According to IDC, by 2020 40 percent of all data will be machine-generated. Much of this data is unstructured log data from web/app servers, mobile app/devices, and internet of things (IoT). Enterprises of all types and sizes are looking at ways to analyze this data to decrease security threats, identify new revenue opportunities and increase operational efficiency. Applications like Splunk are enabling the rapid analysis of this machine-generated data.
But the storage infrastructure is ill-prepared to allow Splunk to achieve its full potential. Join Storage Switzerland and ClearSky Data for our on demand webinar, “Which Storage Architecture is Best for Splunk Analytics?”
We discuss the pros and cons of the three most common storage architectures for Splunk, enabling you to decide which makes the most sense for your organization.
- Leverage existing storage resources
- Deploy a cloud storage and SaaS solution
- Deploy a hybrid, Splunk-ready solution