Learn how companies are leveraging hybrid WAN for branch, remote and main office sites while preserving visibility and insight with the ThousandEyes and Cisco integrated solution.
Hello and thank you for joining this ThousandEyes webinar on Who Moved My Network. My name’s Ian Waters, I’m the Director of Solutions Marketing for ThousandEyes based in the UK and I’m joined today by my Cisco colleague Stefan Mansson, who’s a Senior Technical Marketing Engineer based in the US.
Before we start a couple of points of housekeeping. Firstly, we’d love your questions via the GoToWebinar Q&A panel that you should see to the right of your screen. Keep those coming during the presentation and we have some of our lovely colleagues lined up to answer those as we go, or save them to the end when we hope to allow some time for Q&A. Secondly, anyone who’s registered for this session will get a follow up email tomorrow with a link to the recording of this session and the slideshare. We’re looking to make the most of your time so Stefan and I are aiming to take 25 to 30 minutes, let’s see what we’re going to cover.
ThousandEyes was founded in 2010 and has office in the US, UK & now Japan. We’re backed by some key technology investors such as Sequoia, Sutter Hill, Google Ventures and Salesforce Ventures and provide a cloud based solution for network intelligence. Our customer include all 5 of the global top 5 software companies, 5 of the top 6 US banks and 3 of the Big 4 banks in the UK, as well as customers across manufacturing, retail, online commerce and any industry that is concerned with cloud migration and application availability for it’s employees and customers.
ThousandEyes is partnering with Cisco to provide network intelligence for the modern wide area network. During this webinar we’ll talk about the joint Cisco / ThousandEyes solution as well as give some more detail around how ThousandEyes provides network intelligence to our customers, however at a high level we leverage our end-point, enterprise and cloud agents to investigate the corporate network, the internet and cloud provider networks to give you a unified view. Our agents are lightweight with flexible deployment options as we’ll learn today in the case of the Cisco solution and combined allow you to see any network like it’s your own. Your can use this intelligence to correlate application performance to network health on a global scale and because it’s a cloud based solution it’s dynamic and shareable so you can easily collaborate with network, cloud and service partners to solve what would have previously been complex network issues.
So – Who Moved My Network?
So, for most of us on this call the fact is that our network has moved, let’s investigate why.
See ISR 4k as a ”mini-ASR” .
The control plane CPU on which IOSd resides equals an ASR RP module
The data plane core equals ASR ESP module
IOSd on control plane side programs forwarding CPUs on data plane side
See ISR 4k as a ”mini-ASR” .
The control plane CPU on which IOSd resides equals an ASR RP module
The data plane core equals ASR ESP module
IOSd on control plane side programs forwarding CPUs on data plane side
Unique to ISR4k are the dedicated cores for sevices
These five elements bring you an clear understanding of user experience in an Internet-centric world. We call this Network Intelligence. Network Intelligence is based on unique data created by ThousandEyes, combined with collective performance information from other Internet-centric businesses.
You can create visibility into the performance of any network segment, even if it is outside of your control, without the constraints of rigid monitoring architectures.
You can make sense of complex, dynamic networks with visualizations and collective intelligence that brings together previously siloed data.
You’ll be able to pinpoint network dependencies and faults with clearer insights for even the least-reliable, best-effort networks.
And you’ll solve problems across shared infrastructures by collaborating with team members, clients and service providers with the same data set.