Making sense of real time network monitoring: Measuring efficiency in the cloud
Modern computer networks are unlike anything that came before them. In the old-school days of on-premises server farms, administrators knew every server on their network, what it did and when it was having problems. In today’s world of virtual machines and massive distributed cloud-based networking, that just isn’t possible, so large online vendors like Amazon.com Inc. are investing in real-time efficiency monitoring of their infrastructure and applications as a means to keep everything running as it should.
“Ten years ago you, as an assistant administrator [or] operations person, would have known the names of every one of your servers, and you treat them affectionately. ‘Oh you know, ole Roger is misbehaving again; we gotta give it a reboot.’ These days you don’t know in many cases even how many servers you have, much less what’s running on them,” said K Young (pictured), director of strategic initiatives at Datadog Inc.
Young visited with George Gilbert (@ggilbert41) and Lisa Martin (@Luccazara), co-hosts of theCUBE, SiliconANGLE’s mobile live-streaming studio, during the AWS Summit event in San Francisco.
Young shed light on how Datadog is helping online companies with very large, cloud-based networks monitor their infrastructure and application efficiency in real time. By integrating their monitoring services with whatever software is being used on the network, if there is a infrastructure performance problem somewhere or a high number of application exceptions or errors, it is detected immediately and resolved in short order.
Problem resolution for high profile clients
“Datadog makes it easy … to make sense of what’s happening even as your infrastructure changes on an hourly basis,” said Young. “A lot of customers come to us around the time they’re interested in using dynamic infrastructure.”
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s independent editorial coverage of AWS Summit 2017 San Francisco.
Photo: SiliconANGLE
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