Podcast: Network Management on Steroids and Other Insights
More automation, more virtualisation, more software defined, more scale-out — and most importantly, more YANG: as announced, in Episode 7 of our podcast we talk again about Networking Field Day 25. This time it’s all about Network as a Service, scale-out for routers, programmable microservices and guided troubleshooting.
We talk about troubleshooting in a little more detail. What VMware, Nokia, PathSolutions, Kemp and Juniper presented to us hardly had anything to do with classic monitoring and troubleshooting, and at times caused our editor-in-chief to gasp — not always with enthusiasm.
All manufacturers address what is probably the biggest challenge in network analysis and troubleshooting: Who or what is really to blame? Modern, heterogeneous IT service landscapes literally cry out for fingerpointing and endless battles over responsibility. This is to be countered with intelligent analyses, correlation and drill-down. Simulations on digital twins and the emulation of entire networks in digital sandboxes are designed to detect and eliminate errors from the outset, e.g., when migrating old or integrating new services and components.
Each of the manufacturers had its own special features in this regard: Kemp equipped Flowmon with behavioural analysis technology and added UTM functionality. PathSolutions can correlate events. VMware focuses on total transparency and analytics. Last but not least Juniper demonstrated Apstra, a really impressive solution with Slack and Service Now integration and another very useful tool: config reviews with improvement suggestions based on among others logic, vendor specifications, frameworks, etc.
Our conclusion: The monitoring market is on the move. Actually, people want everything that was shown in a single platform and without UTM, but with Next Gen technology. We will look at this in more detail and come up with a checklist to help companies choose the right tool.
We’ll say a little bit about that already in the latest episode of our podcast. Be warned: We speak German!
The article originally has been published on data-disrupted.de
