The Mezmo AWS CloudWatch integration relies on AWS Lambda to route your CloudWatch Logs to Mezmo Pipelines.
- Create a new Lambda function and select
Author from scratch
- Click on the Lambda function to edit the details:
- Code entry type:
Upload a .ZIP file
- Upload our Lambda function .ZIP File.
- Handler:
index.handler
- Runtime:
Node.js 20.x
If this function is being used to stream from gzipped files:
- Set
Timeout
to, at least,10 seconds
. - Set
Memory
limit to, at least,128 MB
.
Notes:
- The recommended number of retries is 0 because retrying lambda execution can result in duplicate logs. It can be modified in
Configuration > Asynchronous invocation
.
Add CloudWatch Logs
as a trigger with the following configuration:
- Select the
CloudWatch Log Group
to be sent to Mezmo. - Choose your own custom
Filter Name
. - Optional
Filter Pattern
option can be used to filter the logs before shipping to Mezmo.
Notes:
- You can specify only one
CloudWatch Log Group
in one trigger.
For Execution role, assign a role that has the following policies:
PIPELINE_KEY
(required): Your pipeline http source node key.PIPELINE_URL
(required): Pipeline Ingestion URL
Notes: The following optional environment variables can also be used to tune this Lambda function for specific use cases.
MAX_REQUEST_TIMEOUT
(optional): Time limit (inmilliseconds
) for requests made by this HTTP Client (Default: 30000)MAX_REQUEST_RETRIES
(optional): The maximum number of retries for sending a line when there are network failures (Default: 5)REQUEST_RETRY_INTERVAL
(optional): How frequently (inseconds
) to retry for sending a line when there are network failures (Default: 60)
Enabling monitoring means forwarding the metrics and logs about the execution of the CloudWatch Lambda function to CloudWatch
. You can also create and use a separate CloudWatch Lambda function to monitor the performance of this CloudWatch Lambda function.
You can test the configuration and code package using the following test input containing the sample event data:
{
"awslogs": {
"data": "H4sIAAAAAAAAEzWQQW+DMAyF/wrKmaEkJCbhhjbWCzuBtMNUVSmkNBIQRMKqqep/X6Cb5Ivfs58++45G7ZzqdfMza5Sjt6IpTh9lXReHEsXI3ia9BJnQlHHIhMSEBnmw/WGx6xwcp8Z50M9uN2q/aDUGx2vn/5oYufXs2sXM3tjp3QxeLw7lX6hS47lTz6lTO9i1uynfXkOMe5lsp9Fxzyy/9eS3hTsyXYhOGVCaEsBSgsyEYBkGzrDMAIMQlAq+gQIQSjFhBFgqJOUMAog34WAfoFFOOM8kA0Y5SSH+f0SIb67GRaHq/baosn1UmUlHF7tErxvk5wa56b2Z+iRJ0OP4+AWj9ITzSgEAAA=="
}
}
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Contributions are always welcome. See the contributing guide to learn how you can help.