Error Architecture for Enterprise Software
Budget: $25 – $50 USD
Key Responsibilities (discussion and brainstorming only)
1. Error Taxonomy & Classification: Design and standardize a tiered error taxonomy for System, and Service errors, aligned with Error Response and HTTP Status Codes.
- Define recoverable vs. non-recoverable errors across Core, Planner, and Agent services.
2. Error Propagation Framework: Implement a standardized ErrorResponse schema across multiple services.
- Ensure structured propagation of error metadata (errorCode, messageCode, parameters, ExceptionId, Retry-After) across services.
- Build resilient retry policies using exponential backoff + jitter for transient errors (408, 500–504, 429) and no-retry for non-recoverable cases (401, 403, 404, 422).
3. Intelligent Error Recovery
Develop data pipelines and dashboards to analyze error classification accuracy and user recovery rates.
4. Observability & Diagnostics
- Define logging and tracing standards for error traces in Splunk and APM.
5. Governance & Best Practices:
- Establish internal Error Handling Guidelines and test scenarios
- Champion fault isolation and graceful degradation patterns (bounded retries, circuit breakers, token bucket throttling).
Deep understanding of distributed systems, HTTP status codes, and API fault design
Hands-on experience with error handling frameworks and retry mechanisms
Strong knowledge SaaS architectures
Proven experience with APM, distributed tracing, or observability platforms
1. Error Taxonomy & Classification: Design and standardize a tiered error taxonomy for System, and Service errors, aligned with Error Response and HTTP Status Codes.
- Define recoverable vs. non-recoverable errors across Core, Planner, and Agent services.
2. Error Propagation Framework: Implement a standardized ErrorResponse schema across multiple services.
- Ensure structured propagation of error metadata (errorCode, messageCode, parameters, ExceptionId, Retry-After) across services.
- Build resilient retry policies using exponential backoff + jitter for transient errors (408, 500–504, 429) and no-retry for non-recoverable cases (401, 403, 404, 422).
3. Intelligent Error Recovery
Develop data pipelines and dashboards to analyze error classification accuracy and user recovery rates.
4. Observability & Diagnostics
- Define logging and tracing standards for error traces in Splunk and APM.
5. Governance & Best Practices:
- Establish internal Error Handling Guidelines and test scenarios
- Champion fault isolation and graceful degradation patterns (bounded retries, circuit breakers, token bucket throttling).
Deep understanding of distributed systems, HTTP status codes, and API fault design
Hands-on experience with error handling frameworks and retry mechanisms
Strong knowledge SaaS architectures
Proven experience with APM, distributed tracing, or observability platforms