name :
TN631G
title :
IBM Operations Analytics Log Analysis: Scalable Collection Architecture
category :
Cloud
vendor :
IBM
classroomDeliveryMethod :
Classroom IBM
descriptions :
description :
OverviewFor enterprise-level environments, IBM Operations Analytics Log Analysis needs a reliable and scalable architecture for data collection. In this course, you learn how to install and configure all of the components required for a scalable log collection architecture through lecture and hands-on exercises.AudienceThis course is useful to implementers, administrators, technical sales persons, and any others who need IBM Operations Analytics Log Analysis skills.PrerequisitesBefore taking this course, you should have the following skills:
  • Linux administration skills
  • A working knowledge of IBM Operations Analytics Log Analysis
  • Ideally, you should have working knowledge of Logstash, but this is not required
ObjectiveAfter you complete this course, you can perform the following tasks:
  • Diagram the scalable collection architecture
  • Install and configure Filebeat
  • Install and configure HAProxy
  • Install and configure Logstash receivers
  • Install and configure Kafka
  • Configure Logstash senders
  • Configure Log Analysis data sources
  • Install and configure the Log File Agent
  • Support multi-line logs
  • Consolidate physical data sources
  • Troubleshoot the scalable collection architecture
Course OutlineOverview
Filebeat, HAProxy, and Logstash receivers
Kafka
Logstash senders and Log Analysis core
Using the Log File Agent
Multiline logs
Log consolidation
Troubleshooting
overview :
[For enterprise-level environments, IBM Operations Analytics Log Analysis needs a reliable and scalable architecture for data collection. In this course, you learn how to install and configure all of the components required for a scalable log collection architecture through lecture and hands-on exercises.]
abstract :
For enterprise-level environments, IBM Operations Analytics Log Analysis needs a reliable and scalable architecture for data collection. In this course, you learn how to install and configure all of the components required for a scalable log collection architecture through lecture and hands-on exercises.
prerequisits :
objective :
Overview For enterprise-level environments, IBM Operations Analytics Log Analysis needs a reliable and scalable architecture for data collection. In this course, you learn how to install and configure all of the components required for a scalable log collection architecture through lecture and hands-on exercises. Audience This course is useful to implementers, administrators, technical sales persons, and any others who need IBM Operations Analytics Log Analysis skills. Prerequisites Before taking this course, you should have the following skills:
  • Linux administration skills
  • A working knowledge of IBM Operations Analytics Log Analysis
  • Ideally, you should have working knowledge of Logstash, but this is not required
Objective After you complete this course, you can perform the following tasks:
  • Diagram the scalable collection architecture
  • Install and configure Filebeat
  • Install and configure HAProxy
  • Install and configure Logstash receivers
  • Install and configure Kafka
  • Configure Logstash senders
  • Configure Log Analysis data sources
  • Install and configure the Log File Agent
  • Support multi-line logs
  • Consolidate physical data sources
  • Troubleshoot the scalable collection architecture
topic :
Course OutlineOverview
Filebeat, HAProxy, and Logstash receivers
Kafka
Logstash senders and Log Analysis core
Using the Log File Agent
Multiline logs
Log consolidation
Troubleshooting
startDate :
2019-04-18T22:35:32Z
endDate :
2019-11-30T00:00:00Z
lastModified :
2019-04-18T08:00:29Z
created :
2016-08-18T08:00:33Z
duration :
3
durationUnit :
DAYS
listPrice :
currency :

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