One of the easiest ways to collect logs is to send all of them to S3 buckets. To make the log collection a breeze, use our app in the AWS Serverless Application Repository.
Requirements
You need to have a ready-made S3 bucket.
The bucket should be clear of any Lambda triggers.
Your AWS user should have permissions to create lambdas and IAM roles.
be sure to check the checkbox labeled as I acknowledge that this app creates custom IAM roles and resource policies.
Click Deploy
Once the deployment is done every new gzipped log file placed in the lambda will be sent to Coralogix
Parameters and Descriptions
Variable
Description
Application Name
The stack name of this application created via AWS CloudFormation. If your log is JSON format, can use a Dynamic value from it. Example: $.level1.level2.value
NotificationEmail
Failure notification email address
S3BucketName
The name of the S3 bucket to watch
ApplicationName
Application Name in Coralogix.
BlockingPattern
If you wish to block some of the logs adding a substring will act as selector. Default is empty to send all logs.
BufferSize
Buffer size for logs in the lambda function.
CoralogixRegion
The Coralogix location region [Europe, India, Singapore, US] Check your Coralogix account if url ends in .us its US. Region. Same for the others.
Debug
Coralogix logger debug mode
FunctionArchitecture
Our Function supports x86_64 or arm64
FunctionMemorySize
Max Memory for the function itself.
FunctionTimeout
Function TimeOut
NewlinePattern
Pattern for multiLine example: [\s(?={)|(?<=})\s,\s(?={)|(?<=})\s]
PrivateKey
Your Coralogix account ‘send your logs’ key. Can be found in DataFlow -> API Keys
SamplingRate
Sets the sampling rate
SubsystemName
SubSystem name in Coralogix. If your log is JSON format, can use a Dynamic value from it. Example: $.level1.level2.value
S3KeyPrefix
The S3 path prefix to watch, if you want to watch a particular subfolder within the bucket.
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