Why is Collecting Mainframe Data So Hard?
If you’re like most mainframe managers, chances are you’re not leveraging mainframe operations data to its greatest potential.
By Jacky Hofbauer12/31/2019
Why should you care about mainframe logs?
All too often businesses overlook the value of SMF records, because they simply don’t know how to collect them in an efficient, affordable way. Important mainframe optimization opportunities — chances to make the mainframe perform better and cost-effectively — pass them by as they struggle to analyze SMF records.
If you’re like most mainframe managers, chances are you’re not leveraging mainframe operations data to its greatest potential. Your professional background simply hasn’t valued data analytics up to this point, and mainframe data collection can seem insurmountable. Mainframe data, which is usually split up among countless applications, is notoriously technical and can be difficult and time-consuming to interpret.
ZETALY Data Collection offers the easy way.
ZETALY collects mainframe logs, in near-real time, and sends them to an open platform for interpretation. ZETALY Data Collection automatically extracts, transforms, and loads mainframe data (Smart ETL Engine) so no oversight or configuration is needed. Whether you’re collecting SMF records, system logs, DCOLLECT or IMS logs, ZETALY makes it easy to capture and analyze mainframe event logs and turn raw data into real-world mainframe
Hofbauer is the President and Chief Strategy Officer of zCost Management, a leading company in MLC cost control. He has been intricately involved with system Z and z pricing for over 30 years and is a recognized expert in this area. He continues to share his knowledge and experience through well-known white papers and newsletters about system z and z pricing.