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Implement Enhanced Output Connector Framework for Advanced Alert Destinations #99

@unclesp1d3r

Description

@unclesp1d3r

Overview

This issue tracks the implementation of an enhanced Output Connector Framework for daemoneye-agent that will enable support for advanced alert destinations while maintaining OSS compatibility with commercial extensions.

Current State

DaemonEye currently has basic output capabilities through its Rust-based agent architecture. The existing system needs to be extended with a pluggable connector framework to support various alert destinations.

Problem Statement

  • Limited alert destination options in the current implementation
  • Need for a extensible framework that supports both OSS and commercial connectors
  • Requirement to maintain clean separation between open-source core and commercial extensions
  • Need for standardized interface for adding new output destinations

Proposed Solution

1. Core Framework Architecture

Implement a trait-based connector system in Rust:

pub trait OutputConnector: Send + Sync {
    fn name(&self) -> &'static str;
    fn initialize(&mut self, config: &ConnectorConfig) -> Result<(), ConnectorError>;
    fn send_alert(&self, alert: &Alert) -> Result<(), ConnectorError>;
    fn health_check(&self) -> Result<HealthStatus, ConnectorError>;
}

2. Connector Registry

  • Central registry for managing available connectors
  • Dynamic loading capability for commercial extensions
  • Configuration validation and management
  • Health monitoring and failover support

3. Built-in OSS Connectors

  • File Output: Write alerts to local files with rotation
  • Syslog: Standard syslog integration
  • HTTP Webhook: Generic HTTP POST notifications
  • SMTP Email: Basic email notifications

4. Commercial Extension Points

  • Enterprise Messaging: Slack, Microsoft Teams, Discord
  • ITSM Integration: ServiceNow, Jira Service Management
  • Security Platforms: SIEM, SOAR integration
  • Cloud Services: AWS SNS, Azure Service Bus, GCP Pub/Sub

5. Configuration Schema

outputs:
  enabled_connectors:
    - name: "webhook"
      type: "http_webhook"
      config:
        url: "https://api.example.com/alerts"
        headers:
          Authorization: "Bearer token"
    - name: "email"
      type: "smtp"
      config:
        smtp_host: "smtp.example.com"
        recipients: ["admin@example.com"]

Implementation Plan

Phase 1: Core Framework (OSS)

  • Define OutputConnector trait and supporting types
  • Implement ConnectorRegistry
  • Add configuration management
  • Create basic file and HTTP webhook connectors
  • Add comprehensive error handling and logging

Phase 2: Enhanced OSS Connectors

  • Implement Syslog connector
  • Add SMTP email connector
  • Create connector health monitoring
  • Add failover and retry mechanisms

Phase 3: Commercial Extensions

  • Design plugin loading mechanism
  • Implement enterprise messaging connectors
  • Add ITSM integration connectors
  • Create cloud service connectors

Phase 4: Integration & Testing

  • Integration testing with existing agent
  • Performance benchmarking
  • Documentation and examples
  • Migration guide for existing installations

Technical Requirements

  • Language: Rust (consistent with existing codebase)
  • Async Support: tokio-based for non-blocking operations
  • Configuration: YAML/TOML based configuration
  • Logging: Integration with existing logging framework
  • Testing: Comprehensive unit and integration tests
  • Documentation: API docs and usage examples

Success Criteria

  • Framework supports pluggable connectors via trait system
  • At least 3 OSS connectors implemented and tested
  • Clear separation between OSS core and commercial extensions
  • Configuration-driven connector management
  • Health monitoring and failover capabilities
  • Comprehensive documentation and examples
  • Performance impact < 5% on existing agent functionality

Dependencies

  • Existing daemoneye-agent architecture
  • Configuration management system
  • Logging framework
  • Alert/notification data structures

Risks & Mitigation

  • Performance Impact: Use async patterns and connection pooling
  • Configuration Complexity: Provide sensible defaults and validation
  • Plugin Security: Sandbox commercial extensions and validate inputs
  • Backward Compatibility: Maintain existing output mechanisms during transition

This enhanced framework will enable DaemonEye to compete with enterprise monitoring solutions while maintaining its open-source foundation.

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architectureSystem architecture and design decisionsasyncRelated to asynchronous programming and async/await patternscore-featureCore system functionalityenhancementNew feature or requestepicParent issue for larger effortshigh-priorityHigh priority issues requiring immediate attentionintegrationRelated to integration testing and component integration

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