A team building a project tracker connects its API to Stripe so customers can buy more seats. The checkout demo works and the app shows the new seat limit. When Stripe delivers the same payment event twice a week later, someone on the team needs to check whether the app added the seats twice.
Write down how your team will operate the connection while the details are fresh. Explain what the app saves when a payment succeeds, how it handles repeat events, and where someone can check a failure before they try to recover it.
Follow one seat change all the way through
Call the hypothetical tracker Taskroom. When a customer changes their plan, Stripe sends an event to Taskroom's API. The API verifies the event, looks up the customer's team, and updates its seat limit in Postgres.
The page that opens after checkout can tell a customer what to expect, but the browser might close before it returns to Taskroom. If a network failure delays the event too, the app still needs a way to give the customer the access they paid for.
Stripe documents retries, duplicate events, and delivery without a guaranteed order. Taskroom must account for those cases when it processes events. See the Stripe webhook guide for the provider's delivery rules and signature checks.
Decide what you need to see before you call a seat update complete. For Taskroom, the app needs a lasting record of the event and the correct seat limit on the customer's team. If the handler returns a successful HTTP response before it saves the change, the customer could be left waiting for access.
Make a repeat safe
Suppose a customer goes from five seats to eight. If Taskroom adds three seats each time it handles the event, a repeat could raise the limit to eleven. Saving the intended limit prevents that increase, provided the app also keeps older events from overwriting newer changes.
The checks depend on the event and your billing rules. Taskroom might look up the customer's current plan with Stripe before applying the change and save the event ID to recognize a repeat delivery. Describe which check handles a repeat and which one keeps the customer's plan current.
The event record also has to agree with the seat limit. If the app marks the event complete and then crashes before saving the seats, a retry could skip the update. If the app saves the seats first, it must handle a repeat without granting a second benefit. When both records live in one database, a transaction can commit them together.
Write down the expected seat limit for each test, then deliver the event twice, send an older event after a newer one, and stop the handler before it finishes. After each run, look up the limit in the test database to see what the customer would receive.
Write a record the next engineer can use
Taskroom keeps a record of the seat update that points an engineer to the handler and explains how to inspect or retry a failed event. The team can keep a separate record for each connection it has with a vendor, since each one may need different recovery steps.
| Question | Taskroom's record should explain |
|---|---|
| What comes in? | Event type, account reference, and version |
| What proves it is trusted? | Signature check and secret storage location |
| What proves it finished? | Saved event state and team seat limit |
| What happens on a repeat? | How a second delivery avoids extra changes |
| What shows a problem? | Pending or failed work and who sees it |
| Who fixes it? | Main owner, backup owner, and support route |
| How is it retried? | Checks to make before a safe replay |
Name the place where the team stores the secret, and use invented payloads without personal data for the examples. Copying an actual event or secret into the record would give anyone who can read it a copy of production data or credentials.
Ask a teammate to follow the record without help from its author. They should be able to find the affected team, see whether the change happened, and explain the next safe step. If they have to guess, add the missing reason or check.
Plan for changes that look routine
Even when the seat feature stays the same, Taskroom may rotate its signing secret, move to a new domain, or update to an API version that changes an event field. When the person who receives alerts leaves, someone also needs to update the alert settings.
Record dates and owners in the team's normal work system and link to the connection record so a domain change prompts someone to check the webhook address. Label the test and live settings so the person making the change knows which app will receive the event.
Before rotating a secret, check whether the provider lets you use the old and new keys at the same time. Deploy the new setting and send a test event that verifies the running app uses it. Keep the secret values out of logs and remove the old key once the checks pass.
Also test the provider's failure path. Taskroom should know how it will spot a seat change that remains pending and how to contact Stripe if needed. An alert that says only “request failed” leaves the next engineer searching for the customer impact.
Decide where slow work belongs
An event handler might send mail, call another API, or create a report after it updates the database. If those steps take too long for one request, plan where the app will save the work and what will finish it after a failed attempt. A queue can hold the work if the team runs a worker that reliably processes it.
Check that plan against the host. Forte Services receive CPU while requests are in flight. They cannot reliably finish work after sending a response or run an always-on queue consumer between requests. Forte Actions are in beta and call a Service; the handler must finish its work within 120 seconds. Work that needs a persistent worker needs a separate plan.
If Taskroom records unfinished work in a database row marked “pending,” the team needs to choose what will find and process that row before it ships the connection.
Check which parts Forte helps you inspect
Forte connects a Service to a GitHub branch and shows build and deployment status with logs. That gives Taskroom a place to inspect the release that changed its handler. Follow the deployment guide for that setup.
Repeat the event checks in a test Service. Include Forte's request ID in the app's output so an engineer can match a failed request with its log lines. Then look up the seat limit in the database to confirm what access the customer received. Request ID monitoring guide
Taskroom's team still owns the signature checks, customer-to-team mapping, repeat handling, secret rotation, and recovery. If you'd like to discuss a connection with Forte, share an invented event and describe where it can fail. Keep keys, live payloads, and customer records private.