Additionally, the current set of 15 odd troubleshooting tools like Ping, Curl etc, all running from the same central location, failed to provide the right visibility. When things break down, troubleshooting is tricky as it constantly involves finger pointing. AIM Specialty collaborates with multiple partners and healthcare providers, which entails workflow related-tools being hosted in third party organizations. Ivan moves on to the second use case, where his team adds Enterprise Agents to the mix. This allowed his team to engineer traffic around problematic circuits, which was very critical in transitioning from PoC to deployment. With ThousandEyes his team was able to benchmark service providers, understanding where and how the remote users transited the network. With ThousandEyes Cloud Agents he was able to gain visibility into service delivery, BGP routing and make informed decisions on remediation once a fault was detected.įigure 3: Path Visualization showing exactly where packet loss was in the network.Īs his team was getting ready to move the PoC system to a real production system, ThousandEyes became an integral part of the architecture planning.
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With a free trial version of ThousandEyes and setting up tests from Cloud Agents, Ivan says "We very quickly got the information we needed." He points to the ThousandEyes Path Visualization snapshot shown in Figure 3, that shows exactly where packets were getting lost.
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While researching how to overcome the issue of poor visibility, he says technical forums like NANOG and SLAC led him to ThousandEyes. Vendor compatibility, lack of historical data and unreadable UX were few of the challenges.
Solution Part 1: Cloud Agentsįaced with a new problem to solve, Ivan says he quickly realized that existing monitoring tools like Ping, Curl, SNMP or IP SLA were not coming to his rescue. "4.2.2.2 was responding clean and we didn't see any issues from our side" recollects Ivan. Troubleshooting from the datacenter didn't provide a good vantage point as in-house tools showed that the leased circuit was underutilized and DNS reachability was stellar.
The PoC system was converted into a soft production system, and Ivan had a new problem at hand.Īs it turns out, the carrier that AIM Specialty decided to go with had nationwide BGP issues resulting from blackholing traffic from a couple of their backbone locations. Ivan draws a molded bread analogy comparing how couple of months after the PoC, although very successful, started getting moldy when real users were on it. Ivan remembers the call from the NoC team complaining that the PoC system was breaking down with poor user quality and overall network instability. Ivan says "The increasing need for partners broke down the private cloud model."įigure 2: Proof of Concept architecture for the Telecommuter Program. The network architecture at AIM's traditionally relied on the private cloud but that was going to change with the Telecommuter program. The now remote user base also meant that private cloud was no longer a sustainable option. Ivan recounts "With TCP-based web applications we can account for a lot, but voice gets a little trickier." The data aspect did not worry Ivan, however, voice was a different beast. Named the Telecommuter program, business requirements mandated this network to have a flawless user experience, providing remote users a data and voice experience comparable to that of a campus user. Ivan kick starts the session by recollecting how a little over a year ago he was tasked with building a network for specialized medical professionals connecting from remote locations in the continental US.
In his talk Ivan discusses the inception of the Telecommuter program and the parallel evolution of the program alongside ThousandEyes Cloud, Enterprise and Endpoint Agents to monitor AIM's network. Ivan and his team have been working with ThousandEyes for over a year now and use ThousandEyes to gain visibility into service delivery for AIM's Telecommuter program. Figure 1: Ivan Shepherd presenting at ThousandEyes Connect New York.
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