Materialized views for metrics

[ralyodio]

📋 Product Requirements Document

PRD: Materialized views for metrics

Issue: #166
Milestone: Phase 6: Observability
Labels: metrics, hacktoberfest

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PRD: Materialized Views for Metrics

Overview

The introduction of materialized views for metrics in MeshHook aims to enhance observability and performance monitoring by aggregating and storing key workflow metrics in a more efficient and accessible manner. This initiative is part of Phase 6: Observability, underlining our commitment to providing high-level insight into workflow executions while maintaining system performance and reliability. By leveraging materialized views, MeshHook will offer real-time, actionable insights into workflow performance, error rates, and execution patterns, thus enabling users to optimize their workflows and system administrators to maintain system health effectively.

Functional Requirements

1. Materialized Views Development: Develop materialized views in the Postgres database to aggregate essential metrics like workflow execution times, success and failure rates, execution counts, and resource usage statistics.
2. Refresh Strategy: Implement an automatic and efficient refresh mechanism for the materialized views to keep the metrics up to date with minimal latency and without substantial performance impact.
3. Metrics Identification and Selection: Collaboratively work with stakeholders to identify and select the most valuable metrics to be included in the materialized views, ensuring they align with user needs and system performance goals.
4. Optimization and Indexing: Design the materialized views with optimized queries and proper indexing to facilitate fast and efficient data retrieval and aggregation, minimizing the performance impact on the live database.
5. Documentation and Knowledge Sharing: Provide comprehensive documentation on the design, implementation, selected metrics, and refresh strategy of the materialized views. This should include any assumptions or trade-offs made during the design process.

Non-Functional Requirements

• Performance: The materialized views should be optimized for quick reads, ensuring that the performance of transactional operations in the system is not adversely affected.
• Reliability: The system must accurately aggregate and refresh metrics data, providing dependable insights even in the face of errors or refresh interruptions.
• Security: Implement robust security measures to control access to the materialized views, ensuring that sensitive information is adequately protected in line with MeshHook's security protocols.

Technical Specifications

Architecture Context

MeshHook utilizes SvelteKit for its front-end operations and Supabase (Postgres) for backend data storage and processing. The implementation of materialized views will be within this existing Supabase Postgres infrastructure, leveraging its advanced features for real-time data updates and efficient data querying capabilities.

Implementation Approach

1. Analysis and Planning:

   • Conduct a thorough review of current metrics collection, storage, and reporting mechanisms to identify gaps and improvement opportunities.
   • Collaborate with stakeholders to identify key metrics that offer the most value for observability and monitoring.

2. Design:

   • Design the schema for the materialized views, focusing on the selected metrics.
   • Develop an optimized refresh strategy that balances currency of data with system performance.

3. Development:

   • Write and test SQL scripts to create the materialized views and associated indexes.
   • Develop or integrate a refresh mechanism for the materialized views, ensuring it operates efficiently and reliably.

4. Deployment and Monitoring:

   • Deploy the materialized views in a controlled environment to monitor their impact on system performance and data accuracy.
   • Adjust and optimize based on observations and stakeholder feedback.

Data Model Changes

Materialized Views Schema:

• mv_workflow_metrics:
  • Columns: workflow_id, execution_count, average_duration, success_rate, failure_rate, resource_consumption, last_updated.
  • Indexes: Primary Key on workflow_id, Index on last_updated.

API Endpoints

Adjustments to existing API endpoints may be necessary to incorporate the new materialized views for metrics retrieval. These changes will be documented and communicated accordingly.

Acceptance Criteria

• Materialized views for the identified key metrics are successfully implemented and integrated into the MeshHook system.
• The refresh mechanism for the materialized views is operational, ensuring data remains current with minimal performance impact.
• Performance improvements are observable in metrics retrieval operations compared to the pre-implementation state.
• Documentation on the materialized views' design, implementation, and operational guidelines is complete and available to relevant stakeholders.
• No significant performance degradation is observed in transactional operations as a result of introducing the materialized views.

Dependencies

• Access to the MeshHook Supabase Postgres instance for executing schema modifications.
• Collaboration with the MeshHook development team for identifying key metrics and integrating the materialized views into existing systems.

Implementation Notes

Development Guidelines

• Ensure all SQL scripts and related changes are thoroughly commented and adhere to MeshHook's code style and best practices.
• Prioritize backward compatibility, ensuring existing functionality related to metrics collection and reporting is not disrupted.

Testing Strategy

• Conduct comprehensive unit and integration testing to validate the functionality and performance of the materialized views.
• Implement load testing scenarios to evaluate the impact of the materialized views on the overall system performance, particularly focusing on transactional operation response times.

Security Considerations

• Implement strict access controls for the new materialized views, ensuring only authorized personnel and systems can access the metrics data.
• Ensure that the implementation of materialized views adheres to MeshHook's data protection policies, particularly regarding the handling of PII and sensitive information.

Monitoring and Observability

• Set up monitoring for the refresh operations of the materialized views to track their performance, frequency, and any arising issues.
• Utilize existing Supabase Realtime capabilities or integrate additional monitoring tools as necessary to observe the impact of the materialized views on system performance and reliability.

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This PRD was AI-generated using gpt-4-turbo-preview from GitHub issue #166
Generated: 2025-10-10

📎 Generated Documentation

• 📄 PRD Document: 166-materialized-views-for-metrics.md
• 🎨 PlantUML Diagram: 166-materialized-views-for-metrics.puml
• 🖼️ Diagram Image: 166-materialized-views-for-metrics.png

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This issue body was auto-generated from the PRD. Original issue content is preserved in the PRD document.
Last updated: 2025-10-10