Ray Zhu & Roger Barga, AWS, sit with Dave Vellante and John Walls at Splunk .conf 2017 in Washington, D.C
#splunkconf17 #theCUBE
https://siliconangle.com/2017/11/21/splunks-big-data-chops-bite-into-automated-security-splunkconf17/
No time like real time
To make data more quickly available for security, remediation and other purposes, Splunk’s partnered with Amazon Web Services Inc. At Splunk .conf2017, the companies announced that AWS’ real-time streaming data engine, Kinesis, will support Splunk. Users can employ the real-time streaming ingestion service to get data into Splunk clusters, Ray Zhu, senior product manager at AWS, told theCUBE. “Starting up a Kinesis stream — it’s like 15 seconds on the average consul,” Zhu said.
For certain time-sensitive tasks, like threat detection, only real-time will do. “Data never loses its value; it always has historical value for machine learning, for understanding trends over time,” says Roger Barga, general manager at Amazon Kinesis services at AWS. “But the insights that data has are actually very, very perishable.” The window to extract business insights, for example, can be as brief as an hour, he said. Kinesis streams allow users instant insight into their businesses, processes and customers, Barga said.
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Ray Zhu & Roger Barga, AWS | Splunk .conf 2017
Ray Zhu & Roger Barga, AWS, sit with Dave Vellante and John Walls at Splunk .conf 2017 in Washington, D.C
#splunkconf17 #theCUBE
https://siliconangle.com/2017/11/21/splunks-big-data-chops-bite-into-automated-security-splunkconf17/
No time like real time
To make data more quickly available for security, remediation and other purposes, Splunk’s partnered with Amazon Web Services Inc. At Splunk .conf2017, the companies announced that AWS’ real-time streaming data engine, Kinesis, will support Splunk. Users can employ the real-time streaming ingestion service to get data into Splunk clusters, Ray Zhu, senior product manager at AWS, told theCUBE. “Starting up a Kinesis stream — it’s like 15 seconds on the average consul,” Zhu said.
For certain time-sensitive tasks, like threat detection, only real-time will do. “Data never loses its value; it always has historical value for machine learning, for understanding trends over time,” says Roger Barga, general manager at Amazon Kinesis services at AWS. “But the insights that data has are actually very, very perishable.” The window to extract business insights, for example, can be as brief as an hour, he said. Kinesis streams allow users instant insight into their businesses, processes and customers, Barga said.
