Errors, Logs, and Audit Trails
What rule must hold even when someone bypasses the interface, repeats a request, or receives an external-service error? Capture enough structured context to investigate failures without storing secrets or unnecessary personal data.
What You Will Be Able to Decide
- Explain errors, logs, and audit trails in product and business terms.
- Apply this decision: Capture enough structured context to investigate failures without storing secrets or unnecessary personal data.
- Recognise this material risk: the team cannot explain a customer-impacting event or distinguish a bug from misuse.
- Use this review: Trace one support request from submission to stored status, including a duplicate click and a provider timeout.
A founder is reviewing how the product will enforce rules and respond when a request does not go to plan. This lesson gives you a concrete question to take into a build brief, proposal review, or product decision.
What rule must hold even when someone bypasses the interface, repeats a request, or receives an external-service error? The course example is A service that lets customers submit and track support requests; use it to decide what evidence would justify the choice before a builder implements it.
What Does Errors, Logs, and Audit Trails Mean for Your Product?
A founder is reviewing how the product will enforce rules and respond when a request does not go to plan.
Use the illustrative service for this course (A service that lets customers submit and track support requests) to make the choice concrete. What rule must hold even when someone bypasses the interface, repeats a request, or receives an external-service error?
Technical term
Errors, Logs, and Audit Trails
Errors describe failed operations, logs record technical events, and audit trails preserve who performed important business actions and when.
How Should a Founder Use Errors, Logs, and Audit Trails?
For a service that lets customers submit and track support requests, ask what would happen if the team cannot explain a customer-impacting event or distinguish a bug from misuse.
For this decision, the useful standard is that important rules hold for valid, invalid, repeated, and unauthorised requests.
- Decision: Capture enough structured context to investigate failures without storing secrets or unnecessary personal data.
- Evidence to request: show that important rules hold for valid, invalid, repeated, and unauthorised requests.
- Owner: name who will respond if the team cannot explain a customer-impacting event or distinguish a bug from misuse.
- Record the result in the backend proposal and operational acceptance criteria.
- Practical review: Trace one support request from submission to stored status, including a duplicate click and a provider timeout.
How Do You Choose an Approach to Errors, Logs, and Audit Trails?
What rule must hold even when someone bypasses the interface, repeats a request, or receives an external-service error? Capture enough structured context to investigate failures without storing secrets or unnecessary personal data.
The risk is that the team cannot explain a customer-impacting event or distinguish a bug from misuse. Compare a simpler option with the proposed one, including who will operate either choice.
- Describe the user or business outcome that must be protected.
- Identify the most credible failure and its consequence.
- Compare the simplest adequate approach with one realistic alternative.
- Set a review point for when the decision may need to change.
What Evidence Should You Accept for Errors, Logs, and Audit Trails?
What Warning Signs Should You Look For?
- The proposal does not address this risk: the team cannot explain a customer-impacting event or distinguish a bug from misuse.
- Nobody can show whether important rules hold for valid, invalid, repeated, and unauthorised requests.
- The decision has no named owner or review point.
What Should You Ask a Consultant?
- What changes for the user if we choose this approach to errors, logs, and audit trails?
- How have we reduced or accepted this risk: the team cannot explain a customer-impacting event or distinguish a bug from misuse.
- Can you demonstrate that important rules hold for valid, invalid, repeated, and unauthorised requests?
- Who owns the result, and when will we reconsider it?
Key takeaway
Key Takeaway
Capture enough structured context to investigate failures without storing secrets or unnecessary personal data. Ask for evidence against the specific risk: the team cannot explain a customer-impacting event or distinguish a bug from misuse.