This Lambda function is designed to interact with Grafana through its API. It performs several actions based on the provided requirements. Additionally, it logs requests in an AWS Timestream database and sends error messages to an SNS topic.

Before running the Lambda function, ensure that you have the following:

• AWS Account

• Grafana Instance

• IAM Role with the necessary permissions for Lambda function

• AWS Timestream database and table

• SNS Topic named "ERR_TOPIC"

Make sure to install the required dependencies for the Lambda function:

• Python 3.11 or later (if not provided by AWS Lambda)

• boto3 library

• urllib3 library

Install the dependencies using the following:

`bash

pip install boto3 urllib3

Update the Lambda function code with your specific configurations:

• AWS credentials (access key, secret key, session token)

• Grafana API URL (grafana_api_url)

• AWS Timestream configuration:

• Region (region)

• Database name (database_name)

• Table name (table_name)

• SNS Topic ARN (ERR_TOPIC)

Deploy the Lambda function using the AWS Lambda console or AWS CLI. Ensure that the Lambda function has the necessary IAM role attached.

1. Invoke the Lambda function manually or set up an AWS API Gateway trigger.

2. The function will perform the following actions:

• Check if the Grafana organization exists based on the provided org name.

• Check if the Grafana user exists based on the provided email. If not, create the user with the role "Viewer."

• If there are any exceptions, an error message is sent to the specified SNS Topic.

• Logs of requests are saved in the Timestream database.

• Adjust the timeout duration (timeout_duration) according to your requirements.

• When the Grafana server is not responding, we will get a timeout error after 3 seconds (default).

• Ensure that the Lambda function has the necessary permissions to access Grafana, Timestream, and SNS.