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usersync  1746  0.0  0.0   3524   544 pts/3    S    13:38   0:00 tail -F /home/usersync/sync-summary-from-production.log
usersync  2132  0.0  0.0      0     0 ?        Zs   13:40   0:00 [tail-log-files-] <defunct>
usersync  2193  0.0  0.0   3524   544 ?        S    13:40   0:00 tail -F /home/usersync/sync-summary-from-production.log
usersync  4315  0.0  0.0      0     0 ?        Zs   13:45   0:00 [tail-log-files-] <defunct>
usersync  4389  0.0  0.0   3524   544 ?        S    13:45   0:01 tail -F /home/usersync/sync-summary-from-production.log
usersync  4445  0.0  0.0      0     0 ?        Zs   14:25   0:00 [tail-log-files-] <defunct>
usersync  4502  0.0  0.0   3524   548 ?        S    14:25   0:00 tail -F /home/usersync/sync-summary-from-production.log
usersync  7051  0.0  0.0      0     0 ?        Zs   13:50   0:00 [tail-log-files-] <defunct>
usersync  7117  0.0  0.0   3524   548 ?        S    13:50   0:00 tail -F /home/usersync/sync-summary-from-production.log
nthomas   8645  0.1  0.0   7188  2760 pts/15   

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>>> RING_SIZE = 2**127
>>> def tokens(n):
...   rv = []
...   for x in xrange(n):
...     rv.append(RING_SIZE / n * x)
...   return rv
... 
>>> tokens(4)
[0L, 42535295865117307932921825928971026432L, 85070591730234615865843651857942052864L, 127605887595351923798765477786913079296L]

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db.foo.drop();
db.foo.insert( { _id : 1 } )

ops = [{ op : "findOne" , ns : "test.foo" , query : { _id : 1 } }]

for ( x = 1; x<=128; x*=2){
    res = benchRun( { parallel: x, seconds: 5, ops: ops } )
    print( "threads: " + x + "\t queries/sec: " + res.query )
}

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$ gdb /usr/lib/xulrunner-1.9.2.13/xulrunner-bin 20626
GNU gdb (GDB) 7.1-ubuntu
Copyright (C) 2010 Free Software Foundation, Inc.
License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
This is free software: you are free to change and redistribute it.
There is NO WARRANTY, to the extent permitted by law.  Type "show copying"
and "show warranty" for details.
This GDB was configured as "x86_64-linux-gnu".
For bug reporting instructions, please see:
<http://www.gnu.org/software/gdb/bugs/>...

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[2662122.262113] swapper: page allocation failure. order:0, mode:0x20[2662122.262119] Pid: 0, comm: swapper Not tainted 2.6.32-314-ec2 #27-Ubuntu
[2662122.262122] Call Trace:
[2662122.262124]  <IRQ>  [<ffffffff810b432c>] __alloc_pages_slowpath+0x46c/0x580[2662122.262142]  [<ffffffff81436cc0>] ? ip_local_deliver_finish+0x0/0x2d0[2662122.262146]  [<ffffffff810b45b1>] __alloc_pages_nodemask+0x171/0x180
[2662122.262151]  [<ffffffff810e3a7c>] T.618+0x11c/0x480
[2662122.262154]  [<ffffffff810e401e>] cache_alloc_refill+0x23e/0x280
[2662122.262156]  [<ffffffff810e4205>] __kmalloc+0x1a5/0x1d0
[2662122.262162]  [<ffffffff813ff95b>] __alloc_skb+0x6b/0x170
[2662122.262169]  [<ffffffff8100c98a>] ? sched_clock+0x1a/0x40
[2662122.262173]  [<ffffffff81453d10>] ? tcp_delack_timer+0x0/0x280
[2662122.262175]  [<ffffffff8145253e>] tcp_send_ack+0x2e/0x120

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Mise à jour 2011-09-06. On ajoute des nouvelles sources régulièrement, en fonction de la demande.

OS

• System stats for linux Centos/Redhat 5 & 6, Ubuntu >= 10.04 LTS

Online services

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        SELECT c.key,
            c.org_id,
            c.source_type_id,
            c.host_id,
            c.host_name,
            c.device_name,
            c.tags,
            o.api_key
        FROM dim_context c
        join org o on c.org_id = o.id

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diff --git a/tests/test_simpleclient.py b/tests/test_simpleclient.py
index d30ff1f..69cb2b4 100644
--- a/tests/test_simpleclient.py
+++ b/tests/test_simpleclient.py
@@ -75,11 +75,13 @@ class TestSimpleClient(unittest.TestCase):
         assert now_event['text'] == now_message
         assert before_event['text'] == before_message
 
-        event_id = dog.event('test host and device', 'test host an device', host='test.host', device_name='test.device')
+        event_id = dog.event('test host and device', 'test host an device', host='test.host', device_name='test.device', tags=["test-tag-1", "test-tag-2"])

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Via our open-source agent (https://github.com/datadog/dd-agent) deployed on your servers we understand performance metrics from:

* linux (cpu, io, memory, network)
* sql (mysql, postgres)
* memory-based (memcached, redis)
* nosql (cassandra, couchdb, mongodb)
* metric collection (ganglia)
* MQ (rabbitmq)
* http (apache, nginx)
* continuous integration (hudson/jenkins)

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Now that you have successfully deployed our agent using Chef you want to monitor your applications using Datadog without extensive manual configuration.

In this article we will use PostgreSQL to demonstrate how to let Chef do all the work for us.

Step-by-step example

Step 0. Install postgresql on the server

Start by importing the community's cookbook. knife cookbook site install postgresql