Real-Time Log Analytics using SPLUNK

 

An organization's ability to measure, monitor and optimize business processes has a direct impact on revenue generation and subsequent customer satisfaction. Real-Time Analysis of Machine Data help to improve business operations and reduce costs by providing real- time reports and alerts. This allows for quick modifications on not just the future operations but also on the current ones. As machine data is expanding exponentially, there is a need for developing faster, efficient, and innovative ways of analysis. It’s here that Splunk comes into picture by enabling organizations to correlate data across heterogeneous systems to gain a real-time, end-to-end view of the entire business process.

Combining Complex Event Processing (CEP) and Machine Learning, Splunk can forecast the issues and breakdowns in system and help reduce costs at Enterprise level. This can be achieved by utilizing a multitude of Hadoop components, Apache NiFi, Splunk and others, on cloud. Splunk was designed specifically to address the challenges of collecting, monitoring, analyzing and reporting on machine data—logs that come in any format, from any source, and from anywhere in your environment. In fact, Splunk users derive huge advantages in analyzing logs for operational intelligence, security, IoT or other critical use cases.

What will you learn:

1. You will learn the process of analyzing logs in Splunk and its various features.
2. How to improve customer experience and increase revenue by gaining insights into failed process
3. Deploy and search across on-premise, hybrid-cloud and private/public-cloud based installations
4. Learn more about index, search and correlate any data for complete insight across your infrastructure
5. Securely make operational data available without requiring access to production systems
6. Know how to drill down and up and pivot across data to quickly find the needle in the haystack
7. Learn how to find business process bottlenecks and identify opportunities to optimize the process

Join us in exploring the myriad of possibilities of analysing Machine Data and gaining new insights for optimizing operational performance in Splunk.

Cloud Aggregation | Techwave

About the Speaker:

Sasikanth Sudabattula ,popularly known as Sashi, leads the Big Data Team at Techwave. His passion for work is reflected on multiple clients’ PoCs, that he has worked upon. Sashi has a keen interest in the upcoming developments in medical facilities; especially in platforms that facilitate access to personalized Healthcare and improvements in Mental Health, all thanks to his degree in Biomedical Engineering from University of Michigan, Ann Arbor. He has an insatiable drive to explore new and exciting areas of knowledge and entertainment. Sashi enjoys International music a lot, and is currently learning Korean and German languages.