Automated serverless logging to S3 via SQS.
Project description
sqs-s3-logger
=============
A library to persist messages on S3 using serverless architecture. It is
mainly targeted at cheaply archiving low-volume, sporadic events from
applications without a need to spin additional infrastructure.
|Overall idea|
What it’s not
-------------
Not a replacement for general logging systems or libraries. Provides no
filtering or aggregation.
AWS Alternatives
-------------
- `Cloudwach Logs`_
- `Kinesis Firehose`_
Usage
=====
Configure ``boto3``\ ’s credentials as per:
http://boto3.readthedocs.io/en/latest/guide/quickstart.html#configuration
Make sure you setup:
- ``AWS_ACCESS_KEY_ID``
- ``AWS_SECRET_ACCESS_KEY``
- ``AWS_DEFAULT_REGION`` (optionally)
Take a look at ``main.py``.
For help: ``python3 main.py -h``
For example (backup at midnight each Saturday from ``app-logs`` queue to
``app-logs-archive`` bucket):
::
sqs-s3-logger create -b app-logs-archive -q app-logs -f app-logs-backup -s 'cron(0 0 ? * SAT *)'
Sending messages to a queue
-------------
Ideally you should use another AWS IAM user with permissions restricted
to getting SQS queues and writing messages.
::
import boto3
sqs = boto3.resource('sqs')
queue = sqs.get_queue_by_name(QueueName='<QUEUE_NAME>')
queue.send_message(MessageBody='<MSG_BODY_NOT_EXCEEDING_256KB>')
Limitations
===========
- Maximum SQS message size is limited to 256 KB
- There could be no more than 120,000 messages in a queue at a time.
- SQS messages cannot persist for longer than 14 days.
- Lambda environment has up to 512MB of ephemeral disk capacity.
- By default it does not guarantee correct time-based ordering
You may need to adjust your CRON settings depending on your volume.
Testing
=======
``python3 setup.py test``
These will use your AWS account to instantiate a temporary integration
environment.
.. |Overall idea| image:: assets/graph-overview.png?raw=true :
.. _Kinesis Firehose: https://aws.amazon.com/kinesis/firehose/
.. _Cloudwach logs: https://aws.amazon.com/cloudwatch/details/#log-monitoring
=============
A library to persist messages on S3 using serverless architecture. It is
mainly targeted at cheaply archiving low-volume, sporadic events from
applications without a need to spin additional infrastructure.
|Overall idea|
What it’s not
-------------
Not a replacement for general logging systems or libraries. Provides no
filtering or aggregation.
AWS Alternatives
-------------
- `Cloudwach Logs`_
- `Kinesis Firehose`_
Usage
=====
Configure ``boto3``\ ’s credentials as per:
http://boto3.readthedocs.io/en/latest/guide/quickstart.html#configuration
Make sure you setup:
- ``AWS_ACCESS_KEY_ID``
- ``AWS_SECRET_ACCESS_KEY``
- ``AWS_DEFAULT_REGION`` (optionally)
Take a look at ``main.py``.
For help: ``python3 main.py -h``
For example (backup at midnight each Saturday from ``app-logs`` queue to
``app-logs-archive`` bucket):
::
sqs-s3-logger create -b app-logs-archive -q app-logs -f app-logs-backup -s 'cron(0 0 ? * SAT *)'
Sending messages to a queue
-------------
Ideally you should use another AWS IAM user with permissions restricted
to getting SQS queues and writing messages.
::
import boto3
sqs = boto3.resource('sqs')
queue = sqs.get_queue_by_name(QueueName='<QUEUE_NAME>')
queue.send_message(MessageBody='<MSG_BODY_NOT_EXCEEDING_256KB>')
Limitations
===========
- Maximum SQS message size is limited to 256 KB
- There could be no more than 120,000 messages in a queue at a time.
- SQS messages cannot persist for longer than 14 days.
- Lambda environment has up to 512MB of ephemeral disk capacity.
- By default it does not guarantee correct time-based ordering
You may need to adjust your CRON settings depending on your volume.
Testing
=======
``python3 setup.py test``
These will use your AWS account to instantiate a temporary integration
environment.
.. |Overall idea| image:: assets/graph-overview.png?raw=true :
.. _Kinesis Firehose: https://aws.amazon.com/kinesis/firehose/
.. _Cloudwach logs: https://aws.amazon.com/cloudwatch/details/#log-monitoring
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