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Work Together Effectively

Work Together Effectively. Content in the Cloud - Operations. Open Source . Monitoring in the cloud. Ishara Fernando Senior Linux Systems Administrator – Infrastructure & Security . Senior Linux Systems Administrator – Infrastructure & Security.

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Work Together Effectively

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  1. Work Together Effectively

  2. Content in the Cloud - Operations

  3. Open Source Monitoring in the cloud Ishara Fernando Senior Linux Systems Administrator – Infrastructure & Security Senior Linux Systems Administrator – Infrastructure & Security Senior Linux Systems Administrator – Infrastructure & Security Senior Linux Systems Administrator – Infrastructure & Security

  4. What’s our problem ? • Small Team • Lots of Users (All untrusted) • Lots of Systems • Lots of Logs • Lots of workload on Systems • Lots of performance bottlenecks • Lots of performance metrics to monitor

  5. How to overcome ? Monitoring Logs Monitoring Performance Collectd Graphite Database (eg: PSQL) Grafana Dashboard • Logstash • Redis • Elasticsearch • Kibana Dashboard

  6. Software – Log Monitoring

  7. Log Monitoring software : What it does • Logstash –Collects ,Stores and Parses logs • Redis - Message broker • Eleasticsearch - Search Server • Kibana - Provides nice visualization for Elasticsearch , could be served on Nginx/Apache

  8. Data Sources - Logstash Logstash forwarders • Linux/Unix Syslog • Windows Event Log • Packet captures (Eg: tcpdump pcap files) • SNMP traps

  9. Software – Log Monitoring

  10. Logstash configuration • input {    file {#Alfresco Audit Syslog File        path => [ "/var/log/audit.log" ]    } • filter {    grok {#Regex expression to filter logs which needs to be sent to elasticsearch         type => "alfresco"        match => [ "message", "%{SYSLOGTIMESTAMP} (?:%{SYSLOGHOST} )?%{DATA}: %{GREEDYDATA:data}" ]    } • output {#Output to elasticsearch elasticsearch_http {       host => localhost       port => 9200    } 

  11. Logstash / Elasticsearch in the Cloud Infrastructure

  12. Log Analysis – Kibana Dashboard

  13. AWS – Elasticsearch & Kibana • We can use the elasticsearch managed service provided by AWS which will be ease : • Administration • Scalable • To integrate with logstash & Kibana • Highly secure

  14. Performance monitoring Software – What it does • Collectd – Collects system performance statistics inorder to send it to carbon-cache • Graphite – 3 components • Carbon-cache – Network service which Listens for incoming metrics in a buffer/cache • Whisper - Stores time series data (RRD format) • Graphite webapp – Renders graphs • Database (Eg: Postgresql) – Stores user info , permissions,graph and dashboard configurations • Grafana – Graphite data displayed with customized cool graphs (Could be served on Nginx/Apache)

  15. Graphite in the Cloud Infrastructure

  16. Data Sources - Graphite • By default Collectd sends data to graphite such as : • CPU • Network • Memory • Disk • Processes • ‘Collectd’ can be used to monitor performance/workload of : • Databases such as MySQL , Postgresql • Java based applications (Eg: Tomcat) by sending JMX related data (Eg : Heapmemory / Non heap memory usage , busythreads , etc)

  17. Collectd Configuration for JMX cat collectd.conf LoadPlugin java <Plugin "GenericJMX"> <MBean "classes"> <Value> Type "jmx_memory” Table true Attribute "HeapMemoryUsage" InstancePrefix "heap-" </Value> </MBean>

  18. Performance Analysis – Grafana Dashboard(Output of JMX data)

  19. Solr Memory/Load Usage displayed in Grafana

  20. Grafana with AWS Cloudwatch Grafana ships with built in support for AWS cloudwatch Authentication & Authorization from Grafana to AWS cloudwatch is handled by AWS access & secret keys The keys are stored under $GRAFANA_HOME/.aws/credentials

  21. Grafana in AWS Cloudwatch

  22. Summary • Real-time centralized logs from many sources • Real-time suspicious & intrusion logs • Logs can be stored for any amount of time • Logstash/Kibana can be easily deployed in cloud services such as AWS • Real-time performance monitoring metrics from many sources • Easy to identify bottlenecks • Easy to identify and co-relate any bottlenecks caused for further system performance tuning • Grafana is available for IAAS services such as in AWS which can use AWS Cloudwatch as the source of metrics

  23. Thank you

  24. Founded 2007 London& Colombo Experts in digitisation 66 People Certified Staff

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