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Logstash-Elasticsearch-Kibana
How to manage logs
E. Witthauer
November 28, 2015
Why logging
• Debugging
Why logging
• Debugging
• Metrics
Why logging
• Debugging
• Metrics
• Monitoring
Old style
• Tail: ssh example.org > tail -f /var/log/some.log
Old style
• Tail: ssh example.org > tail -f /var/log/some.log
• Tools for multiple les: like multitail
Old style
• Tail: ssh example.org  tail -f /var/log/some.log
• Tools for multiple les: like multitail
• Run command synchron in multiple ssh sessions
Old style
• Tail: ssh example.org  tail -f /var/log/some.log
• Tools for multiple les: like multitail
• Run command synchron in multiple ssh sessions
But for more than one le/server or autmatic statistics:
Old style
• Tail: ssh example.org  tail -f /var/log/some.log
• Tools for multiple les: like multitail
• Run command synchron in multiple ssh sessions
But for more than one le/server or autmatic statistics:
Better style
Better all in one place with option to later analysis
The ELK-Stack
E lasticsearch - Searchserver for indexing
the data (NoSQL-DB)
The ELK-Stack
E lasticsearch - Searchserver for indexing
the data (NoSQL-DB)
L ogstash - Log data processor for
transform and lter the data
The ELK-Stack
E lasticsearch - Searchserver for indexing
the data (NoSQL-DB)
L ogstash - Log data processor for
transform and lter the data
K ibana - WebUI for data visualisation and
analysis (node.js based)
The infrastructure
1. Read the logs and put them into a Redis-DB
2. Read from Redis-DB, lter and put into Elasticsearch
The infrastructure
Why 2 steps?
• Logs will be read even if Elasticsearch is not active
The infrastructure
Why 2 steps?
• Logs will be read even if Elasticsearch is not active
• Monitor Redis to see how many events are there (e.g. per
second)
The infrastructure
Why 2 steps?
• Logs will be read even if Elasticsearch is not active
• Monitor Redis to see how many events are there (e.g. per
second)
• Check the event format if we have some index problems (e.g.
wrong eld value or tag)
Setup
Logstash
• Install Java (1.9)
Setup
Logstash
• Install Java (1.9)
• Download Logstash from
https://www.elastic.co/downloads/logstash
Setup
Logstash
• Install Java (1.9)
• Download Logstash from
https://www.elastic.co/downloads/logstash
• Extract the zip le
Setup
Logstash
• Install Java (1.9)
• Download Logstash from
https://www.elastic.co/downloads/logstash
• Extract the zip le
• Run it: bin/logstash -f logstash.conf (see cong le below)
Setup
Logstash
• Install Java (1.9)
• Download Logstash from
https://www.elastic.co/downloads/logstash
• Extract the zip le
• Run it: bin/logstash -f logstash.conf (see cong le below)
• Or install the deb package and run it
Setup
Redis
• Install Redis from your repository system
Setup
Elasticsearch
• Install Java (1.9) if not done yet
Setup
Elasticsearch
• Install Java (1.9) if not done yet
• Download Elasticsearch from
https://www.elastic.co/downloads/elasticsearch
Setup
Elasticsearch
• Install Java (1.9) if not done yet
• Download Elasticsearch from
https://www.elastic.co/downloads/elasticsearch
• Extract the zip le
Setup
Elasticsearch
• Install Java (1.9) if not done yet
• Download Elasticsearch from
https://www.elastic.co/downloads/elasticsearch
• Extract the zip le
• Run it: bin/elasticsearch
Setup
Elasticsearch
• Install Java (1.9) if not done yet
• Download Elasticsearch from
https://www.elastic.co/downloads/elasticsearch
• Extract the zip le
• Run it: bin/elasticsearch
• Or install the deb package and run it
Setup
Kibana
• Install Java (1.9) if not done yet
Setup
Kibana
• Install Java (1.9) if not done yet
• Download Kibana from
https://www.elastic.co/downloads/kibana
Setup
Kibana
• Install Java (1.9) if not done yet
• Download Kibana from
https://www.elastic.co/downloads/kibana
• Extract the zip le
Setup
Kibana
• Install Java (1.9) if not done yet
• Download Kibana from
https://www.elastic.co/downloads/kibana
• Extract the zip le
• Open cong/kibana.yml in editor
• Set the elasticsearch.url to point at your Elasticsearch instance
(e.g. loclhost or 1270.0.1)
• Run it: bin/kibana
• Open url http://yourhost.com:5601
Cong
Shipper
For the Shipper we create a cong le:
1 input {
2 f i l e {
3 path = / var / log / apache2 /∗ access ∗. log 
4 s t a r t _ p o s i t i o n = beginning
5 type = apache
6 sincedb_path = / opt /. sincedb_apache_access 
7 }
8 }
9 output {
10 r e d i s {
11 host =  1 2 7 . 0 . 0 . 1 
12 data_type =  l i s t 
13 key =  l o g s t a s h 
14 }
15 }
Cong
Shipper explained
input {...} Conguration for our input
le {...} Species a le input (all apache access log les)
path Path to our log les (regex)
start_position We start reading the le from the beginning
type adds a eld type with value apache to the output
sincedb_path Path to the internal database that sores the last
reading position in this le(s)
output {...} Conguration for our ouput
redis {...} Conguration for redis output
host Redis host address
data_type Specied that we store the events as a list in redis
key Name of our redis list
Cong
Indexer
For the Shipper we create a cong le:
1 input {
2 r e d i s {
3 host =  1 2 7 . 0 . 0 . 1 
4 type =  r e d i s −input 
5 data_type =  l i s t 
6 key =  l o g s t a s h 
7 }
8 }
9 f i l t e r {
10 i f [ path ] =~  access  { ANALYSE APACHE ACCESS }
11 e l s e i f [ path ] =~  e r r o r  { ANALYSE APACHE ERROR }
12 e l s e i f [ type ] ==  s y s l o g  { ANALYSE SYSLOG }
13 e l s e i f [ type ] ==  auth  { ANALYSE AUTH LOG }
14 }
15 output {
16 e l a s t i c s e a r c h { }
17 }
Cong
Indexer explained
input {...} Conguration for our input
redis {...} Conguration for redis input
host Redis host address
type adds a eld type with value redis-list to the
output
data_type Specied that we store the events as a list in redis
key Name of our redis list)
lter {...} Our lter for the dierent events (syslog, apache
error, apache access, auth)
if path|type Separate lter congurations for our events (see later)
output {...} Conguration for elasticsearch output
elasticsearch{ } Default conguration for elasticsearch (localhost,
no further conguration needed)
Cong - Indexer
Apache Access Filter
The Apache Access Filter:
1 mutate {
2 r e p l a c e = { type =  apache_access  }
3 remove_tag = [  _ g r o k p a r s e f a i l u r e  ]
4 remove_field = [  tags  ,  tag  ,  path  ]
5 }
6 grok {
7 patterns_dir = / opt / grok_patterns 
8 match = { message = %{VHOSTCOMBINEDAPACHELOG} }
9 }
10 date {
11 match = [  timestamp  , dd/MMM/ yyyy :HH:mm: ss Z ]
12 }
13 geoip {
14 source =  c l i e n t i p 
15 }
16 useragent {
17 source =  agent 
18 }
Cong - Indexer
Apache Access Filter
mutate {...} Change eld values
replace Replace value of eld type with apache_access
remove_tag List of tags to be removed
remove_eld List of eld to be removed
grok {...} Parese text and structure it
pattern_dir Path to our pattern les, if we don't use the internal
ones
match Field and pattern for matching
date {...} Analyse the timestamp eld
geoip Analyse the eld clientip with geoip (city, region,
ip, etc.)
useragent Analyse the eld agent as browser user agent (OS,
Major- and Minor-version browsername, etc.)
Cong - Indexer
Apache Error Filter
The Apache Access Filter:
1 grok {
2 patterns_dir = / opt / grok_patterns 
3 match = { message = %{APACHERERROR} }
4 }
5 m u l t i l i n e {
6 pattern = ^PHP b( Notice | Warning | Error | Fatal )b : 
7 s o u r c e =  errorMessage 
8 what =  next 
9 }
10 m u l t i l i n e {
11 pattern = ^PHP[ ]{3 ,} d+. .∗ 
12 s o u r c e =  errorMessage 
13 what =  p r e v i o u s 
14 }
15 mutate {
16 r e p l a c e = { type =  apache_error  }
17 r e p l a c e = { message = %{errorMessage } }
18 . . .
19 }
20 geoip {
21 s o u r c e =  c l i e n t I p 
22 }
23 i f [ request ] == / feed  {
24 drop {}
25 }
Cong - Indexer
Apache Error Filter
grok {...} Parese text and structure it
pattern_dir Path to our pattern les
match Field and pattern for matching
multiline{...} Detect if we have a multiline message
pattern The detection pattern
source The eld for detection
what How to handle it (next =combine with next/previous
message)
mutate {...} Change eld values
replace Replace value of eld type with apache_error
and message with value of errorMessage
geoip Analyse the eld clientip with geoip
request if the eld request has the value /feed drop it,
we don't need it anymore
Cong - Indexer
Syslog/Auth Filter
The Apache Access Filter:
1 grok {
2 match = { message = %{SYSLOGT} }
3 add_field = [  received_at  , %{@timestamp} ]
4 }
5 s y s l o g _ p r i { }}
Cong - Indexer
Syslog/Auth Filter
grok {...} Parese text and structure it
pattern_dir Path to our pattern les
match Field and pattern for matching
add_eld add an additional eld
syslog_prio {...} Handle syslog priority levels
Conclusion
• With these cong le and two running logstash instances we
have the log in elasticsearch
Conclusion
• With these cong le and two running logstash instances we
have the log in elasticsearch
• Kibana can be used for graphs and analyses
Kibana
Combined apache error entry
Kibana
Access graph
Kibana
Access cities, browser and devices
End
That's all
For more infos just search for Kibana, Logstash or Elasticsearch

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Logstash-Elasticsearch-Kibana

  • 1. Logstash-Elasticsearch-Kibana How to manage logs E. Witthauer November 28, 2015
  • 4. Why logging • Debugging • Metrics • Monitoring
  • 5. Old style • Tail: ssh example.org > tail -f /var/log/some.log
  • 6. Old style • Tail: ssh example.org > tail -f /var/log/some.log • Tools for multiple les: like multitail
  • 7. Old style • Tail: ssh example.org tail -f /var/log/some.log • Tools for multiple les: like multitail • Run command synchron in multiple ssh sessions
  • 8. Old style • Tail: ssh example.org tail -f /var/log/some.log • Tools for multiple les: like multitail • Run command synchron in multiple ssh sessions But for more than one le/server or autmatic statistics:
  • 9. Old style • Tail: ssh example.org tail -f /var/log/some.log • Tools for multiple les: like multitail • Run command synchron in multiple ssh sessions But for more than one le/server or autmatic statistics:
  • 10. Better style Better all in one place with option to later analysis
  • 11. The ELK-Stack E lasticsearch - Searchserver for indexing the data (NoSQL-DB)
  • 12. The ELK-Stack E lasticsearch - Searchserver for indexing the data (NoSQL-DB) L ogstash - Log data processor for transform and lter the data
  • 13. The ELK-Stack E lasticsearch - Searchserver for indexing the data (NoSQL-DB) L ogstash - Log data processor for transform and lter the data K ibana - WebUI for data visualisation and analysis (node.js based)
  • 14. The infrastructure 1. Read the logs and put them into a Redis-DB 2. Read from Redis-DB, lter and put into Elasticsearch
  • 15. The infrastructure Why 2 steps? • Logs will be read even if Elasticsearch is not active
  • 16. The infrastructure Why 2 steps? • Logs will be read even if Elasticsearch is not active • Monitor Redis to see how many events are there (e.g. per second)
  • 17. The infrastructure Why 2 steps? • Logs will be read even if Elasticsearch is not active • Monitor Redis to see how many events are there (e.g. per second) • Check the event format if we have some index problems (e.g. wrong eld value or tag)
  • 19. Setup Logstash • Install Java (1.9) • Download Logstash from https://www.elastic.co/downloads/logstash
  • 20. Setup Logstash • Install Java (1.9) • Download Logstash from https://www.elastic.co/downloads/logstash • Extract the zip le
  • 21. Setup Logstash • Install Java (1.9) • Download Logstash from https://www.elastic.co/downloads/logstash • Extract the zip le • Run it: bin/logstash -f logstash.conf (see cong le below)
  • 22. Setup Logstash • Install Java (1.9) • Download Logstash from https://www.elastic.co/downloads/logstash • Extract the zip le • Run it: bin/logstash -f logstash.conf (see cong le below) • Or install the deb package and run it
  • 23. Setup Redis • Install Redis from your repository system
  • 24. Setup Elasticsearch • Install Java (1.9) if not done yet
  • 25. Setup Elasticsearch • Install Java (1.9) if not done yet • Download Elasticsearch from https://www.elastic.co/downloads/elasticsearch
  • 26. Setup Elasticsearch • Install Java (1.9) if not done yet • Download Elasticsearch from https://www.elastic.co/downloads/elasticsearch • Extract the zip le
  • 27. Setup Elasticsearch • Install Java (1.9) if not done yet • Download Elasticsearch from https://www.elastic.co/downloads/elasticsearch • Extract the zip le • Run it: bin/elasticsearch
  • 28. Setup Elasticsearch • Install Java (1.9) if not done yet • Download Elasticsearch from https://www.elastic.co/downloads/elasticsearch • Extract the zip le • Run it: bin/elasticsearch • Or install the deb package and run it
  • 29. Setup Kibana • Install Java (1.9) if not done yet
  • 30. Setup Kibana • Install Java (1.9) if not done yet • Download Kibana from https://www.elastic.co/downloads/kibana
  • 31. Setup Kibana • Install Java (1.9) if not done yet • Download Kibana from https://www.elastic.co/downloads/kibana • Extract the zip le
  • 32. Setup Kibana • Install Java (1.9) if not done yet • Download Kibana from https://www.elastic.co/downloads/kibana • Extract the zip le • Open cong/kibana.yml in editor • Set the elasticsearch.url to point at your Elasticsearch instance (e.g. loclhost or 1270.0.1) • Run it: bin/kibana • Open url http://yourhost.com:5601
  • 33. Cong Shipper For the Shipper we create a cong le: 1 input { 2 f i l e { 3 path = / var / log / apache2 /∗ access ∗. log 4 s t a r t _ p o s i t i o n = beginning 5 type = apache 6 sincedb_path = / opt /. sincedb_apache_access 7 } 8 } 9 output { 10 r e d i s { 11 host = 1 2 7 . 0 . 0 . 1 12 data_type = l i s t 13 key = l o g s t a s h 14 } 15 }
  • 34. Cong Shipper explained input {...} Conguration for our input le {...} Species a le input (all apache access log les) path Path to our log les (regex) start_position We start reading the le from the beginning type adds a eld type with value apache to the output sincedb_path Path to the internal database that sores the last reading position in this le(s) output {...} Conguration for our ouput redis {...} Conguration for redis output host Redis host address data_type Specied that we store the events as a list in redis key Name of our redis list
  • 35. Cong Indexer For the Shipper we create a cong le: 1 input { 2 r e d i s { 3 host = 1 2 7 . 0 . 0 . 1 4 type = r e d i s −input 5 data_type = l i s t 6 key = l o g s t a s h 7 } 8 } 9 f i l t e r { 10 i f [ path ] =~ access { ANALYSE APACHE ACCESS } 11 e l s e i f [ path ] =~ e r r o r { ANALYSE APACHE ERROR } 12 e l s e i f [ type ] == s y s l o g { ANALYSE SYSLOG } 13 e l s e i f [ type ] == auth { ANALYSE AUTH LOG } 14 } 15 output { 16 e l a s t i c s e a r c h { } 17 }
  • 36. Cong Indexer explained input {...} Conguration for our input redis {...} Conguration for redis input host Redis host address type adds a eld type with value redis-list to the output data_type Specied that we store the events as a list in redis key Name of our redis list) lter {...} Our lter for the dierent events (syslog, apache error, apache access, auth) if path|type Separate lter congurations for our events (see later) output {...} Conguration for elasticsearch output elasticsearch{ } Default conguration for elasticsearch (localhost, no further conguration needed)
  • 37. Cong - Indexer Apache Access Filter The Apache Access Filter: 1 mutate { 2 r e p l a c e = { type = apache_access } 3 remove_tag = [ _ g r o k p a r s e f a i l u r e ] 4 remove_field = [ tags , tag , path ] 5 } 6 grok { 7 patterns_dir = / opt / grok_patterns 8 match = { message = %{VHOSTCOMBINEDAPACHELOG} } 9 } 10 date { 11 match = [ timestamp , dd/MMM/ yyyy :HH:mm: ss Z ] 12 } 13 geoip { 14 source = c l i e n t i p 15 } 16 useragent { 17 source = agent 18 }
  • 38. Cong - Indexer Apache Access Filter mutate {...} Change eld values replace Replace value of eld type with apache_access remove_tag List of tags to be removed remove_eld List of eld to be removed grok {...} Parese text and structure it pattern_dir Path to our pattern les, if we don't use the internal ones match Field and pattern for matching date {...} Analyse the timestamp eld geoip Analyse the eld clientip with geoip (city, region, ip, etc.) useragent Analyse the eld agent as browser user agent (OS, Major- and Minor-version browsername, etc.)
  • 39. Cong - Indexer Apache Error Filter The Apache Access Filter: 1 grok { 2 patterns_dir = / opt / grok_patterns 3 match = { message = %{APACHERERROR} } 4 } 5 m u l t i l i n e { 6 pattern = ^PHP b( Notice | Warning | Error | Fatal )b : 7 s o u r c e = errorMessage 8 what = next 9 } 10 m u l t i l i n e { 11 pattern = ^PHP[ ]{3 ,} d+. .∗ 12 s o u r c e = errorMessage 13 what = p r e v i o u s 14 } 15 mutate { 16 r e p l a c e = { type = apache_error } 17 r e p l a c e = { message = %{errorMessage } } 18 . . . 19 } 20 geoip { 21 s o u r c e = c l i e n t I p 22 } 23 i f [ request ] == / feed { 24 drop {} 25 }
  • 40. Cong - Indexer Apache Error Filter grok {...} Parese text and structure it pattern_dir Path to our pattern les match Field and pattern for matching multiline{...} Detect if we have a multiline message pattern The detection pattern source The eld for detection what How to handle it (next =combine with next/previous message) mutate {...} Change eld values replace Replace value of eld type with apache_error and message with value of errorMessage geoip Analyse the eld clientip with geoip request if the eld request has the value /feed drop it, we don't need it anymore
  • 41. Cong - Indexer Syslog/Auth Filter The Apache Access Filter: 1 grok { 2 match = { message = %{SYSLOGT} } 3 add_field = [ received_at , %{@timestamp} ] 4 } 5 s y s l o g _ p r i { }}
  • 42. Cong - Indexer Syslog/Auth Filter grok {...} Parese text and structure it pattern_dir Path to our pattern les match Field and pattern for matching add_eld add an additional eld syslog_prio {...} Handle syslog priority levels
  • 43. Conclusion • With these cong le and two running logstash instances we have the log in elasticsearch
  • 44. Conclusion • With these cong le and two running logstash instances we have the log in elasticsearch • Kibana can be used for graphs and analyses
  • 48. End That's all For more infos just search for Kibana, Logstash or Elasticsearch