Interested in using the [Coralogix AWS Lambda Telemetry Exporter](https://coralogix.com/docs/integrations/aws/aws-lambda-telemetry-exporter/index.md) v.0.2.0 to collect and send us Lambda function metrics? This tutorial provides two methods for setting up a dashboard for monitoring a single Lambda function:

- Import a pre-built dashboard to Granfana (**recommended**)
- Manually create a dashboard that fits your specific needs

## Import a pre-built dashboard

1.

Download the attached [JSON file](https://coralogix.com/docs/user-guides/monitoring-and-insights/setting-up-your-lambda-function-metrics-dashboard/AWS-Lambda-Telemetry-Multi.json).

2.

Import the file to Grafana as a pre-built dashboard.

## Create a dashboard

Use the example presented here to create a dashboard that fits your specific needs.

1.

Create a new Coralogix - Grafana dashboard.

- Select **Apps** > **Grafana Labs** in the upper right-hand menu of your Coralogix dashboard.
- Click **Dashboard settings**

2.

Create a new variable

- Select **Variables** in the left-hand menu > Click **Add variable**

- Create a new variable with the input below > Click **update**

  - **Name**: `faas_name`
  - **Type**: `Constant`
  - **Value**: Input the Lambda function that you wish to monitor. (Using a constant will make it easy to replicate the dashboard for other functions in the future.)

3.

Create panels.

- Create an ‘**Invocations’** panel. Click **Add panel** > **Add empty panel**

- Set options:

  - Panel options > Title = `Invocations`
  - Legend > Legend mode = `Hidden`
  - Standard options > Unit = `requests/sec (rps)`
  - Standard options > Min = `0`

- Add queries:

  - `sum(increase(faas_executions_total{faas_name="$faas_name"}[1m])) OR on() vector(0)`

- Create a ‘**Durations’** panel (per invocation). Click **Add panel** > **Add empty panel**

  - Set options:

    - Panel options → Title = `Durations (per invocation)`
    - Standard options → Unit = `milliseconds (ms)`
    - Standard options → Min = `0`

  - Add queries:

    - `sum(increase(faas_init_duration_ms_sum{faas_name="$faas_name"}[1m])) / sum(increase(faas_invoke_duration_ms_count{faas_name="$faas_name"}[1m]))` with Legend = `Initialisation duration (averaged over all invocations)`
    - `sum(increase(faas_restore_duration_ms_sum{faas_name="$faas_name"}[1m])) / sum(increase(faas_invoke_duration_ms_count{faas_name="$faas_name"}[1m]))` with Legend = `Restoration duration (averaged over all invocations)`
    - `sum(increase(faas_invoke_duration_ms_sum{faas_name="$faas_name"}[1m])) / sum(increase(faas_invoke_duration_ms_count{faas_name="$faas_name"}[1m]))` with Legend = `Average invoke duration`
    - `sum(increase(faas_overhead_duration_ms_sum{cx_subsystem_name="lambda-telemetry-test"}[1m])) / sum(increase(faas_invoke_duration_ms_count{cx_subsystem_name="lambda-telemetry-test"}[1m]))` with Legend = `Average overhead (runtime after invoke) duration`

- Create an ‘**Errors/Timeouts’** panel. Click **Add panel** > **Add empty panel**

  - Set options:

    - Panel options > Title = `Errors/Timeouts`
    - Standard options > Unit = `requests/sec (rps)`
    - Standard options > Min = `0`

  - Add queries:

    - `sum(increase(faas_errors_total{faas_name="$faas_name"}[1m])) OR on() vector(0)` with Label = `errors`
    - `sum(increase(faas_timeouts_total{faas_name="$faas_name"}[1m])) OR on() vector(0)` with Label = `timeouts`

- Create a ‘**Memory Consumption’** panel. Click **Add panel** > **Add empty panel**

  - Set options:

    - Panel options > Title = `Memory Consumption`
    - Standard options > Unit = `megabytes`
    - Standard options > Min = `0`

  - Add queries:

    - `max(faas_mem_usage_MB{faas_name="$faas_name"})` with Label = `maximum memory consumption`
    - `max(faas_mem_limit_MB{faas_name="$faas_name"})` with Label = `available memory`

- Create a ‘**Cold Invocations’** panel. Click **Add panel** > **Add empty panel**

  - Set options:

    - Panel options > Title = `Cold Invocations`
    - Standard options > Unit = `requests/sec (rps)`
    - Standard options > Min = `0`

  - Add queries:

    - `sum(increase(faas_init_duration_ms_count{faas_name="$faas_name"}[1m]))` with Label = `Cold invocations`
    - `sum(increase(faas_restore_duration_ms_count{faas_name="$faas_name"}[1m]))` with Label = `Restorations`

- Create an ‘**Initialization / Restoration Duration’** panel. Click **Add panel** > **Add empty panel**

  - Set options:

    - Panel options > Title = `Initialization / Restoration Duration`
    - Standard options > Unit = `milliseconds (ms)`
    - Standard options > Min = `0`

  - Add queries:

    - `sum(increase(faas_init_duration_ms_sum{faas_name="$faas_name"}[1m])) / sum(increase(faas_init_duration_ms_count{faas_name="$faas_name"}[1m]))` with Label = `Cold invocations`
    - `sum(increase(faas_restore_duration_ms_sum{faas_name="$faas_name"}[1m])) / sum(increase(faas_restore_duration_ms_count{faas_name="$faas_name"}[1m]))` with Label = `Average restoration duration`

4.

Organize panels.

- Click **Add panel** > **Add new row**
- Set Title: `Cold start`
- Adjust the panels as displayed in the image below

5.

Enjoy your Lambda Function Dashboard!

## Support

**Need help?**

Our world-class customer success team is available 24/7 to walk you through your setup and answer any questions that may come up.

Contact us **via our in-app chat** or by emailing [support@coralogix.com](mailto:support@coralogix.com).