SumoLogic

Log in to your Sumo Logic account and navigate to Manage Data → Collection in the left sidebar. Click Add Collector and choose Hosted Collector — this is a cloud-managed collector that Sumo Logic runs for you, with no software to install on a server. Give the collector a descriptive name like `flutterflow-app-prod` and click Save. With the collector created, click Add Source on the collector row. From the source type list, select HTTP Logs & Metrics. This is the source type that gives you an auto-generated HTTPS URL for log ingestion. Give the source a name like `app-events`. Under Source Category, enter a category name like `flutterflow/production` — this becomes a metadata field (`_sourceCategory`) on every log line, letting you filter logs in Sumo Logic by source without mixing app events with other collectors you might add later. In the Advanced options, set the Timestamp parsing if your log payloads will include an ISO 8601 timestamp field. By default Sumo Logic uses the ingestion time as the log timestamp, which is usually fine for real-time logging. Leave Message Format as the default `text/plain` — Sumo Logic auto-detects JSON. Click Save & Close. Sumo Logic immediately generates the HTTP Source URL — a long HTTPS URL ending in a token like `/receiver/v1/http/ZaVnC4...`. Copy this URL now and save it somewhere safe. This is the only URL you will use for log ingestion. Note: the region segment in the URL (e.g. `us2`, `eu`, `au`) must match your Sumo Logic deployment region — do not manually edit the URL, always copy the exact URL Sumo Logic generates.

Before wiring up FlutterFlow, consider whether to proxy the Source URL through Firebase Cloud Functions or Supabase Edge Functions. For a prototype or internal tool used by a small team, you can skip this step and put the Source URL directly in the FlutterFlow API Call. For a production consumer app, the proxy is strongly recommended: the Source URL embedded in a compiled app binary can be extracted with standard tooling, and anyone with the URL can POST arbitrary data to your Sumo Logic account — driving up ingest costs and polluting your data. The proxy is simple: a Firebase Cloud Function or Supabase Edge Function that accepts a JSON body from your FlutterFlow app and forwards it to the Sumo Logic HTTP Source URL, which is stored as a secret environment variable. No authentication header manipulation is needed — the forwarding is a direct POST relay. Deploy the function to Firebase using the Firebase Console's inline editor. Store the Source URL using `defineSecret('SUMO_SOURCE_URL')`. The function receives the log payload from FlutterFlow, validates it (optional: check for required fields), and forwards it to Sumo Logic. The FlutterFlow API Call will target your proxy URL instead of the Sumo Logic endpoint directly. This proxy is also the right place to batch logs server-side: FlutterFlow can POST an array of log events to the proxy, and the proxy can forward them as a Sumo Logic multi-line POST (Sumo Logic's HTTP Source accepts multiple JSON log lines in a single request when each line is a separate newline-delimited JSON object). This reduces the number of individual HTTP calls from your FlutterFlow app significantly. For teams who want help setting up this logging pipeline and the FlutterFlow batching pattern, RapidDev builds these integrations regularly — free scoping call at rapidevelopers.com/contact.

1// Firebase Cloud Function (Node.js) — Sumo Logic log proxy
2const { onRequest } = require('firebase-functions/v2/https');
3const { defineSecret } = require('firebase-functions/params');
4const axios = require('axios');
5
6const SUMO_SOURCE_URL = defineSecret('SUMO_SOURCE_URL');
7
8exports.sumoLogProxy = onRequest(
9  { secrets: [SUMO_SOURCE_URL] },
10  async (req, res) => {
11    // CORS for web builds
12    res.set('Access-Control-Allow-Origin', '*');
13    if (req.method === 'OPTIONS') {
14      res.set('Access-Control-Allow-Headers', 'Content-Type');
15      return res.status(204).send('');
16    }
17
18    if (req.method !== 'POST') {
19      return res.status(405).json({ error: 'Method not allowed' });
20    }
21
22    const sourceUrl = SUMO_SOURCE_URL.value();
23    const logs = Array.isArray(req.body) ? req.body : [req.body];
24
25    // Sumo Logic accepts newline-delimited JSON for batch ingestion
26    const body = logs.map(l => JSON.stringify(l)).join('\n');
27
28    try {
29      await axios.post(sourceUrl, body, {
30        headers: { 'Content-Type': 'application/x-www-form-urlencoded' },
31      });
32      return res.json({ ok: true, count: logs.length });
33    } catch (err) {
34      return res.status(err.response?.status || 500).json({
35        error: err.message,
36      });
37    }
38  }
39);

In FlutterFlow, open the left nav and click API Calls. Click + Add and select Create API Group. Name the group SumoLogic. In the Base URL field, enter either your deployed proxy function URL (recommended for production) or the Sumo Logic HTTP Source URL directly (for prototypes). With the group created, click + Add Call. Name it SendLog. Set the method to POST. Leave the endpoint path as `/` (the base URL is the full ingestion endpoint — there is no additional path needed). In the Headers section, add `Content-Type: application/json`. No Authorization header is needed because the auth token is embedded in the URL (or handled by your proxy). In the Body section, select JSON and add a JSON body template with the log fields you want to capture. Use FlutterFlow Variables for the dynamic fields so you can pass values from your app's state when calling this API. Create Variables in the Variables tab: level (String), message (String), userId (String), screen (String). Reference them in the body as `{{level}}`, `{{message}}`, `{{userId}}`, `{{screen}}`. In the Response & Test tab, click Test to send a test request. After the request succeeds, check Sumo Logic's Live Tail (Manage Data → Live Tail in the Sumo Logic console) — the test log should appear within a few seconds. This confirms the API Call is working end to end before you wire it to FlutterFlow actions. To invoke the API Call from a FlutterFlow action: open any widget's Actions panel, click + Add Action, and navigate to Backend/API Calls → SumoLogic → SendLog. Pass the appropriate variables: userId from App State, screen from a hardcoded string matching the current screen name, level as 'info' or 'error', and message as a dynamic string from your action context.

1{
2  "group_name": "SumoLogic",
3  "base_url": "https://YOUR_PROXY_URL.cloudfunctions.net/sumoLogProxy",
4  "calls": [
5    {
6      "name": "SendLog",
7      "method": "POST",
8      "endpoint": "/",
9      "headers": {
10        "Content-Type": "application/json"
11      },
12      "body": {
13        "level": "{{level}}",
14        "message": "{{message}}",
15        "userId": "{{userId}}",
16        "screen": "{{screen}}",
17        "timestamp": "{{timestamp}}",
18        "appVersion": "1.0.0"
19      },
20      "variables": [
21        { "name": "level", "type": "String" },
22        { "name": "message", "type": "String" },
23        { "name": "userId", "type": "String" },
24        { "name": "screen", "type": "String" },
25        { "name": "timestamp", "type": "String" }
26      ]
27    }
28  ]
29}

The value of Sumo Logic is its search — you can query logs with a query language similar to SQL, filter by field, group by user ID, and build dashboards. But this only works if your log payloads are consistently structured. Random log messages with no consistent fields are searchable but not analyzable. Define a standard log schema for your FlutterFlow app. At a minimum, every log line should include: `level` (info, warn, error), `message` (a human-readable description), `userId` (the signed-in user's ID from App State), `screen` (the FlutterFlow screen name where the event occurred), `timestamp` (ISO 8601 from the client), and `appVersion`. For errors, add `errorCode` and `errorDetails`. For event-type logs (user actions you want to track), add an `event` field with a machine-readable action name like `checkout_started`, `payment_failed`, or `profile_updated`. Sumo Logic can parse this field and let you count event occurrences over time. Set the Source Category on your Sumo Logic HTTP Source to something hierarchical like `flutterflow/production/events` or `flutterflow/production/errors`. This lets you create separate Sumo Logic queries for events vs errors by filtering on `_sourceCategory` — a built-in Sumo Logic metadata field that does not count toward your log payload size. Avoid logging personally identifiable information in plain text — no raw passwords, no full credit card numbers, no national ID numbers. User IDs and email addresses are typically acceptable for operational logs but confirm with your legal or privacy team based on your jurisdiction and user consent flows.

1{
2  "level": "error",
3  "message": "Payment failed: insufficient funds",
4  "event": "payment_failed",
5  "userId": "usr_12345",
6  "screen": "Checkout",
7  "timestamp": "2026-07-09T14:30:00Z",
8  "appVersion": "2.1.0",
9  "platform": "android",
10  "errorCode": "card_declined",
11  "errorDetails": "insufficient_funds",
12  "sessionId": "sess_abc123"
13}

Sending one API Call to Sumo Logic per user action is the most straightforward implementation but also the most expensive and fragile. On a mobile connection, one POST per tap generates dozens of HTTP connections per session, each with its own latency. At scale, this drives up ingest volume (Sumo Logic bills by ingest) and can hit the HTTP Source's throughput limits, resulting in 429 Too Many Requests responses that silently drop log data. The better pattern is batching: collect log events in an App State list and flush the list to Sumo Logic periodically. In FlutterFlow, create an App State variable named `pendingLogs` of type JSON List (or String List if you serialize logs as JSON strings). Instead of calling SendLog immediately when an event occurs, append the log object to `pendingLogs`. Create a FlushLogs action sequence: when `pendingLogs` has 10 or more items, call SendLog with the entire batch as the body (your proxy should handle receiving an array and converting it to newline-delimited JSON before forwarding to Sumo Logic). Also flush on key lifecycle events: on app pause/background, on sign-out, and on any critical error (flush immediately before the error log so context is preserved). For a prototype without the proxy, you can call SendLog with an array of items by modifying the body to send `{"logs": [...]}` — Sumo Logic will parse the nested array and index each item if you configure the Sumo Logic source to handle nested JSON. The proxy batch pattern is cleaner and more production-ready. Verify the batching is working by checking Sumo Logic's Live Tail during a test session. You should see batches of 5-10 log lines arriving together at intervals rather than a steady stream of individual lines every second.

With logs flowing in, the final step is confirming end-to-end delivery and setting up a basic search to verify your log schema is working correctly. In Sumo Logic, navigate to Log Search in the top nav. In the search bar, type `_sourceCategory=flutterflow/production` and click Search. All logs from your FlutterFlow app's source category should appear in the results pane. Sumo Logic's Log Search uses the Sumo Logic query language. To filter by a JSON field, use the `| json` operator: type `_sourceCategory=flutterflow/production | json field=_raw "level", "screen" | where level="error"` to see only error-level logs. To count events by screen, add `| count by screen | sort by _count desc` — this shows which screens generate the most log events. Check that your timestamp fields are being parsed correctly: in the results, the Timestamp column should show your client-side timestamp rather than the ingestion time (Sumo Logic auto-detects ISO 8601 timestamps in JSON if configured). If timestamps appear incorrect, open your HTTP Source settings and enable the Timestamp parsing option. For ongoing monitoring, create a Sumo Logic Dashboard with panels for: total log count over time (to detect traffic spikes), error count by screen (to find problem areas), and a list of the most recent error messages. Sumo Logic dashboards auto-refresh and can be shared with your team. Set up a Monitor (Sumo Logic alert) that fires a webhook or email when the error count exceeds a threshold over a 15-minute window — this gives your team early warning of production issues without manually checking the dashboard.