The Tao of NetComm
Juniper Employee , Juniper Employee Juniper Employee
The Tao of NetComm
Want your network to take an application-centric view? Introducing the Cloud Analytics Engine (CAE)
Sep 9, 2014

CAE diagram.png



There it goes again.  The bar for IT-enabled operational efficiency has been raised yet again, and this time, it’s all because of the “A” word that keeps appearing: Agility.


Agility, driven largely by virtualization and cloud adoption, is fueling business success across all industries and verticals. Virtualization is surging like a wave, rolling up from the servers and storage to envelop the entire network. Rising with it are new container technologies for specific applications. As the network becomes virtualized, you have overlays, layers of abstraction and logical networks all carved out of a single shared physical infrastructure. Virtualization in the data center requires stringent performance from the underlying network, as it is pivotal to application experience, service delivery and smooth business operations.


The Problem


All this layering, splicing and abstraction reduces network visibility and transparency, keeping you from knowing what is happening in all layers—leading to rigidity, operational complexity and inefficiency.


How does that impact your business?  Let’s illustrate with a role play as an example - if any of it sounds familiar, your IT organization may be operating in a reactive mode:


Role 1: DevOps, Server Admin or Application Development Teams

While trying to roll out containers, move application workloads, or develop and optimize your business processes, you find your progress is impeded by factors you can’t see, such as poor application performance or broken network connectivity. You know something is wrong in the network, but you don’t have the time, expertise or resources to chase down network problems. So instead, you open a trouble ticket or call the network admin every time your application misbehaves. 


Role 2: Network Admin

Network performance is poor, and you need to find out what—and where—the problem is. So you trace application flows, chase packets through every device, and look at congested tunnels and paths in the network.  Extracting and correlating meaningful data from these various layers of network devices is a painful endeavor, rivaled only by a visit to the dentist. To top it off, while you were busy troubleshooting one device, you missed a microburst event that caused a performance hit elsewhere on the network. 


Introducing Cloud Analytics Engine (CAE)


Wouldn’t it be nice to know more about what is happening in all those layers, to gain visibility into application performance and understand exactly what is happening and where, so you can isolate and correct problems with precision? What if your network told you what you needed to know so you could manage it proactively, not reactively, giving you:

-       Comprehensive visibility into the physical and virtual networks

-       Coalesced network intelligence from different elements of the data center infrastructure 

-       The ability to predict and solve application performance and availability challenges in your data center

-       The opportunity to plan and optimize your capacity requirements


In other words, what if you could finally get…clarity?


Yes, it is possible to do all this and more with the Cloud Analytics Engine (CAE), a single, integrated end-to-end analytics solution for your physical and virtual network layers. While traditional solutions rely on a network-centric approach to data collection, CAE takes an application-centric view of the network, providing insights into the physical and virtual worlds.


This means CAE provides visibility into not just one device, but for all devices in the physical and virtual layers throughout the entire network.  The result is a simplified, efficient solution that streamlines operations and delivers the agility you need by reducing costs and service delivery times. 


 Do you want to make your network more application-centric? Stay tuned for more.

Sep 10, 2014
Juniper Employee

Problem explained in a very simple and elegant way. Nice !!!!

Oct 13, 2014

When the tool is issue ?