EncartaLabs

IBM Operations Analytics Log Analysis - Scalable Collection Architecture

( Duration: 3 Days )

In IBM Operations Analytics Log Analysis - Scalable Collection Architecture training 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.

By attending IBM Operations Analytics Log Analysis - Scalable Collection Architecture workshop, attendees will learn to:

  • Understand 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

  • Linux administration skills.
  • A working knowledge of IBM Operations Analytics Log Analysis
  • Working knowledge of Logstash, will be helpful

This course is useful to implementers, administrators, technical sales persons, and any others who need IBM Operations Analytics Log Analysis skills.

COURSE AGENDA

1

Overview

2

Filebeat, HAProxy, and Logstash receivers

3

Kafka

4

Logstash senders and Log Analysis core

5

Using the Log File Agent

6

Multiline logs

7

Log consolidation

8

Troubleshooting

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 4,000 Modules on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting http://encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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