AIOps for Network Automation: Tools and Platforms
AIOps: What is it?
AIOps is a method for automating network monitoring, troubleshooting, and other network management tasks by integrating machine learning and big data analytics. Network administrators can concentrate on more strategic network tasks by automating network processes instead of replacing their manpower on the network.
Comparison of AIOps and Digital Experience Monitoring
AIOps is growing rapidly, and similar network technology, digital experience monitoring (DEM), is as well. Although the two approaches to network management are very similar, AIOps goes further than DEM. By combining application performance monitoring (APM) and end-user experience monitoring (EUEM), digital experience monitoring eliminates data and performance silos. AIOps, however, uses machine learning and data analytics to not only assess performance but to automate fixes that would normally need to be handled by network administrators.
Both tools are increasingly replacing other network technologies. According to a recent Gartner report, AIOps and digital experience monitoring tools are exclusively used for network infrastructure by about 5% of enterprises, but that number will increase to 30% by 2023.
The Top AIOps Tools and Platforms of 2021
An Artificial Intelligence for IT operations (AIOps AIOps platform uses AI, big data, and machine learning to analyze IT data. The ultimate goal is to discover patterns that can be used to predict incidents, spot emerging behavior, identify root causes, and automate processes.
Networking and IT management are fairly new areas for AIOps. The field is still in its infancy. Due to this, vendors such as Splunk and BMC are adding AIOps capabilities to their existing ITSM and ITOM tools. It’s for this reason that startups and smaller companies dominate the market. Several of the companies covered in this guide will likely be acquired by larger companies in the next year or two.
Currently available AIOps solutions for network automation
Though AIOps is a relatively new field, several software vendors are already offering comprehensive solutions to enterprises. On the network, the majority of current solutions handle root cause analysis and problem prediction/solving. A few examples include:
- Dynatrace
- LogicMonitor
- Splunk
- ZIF
- Moogsoft
Network update – constantly
Automated service assurance is basic to the client success of any company. AIOps will help NetOps via automating manual assignments and quickening updates. Powered by work process automation, service modeling, compliance capacity, and closed-loop automation, AIOps – Artificial Intelligence empowers companies to reclassify network automation with a slice of difference. With one hand on ML and Analytics, estimating input at each phase of automation is more precise and adds to additional learning. AIOps will also make ready for more discussion about Internet-based networking.
As you can understand, AIOps is something other than another abbreviation. It packs a new level of functional intelligence, flexibility, and business acumen for enterprises that want their networks to stay ahead every step of the way.
It’s new, however, it’s getting hot. Adopting AIOps might be a slow cycle, yet we anticipate some huge upgrades in the coming year. This change requires a social change at the organizational level and the individual mindset. The present networks are complex and hard to track down. If you have recognized the right use-cases, technologies like AI need to go far.
Simultaneously, we should not overlook that any digital transformation practice is a journey, as well as a network and functional transformation. Be ready to cause changes to build, operate networks, and manage networks utilizing AIOps.
Welcome to your new confidant on NetOp!
Apple calls it Siri; Amazon calls it Alexa. What do you plan to call yours?
