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January 31, 2017 23:26
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| # Telegraf Configuration | |
| # | |
| # Telegraf is entirely plugin driven. All metrics are gathered from the | |
| # declared inputs, and sent to the declared outputs. | |
| # | |
| # Plugins must be declared in here to be active. | |
| # To deactivate a plugin, comment out the name and any variables. | |
| # | |
| # Use 'telegraf -config telegraf.conf -test' to see what metrics a config | |
| # file would generate. | |
| # | |
| # Environment variables can be used anywhere in this config file, simply prepend | |
| # them with $. For strings the variable must be within quotes (ie, "$STR_VAR"), | |
| # for numbers and booleans they should be plain (ie, $INT_VAR, $BOOL_VAR) | |
| # Global tags can be specified here in key="value" format. | |
| [global_tags] | |
| my_tag = "load-testing" | |
| # Configuration for telegraf agent | |
| [agent] | |
| ## Default data collection interval for all inputs | |
| interval = "10s" | |
| ## Rounds collection interval to 'interval' | |
| ## ie, if interval="10s" then always collect on :00, :10, :20, etc. | |
| round_interval = true | |
| ## Telegraf will send metrics to outputs in batches of at | |
| ## most metric_batch_size metrics. | |
| metric_batch_size = 1000 | |
| ## For failed writes, telegraf will cache metric_buffer_limit metrics for each | |
| ## output, and will flush this buffer on a successful write. Oldest metrics | |
| ## are dropped first when this buffer fills. | |
| metric_buffer_limit = 10000 | |
| ## Collection jitter is used to jitter the collection by a random amount. | |
| ## Each plugin will sleep for a random time within jitter before collecting. | |
| ## This can be used to avoid many plugins querying things like sysfs at the | |
| ## same time, which can have a measurable effect on the system. | |
| collection_jitter = "0s" | |
| ## Default flushing interval for all outputs. You shouldn't set this below | |
| ## interval. Maximum flush_interval will be flush_interval + flush_jitter | |
| flush_interval = "10s" | |
| ## Jitter the flush interval by a random amount. This is primarily to avoid | |
| ## large write spikes for users running a large number of telegraf instances. | |
| ## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s | |
| flush_jitter = "0s" | |
| ## Run telegraf in debug mode | |
| debug = true | |
| ## Run telegraf in quiet mode | |
| quiet = false | |
| ## Override default hostname, if empty use os.Hostname() | |
| hostname = "" | |
| ## If set to true, do no set the "host" tag in the telegraf agent. | |
| omit_hostname = false | |
| ############################################################################### | |
| # OUTPUT PLUGINS # | |
| ############################################################################### | |
| # Configuration for influxdb server to send metrics to | |
| [[outputs.influxdb]] | |
| ## The full HTTP or UDP endpoint URL for your InfluxDB instance. | |
| ## Multiple urls can be specified as part of the same cluster, | |
| ## this means that only ONE of the urls will be written to each interval. | |
| # urls = ["udp://localhost:8089"] # UDP endpoint example | |
| urls = ["$INFLUXDB_HOST"] # required | |
| username = "$INFLUXDB_USERNAME" | |
| password = "$INFLUXDB_PASSWORD" | |
| ## The target database for metrics (telegraf will create it if not exists). | |
| database = "telegraf" # required | |
| ## Precision of writes, valid values are "ns", "us" (or "µs"), "ms", "s", "m", "h". | |
| ## note: using "s" precision greatly improves InfluxDB compression. | |
| precision = "s" | |
| ## Retention policy to write to. | |
| retention_policy = "autogen" | |
| ## Write consistency (clusters only), can be: "any", "one", "quorom", "all" | |
| write_consistency = "any" | |
| ## Write timeout (for the InfluxDB client), formatted as a string. | |
| ## If not provided, will default to 5s. 0s means no timeout (not recommended). | |
| timeout = "10s" | |
| ############################################################################### | |
| # INPUT PLUGINS # | |
| ############################################################################### | |
| # Read metrics about cpu usage | |
| [[inputs.cpu]] | |
| ## Whether to report per-cpu stats or not | |
| percpu = true | |
| ## Whether to report total system cpu stats or not | |
| totalcpu = true | |
| ## Comment this line if you want the raw CPU time metrics | |
| fielddrop = ["time_*"] | |
| # Read metrics about disk usage by mount point | |
| [[inputs.disk]] | |
| ## By default, telegraf gather stats for all mountpoints. | |
| ## Setting mountpoints will restrict the stats to the specified mountpoints. | |
| # mount_points = ["/"] | |
| ## Ignore some mountpoints by filesystem type. For example (dev)tmpfs (usually | |
| ## present on /run, /var/run, /dev/shm or /dev). | |
| ignore_fs = ["tmpfs", "devtmpfs"] | |
| # Read metrics about disk IO by device | |
| [[inputs.diskio]] | |
| ## By default, telegraf will gather stats for all devices including | |
| ## disk partitions. | |
| ## Setting devices will restrict the stats to the specified devices. | |
| # devices = ["sda", "sdb"] | |
| ## Uncomment the following line if you do not need disk serial numbers. | |
| # skip_serial_number = true | |
| # Get kernel statistics from /proc/stat | |
| [[inputs.kernel]] | |
| # no configuration | |
| # Read metrics about memory usage | |
| [[inputs.mem]] | |
| # no configuration | |
| # Get the number of processes and group them by status | |
| [[inputs.processes]] | |
| # no configuration | |
| # Read metrics about swap memory usage | |
| [[inputs.swap]] | |
| # no configuration | |
| # Read metrics about system load & uptime | |
| [[inputs.system]] | |
| # no configuration | |
| # # Read metrics about network interface usage | |
| [[inputs.net]] | |
| # ## By default, telegraf gathers stats from any up interface (excluding loopback) | |
| # ## Setting interfaces will tell it to gather these explicit interfaces, | |
| # ## regardless of status. | |
| # ## | |
| # # interfaces = ["eth0"] | |
| # # Read TCP metrics such as established, time wait and sockets counts. | |
| [[inputs.netstat]] | |
| # # no configuration | |
| # # Read metrics about docker containers | |
| [[inputs.docker]] | |
| # ## Docker Endpoint | |
| # ## To use TCP, set endpoint = "tcp://[ip]:[port]" | |
| # ## To use environment variables (ie, docker-machine), set endpoint = "ENV" | |
| endpoint = "unix:///var/run/docker.sock" | |
| # ## Only collect metrics for these containers, collect all if empty | |
| # container_names = [] | |
| # ## Timeout for docker list, info, and stats commands | |
| timeout = "5s" | |
| ############################################################################### | |
| # SERVICE INPUT PLUGINS # | |
| ############################################################################### | |
| # Statsd Server | |
| [[inputs.statsd]] | |
| ## Address and port to host UDP listener on | |
| service_address = ":8125" | |
| ## Delete gauges every interval (default=false) | |
| delete_gauges = false | |
| ## Delete counters every interval (default=false) | |
| delete_counters = false | |
| ## Delete sets every interval (default=false) | |
| delete_sets = false | |
| ## Delete timings & histograms every interval (default=true) | |
| delete_timings = false | |
| ## Percentiles to calculate for timing & histogram stats | |
| percentiles = [90] | |
| ## separator to use between elements of a statsd metric | |
| metric_separator = "_" | |
| ## Parses tags in the datadog statsd format | |
| ## http://docs.datadoghq.com/guides/dogstatsd/ | |
| parse_data_dog_tags = false | |
| ## Statsd data translation templates, more info can be read here: | |
| ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md#graphite | |
| # templates = [ | |
| # "cpu.* measurement*" | |
| # ] | |
| ## Number of UDP messages allowed to queue up, once filled, | |
| ## the statsd server will start dropping packets | |
| allowed_pending_messages = 10000 | |
| ## Number of timing/histogram values to track per-measurement in the | |
| ## calculation of percentiles. Raising this limit increases the accuracy | |
| ## of percentiles but also increases the memory usage and cpu time. | |
| percentile_limit = 1000 |
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