Easy Logstash is a python package that allows you to use logstash logging in your applications in very simple manner.
Because of using Python logstash async on the background, you can read more about the python logstash async at the link above.
Just pip install easy-logstash
Assuming that your application is named example-com
and the environment is test
,
and you may want to save all your logs of this application
into elasticsearch index named logstash-example-com-test
.
There are a few code examples:
# file log_config.py
from easy_logstash import EasyLogstashConfig
log_config = EasyLogstashConfig(
LOGSTASH_HOST, LOGSTASH_PORT, LOGSTASH_DATABASE_PATH, 'example-com-test'
)
# file foo.py
from log_config import log_config
logger = log_config.get_logger(__name__)
logger.warning('Some things look strangely ...')
It's very simple, right?
Now, take a look at the situation when you use only the package python-logstash-async
to do the same thing without easy-logstash
for better understanding what easy-logstash
does.
# file log_config.py should be involved while application is starting
import logging
from logstash_async.formatter import LogstashFormatter
from logstash_async.handler import AsynchronousLogstashHandler
# create the application root logger with logstash
root_logger = logging.getLogger('logstash-example-com-test')
root_logger.propagate = False
root_logger.setLevel(logging.DEBUG)
# create the handler and formatter
handler = AsynchronousLogstashHandler(LOGSTASH_HOST, LOGSTASH_PORT, LOGSTASH_DATABASE_PATH)
formatter = LogstashFormatter(metadata={'elasticsearch_index': 'logstash-example-com-test'})
handler.setFormatter(formatter)
handler.setLevel(logging.DEBUG)
# add handler to the application root logger
root_logger.addHandler(handler)
# create your log in your file foo.py
logger = logging.getLogger(f'logstash-example-com-test.{__name__}')
logger.warning('Some things look strangely ...')
You can also configure the constant LOGGING in your setting.py
file in a very simple way.
# setting.py
...
from easy_logstash import DjangoLogstashConfig
LOG_CONFIG = DjangoLogstashConfig(
LOGSTASH_HOST, LOGSTASH_PORT, LOGSTASH_DATABASE_PATH, 'example-com-test'
)
LOGGING = LOG_CONFIG.get_dict_config()
...
# foo.py
from django.conf import settings
logger = settings.LOG_CONFIG.get_logger(__name__)
logger.warning('Some things look strangely ...')
For example, the logstash pipeline configuration would look like this:
input {
beats {
port => 5044
}
tcp {
port => 50000
codec => json_lines {}
}
}
output {
elasticsearch {
hosts => "elasticsearch:9200"
user => "logstash_internal"
password => "strong_password"
index => "%{[@metadata][index_suffix]}"
}
}
That's all. Enjoy coding!