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Marcin Grzejszczak
2016-03-04 11:04:12 +01:00
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@@ -597,7 +597,49 @@ service1.log:2016-02-26 11:15:48.182 INFO [service1,2485ec27856c56f4,2485ec2785
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<p>If you&#8217;re using a log aggregating tool like Kibana, Splunk etc. you can order the events that took place</p>
<p>If you&#8217;re using a log aggregating tool like <a href="https://www.elastic.co/products/kibana">Kibana</a>,
<a href="http://www.splunk.com/">Splunk</a> etc. you can order the events that took place. An example of
Kibana would look like this:</p>
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<img src="images/kibana.png" alt="Log correlation with Kibana">
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<p>If you want to use <a href="https://www.elastic.co/guide/en/logstash/current/index.html">Logstash</a> here is the Grok pattern for Logstash:</p>
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<pre class="highlight"><code>filter {
# pattern matching logback pattern
grok {
match =&gt; { "message" =&gt; "%{TIMESTAMP_ISO8601:timestamp}\s+%{LOGLEVEL:severity}\s+\[%{DATA:service},%{DATA:trace},%{DATA:span},%{DATA:exportable}\]\s+%{DATA:pid}---\s+\[%{DATA:thread}\]\s+%{DATA:class}\s+:\s+%{GREEDYDATA:rest}" }
}
}</code></pre>
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<div class="title">Note</div>
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If you want to use Grok together with the logs from Cloud Foundry you have to use this pattern:
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<pre class="highlight"><code>filter {
# pattern matching logback pattern
grok {
match =&gt; { "message" =&gt; "(?m)OUT\s+%{TIMESTAMP_ISO8601:timestamp}\s+%{LOGLEVEL:severity}\s+\[%{DATA:service},%{DATA:trace},%{DATA:span},%{DATA:exportable}\]\s+%{DATA:pid}---\s+\[%{DATA:thread}\]\s+%{DATA:class}\s+:\s+%{GREEDYDATA:rest}" }
}
}</code></pre>
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@@ -1211,7 +1253,7 @@ the number of dropped spans will get increased.</p>
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Last updated 2016-03-03 11:19:57 CET
Last updated 2016-03-03 21:14:02 CET
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