Send logs to an SIEM system over HTTPS

def main():
    option, settings = get_monitor_option()

    logger.info("*** start to consume data...")
    worker = ConsumerWorker(SyncData, option, args=(settings,) )
    worker.start(join=True)

if __name__ == '__main__':
    main()

• Configure the following information:
  • Log file of the program: facilitates subsequent testing or diagnosis of potential issues.
  • Basic configuration items: includes consumer group settings and connection to Log Service.
  • Advanced options for consumer groups: adjusts performance. We do not recommend that you change these settings.
  • Parameters and options for the SIEM system (Splunk in this example).
• Code example:

  Read the code comments in the following example and change parameter settings based on your business needs:

  #encoding: utf8
  import os
  import logging
  from logging.handlers import RotatingFileHandler
  
  root = logging.getLogger()
  handler = RotatingFileHandler("{0}_{1}.log".format(os.path.basename(__file__), current_process().pid), maxBytes=100*1024*1024, backupCount=5)
  handler.setFormatter(logging.Formatter(fmt='[%(asctime)s] - [%(threadName)s] - {%(module)s:%(funcName)s:%(lineno)d} %(levelname)s - %(message)s', datefmt='%Y-%m-%d %H:%M:%S'))
  root.setLevel(logging.INFO)
  root.addHandler(handler)
  root.addHandler(logging.StreamHandler())
  
  logger = logging.getLogger(__name__)
  
  def get_option():
      ##########################
      # Basic configuration items
      ##########################
  
      # Obtain parameters and options for Log Service from environment variables.
      endpoint = os.environ.get('SLS_ENDPOINT', '')
      accessKeyId = os.environ.get('SLS_AK_ID', '')
      accessKey = os.environ.get('SLS_AK_KEY', '')
      project = os.environ.get('SLS_PROJECT', '')
      logstore = os.environ.get('SLS_LOGSTORE', '')
      consumer_group = os.environ.get('SLS_CG', '')
  
      # The starting point of data consumption. This parameter is valid when you run the program for the first time. When you run the program the next time, the consumption will continue from the latest consumption checkpoint.
      # You can use the BEGIN...END statement or a specific ISO time.
      cursor_start_time = "2018-12-26 0:0:0"
  
      ##########################
      # Advanced options
      ##########################
  
      # We do not recommend that you modify the consumer name, especially when concurrent consumption is required.
      consumer_name = "{0}-{1}".format(consumer_group, current_process().pid)
  
      # The heartbeat interval. If the server does not receive a heartbeat report for a specific shard within twice the specified interval, it indicates that the consumer is offline. In this case, the server will allocate the task to another consumer.
      # We recommend that you set a greater interval when the network performance is poor.
      heartbeat_interval = 20
  
      # The maximum interval between two data consumption processes. If data is generated at a fast speed, you do not need to adjust the setting of this parameter.
      data_fetch_interval = 1
  
      # Create a consumer group that contains the consumer.
      option = LogHubConfig(endpoint, accessKeyId, accessKey, project, logstore, consumer_group, consumer_name,
                            cursor_position=CursorPosition.SPECIAL_TIMER_CURSOR,
                            cursor_start_time=cursor_start_time,
                            heartbeat_interval=heartbeat_interval,
                            data_fetch_interval=data_fetch_interval)
  
      # Splunk options
      settings = {
                  "host": "10.1.2.3",
                  "port": 80,
                  "token": "a023nsdu123123123",
                  'https': False,             # Optional. A Boolean variable.
                  'timeout': 120,             # Optional. An integer.
                  'ssl_verify': True,         # Optional. A Boolean variable.
                  "sourcetype": "",           # Optional. The sourcetype field is a default field defined by Splunk.
                  "index": "",                # Optional. The index field is a default field defined by Splunk.
                  "source": "",               # Optional. The source field is a default field defined by Splunk.
              }
  
      return option, settings

from aliyun.log.consumer import *
from aliyun.log.pulllog_response import PullLogResponse
from multiprocessing import current_process
import time
import json
import socket
import requests

class SyncData(ConsumerProcessorBase):
    """
    The consumer consumes data from Log Service and sends it to Splunk.
    """
    def __init__(self, splunk_setting):
      """Initiate Splunk and check network connectivity."""
        super(SyncData, self).__init__()

        assert splunk_setting, ValueError("You need to configure settings of remote target")
        assert isinstance(splunk_setting, dict), ValueError("The settings should be dict to include necessary address and confidentials.")

        self.option = splunk_setting
        self.timeout = self.option.get("timeout", 120)

        # Test connectivity to Splunk.
        s = socket.socket()
        s.settimeout(self.timeout)
        s.connect((self.option["host"], self.option['port']))

        self.r = requests.session()
        self.r.max_redirects = 1
        self.r.verify = self.option.get("ssl_verify", True)
        self.r.headers['Authorization'] = "Splunk {}".format(self.option['token'])
        self.url = "{0}://{1}:{2}/services/collector/event".format("http" if not self.option.get('https') else "https", self.option['host'], self.option['port'])

        self.default_fields = {}
        if self.option.get("sourcetype"):
            self.default_fields['sourcetype'] = self.option.get("sourcetype")
        if self.option.get("source"):
            self.default_fields['source'] = self.option.get("source")
        if self.option.get("index"):
            self.default_fields['index'] = self.option.get("index")

    def process(self, log_groups, check_point_tracker):
        logs = PullLogResponse.loggroups_to_flattern_list(log_groups, time_as_str=True, decode_bytes=True)
        logger.info("Get data from shard {0}, log count: {1}".format(self.shard_id, len(logs)))
        for log in logs:
            # Send data to Splunk.
            event = {}
            event.update(self.default_fields)
            event['time'] = log[u'__time__']
            del log['__time__']

            json_topic = {"actiontrail_audit_event": ["event"] }
            topic = log.get("__topic__", "")
            if topic in json_topic:
                try:
                    for field in json_topic[topic]:
                        log[field] = json.loads(log[field])
                except Exception as ex:
                    pass
            event['event'] = json.dumps(log)

            data = json.dumps(event, sort_keys=True)

                try:
                    req = self.r.post(self.url, data=data, timeout=self.timeout)
                    req.raise_for_status()
                except Exception as err:
                    logger.debug("Failed to connect to remote Splunk server ({0}). Exception: {1}", self.url, err)

                    # TODO: Add code to handle errors. For example, you can add the code to retry or send a notification in response to an error.

        logger.info("Complete send data to remote")

        self.save_checkpoint(check_point_tracker)

export SLS_ENDPOINT=<Endpoint of your region>
export SLS_AK_ID=<YOUR AK ID>
export SLS_AK_KEY=<YOUR AK KEY>
export SLS_PROJECT=<SLS Project Name>
export SLS_LOGSTORE=<SLS Logstore Name>
export SLS_CG=<Consumer group name. You can set it to "syc_data".>

python3 sync_data.py

exeuctor, options, settings = get_option()

    logger.info("*** start to consume data...")
    workers = []

    for option in options:
        worker = ConsumerWorker(SyncData, option, args=(settings,) )
        workers.append(worker)
        worker.start()

    try:
        for i, worker in enumerate(workers):
            while worker.is_alive():
                worker.join(timeout=60)
            logger.info("worker project: {0} logstore: {1} exit unexpected, try to shutdown it".format(
                options[i].project, options[i].logstore))
            worker.shutdown()
    except KeyboardInterrupt:
        logger.info("*** try to exit **** ")
        for worker in workers:
            worker.shutdown()

        # wait for all workers to shutdown before shutting down executor
        for worker in workers:
            while worker.is_alive():
                worker.join(timeout=60)

    exeuctor.shutdown()

• You can log on to the Log Service console to view the status of a consumer group. For more information, see View consumer group status.
• You can use CloudMonitor to view latency associated with consumer groups and to configure alerts. For more information, see Consumer group latency.

nohup python3 sync_data.py &
nohup python3 sync_data.py &
nohup python3 sync_data.py &
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