Machine data generated by mainframes can be correlated with data from across the enterprise. In this way, users can get even more operational intelligence.
Machine data specialist Splunk and big data provider Syncsort announce a technology partnership. Common customers can get even more information out of their mainframe data. Through the cooperation of the two companies, the large mainframe data streams can be searched, analyzed and visualized.
The analysis and analysis then takes place in Splunk Enterprise and Splunk Cloud. Machine data generated from mainframes, as well as values from zOS, can be correlated with data from across the enterprise to provide even more operational intelligence.
If mainframes are used in a company, these high-performance computers will, in most cases, process important company applications or data. Therefore, mainframes are also a sensitive source of information.
Above all, large and largest companies from the telecommunications, retail, insurance, healthcare and finance sectors will benefit from the new offer, according to a joint statement. Syncsort quickly collects historical data such as Systems Management Facilities (SMF) records and mainframe application data and then converts it. Users can then transfer and interpret this data into Splunk Enterprise and Splunk Cloud platforms.
“Even today, mainframes play an important role in the IT infrastructure of many companies and generate huge amounts of data,” says Sanjay Mehta, VP of Product Marketing at Splunk. “Through our cooperation with Syncsort, these companies will be able to reliably identify security risks, operational and system failures in advance, and seamlessly monitor their customers’ financial transactions across all systems.”
“Many companies still rely on mainframes for critical business applications . So it’s important for them to leverage the hidden treasures in mainframe data to understand their customer experience, security status, and other key metrics, “says Bryan Ashley, VP Business Development, Syncsort.