Monitoring and Observability
Can the team operate this service after launch with the people, access, budget, and recovery time it actually has? Monitor user-critical outcomes and alert a named responder with enough context to act.
What You Will Be Able to Decide
- Explain monitoring and observability in product and business terms.
- Apply this decision: Monitor user-critical outcomes and alert a named responder with enough context to act.
- Recognise this material risk: customers discover prolonged failures before the team knows where or why they occurred.
- Use this review: Ask a second operator to deploy the dashboard, find a failed request in logs, and roll back a deliberately broken release.
A founder has a working application and needs a proportionate way to run, monitor, and recover it. This lesson gives you a concrete question to take into a build brief, proposal review, or product decision.
Can the team operate this service after launch with the people, access, budget, and recovery time it actually has? The course example is A small SaaS dashboard with a public marketing site; use it to decide what evidence would justify the choice before a builder implements it.
What Does Monitoring and Observability Mean for Your Product?
A founder has a working application and needs a proportionate way to run, monitor, and recover it.
Use the illustrative service for this course (A small SaaS dashboard with a public marketing site) to make the choice concrete. Can the team operate this service after launch with the people, access, budget, and recovery time it actually has?
Technical term
Monitoring and Observability
Monitoring watches known service signals, while observability provides enough logs, metrics, and traces to investigate unexpected behaviour.
How Should a Founder Use Monitoring and Observability?
For a small saas dashboard with a public marketing site, ask what would happen if customers discover prolonged failures before the team knows where or why they occurred.
For this decision, the useful standard is that the team knows where the product runs, who operates it, and how service is restored after failure.
- Decision: Monitor user-critical outcomes and alert a named responder with enough context to act.
- Evidence to request: show that the team knows where the product runs, who operates it, and how service is restored after failure.
- Owner: name who will respond if customers discover prolonged failures before the team knows where or why they occurred.
- Record the result in the deployment and operations plan.
- Practical review: Ask a second operator to deploy the dashboard, find a failed request in logs, and roll back a deliberately broken release.
How Do You Choose an Approach to Monitoring and Observability?
Can the team operate this service after launch with the people, access, budget, and recovery time it actually has? Monitor user-critical outcomes and alert a named responder with enough context to act.
The risk is that customers discover prolonged failures before the team knows where or why they occurred. 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 Monitoring and Observability?
What Warning Signs Should You Look For?
- The proposal does not address this risk: customers discover prolonged failures before the team knows where or why they occurred.
- Nobody can show whether the team knows where the product runs, who operates it, and how service is restored after failure.
- 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 monitoring and observability?
- How have we reduced or accepted this risk: customers discover prolonged failures before the team knows where or why they occurred.
- Can you demonstrate that the team knows where the product runs, who operates it, and how service is restored after failure?
- Who owns the result, and when will we reconsider it?
Key takeaway
Key Takeaway
Monitor user-critical outcomes and alert a named responder with enough context to act. Ask for evidence against the specific risk: customers discover prolonged failures before the team knows where or why they occurred.
