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1773931546875758 {"level":"fatal","msg":"running db migrations: Migrator: problem creating schema migrations: couldn't start a new transaction: could not create new transaction: failed to connect to `host=db user=supabase_auth_admin database=postgres`: failed SASL auth (FATAL: password authentication failed for user \"supabase_auth_admin\" (SQLSTATE 28P01))","time":"2026-03-19T14:45:46Z"} event body

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  "timestamp": 1775178224009141
}

1775361754340497 {"level":"fatal","msg":"running db migrations: Migrator: problem creating schema migrations: couldn't start a new transaction: could not create new transaction: failed to connect to `host=db user=supabase_auth_admin database=postgres`: failed SASL auth (FATAL: password authentication failed for user \"supabase_auth_admin\" (SQLSTATE 28P01))","time":"2026-04-05T04:02:34Z"} event body

{
  "appname": "supabase-auth",
  "event_message": "{\"level\":\"fatal\",\"msg\":\"running db migrations: Migrator: problem creating schema migrations: couldn't start a new transaction: could not create new transaction: failed to connect to `host=db user=supabase_auth_admin database=postgres`: failed SASL auth (FATAL: password authentication failed for user \\\"supabase_auth_admin\\\" (SQLSTATE 28P01))\",\"time\":\"2026-04-05T04:02:34Z\"}",
  "id": "e2991d4c-bb3f-4ad7-a821-5f2eeca65389",
  "metadata": {
    "level": "fatal",
    "msg": "running db migrations: Migrator: problem creating schema migrations: couldn't start a new transaction: could not create new transaction: failed to connect to `host=db user=supabase_auth_admin database=postgres`: failed SASL auth (FATAL: password authentication failed for user \"supabase_auth_admin\" (SQLSTATE 28P01))",
    "time": "2026-04-05T04:02:34Z",
    "timestamp": "2026-04-05T04:02:34Z"
  },
  "project": "default",
  "timestamp": 1775361754340497
}

1775450865282540 {"args":[0.032501618],"component":"pop","level":"info","msg":"%.4f seconds","time":"2026-04-06T04:47:45Z"} event body

{
  "appname": "supabase-auth",
  "event_message": "{\"args\":[0.032501618],\"component\":\"pop\",\"level\":\"info\",\"msg\":\"%.4f seconds\",\"time\":\"2026-04-06T04:47:45Z\"}",
  "id": "58964069-cbf9-4530-9314-11f801c738e4",
  "metadata": {
    "args": [
      0.032501618
    ],
    "component": "pop",
    "level": "info",
    "msg": "%.4f seconds",
    "time": "2026-04-06T04:47:45Z",
    "timestamp": "2026-04-06T04:47:45Z"
  },
  "project": "default",
  "timestamp": 1775450865282540
}

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Source ID

You'll need this source ID for some integrations or libraries.

469f3923-37d5-4a50-ae10-524e1853f764

If you're hosted on Vercel setup our Vercel integration!

Install the Vercel integration

Gigalixir

Install the Gigalixir command line tool, and navigate to your project directory.

          
    gigalixir drains:add "http://localhost:4000/logs/logplex?api_key=6QIDNghegNGm&source=469f3923-37d5-4a50-ae10-524e1853f764"

Cloudflare App

Already on Cloudflare? Install the Cloudflare app and start sending logs now.

Heroku

Add our log drain with a simple command.

          
    heroku drains:add "http://localhost:4000/logs/logplex?api_key=6QIDNghegNGm&source=469f3923-37d5-4a50-ae10-524e1853f764"

Elixir Logger

Using Elixir? Use our Logger backend to send your structured logs.

Setup the Logger backend

Elixir Agent

Watch log files on a server with our Elixir agent.

Install the agent

Javascript

Use our official Pino transport to send log events from your Javascript project.

Setup the Pino transport

Github Webhook

Set your Github webhook to this Logflare endpoint and we'll ingest Github webhooks for you. This endpoint drops all keys ending in _url so it keeps your Github payloads in check.

        
http://localhost:4000/logs/github?api_key=6QIDNghegNGm&source=469f3923-37d5-4a50-ae10-524e1853f764

Github Action

Use our Github Action (thanks @gr2m) to easily log events coming from your repositories.

Setup the Github Action

Fluent Bit

Watch log files on a server with this Fluent Bit output config.

          
    [INPUT]
        Name        tail
        Path        /var/log/syslog

    [OUTPUT]
        Name             http
        Match            *
        tls              On
        Host             api.logflare.app
        Port             443
        URI              /logs/json?api_key=6QIDNghegNGm&source=469f3923-37d5-4a50-ae10-524e1853f764
        Format           json
        Retry_Limit      5
        json_date_format iso8601
        json_date_key    timestamp

Generic Webhook

Use the generic JSON ingest endpoint to generate log events from an external webhook.

e.g. you can set a Github webhook to send events to:

          
http://localhost:4000/logs/json?api_key=6QIDNghegNGm&source=469f3923-37d5-4a50-ae10-524e1853f764

Or send generic JSON events yourself.

          
    curl -X "POST" "http://localhost:4000/logs/json?source=469f3923-37d5-4a50-ae10-524e1853f764" \
         -H 'Content-Type: application/json; charset=utf-8' \
         -H 'X-API-KEY: 6QIDNghegNGm' \
         -d $'[
      {
        "yellow": true,
        "tags": [
          "popular, tropical, organic"
        ],
        "store": {
          "state": "AZ",
          "city": "Phoenix",
          "zip": 85016,
          "address": "123 W Main St"
        },
        "type": "fruit",
        "name": "banana",
        "qty": 12
      }
    ]'

Custom API Request

Send logs via an HTTP request. This request body payload lets you send over a human readable event message in the message field.

          
    curl -X "POST" "http://localhost:4000/logs?source=469f3923-37d5-4a50-ae10-524e1853f764" \
    -H 'Content-Type: application/json' \
    -H 'X-API-KEY: 6QIDNghegNGm' \
    -d $'{
      "event_message": "This is another log message.",
      "metadata": {
        "ip_address": "100.100.100.100",
        "request_method": "POST",
        "custom_user_data": {
          "vip": true,
          "id": 38,
          "login_count": 154,
          "company": "Apple",
          "address": {
            "zip": "11111",
            "st": "NY",
            "street": "123 W Main St",
            "city": "New York"
          }
        },
        "datacenter": "aws",
        "request_headers": {
          "connection": "close",
          "user_agent": "chrome"
        }
      }
    }'

Custom Cloudflare Worker

Customize the Cloudflare worker using the template below.

          
    const makeid = length => {
        let text = ""
        const possible = "ABCDEFGHIJKLMNPQRSTUVWXYZ0123456789"
        for (let i = 0; i < length; i += 1) {
            text += possible.charAt(Math.floor(Math.random() * possible.length))
        }
        return text
    }

    const buildMetadataFromHeaders = headers => {
        const responseMetadata = {}
        Array.from(headers).forEach(([key, value]) => {
            responseMetadata[key.replace(/-/g, "_")] = value
        })
        return responseMetadata
    }

    const WORKER_ID = makeid(6)

    async function handleRequest(event) {
        const {
            request
        } = event;
        const rMeth = request.method
        const rUrl = request.url
        const uAgent = request.headers.get("user-agent")
        const rHost = request.headers.get("host")
        const cfRay = request.headers.get("cf-ray")
        const cIP = request.headers.get("cf-connecting-ip")
        const rCf = request.cf

        const requestMetadata = buildMetadataFromHeaders(request.headers)

        const sourceKey = "469f3923-37d5-4a50-ae10-524e1853f764"
        const apiKey = "6QIDNghegNGm"

        const t1 = Date.now()
        const response = await fetch(request)
        const originTimeMs = Date.now() - t1

        const statusCode = response.status

        const responseMetadata = buildMetadataFromHeaders(response.headers)

        const logEntry = `${rMeth} | ${statusCode} | ${cIP} | ${cfRay} | ${rUrl} | ${uAgent}`

        const logflareEventBody = {
            source: sourceKey,
            log_entry: logEntry,
            metadata: {
                response: {
                    headers: responseMetadata,
                    origin_time: originTimeMs,
                    status_code: response.status,
                },
                request: {
                    url: rUrl,
                    method: rMeth,
                    headers: requestMetadata,
                    cf: rCf,
                },
                logflare_worker: {
                    worker_id: WORKER_ID,
                },
            },
        }

        const init = {
            method: "POST",
            headers: {
                "X-API-KEY": apiKey,
                "Content-Type": "application/json",
                "User-Agent": `Cloudflare Worker via ${rHost}`
            },
            body: JSON.stringify(logflareEventBody),
        }

        event.waitUntil(fetch("http://localhost:4000/logs", init))

        return response
    }

    addEventListener("fetch", event => {
        event.passThroughOnException()

        event.respondWith(handleRequest(event))
    })