logcollect

Python library for centralized log collecting

Provides simple configuration for collecting python logs to ELK stack via RabbitMQ.

Supported message flow is following:

python.logging
      ||
      \/
  logcollect
      ||
      \/
   RabbitMQ  
      ||
      \/
   Logstash
      ||
      \/
 ElasticSearch
      ||
      \/
    Kibana
    

Mechanics

Native logging

logcollect.boot.default_config ensures that root logger has correctly configured amqp handler.

Django

logcollect.boot.django_dict_config modifies django.conf.settings.LOGGING to ensure correct amqp handler for root logger. It should be called in settings module after LOGGING definition.

Celery

logcollect.boot.celery_config adds signal handler for worker_process_init signal, and after that adds amqp handler to task_logger base handler. If necessary, root logger can be also attached to amqp handler.

Tips for configuration

Logstash

input {
  rabbitmq {
    exchange => "logstash"
    queue => "logstash"
    host => "rabbitmq-host"
    type => "amqp"
    durable => true
    codec => "json"
  }
}
output {
  elasticsearch { host => localhost }
  stdout { codec => rubydebug }
}

logcollect

All boot helpers have same parameters:

• broker_uri - celery-style RabbitMQ connection string, i.e. amqp://guest@localhost//vhost
• exchange, routing_key - message routing info for RabbitMQ
• durable - message delivery mode
• level - handler loglevel
• activity_identity - dict with "process type info"

Activity Identity

Assuming we deployed two projects on same host: "github" and "jenkins". Both have web backends and background workers. Activity identity helps to identify messages from these workers:

Project	Worker	Activity identity
github	backend	{"project": "github", "application": "backend"}
jenkins	background	{"project": "jenkins", "application": "background"}

loggername could be used for separating different parts of code within a worker. Hostnames and process PIDs are added automatically.

Correlation ID

Not supported yet, but idea is marking log messages about same object with ID information about this object.

Examples

Native python logging

 python test_native/native_logging.py

Django

 python test_django/manage.py test_log
 

Celery

First, start worker:

celery worker -A test_celery.app.celery

Then send a task to that worker:

python test_celery/send_task.py

Related works

AMQPHandler and AMQPLogstashFormatter are copied from python-logstash. Thanks for it's author but pika doesn't work on python3, so it's replaced with kombu.

See also:

• RabbitMQ
• Logstash
• Kibana
• Django
• Celery