All templates

Automated Back4app API Error Spike Alerts

Every hour, WebRun opens the Back4app dashboard, reads API request volume and error rate for each app, archives the detailed request log as a file in Google Drive, and posts a Slack alert naming the app and the error rate whenever it climbs meaningfully above the app's normal baseline.

Runs on WebRun · Strict Lockdown policy
Every hour WebRunorchestrates each step
1 Back4app check API request volume and error rate
2 Google Drive archive the request log
3 Slack alert Slack on an error spike
In short

How do I get alerted when my Back4app API error rate spikes?

Every hour, WebRun checks each Back4app app's API request volume and error rate, archives the detailed request log to Google Drive, and posts a Slack alert naming the app, the error rate, and the endpoint generating the most errors whenever it spikes above that app's normal baseline, so a backend problem gets caught fast.

  • An error spike gets caught within the hour, not from a user complaint
  • Every alert names the endpoint driving the errors, not just a percentage
  • Request logs are archived hourly for a searchable troubleshooting history

Built for mobile app developers · backend engineers · Back4app customers · small development teams

Step by step

What does WebRun do on every run?

The exact actions WebRun takes, in order - in plain language, so you can adjust anything.

  1. WebRun signs in and gets to work

    Opens www.back4app.com in a real browser with your saved login - no setup, no API keys.

  2. 1
    Back4app - check API request volume and error rate
    back4app.com
    WebRun in Back4app: check API request volume and error rate
    WebRun opens Back4app to check API request volume and error rate.
    • Open the Back4app dashboard and check API request volume and error rate for each app
    • Compare the current error rate against that app's normal baseline
    • Capture which endpoint or class is generating the most errors

    Done when Request volume and error rate are captured for every app this run.

  3. 2
    Google Drive - archive the request log
    drive.google.com
    WebRun in Google Drive: archive the request log
    WebRun opens Google Drive to archive the request log.
    • Save the detailed request and error log for each app as a file in the Back4app folder in Google Drive
    • Name the file with the app and the date
    • Keep a running archive rather than overwriting the prior log

    Done when This run's request logs are archived in Google Drive.

  4. 3
    Slack - alert Slack on an error spike
    slack.com
    WebRun in Slack: alert Slack on an error spike
    WebRun opens Slack to alert Slack on an error spike.
    • Post a Slack alert naming any app whose error rate has spiked above its baseline
    • Include the error rate and the endpoint or class generating the most errors
    • Stay quiet when every app's error rate is within its normal range

    Done when Slack has an alert for every app with a genuine error spike this run.

Run settings

How is each run configured?

Starting pageWhere Chrome opens at the start of each run
www.back4app.com
ScheduleRuns automatically on this cadence
Every hour
DeliveryHow each run's result reaches you
Error spike alert · Slack
OutputWhat each run produces - A Slack alert naming any app with an error rate spike, plus an archived request log per app in Google Drive.
Text + document
Setup & safety

Secure by default

Connect once, stays signed in

WebRun signs in once and keeps each session in a persistent environment, so every run picks up right where it left off.

Your credentials stay in your own private environment - WebRun never stores your passwords.
Strict Lockdown

Every action is checked against this policy before it runs.

Domains ALLOWLIST
Typed input ALLOW
Shell command BLOCK
File uploads BLOCK
Runs in a contained environment More on policies
Good to know

Questions, answered

Does it roll back code or change app settings?

No. WebRun only reads request and error metrics and reports them. Rolling back a Cloud Code deployment or changing a setting stays a decision your team makes.

How is a normal baseline set?

WebRun learns each app's typical error rate from its recent history, so the alert reflects a real spike rather than a fixed number that does not fit every app.

Can I see what is actually causing the errors?

The Slack alert names the endpoint or class generating the most errors, and the full request log archived in Google Drive has the detail behind it.

Put this on autopilot.

Turn it on in minutes - or have our team set it up for you.