These days organizations are increasingly adopting AIOps. What can be the reason behind it?
FREMONT, CA: AIOps (Artificial Intelligence for IT operations) might be a relatively new term; however, the intricacy of modern application stacks is now tempting the IT teams to adopt AIOps.
The majority of AIOps platforms offer contextual remediation steps for fixing identified problems. These advancements have put network professionals under enormous pressure to perform tasks quickly, since the adoption of advanced technologies like IoT and digitized annual processes via digital transformation (DX) has triggered the dependency of the enterprise networks.
With ping, Simple Network Management Protocol, logging, and flow-tracking monitoring tools, network administrators no longer have the visibility that is required to identify issues at a granular level. The complex networks created by the added gadgets, cloud services, and applications makes it time-consuming for the teams to find it, despite having the appropriate visibility level, to identify the root cause of the issue and quickly fix it.
How can AIOps Platform Help the Network Teams?
Figuring Out the Source:
An AIOps platform uses monitoring data from legacy tools as well as extracts more comprehensive network health information with the help of different techniques. Techniques such as deep packet inspection and wireless or wired streaming network telemetry help in finding the source of the problem.
Determining the Cause:
AIOps platforms utilize AI to baseline end-to-end network activities throughout corporate networks and send warnings when behaviors deviate from the statistical norms. Deep analytics can examine relevant network and device health information to determine the affected networks and tools along with the cause.
Formulating a Resolution:
The AIOps platforms can display contextual information to the administrator that guides the way to fix the problem and bring the network back. Its potential drawbacks include enhanced costs in comparison to conventional monitoring and added implementation intricacies in data collection of the AIOps platform. Besides, sufficient data into the AIOps system, it must be fed by multiple sources continually to ensure appropriate analysis and actionable items.
In short, if a business is planning to implement DX or IoT or needs a uniform application and service performance, then an AIOps platform is the best way to run everything smoothly throughout the infrastructure.