- Small gathering at Chez McDonnell, to celebrate how far we've come in the last year.
- The project has taken on a life of its own.
- Regularly getting mentioned on twitter, in a completely organic way.
- Found two examples (Ubuntu server and ATS mailing lists) where people are using OpsSchool as examples on how to do documentation well! Where did this come from?!
- Some stats, from Google Analytics for ~Q4, compared to ~Q3:
- Average visit duration is up (3mins, vs 2mins 18secs).
- Pages per visit is up (3, vs 2.5).
- Unique visitors is down (7.3k vs 11.2k) but this is OK! We had a huge spike in July which threw this off. Otherwise this is more comparable.
- A lot of traffic is "direct" (probably things like the Devops newsletter, etc), followed closely by Google, then twitter, reddit and my blog post on "So y ou want to be a systems administrator?" (which should have read "operations engineer", but the old title is familiar to people).
- Popular pages are the introduction followed by "sysadmin 101"
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package main | |
import ( | |
"bufio" | |
"fmt" | |
"github.com/saintienn/go-spamc" | |
"io/ioutil" | |
"log" | |
"os" | |
) |
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### Keybase proof | |
I hereby claim: | |
* I am avleen on github. | |
* I am avleen (https://keybase.io/avleen) on keybase. | |
* I have a public key whose fingerprint is 1ABD 5DE1 7C47 21B5 4B71 AEC7 F262 CCCC 12B5 B5BD | |
To claim this, I am signing this object: |
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{ | |
"template": "logstash-*", | |
"settings" : { | |
"number_of_shards" : 180, | |
"number_of_replicas" : 1, | |
"index.refresh_interval" : "5s", | |
"index.routing.allocation.total_shards_per_node" : 4, | |
"index.search.slowlog.threshold.query.warn": "100ms", | |
"index.search.slowlog.threshold.fetch.warn": "100ms", |
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A multi-threaded process which listens on port 80 for connections from yum, apt, npm, gem, etc. | |
It recognises the kind of request made (yum, apt, npm, gem) automatically and responds accordingly. | |
If a requested package is available locally, it is served. | |
If not, it is fetched from a configured list of upstream servers, cached and served. | |
On a regular basis, the process retreives a package list (eg, Repodata.xml) from its upstream servers, | |
and merges it with a list of local packages. | |
Users provide mappings for where to point for each repo (eg: cent 7, cent 7 updates, npm, etc). Eg: |
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--- date.rb.orig 2015-05-05 10:38:49.000000000 +0000 | |
+++ date.rb 2015-05-05 09:55:45.000000000 +0000 | |
@@ -87,6 +87,15 @@ | |
# default to updating the @timestamp field of the event. | |
config :target, :validate => :string, :default => "@timestamp" | |
+ # A date range within which we accept timestamps to be legitimate. | |
+ # If we get a timestamp outside +/- this many days, it gets written to the | |
+ # trash index. | |
+ config :daterange, :validate => :number, :default => 1 |
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"dynamic_templates": [ | |
{ | |
"long_template" : { | |
"match" : "l_*", | |
"mapping" : { "type" : "long", "index" : "not_analyzed" } | |
} | |
}, | |
{ | |
"double_template" : { | |
"match" : "d_*", |
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{ | |
"template": "logstash-*", | |
"settings" : { | |
"number_of_shards" : 24, | |
"number_of_replicas" : 1, | |
"index.refresh_interval" : "5s", | |
"index.routing.allocation.total_shards_per_node" : 1, | |
"index.search.slowlog.threshold.query.warn": "10s", | |
"index.query.default_field" : "message", | |
"analysis" : { |
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"<generator" daemon prio=10 tid=0x00007f4bc0088000 nid=0x72f4 runnable [0x00007f4c5435c000] | |
java.lang.Thread.State: RUNNABLE | |
at org.jruby.ast.NewlineNode.interpret(NewlineNode.java:105) | |
at org.jruby.ast.BlockNode.interpret(BlockNode.java:71) | |
at org.jruby.evaluator.ASTInterpreter.INTERPRET_BLOCK(ASTInterpreter.java:112) | |
at org.jruby.runtime.Interpreted19Block.evalBlockBody(Interpreted19Block.java:206) | |
at org.jruby.runtime.Interpreted19Block.yield(Interpreted19Block.java:194) | |
at org.jruby.runtime.Interpreted19Block.call(Interpreted19Block.java:125) | |
at org.jruby.runtime.Block.call(Block.java:101) | |
at org.jruby.RubyProc.call(RubyProc.java:290) |
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{ "comment": " | |
## We have a lot of data (~2Tb/day), and ~12 ES nodes, so we set the number of | |
## shards to 10, to distribute the logs roughly evenly. If you have less data, | |
## use fewer shards. | |
## It doesn't really make sense to have more shards, than you have servers. | |
## | |
## The index.routing.allocation.require.tag is used internally to make new | |
## indices on fast hardware. We run a nightly cron which moves older indices | |
## to slower hardware: https://gist.github.com/avleen/ecfb48f49d260b25e45e | |
## |
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