECOND_TYPE environment variables. Depending on the type defined, the REDIS_URL and REDIS_PERSECOND_URL are expected to have the following formats:

“single”: Depending on the socket type defined, either a single hostname:port pair or a unix domain socket reference.
“sentinel”: A comma separated list with the first string as the master name of the sentinel cluster followed by hostname:port pairs. The list size should be >= 2. The first item is the name of the master and the rest are the sentinels.
“cluster”: A comma separated list of hostname:port pairs with all the nodes in the cluster.

Connection Pool Settings

Pool Size

REDIS_POOL_SIZE: the number of connections to keep in the pool. Default: 10
REDIS_PERSECOND_POOL_SIZE: pool size for per-second Redis. Default: 10

Connection Timeout

Controls the maximum duration for Redis connection establishment, read operations, and write operations.

REDIS_TIMEOUT: sets the timeout for Redis connection and I/O operations. Default: 10s
REDIS_PERSECOND_TIMEOUT: sets the timeout for per-second Redis connection and I/O operations. Default: 10s

Pool On-Empty Behavior

Controls what happens when all connections in the pool are in use and a new request arrives.

REDIS_POOL_ON_EMPTY_BEHAVIOR: controls what happens when the pool is empty. Default: CREATE
- CREATE: create a new overflow connection after waiting for REDIS_POOL_ON_EMPTY_WAIT_DURATION. This is the default radix behavior.
- ERROR: return an error after waiting for REDIS_POOL_ON_EMPTY_WAIT_DURATION. This enforces a strict pool size limit.
- WAIT: block until a connection becomes available. This enforces a strict pool size limit but may cause goroutine buildup.
REDIS_POOL_ON_EMPTY_WAIT_DURATION: the duration to wait before taking the configured action (CREATE or ERROR). Default: 1s
REDIS_PERSECOND_POOL_ON_EMPTY_BEHAVIOR: same as above for per-second Redis pool. Default: CREATE
REDIS_PERSECOND_POOL_ON_EMPTY_WAIT_DURATION: same as above for per-second Redis pool. Default: 1s

Pipelining

By default, for each request, ratelimit will pick up a connection from pool, write multiple redis commands in a single write then reads their responses in a single read. This reduces network delay.

For high throughput scenarios, ratelimit supports write buffering via radix v4’s WriteFlushInterval. It can be configured using the following environment variables:

REDIS_PIPELINE_WINDOW & REDIS_PERSECOND_PIPELINE_WINDOW: controls how often buffered writes are flushed to the network connection. When set to a non-zero value (e.g., 150us-500us), radix v4 will buffer multiple concurrent write operations and flush them together, reducing system calls and improving throughput. If zero, each write is flushed immediately. Required for Redis Cluster mode.
REDIS_PIPELINE_LIMIT & REDIS_PERSECOND_PIPELINE_LIMIT: DEPRECATED - These settings have no effect in radix v4. Write buffering is controlled solely by the window settings above.

Write buffering is disabled by default (window = 0). For optimal performance, set REDIS_PIPELINE_WINDOW to 150us-500us depending on your latency requirements and load patterns.

One Redis Instance

To configure one Redis instance use the following environment variables:

REDIS_SOCKET_TYPE
REDIS_URL
REDIS_POOL_SIZE
REDIS_TYPE (optional)

This setup will use the same Redis server for all limits.

Two Redis Instances

To configure two Redis instances use the following environment variables:

REDIS_SOCKET_TYPE
REDIS_URL
REDIS_POOL_SIZE
REDIS_PERSECOND: set this to "true".
REDIS_PERSECOND_SOCKET_TYPE
REDIS_PERSECOND_URL
REDIS_PERSECOND_POOL_SIZE
REDIS_PERSECOND_TYPE (optional)

This setup will use the Redis server configured with the _PERSECOND_ vars for per second limits, and the other Redis server for all other limits.

Health Checking for Redis Active Connection

To configure whether to return health check failure if there is no active redis connection

REDIS_HEALTH_CHECK_ACTIVE_CONNECTION : (default is “false”)

Memcache

Experimental Memcache support has been added as an alternative to Redis in v1.5.

To configure a Memcache instance use the following environment variables instead of the Redis variables:

MEMCACHE_HOST_PORT=: a comma separated list of hostname:port pairs for memcache nodes (mutually exclusive with MEMCACHE_SRV)
MEMCACHE_SRV=: an SRV record to lookup hosts from (mutually exclusive with MEMCACHE_HOST_PORT)
MEMCACHE_SRV_REFRESH=0: refresh the list of hosts every n seconds, if 0 no refreshing will happen, supports duration suffixes: “ns”, “us” (or “µs”), “ms”, “s”, “m”, “h”.
BACKEND_TYPE=memcache
CACHE_KEY_PREFIX: a string to prepend to all cache keys
MEMCACHE_MAX_IDLE_CONNS=2: the maximum number of idle TCP connections per memcache node, 2 is the default of the underlying library
MEMCACHE_TLS: set to "true" to connect to the server with TLS.
MEMCACHE_TLS_CLIENT_CERT, MEMCACHE_TLS_CLIENT_KEY, and MEMCACHE_TLS_CACERT to provide files that parameterize the memcache client TLS connection configuration.
MEMCACHE_TLS_SKIP_HOSTNAME_VERIFICATION set to "true" will skip hostname verification in environments where the certificate has an invalid hostname.

With memcache mode increments will happen asynchronously, so it’s technically possible for a client to exceed quota briefly if multiple requests happen at exactly the same time.

Note that Memcache has a max key length of 250 characters, so operations referencing very long descriptors will fail. Descriptors sent to Memcache should not contain whitespaces or control characters.

When using multiple memcache nodes in MEMCACHE_HOST_PORT=, one should provide the identical list of memcache nodes to all ratelimiter instances to ensure that a particular cache key is always hashed to the same memcache node.

Custom headers

Ratelimit service can be configured to return custom headers with the ratelimit information. It will populate the response_headers_to_add as part of the RateLimitResponse.

The following environment variables control the custom response feature:

LIMIT_RESPONSE_HEADERS_ENABLED - Enables the custom response headers
LIMIT_LIMIT_HEADER - The default value is “RateLimit-Limit”, setting the environment variable will specify an alternative header name
LIMIT_REMAINING_HEADER - The default value is “RateLimit-Remaining”, setting the environment variable will specify an alternative header name
LIMIT_RESET_HEADER - The default value is “RateLimit-Reset”, setting the environment variable will specify an alternative header name

Tracing

Ratelimit service supports exporting spans in OLTP format. See OpenTelemetry for more information.

The following environment variables control the tracing feature:

TRACING_ENABLED - Enables the tracing feature. Only “true” and “false”(default) are allowed in this field.
TRACING_EXPORTER_PROTOCOL - Controls the protocol of exporter in tracing feature. Only “http”(default) and “grpc” are allowed in this field.
TRACING_SERVICE_NAME - Controls the service name appears in tracing span. The default value is “RateLimit”.
TRACING_SERVICE_NAMESPACE - Controls the service namespace appears in tracing span. The default value is empty.
TRACING_SERVICE_INSTANCE_ID - Controls the service instance id appears in tracing span. It is recommended to put the pod name or container name in this field. The default value is a randomly generated version 4 uuid if unspecified.
Other fields in OTLP Exporter Documentation. These section needs to be correctly configured in order to enable the exporter to export span to the correct destination.
TRACING_SAMPLING_RATE - Controls the sampling rate, defaults to 1 which means always sample. Valid range: 0.0-1.0. For high volume services, adjusting the sampling rate is recommended.

You may use the following commands to quickly setup a openTelemetry collector together with a Jaeger all-in-one binary for quickstart:

docker run --name otlp -d -p 4318 -p 4317 -v examples/otlp-collector:/tmp/otlp-collector otel/opentelemetry-collector:0.48.0 -- --config /tmp/otlp-collector/config.yaml
otelcol-contrib --config examples/otlp-collector/config.yaml

docker run -d --name jaeger -p 16686:16686 -p 14250:14250 jaegertracing/all-in-one:1.33

TLS

Ratelimit supports TLS for it’s gRPC endpoint.

The following environment variables control the TLS feature:

GRPC_SERVER_USE_TLS - Enables gRPC connections to server over TLS
GRPC_SERVER_TLS_CERT - Path to the file containing the server cert chain
GRPC_SERVER_TLS_KEY - Path to the file containing the server private key

Ratelimit uses goruntime to watch the TLS certificate and key and will hot reload them on changes.

mTLS

Ratelimit supports mTLS when Envoy sends requests to the service.

TLS must be enabled on the gRPC endpoint in order for mTLS to work see TLS.

The following variables can be set to enable mTLS on the Ratelimit service.

GRPC_CLIENT_TLS_CACERT - Path to the file containing the client CA certificate.
GRPC_CLIENT_TLS_SAN - (Optional) DNS Name to validate from the client cert during mTLS auth

In the envoy config use, add the transport_socket section to the ratelimit service cluster config

"name": "ratelimit"
"transport_socket":
  "name": "envoy.transport_sockets.tls"
  "typed_config":
    "@type": "type.googleapis.com/envoy.extensions.transport_sockets.tls.v3.UpstreamTlsContext"
    "common_tls_context":
      "tls_certificates":
        - "certificate_chain":
            "filename": "/opt/envoy/tls/ratelimit-client-cert.pem"
          "private_key":
            "filename": "/opt/envoy/tls/ratelimit-client-key.pem"
      "validation_context":
        "match_subject_alt_names":
          - "exact": "ratelimit.server.dnsname"
        "trusted_ca":
          "filename": "/opt/envoy/tls/ratelimit-server-ca.pem"

Contact

envoy-announce: Low frequency mailing list where we will email announcements only.
envoy-users: General user discussion. Please add [ratelimit] to the email subject.
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Overview

Docker Image

Distroless Base Image

Benefits of Distroless:

Debugging with Distroless:

Supported Envoy APIs

API Deprecation History

Building and Testing

Docker-compose setup

Full test environment - Configure rate limits through files

Full test environment - Configure rate limits through an xDS Management Server

Self-contained end-to-end integration test

Configuration

The configuration format

Definitions

Descriptor list definition

Rate limit definition

Replaces

ShadowMode

Including detailed metrics for unspecified values

Including descriptor values in metrics

Sharing thresholds for wildcard matches

Examples

Example 1

Example 2

Example 3

Example 4

Example 5

Example 6

Example 7

Example 8

Example 9

Example 10

Example 11

Loading Configuration

File Based Configuration Loading

xDS Management Server Based Configuration Loading

Log Format

GRPC Keepalive

Health-check

Health-check configurations

GRPC server

Request Fields

GRPC Client

Commandline flags

Global ShadowMode

Configuration

Statistics

Statistics

Statistics options

DogStatsD

Example

Continued example:

Prometheus

HTTP Port

/json endpoint

Debug Port

Local Cache

Redis

Redis type

Connection Pool Settings

Pool Size

Connection Timeout

Pool On-Empty Behavior

Pipelining

One Redis Instance

Two Redis Instances

Health Checking for Redis Active Connection

Memcache

Custom headers

Tracing

TLS

mTLS

Contact