Throttling Service/Rate Limit
Nobody has claimed this yet.
- Dominant language
- Go
- Stars
- 11.5k
- Forks
- 1.4k
- Avg merge
- 3d 22h
- Merged PRs (30d)
- 53
Description
Feature Request
What problem are you trying to solve?
It's unrare that services are requested to be protected by throttling mechanism that could be defined by the following settings:
- Max amount of open connections (from all clients)
- Max amount of open connections by client (service name)
- Max amount of requests per time period (from all clients)
- Max amount of requests per time period by client (service name)
- Response code/message to override the default value (code: 429 message: the quota X was fulfilled)
Client Types:
- Service (identified by ServiceProfiles)
- User (identified by JWT/header)
How should the problem be solved?
The best option is to integrate this feature with Server-side policy.
Once the rate limit policy is defined, the proxy will enforce the policy's rules
Any alternatives you've considered?
Integration with an external service, similarly Envoy's implementation
How would users interact with this feature?
apiVersion: v1
kind: ServerSidePolicyRateLimit
metadata:
name: my-service
namespace: prod
spec:
rules:
- name: globalthreshold
type: global-open-connections
value: 5000
- name: requests-per-minute-service
type: requests-limit
period: 60s
value: 1000
type: service
selector: other-service
- name: requests-per-minute-user
type: requests-limit
period: 60s
value: 100
type: user
selector: JWT::appid
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are named. Start by locating Linkerd's existing server-side policy implementation and reviewing the Envoy rate-limit approach referenced in the issue. Define how the proposed YAML rules cover global and per-client quotas, service and JWT/header identities, and response overrides before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- go, kubernetes
- Domain
- backend-api-design, infrastructure, security
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100