opencommit/roadmap

Anti-spam Policy Engine #2

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opened 2026-04-11 21:54:26 +02:00 by mvdkleijn · 0 comments

mvdkleijn commented

2026-04-11 21:54:26 +02:00

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1. What

Implementation of a centralized, service-oriented security layer designed to detect, intercept, and mitigate automated spam, bot activity, and malicious request patterns at the platform edge.

2. Why

Platform Integrity: Prevents the degradation of the developer experience caused by comment spam, automated PR flooding, and repository clutter.
Resource Optimization: Reduces unnecessary compute and storage costs caused by processing malicious or junk data.
Trust & Safety: Maintains OpenCommit as a high-trust environment for legitimate open-source projects, which is critical for user retention and foundation credibility.

3. Boundaries (Scope)

In-Scope:
- Development of the core policy engine service.
- Integration with Traefik middleware to receive mirrored requests.
- Implementation of basic pattern-matching (e.g., rate limiting, regex-based content detection).
- Logging and alerting for detected spam events.
Out-of-Scope:
- Deep packet inspection of encrypted payloads (handled at the TLS termination layer).
- Manual user moderation tools (this is an automated technical solution).

4. Definition of Done

Note: these are "Success Milestones" rather than task-level checkboxes.

Detection Capability: The engine can successfully identify and flag known spam patterns (e.g., rapid-fire comment creation or repetitive bot signatures) in a test environment.
Seamless Integration: The policy engine must be able to interface with the Traefik middleware without introducing measurable latency to standard user requests.
Resiliency: The system must fail-open (i.e., if the engine is unavailable, legitimate traffic should still flow) to ensure platform availability.
Observability: A dashboard or log stream exists that allows Foundation admins to monitor "Blocked" vs. "Allowed" request volumes.
Scalability: The service can be deployed and scaled within our existing Kubernetes architecture.

## **1. What** Implementation of a centralized, service-oriented security layer designed to detect, intercept, and mitigate automated spam, bot activity, and malicious request patterns at the platform edge. ## **2. Why** * **Platform Integrity:** Prevents the degradation of the developer experience caused by comment spam, automated PR flooding, and repository clutter. * **Resource Optimization:** Reduces unnecessary compute and storage costs caused by processing malicious or junk data. * **Trust & Safety:** Maintains OpenCommit as a high-trust environment for legitimate open-source projects, which is critical for user retention and foundation credibility. ## **3. Boundaries (Scope)** * **In-Scope:** * Development of the core policy engine service. * Integration with Traefik middleware to receive mirrored requests. * Implementation of basic pattern-matching (e.g., rate limiting, regex-based content detection). * Logging and alerting for detected spam events. * **Out-of-Scope:** * Deep packet inspection of encrypted payloads (handled at the TLS termination layer). * Manual user moderation tools (this is an automated technical solution). ## **4. Definition of Done** *Note: these are "Success Milestones" rather than task-level checkboxes.* * [ ] **Detection Capability:** The engine can successfully identify and flag known spam patterns (e._g., rapid-fire comment creation or repetitive bot signatures_) in a test environment. * [ ] **Seamless Integration:** The policy engine must be able to interface with the Traefik middleware without introducing measurable latency to standard user requests. * [ ] **Resiliency:** The system must fail-open (i.e., if the engine is unavailable, legitimate traffic should still flow) to ensure platform availability. * [ ] **Observability:** A dashboard or log stream exists that allows Foundation admins to monitor "Blocked" vs. "Allowed" request volumes. * [ ] **Scalability:** The service can be deployed and scaled within our existing Kubernetes architecture.