Adding precision rounding to the accumulator. This means that now every
input metric will get rounded at collection, rather than at write (and
only for the influxdb output).
This feature is disabled for service inputs, because service inputs
should be in control of their own timestamps & precisions.
* Use shared AWS credential configuration.
* Cloudwatch dimension wilcards
* Allow configuring cache_ttl for cloudwatch metrics.
* Allow for wildcard in dimension values to select all available metrics.
* Use internal.Duration for CacheTTL and go fmt
* Refactor to not use embedded structs for config.
* Update AWS plugin READMEs with credentials details, update Changelog.
* Fix changelog after rebasing to master and 0.13.1 release.
* Fix changelog after rebase.
changes:
- -sample-config will now comment out all but a few default plugins.
- config file parse errors will output path to bad conf file.
- cleanup 80-char line-length and some other style issues.
- default package conf file will now have all plugins, but commented
out.
closes#199closes#944
The following configuration is now possible
## CompressionCodec represents the various compression codecs
recognized by Kafka in messages.
## "none" : No compression
## "gzip" : Gzip compression
## "snappy" : Snappy compression
# compression_codec = "none"
## RequiredAcks is used in Produce Requests to tell the broker how
many replica acknowledgements it must see before responding
## "none" : the producer never waits for an acknowledgement from the
broker. This option provides the lowest latency but the weakest
durability guarantees (some data will be lost when a server fails).
## "leader" : the producer gets an acknowledgement after the leader
replica has received the data. This option provides better durability
as the client waits until the server acknowledges the request as
successful (only messages that were written to the now-dead leader but
not yet replicated will be lost).
## "leader_and_replicas" : the producer gets an acknowledgement after
all in-sync replicas have received the data. This option provides the
best durability, we guarantee that no messages will be lost as long as
at least one in sync replica remains.
# required_acks = "leader_and_replicas"
## The total number of times to retry sending a message
# max_retry = "3"
if i understand the prometheus data model correctly, the current output
for this plugin is unusable
prometheus only accepts a single value per measurement. prior to this change, the range loop
causes a measurement to end up w/ a random value
for instance:
net,dc=sjc1,grp_dashboard=1,grp_home=1,grp_hwy_fetcher=1,grp_web_admin=1,host=sjc1-b4-8,hw=app,interface=docker0,state=live
bytes_recv=477596i,bytes_sent=152963303i,drop_in=0i,drop_out=0i,err_in=0i,err_out=0i,packets_recv=7231i,packets_sent=11460i
1457121990003778992
this 'net' measurent would have all it's tags copied to prometheus
labels, but any of 152963303, or 0, or 7231 as a value for
'net' depending on which field is last in the map iteration
this change expands the fields into new measurements by appending
the field name to the influxdb measurement name.
ie, the above example results with 'net' dropped and new measurements
to take it's place:
net_bytes_recv
net_bytes_sent
net_drop_in
net_err_in
net_packets_recv
net_packets_sent
i hope this can be merged, i love telegraf's composability of tags and
filtering
Cameron Sparr
Kostas Botsas
vanillahsu
John Engelman
Nick
Jason Roelofs
Eugene Chupriyanov
Eugene Chupriyanov
Florent Ramière
JP
Chris Goller
david birdsong
Eugene Dementiev
Thibault Cohen
Manuel Sangoi
bastard