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Logs Management
infrastructure
logs management
logflow
logstash
Logstash tool for managing events and logs

Logstash written in JRuby
logstash “all in one” jar file
logstash inputs -> filters -> outputs
logstash plugins
example
Inputs
eventlog, file, s3, syslog, tcp, udp, websocket, wmi

Filters
csv, dns, geoip, grok, mutate

Outputs
elasticsearch, email, exec, mongodb, rabbitmq, redis

http://logstash.net/docs/1.2.2/
logstash example
with puppet

=
input {
stdin{
type => “example“
}
}
logstash example
with puppet

=
output {
redis {
data_type => "list"
host => [’10.0.22.26']
key => "logstash”
}
}
logflow
redis
Redis open source, advanced key-value store

Redis buffer new logs from any type of slower parsing
logflow
logflow
logstash example
with puppet

=
input {
syslog {
port => 5544
type => "hapr"
}
}
log4net example
logflow
logstash example
with puppet

=
output {
elasticsearch {
cluster => "logs”
embedded => false
index => "%{type}-%{+YYYY.MM.dd}”
node_name => "logstash_output"
}
}
logflow
elasticsearch
ES distributed restful search and analytics engine

ES build on top of apache lucene
ES distributed, highly available

ES document oriented, schema free
ES restfull api
elasticsearch
Data Structure
Index

shards

replica

http://stackoverflow.com/questions/15694724/shards-and-replicas-in-elasticsearch
elasticsearch
Data Structure
Index

shards

replica

http://stackoverflow.com/questions/15694724/shards-and-replicas-in-elasticsearch
elasticsearch
Data Structure
Index

shards

replica

http://stackoverflow.com/questions/15694724/shards-and-replicas-in-elasticsearch
elasticsearch
Demo

http://logs.adform.com:9200/_plugin/bigdesk
http://logs.adform.com:9200/_plugin/paramedic/
logflow
kibana 3
kibana: HTML + JavaScript
kibana: analytics and search interface to timestamped data sets stored in
ElasticSearch
kibana: browser connects directly to

ElasticSearch
kibana 3
http://logs.adform.com/kibana
logflow
logflow
logflow
statsD
statsD: NodeJS daemon
statsD: extarcts metrics data and flushes to backend
statsD: counters, timers, gouges

timers example:
450
120
553
994
334
844
675
496

=>

mean_90 496
upper_90 844
sum_90 3472
upper 994
lower 120
count 8
sum 4466
mean 558.2

http://blog.pkhamre.com/2012/07/24/understanding-statsd-and-graphite/
statsD
clients
.NET 4.0 : https://github.com/robbihun/NStatsD.Client
C#: https://github.com/goncalopereira/statsd-csharp-client

.NET: https://github.com/peschuster/graphite-client
.NET 3.5 – 4.5: http://www.nuget.org/packages/StatsdCsharpClient/

https://github.com/etsy/statsd/wiki
statsD
example
NStatsD.Client.Current.Increment("testing.increment");
NStatsD.Client.Current.Decrement("testing.decrement");
NStatsD.Client.Current.Timing("testing.timing", 2345);
NStatsD.Client.Current.Gauge("testing.gauge", 45);

https://github.com/robbihun/NStatsD.Client
logflow
graphite
graphite: highly scalable real-time graphing system
graphite: good when you don’t know the names metrics
graphite
web

DEMO
graphite
clients
.NET: https://github.com/peschuster/graphite-client
•
•
•
•
•

WCF
MSBuild
ELMAH
SQL Server
PerfCounterMonitor.exe (Graphite.System)
• Performance counters
• Event log
• IIS Application Pools (with)
what's next
what's next

LEARN!!!
what's next
dashboards

http://techblog.netflix.com/2012/12/hystrix-dashboard-and-turbine.html
http://shopify.github.io/dashing/#widgets
http://fdietz.github.io/team_dashboard/
Logs management

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Logs management

Editor's Notes

  1. Internal to logstash, events are passed from each phase using internal queues. It is implemented with a 'SizedQueue' in Ruby. SizedQueue allows a bounded maximum of items in the queue such that any writes to the queue will block if the queue is full at maximum capacity.Logstash sets each queue size to 20. This means only 20 events can be pending into the next phase - this helps reduce any data loss and in general avoids logstash trying to act as a data storage system. These internal queues are not for storing messages long-term.
  2. what kind of logs you can get (inputs), how you can transform them (filters), and where you can throw them (outputs)
  3. listens for messages on a UDP port.It parses the messages, extracts metrics data, and periodically flushes the data to one or more pluggable backend services
  4. listens for messages on a UDP port.It parses the messages, extracts metrics data, and periodically flushes the data to one or more pluggable backend services