IT systems and applications generate more and more machine data due to millions of mobile devices, Internet of Things, social network users, and other new emerging technologies. However, organizations experience challenges when monitoring and managing their IT systems and technology infrastructure. They struggle with network and server monitoring/troubleshooting, security analysis, custom application monitoring and debugging, compliance standards, and others.
This session discusses how to solve the challenges of analyzing Terabytes and more of different log data to leverage the “digital business” – a term defined by Gartner and others to explain that IT is not just a tool to enable a business, but IT is the business.
The main part of the session compares different solutions for operational intelligence and log analytics to create “digital business”, such as Splunk, TIBCO LogLogic and the open source “ELK stack” (ElasticSearch, Logstash, Kibana).
A common use case will be demonstrated in a live demo: Monitoring, analyzing and correlating a complex E-Commerce transaction running through different custom applications such as a Java EE web application, an integration middleware and analytics processes.
The end of the session explains the distinction of the discussed solutions to Apache Hadoop, and how they can complement each other in a big data architecture.
The Codex of Business Writing Software for Real-World Solutions 2.pptx
Framework and Product Comparison for Big Data Log Analytics and ITOA
1. Big Data Log Analytics and
IT Operations Analytics (ITOA)
with Splunk, TIBCO LogLogic and the Open Source “ELK Stack”
Kai Wähner
kwaehner@tibco.com
@KaiWaehner
www.kai-waehner.de
LinkedIn / Xing Please connect!
4. Key Messages
– Log Analytics enables IT Operations Analytics for Machine Data
– Correlation of Events is the Key for Added Business Value
– Log Management is complementary to other Big Data Components
5. Agenda
– Real World Use Cases
– Introduction to Log Analytics
– Market Overview
– Live Demo
– Relation to other Big Data Components
6. Agenda
– Real World Use Cases
– Introduction to Log Analytics
– Market Overview
– Live Demo
– Relation to other Big Data Components
40. Agenda
– Real World Use Cases
– Introduction to Log Analytics
– Market Overview
– Live Demo
– Relation to other Big Data Components
41. Papertrail (SaaS), ELK Stack (Open Source) and TIBCO LogLogic / Unity (Enterprise) in Action…
Live Demo
42. Agenda
– Real World Use Cases
– Introduction to Log Analytics
– Market Overview
– Live Demo
– Relation to other Big Data Components
43. 64
When to use Log Analytics
Time of
Action
Historical
Data
Near
Real Time
Real Time Predictive
IT Operations Analytics (ITOA)
Log Management
Data Warehouse Streaming Analytics
Data Discovery
Hadoop (Variety of different Frameworks)
Log Analytics
47. – Log Analytics enables IT Operations Analytics for Machine Data
– Correlation of Events is the Key for Added Business Value
– Log Management is complementary to other Big Data Components
Key Messages