Sr. Network Engineer at a comms service provider with 10,001+ employees
Real User
Mar 30, 2021
We have quite a few use cases for the SevOne NMS. It's mainly for performance management by our different network teams and we also do performance management of our external customers. That means we offer businesses and schools and others access to a Comcast device for their site to give them internet, or site-to-site connectivity. We also monitor our Comcast Digital Voice in SevOne NMS. For the external customers and the Comcast Digital Voice, we're inputting flat file data into SevOne so that we can get the metrics for that flat file data and provide it to those customers. We're doing SMP and what they call xStats. With SevOne DI we allow our external customers to log in and get a report for their data. We give them a subset of the data that we collect so that they can see that we're staying within our SLAs. I mainly focus on the thresholding capability of SevOne. We configure thresholds on the performance metrics and they send us alerts so that the NOC is alerted about the systems that are having issues. I maintain SevOne and I give the customers what they want. They're the ones who let me know if there's an issue. They're the ones monitoring the health of our network. We have various NOCs, depending on the device type, and they're the ones that will let me know if something needs to be modified or tweaked to enhance that performance management. We have a SevOne NMS cluster that is also attached to a SevOne Data Insight cluster, and the SevOne NMS system is also sending out the SDB to a set of servers that we maintain for customers for rural data. We're using the 300K which we've licensed to 200K and we're on version 5.7.22 of the NMS and 3.0 on the SDI.
We're using SevOne to monitor our network infrastructure. We provide monitoring services and performance capacity management for network gear, including routers, switches, wireless controllers, firewalls, and load balancers, to name a few. We have various manufacturers and different device models that we leverage the solution to monitor in our organization. Our deployment of SevOne is mostly virtualized. We have gone completely virtual in our environment. We have SevOne deployed in different regions of the world: the U.S., Hong Kong for Asia, as well as in London for Europe.
Our client who is using SevOne is a large client, it's big. We have to create multiple instances to support their infrastructure on the platform because they are very huge and are on-prem as well as on the cloud. Because Turbonomics is unlimited, they can do certain VM levels. I think you can do 11,000. You can collect 11,000 metrics from the VMs and you cannot go above that number. So let's say if you have 9,000 VMs, you can handle it, but sometimes you become busy and you're doing a lot of collections, or if you start collecting the processes' metrics, that is going to be a problem for you down the line. So we have about eight instances to support the platform on-prem and I think 11 or 12 on the cloud.
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The IBM® SevOne Network Performance Management (IBM SevOne NPM) solution helps you spot, address, and prevent network performance issues early with machine learning-powered analytics from a single source. Boost network performance and improve your user application experience by proactively monitoring your multivendor end-to-end network across enterprise, communication, and managed service provider networks.
Transform raw network performance data into intelligent and actionable insights. The...
We have quite a few use cases for the SevOne NMS. It's mainly for performance management by our different network teams and we also do performance management of our external customers. That means we offer businesses and schools and others access to a Comcast device for their site to give them internet, or site-to-site connectivity. We also monitor our Comcast Digital Voice in SevOne NMS. For the external customers and the Comcast Digital Voice, we're inputting flat file data into SevOne so that we can get the metrics for that flat file data and provide it to those customers. We're doing SMP and what they call xStats. With SevOne DI we allow our external customers to log in and get a report for their data. We give them a subset of the data that we collect so that they can see that we're staying within our SLAs. I mainly focus on the thresholding capability of SevOne. We configure thresholds on the performance metrics and they send us alerts so that the NOC is alerted about the systems that are having issues. I maintain SevOne and I give the customers what they want. They're the ones who let me know if there's an issue. They're the ones monitoring the health of our network. We have various NOCs, depending on the device type, and they're the ones that will let me know if something needs to be modified or tweaked to enhance that performance management. We have a SevOne NMS cluster that is also attached to a SevOne Data Insight cluster, and the SevOne NMS system is also sending out the SDB to a set of servers that we maintain for customers for rural data. We're using the 300K which we've licensed to 200K and we're on version 5.7.22 of the NMS and 3.0 on the SDI.
We're using SevOne to monitor our network infrastructure. We provide monitoring services and performance capacity management for network gear, including routers, switches, wireless controllers, firewalls, and load balancers, to name a few. We have various manufacturers and different device models that we leverage the solution to monitor in our organization. Our deployment of SevOne is mostly virtualized. We have gone completely virtual in our environment. We have SevOne deployed in different regions of the world: the U.S., Hong Kong for Asia, as well as in London for Europe.
Our client who is using SevOne is a large client, it's big. We have to create multiple instances to support their infrastructure on the platform because they are very huge and are on-prem as well as on the cloud. Because Turbonomics is unlimited, they can do certain VM levels. I think you can do 11,000. You can collect 11,000 metrics from the VMs and you cannot go above that number. So let's say if you have 9,000 VMs, you can handle it, but sometimes you become busy and you're doing a lot of collections, or if you start collecting the processes' metrics, that is going to be a problem for you down the line. So we have about eight instances to support the platform on-prem and I think 11 or 12 on the cloud.
I'm using this solution to get performance stats outside of my vCenter environment.
We use SevOne to display all the information from Cisco IP SLA regarding the delay, voice quality, etc.