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Graylog for OpenStack :
3 steps to know WHY
MediTech JSC
https://meditech.vn
Private Cloud
Storage
Monitor
Logging
Managed Services
About me
Dinh Van Manh
● System Integration Department in MediTechJSC
● Member of Hocchudong
● Interested in OpenStack, Linux, Monitoring, Logging
and new technology
● Habbit : “tra da + thuoc lao” with friends
Agenda
1. Log Overview
1.1. Logs : What & Where?
1.2. Why look at Logs
1.3. How to use Logs effectively
2. Log in OpenStack
2.1. OpenStack log statistics
2.2. OpenStack Log Management : in imagionation & in fact
3. Graylog for OpenStack
3.1. Introduce about Graylog
3.2. Key features
3.3. Architecture/Mechanism/Model of Graylog
3.4. Graylog for OpenStack: 3 steps to know WHY?
4. Demo + Q.A
Log Overview
What? Where? Why? How?
1.1. Logs : What & Where
What logs? (from the view of system
administrator)
● System event diary
● System status records
● User activities
● Incident notify
Log format
1.1. Logs : What & Where
Log come from WHERE?
● Storage devices
● Application in Linux/Windows
● Cloud Services : OpenStack
● Servers
● Firewalls
● Routers, switches
1.2. Why look at Logs?
Basically :
Incident response
higher
Tracking system event
higher
Measuring security : metrics, trends…
higher and higher
Situational awareness
New threat discovery
Estimating about user habit, trends...
1.3. How to use Logs effectively
Level 1 : Just SSH and view !
● Understanding log location
● Command to view log : tail, more, grep
● Filtering by keyword
Level 2 : Use Syslog
● Collect syslog from client
● Store in log server
Level 3 : Log management Software
● Collect everything
● Retain most everything
● Analyze enough
● Summarize and report
● Advance features : visualize, alert, share...
1.3. How to use Logs effectively
● Facility
○ Application Logs
○ Event Logs
○ Service Logs
○ System Logs
Log Keywords
● Severity
○ 0 - emerg
○ 1 - alert
○ 2 - crit
○ 3 - error
○ 4 - warn
○ 5 - notice
○ 6 - info
○ 7 - debug
● Rotention
○ Time to rotate log
● Retention
○ Delete, archive...log
● Syslog
○ protocol to transfer log
Log in OpenStack
Which level is appropriate?
2.1. OpenStack log statistics
OpenStack System : 3 Controller + 30 Compute
node
● Controller Node
○ 6 log folder per OpenStack service
○ system log : auth, dmesg, kernel…
○ application log : apache, haproxy,
pacemaker…
● Compute Node
○ 2 log folder per OpenStack service
○ system log : auth, dmes, kernel…
○ application log : libvirt
○ log of instances
=> Total :
● ~ 220 log file
● 10 GB log = 30 million messages / day
2.2. OpenStack log management : in imagionation & in fact
Communication think Colleagues think In fact
When i said : My job is OpenStack log management !
So Waste !!! What should we do?
Graylog for OpenStack:
To infinity & beyond !
3.1. Graylog Introduce
● Log centralized management software
● Released in 2010 by Lenart Koopman with name is Graylog2
● In 1/2015 release Graylog v1., Graylog Inc was established
● Big change from Graylog version 2.0
● Newest version is Graylog 2.3.1, stable version is Graylog 2.3.0
3.2. Key features
Various Input & Output Analyze & Search
Visualize metricAlert & Trigger User management
3.3. Architecture/Mechanism/Model of Graylog
Overall architecture
● Server
○ Graylog
● Client
○ Client host
○ Graylog sidecar
○ Nxlog/Filebeat
Filebeat
Graylog Sidecar : Break the
old path
● Configuration management
system
● Config in client host only
ONCE !
● All in Web
● Secure with SSL/TLS
3.3. Architecture/Mechanism/Model of Graylog
Sidecar Work-flow : Easy config in 3 steps
Step 1 : Config in client
● install sidecar
● declare : graylog ip, client hostname, tags
● start service
Step 2 : Config in Graylog Web
● add tags
● chose what logs you want to collect
Step 3 : Checking
● Check colleted log
3.3. Architecture/Mechanism/Model of Graylog
Deep dive in architecture
Graylog Server
● receive log message
● execute log
● communicate with other components
Elasticsearch
● store log message
● search engine
MongoDB
● store meta infomation
● store config data
3.3. Architecture/Mechanism/Model of Graylog
Log execute processing
Step 1 :
● Spooling & store in disk temporarily
● Prepare for buffer process
Step 2 :
● Messages from disk go in to Input Buffer
● Mission : Filter, classify messages
Step 3 :
● Messages go in to Output Buffer
● Onward to Elasticsearch or user defined
output
3.3. Architecture/Mechanism/Model of Graylog
Elasticsearch & Graylog
● Clustering
● Use API to communicate
● Use unicast-discovery to recogize other nodes
● Graylog as a Master Node
MongoDB & Graylog
● Client - Server mechanism
● Graylog use driver to communicate with MongoDB
Internal Graylog components mechanisms
3.3. Architecture/Mechanism/Model of Graylog
None HA - Small production HA - Bigger Production
Code show you HOW !
Log show you WHY !
3.4. Graylog for OpenStack : 3 steps to know WHY?
Just 3 steps to exploiting log in OpenStack
3.4. Graylog for OpenStack : 3 steps to know WHY?
What should i do when instance spawning fail
A. Try to spawn again B. Blame for customer
D. Bug again! I’m quit ! C. Take a search in Graylog
Incident Response
Problem appear ! What should we do?
3.4. Graylog for OpenStack : 3 steps to know WHY?
Step 1 : Collect logs
Take log from :
● nova log
● neutron log
● cinder log
● glance log
Step 2 : Analyze
Make a search in Graylog :
Syntax : instance id + ERROR
Step 3 : Now you know WHY
Just solve the problem & Go to sleep !
3.4. Graylog for OpenStack : 3 steps to know WHY?
Tracking a event
My instances was rebooted last night ??? When?
3.4. Graylog for OpenStack : 3 steps to know WHY?
Measuring metric
DEMO & Q.A
Bonus : Graylog vs ELK
Graylog is coming the closest to the Splunk architecture !
VS
Thank you !
ManhDV
manh.dinhvan@meditech.vn
https://meditech.vn/
https://github.com/hocchudong

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Graylog for open stack 3 steps to know why

  • 1. Graylog for OpenStack : 3 steps to know WHY
  • 2. MediTech JSC https://meditech.vn Private Cloud Storage Monitor Logging Managed Services About me Dinh Van Manh ● System Integration Department in MediTechJSC ● Member of Hocchudong ● Interested in OpenStack, Linux, Monitoring, Logging and new technology ● Habbit : “tra da + thuoc lao” with friends
  • 3. Agenda 1. Log Overview 1.1. Logs : What & Where? 1.2. Why look at Logs 1.3. How to use Logs effectively 2. Log in OpenStack 2.1. OpenStack log statistics 2.2. OpenStack Log Management : in imagionation & in fact 3. Graylog for OpenStack 3.1. Introduce about Graylog 3.2. Key features 3.3. Architecture/Mechanism/Model of Graylog 3.4. Graylog for OpenStack: 3 steps to know WHY? 4. Demo + Q.A
  • 5. 1.1. Logs : What & Where What logs? (from the view of system administrator) ● System event diary ● System status records ● User activities ● Incident notify Log format
  • 6. 1.1. Logs : What & Where Log come from WHERE? ● Storage devices ● Application in Linux/Windows ● Cloud Services : OpenStack ● Servers ● Firewalls ● Routers, switches
  • 7. 1.2. Why look at Logs? Basically : Incident response higher Tracking system event higher Measuring security : metrics, trends… higher and higher Situational awareness New threat discovery Estimating about user habit, trends...
  • 8. 1.3. How to use Logs effectively Level 1 : Just SSH and view ! ● Understanding log location ● Command to view log : tail, more, grep ● Filtering by keyword Level 2 : Use Syslog ● Collect syslog from client ● Store in log server Level 3 : Log management Software ● Collect everything ● Retain most everything ● Analyze enough ● Summarize and report ● Advance features : visualize, alert, share...
  • 9. 1.3. How to use Logs effectively ● Facility ○ Application Logs ○ Event Logs ○ Service Logs ○ System Logs Log Keywords ● Severity ○ 0 - emerg ○ 1 - alert ○ 2 - crit ○ 3 - error ○ 4 - warn ○ 5 - notice ○ 6 - info ○ 7 - debug ● Rotention ○ Time to rotate log ● Retention ○ Delete, archive...log ● Syslog ○ protocol to transfer log
  • 10. Log in OpenStack Which level is appropriate?
  • 11. 2.1. OpenStack log statistics OpenStack System : 3 Controller + 30 Compute node ● Controller Node ○ 6 log folder per OpenStack service ○ system log : auth, dmesg, kernel… ○ application log : apache, haproxy, pacemaker… ● Compute Node ○ 2 log folder per OpenStack service ○ system log : auth, dmes, kernel… ○ application log : libvirt ○ log of instances => Total : ● ~ 220 log file ● 10 GB log = 30 million messages / day
  • 12. 2.2. OpenStack log management : in imagionation & in fact Communication think Colleagues think In fact When i said : My job is OpenStack log management ! So Waste !!! What should we do?
  • 13. Graylog for OpenStack: To infinity & beyond !
  • 14. 3.1. Graylog Introduce ● Log centralized management software ● Released in 2010 by Lenart Koopman with name is Graylog2 ● In 1/2015 release Graylog v1., Graylog Inc was established ● Big change from Graylog version 2.0 ● Newest version is Graylog 2.3.1, stable version is Graylog 2.3.0
  • 15. 3.2. Key features Various Input & Output Analyze & Search Visualize metricAlert & Trigger User management
  • 16. 3.3. Architecture/Mechanism/Model of Graylog Overall architecture ● Server ○ Graylog ● Client ○ Client host ○ Graylog sidecar ○ Nxlog/Filebeat Filebeat Graylog Sidecar : Break the old path ● Configuration management system ● Config in client host only ONCE ! ● All in Web ● Secure with SSL/TLS
  • 17. 3.3. Architecture/Mechanism/Model of Graylog Sidecar Work-flow : Easy config in 3 steps Step 1 : Config in client ● install sidecar ● declare : graylog ip, client hostname, tags ● start service Step 2 : Config in Graylog Web ● add tags ● chose what logs you want to collect Step 3 : Checking ● Check colleted log
  • 18. 3.3. Architecture/Mechanism/Model of Graylog Deep dive in architecture Graylog Server ● receive log message ● execute log ● communicate with other components Elasticsearch ● store log message ● search engine MongoDB ● store meta infomation ● store config data
  • 19. 3.3. Architecture/Mechanism/Model of Graylog Log execute processing Step 1 : ● Spooling & store in disk temporarily ● Prepare for buffer process Step 2 : ● Messages from disk go in to Input Buffer ● Mission : Filter, classify messages Step 3 : ● Messages go in to Output Buffer ● Onward to Elasticsearch or user defined output
  • 20. 3.3. Architecture/Mechanism/Model of Graylog Elasticsearch & Graylog ● Clustering ● Use API to communicate ● Use unicast-discovery to recogize other nodes ● Graylog as a Master Node MongoDB & Graylog ● Client - Server mechanism ● Graylog use driver to communicate with MongoDB Internal Graylog components mechanisms
  • 21. 3.3. Architecture/Mechanism/Model of Graylog None HA - Small production HA - Bigger Production
  • 22. Code show you HOW ! Log show you WHY !
  • 23. 3.4. Graylog for OpenStack : 3 steps to know WHY? Just 3 steps to exploiting log in OpenStack
  • 24. 3.4. Graylog for OpenStack : 3 steps to know WHY? What should i do when instance spawning fail A. Try to spawn again B. Blame for customer D. Bug again! I’m quit ! C. Take a search in Graylog Incident Response Problem appear ! What should we do?
  • 25. 3.4. Graylog for OpenStack : 3 steps to know WHY? Step 1 : Collect logs Take log from : ● nova log ● neutron log ● cinder log ● glance log Step 2 : Analyze Make a search in Graylog : Syntax : instance id + ERROR Step 3 : Now you know WHY Just solve the problem & Go to sleep !
  • 26. 3.4. Graylog for OpenStack : 3 steps to know WHY? Tracking a event My instances was rebooted last night ??? When?
  • 27. 3.4. Graylog for OpenStack : 3 steps to know WHY? Measuring metric
  • 29. Bonus : Graylog vs ELK Graylog is coming the closest to the Splunk architecture ! VS