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Metrics 2.0
&
Graph­Explorer

 

 
 

 

Credit: user niteroi @ panoramio.com
 

 

vimeo.com/43800150
 

 
 

 
“Dieter” ?

 

 
Peter → Deter

 

 
what.is.a.metric

 

 
stats.timers.dfs5.proxy­
server.object.GET.200.timing
.upper_90

 

 
O(X*Y*Z)
X = # apps                
Y = # people             
Z = # aggregators     
 

 
stats.timers.dfs5.proxy­server.object.GET.200.timing.upper_90
{
    “server”: “dfvimeodfsproxy5”,
    “http_method”: “GET”,
    “http_code”: “200”,
    “unit”: “ms”,
    “target_type”: “gauge”,
    “stat”: “upper_90”,
    “swift_type”: “object”
    “plugin”: “swift_proxy_server”
}
https://github.com/vimeo/graph­explorer/wiki
 

 
●

b: bit

●

B: byte

●

Err: errors

●

Warn: warnings

●

Conn: connections

●

Event: events (tcp events etc)

●

Ino: inodes

●

Jiff: jiffies (i.e. for cpu usage)

●

Job: job (as in job queue)

●

File: (not 'F' that's farad)

●

Load: cpu load

●

Metric: a metric line like in the statsd or graphite protocol

●

Msg: message (like in message queues)

●

Page: page (as in memory segment)

●

Pckt: network packet

●

Process

●

Req: http requests, database queries, etc

●

Sock: sockets

●

Thread

●
  Ticket: upload tickets, kerberos tickets, ..

 
 

 
Carbon­tagger:
... 
service=foo.instance=host.target_type=gauge.type=calculation
.unit=B 123 1234567890
…
Statsdaemon:
..unit=B..unit=B...     →  unit=B/s
..unit=ms..unit=ms.. →  unit=ms stat=mean
 

 
 

 
 

 
Graph­Explorer queries 101

Proxy­server swift server:regex upper_90 
unit=ms from <datetime> to <datetime> avg 
over <timespec> 

 

 
 

 
 

 
 

 
 

 
Stack .. http_method:(PUT|GET) 
swift_type=object avg by http_code,server

 

 
 

 
transcode unit=jobs/s avg over <time> from 
<datetime> to <datetime>

 

 
 

 

Note: data is obfuscated
!queue sum by zone:ap­southeast|eu­west|us­
east|us­west|sa­east|vimeo­df|vimeo­lv group 
by state

 

 
 

 

Note: data is obfuscated
Group by zone

 

 
 

 

Note: data is obfuscated
{
    server=dfvimeodfs1
    plugin=diskspace
    mountpoint=_srv_node_dfs5
    unit=B
    type=used
    target_type=gauge
}
 

 
server:dfvimeodfs unit=GB type=free srv node

 

 
 

 
unit=GB/d group by mountpoint

 

 
 

 
 

 
 

 
 

 
 

 
unit=Mb/s network dfvimeorpc sum by server

 

 
 

 
unit=MB

 

 
 

 
 

 
Dashboard definition
 queries = [
   'cpu usage sum by core',
   'mem unit=B !total group by type:swap',
   'stack network unit=b/s',
   'unit=B (free|used) group by =mountpoint'
 ]

 

 
Conclusion
●

Changing information needs (esp. for troubleshooting)

●

Complicated information needs 
→ changing & complicated graphs & alerts → PAIN

●

●

Self­describing metrics

●

Standardized metrics

●

Native metrics 2.0

●

 

Structuring metrics

→ BREEZE 

 
Conclusion
●

metrics can be a lot more useful

●

Feedback

●

●

 

Graph­Explorer, carbon­tagger, 
statsdaemon, ...
Standardisation & native metrics 2.0 ?

 

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