75 lines
1.9 KiB
Plaintext
Executable File
75 lines
1.9 KiB
Plaintext
Executable File
[DEFAULT]
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#logging, make sure that the user under whom the server runs has permission
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#to write to the directory.
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log_file=threshold.log
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log_dir=/var/log/kiloeyes/
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log_level=DEBUG
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default_log_levels = kiloeyes=DEBUG
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service = threshold_engine
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threads = 3
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[thresholdengine]
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metrics_topic = metrics
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alarm_topic = alarms
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processor = threshold_processor
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check_alarm_interval = 60
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[alarmdefinitions]
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doc_type = alarmdefinitions
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index_strategy = fixed
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index_prefix = admin
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size = 10000
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#query param includes name and dimensions
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#GET /v2.0/alarm-definitions?name=CPU percent greater than 10&dimensions=hostname:devstack,os=linux
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#the alarm definition name filter
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#for example, name = cpu, only start thresh engine with alarm defs who are about cpu
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#name =, set no filter
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name =
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#dimension key/value pairs filter
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#for example, dimensions = hostname:devstack,os=linux,
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#only start engine with alarm defs whose have the related dimensions
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dimensions =
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#the time interval to retrieve the latest alarm definitions
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check_alarm_def_interval = 120
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[kafka_opts]
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#The endpoint to the kafka server, you can have multiple servers listed here
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#for example:
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#uri = 10.100.41.114:9092,10.100.41.115:9092,10.100.41.116:9092
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uri = 192.168.1.191:9092
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#consumer group name
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group = datapoints_group
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#how many times to try when error occurs
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max_retry = 1
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#wait time between tries when kafka goes down
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wait_time = 1
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#use synchronized or asynchronized connection to kafka
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async = False
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#send messages in bulk or send messages one by one.
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compact = False
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#How many partitions this connection should listen messages on, this
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#parameter is for reading from kafka. If listens on multiple partitions,
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#For example, if the client should listen on partitions 1 and 3, then the
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#configuration should look like the following:
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# partitions = 1
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# partitions = 3
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#default to listen on partition 0.
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partitions = 0
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[es_conn]
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uri = http://192.168.1.191:9200
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time_id = timestamp
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drop_data = False
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