Update sample config
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@ -399,7 +399,7 @@
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# ## 0 : No compression
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# ## 1 : Gzip compression
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# ## 2 : Snappy compression
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# compression_codec = 0
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# # compression_codec = 0
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#
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# ## RequiredAcks is used in Produce Requests to tell the broker how many
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# ## replica acknowledgements it must see before responding
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@ -415,10 +415,11 @@
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# ## received the data. This option provides the best durability, we
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# ## guarantee that no messages will be lost as long as at least one in
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# ## sync replica remains.
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# required_acks = -1
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# # required_acks = -1
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#
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# ## The total number of times to retry sending a message
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# max_retry = 3
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# ## The maximum number of times to retry sending a metric before failing
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# ## until the next flush.
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# # max_retry = 3
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#
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# ## Optional TLS Config
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# # tls_ca = "/etc/telegraf/ca.pem"
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@ -435,7 +436,7 @@
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# ## Each data format has its own unique set of configuration options, read
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# ## more about them here:
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# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
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# data_format = "influx"
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# # data_format = "influx"
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# # Configuration for the AWS Kinesis output.
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@ -776,6 +777,56 @@
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# [[processors.printer]]
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# # Print all metrics that pass through this filter.
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# [[processors.topk]]
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# ## How many seconds between aggregations
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# # period = 10
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#
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# ## How many top metrics to return
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# # k = 10
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#
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# ## Over which tags should the aggregation be done. Globs can be specified, in
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# ## which case any tag matching the glob will aggregated over. If set to an
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# ## empty list is no aggregation over tags is done
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# # group_by = ['*']
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#
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# ## Over which fields are the top k are calculated
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# # fields = ["value"]
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#
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# ## What aggregation to use. Options: sum, mean, min, max
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# # aggregation = "mean"
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#
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# ## Instead of the top k largest metrics, return the bottom k lowest metrics
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# # bottomk = false
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#
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# ## The plugin assigns each metric a GroupBy tag generated from its name and
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# ## tags. If this setting is different than "" the plugin will add a
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# ## tag (which name will be the value of this setting) to each metric with
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# ## the value of the calculated GroupBy tag. Useful for debugging
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# # add_groupby_tag = ""
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#
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# ## These settings provide a way to know the position of each metric in
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# ## the top k. The 'add_rank_field' setting allows to specify for which
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# ## fields the position is required. If the list is non empty, then a field
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# ## will be added to each and every metric for each string present in this
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# ## setting. This field will contain the ranking of the group that
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# ## the metric belonged to when aggregated over that field.
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# ## The name of the field will be set to the name of the aggregation field,
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# ## suffixed with the string '_topk_rank'
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# # add_rank_fields = []
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#
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# ## These settings provide a way to know what values the plugin is generating
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# ## when aggregating metrics. The 'add_agregate_field' setting allows to
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# ## specify for which fields the final aggregation value is required. If the
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# ## list is non empty, then a field will be added to each every metric for
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# ## each field present in this setting. This field will contain
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# ## the computed aggregation for the group that the metric belonged to when
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# ## aggregated over that field.
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# ## The name of the field will be set to the name of the aggregation field,
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# ## suffixed with the string '_topk_aggregate'
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# # add_aggregate_fields = []
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###############################################################################
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# AGGREGATOR PLUGINS #
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@ -2093,7 +2144,7 @@
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# ##
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# # TCP or UDP 'ping' given url and collect response time in seconds
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# # Collect response time of a TCP or UDP connection
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# [[inputs.net_response]]
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# ## Protocol, must be "tcp" or "udp"
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# ## NOTE: because the "udp" protocol does not respond to requests, it requires
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@ -2101,11 +2152,12 @@
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# protocol = "tcp"
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# ## Server address (default localhost)
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# address = "localhost:80"
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#
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# ## Set timeout
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# timeout = "1s"
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# # timeout = "1s"
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#
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# ## Set read timeout (only used if expecting a response)
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# read_timeout = "1s"
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# # read_timeout = "1s"
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#
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# ## The following options are required for UDP checks. For TCP, they are
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# ## optional. The plugin will send the given string to the server and then
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@ -2114,6 +2166,9 @@
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# # send = "ssh"
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# ## expected string in answer
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# # expect = "ssh"
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#
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# ## Uncomment to remove deprecated fields
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# # fieldexclude = ["result_type", "string_found"]
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# # Read TCP metrics such as established, time wait and sockets counts.
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@ -2990,6 +3045,53 @@
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# # basic_password = "barfoo"
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# # Read JTI OpenConfig Telemetry from listed sensors
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# [[inputs.jti_openconfig_telemetry]]
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# ## List of device addresses to collect telemetry from
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# servers = ["localhost:1883"]
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#
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# ## Authentication details. Username and password are must if device expects
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# ## authentication. Client ID must be unique when connecting from multiple instances
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# ## of telegraf to the same device
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# username = "user"
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# password = "pass"
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# client_id = "telegraf"
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#
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# ## Frequency to get data
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# sample_frequency = "1000ms"
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#
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# ## Sensors to subscribe for
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# ## A identifier for each sensor can be provided in path by separating with space
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# ## Else sensor path will be used as identifier
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# ## When identifier is used, we can provide a list of space separated sensors.
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# ## A single subscription will be created with all these sensors and data will
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# ## be saved to measurement with this identifier name
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# sensors = [
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# "/interfaces/",
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# "collection /components/ /lldp",
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# ]
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#
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# ## We allow specifying sensor group level reporting rate. To do this, specify the
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# ## reporting rate in Duration at the beginning of sensor paths / collection
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# ## name. For entries without reporting rate, we use configured sample frequency
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# sensors = [
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# "1000ms customReporting /interfaces /lldp",
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# "2000ms collection /components",
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# "/interfaces",
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# ]
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#
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# ## x509 Certificate to use with TLS connection. If it is not provided, an insecure
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# ## channel will be opened with server
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# ssl_cert = "/etc/telegraf/cert.pem"
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#
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# ## Delay between retry attempts of failed RPC calls or streams. Defaults to 1000ms.
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# ## Failed streams/calls will not be retried if 0 is provided
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# retry_delay = "1000ms"
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#
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# ## To treat all string values as tags, set this to true
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# str_as_tags = false
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# # Read metrics from Kafka topic(s)
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# [[inputs.kafka_consumer]]
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# ## kafka servers
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