Shipping RDS logs from s3 into a kinesis stream. For example: This enables you to stream your logs into a elastic search cluster with kibana. Or any other logging/monitoring solutions.
The repo is not maintained any more, because there is no use for it from our side.
related projects:
- RDS Log Dog : AWS RDS Logs to s3
rds-log-cat is a lambda function which can be triggered by a S3 bucket (on new files e.g.). It parses the logfiles and post it to kinesis.
If you are in the vertical ImmobilienScout, the simplest and most automated method is to use teamcity.
You can put your copy of rds-log-cat to our project or in your own project. Please use this rds-log-template
To build and test locally, simply execute:
pyb
To build and deploy to AWS: First configure the location, where to put the artifacts (lamdba and cloudformation stack) to:
DISTRIBUTION_BUCKET_PREFIX=rds-log-cat
The AWS_DEFAULT_REGION will be added to the DISTRIBUTION_BUCKET_PREFIX like: rds-log-cat-eu-west-1
Build and deploy with the "teamcity" profile:
pyb -o -E teamcity
At the end you will see, where the lambda is deployed to. Now you can test the function in AWS with:
./run_integration_tests.py
If this succeeded you can deploy the cloudformation stack (see deployed artifacts). Configuration is made in the description section of the function.
- kinesisStream - kinesis stream to post to
- type - type of logfile can be: postgresql or mysql
Example stacks can be found in cfn/. See README for how to deploy the stacks.
You can write your own parser to parse your logfiles (see below).
Create a python class with the name of your choice in parser/
The class must implement at least the parse method from Parser
Roll out the lambda with the config: type pointing to the name (without .py) of your created file.
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