Where should we begin?
Once upon a time, not so long ago, networking teams got by with basic analytics using SNMP events, syslogs, custom scripts, utilization reports, and simple monitoring tools. How things have changed!!
Where are we headed?
1. 60% of transactions either originate or terminate outside of the private enterprise network.1 The Internet has become the new network core.
2. 40% of enterprise workloads will be on public cloud by 2023.2 Applications and services are disaggregated and distributed across a myriad of private and public cloud and edge environments.
3. 58% of employees will continue to work 8 or more days/month from home and more devices are connecting to your network than ever, multiplying your team’s workload.3
And if that wasn’t enough your network has become the vital lifeblood of an increasingly digital organization. Is your budget and time to value keeping up?
Enter AIOps.
The future demands the advanced use of data and artificial intelligence to help accelerate and automate operations in this increasingly complex world. According to IDC, “by 2024, 50% of large enterprises will adopt AIOps solutions for automating major IT system and service management processes.”4
What does this mean for the network?
Given the chance, your network can provide the eyes, ears, and advanced brain to know precisely what’s going on. It can provide visibility into how transactions are doing anywhere along its wildly meandering path–and clear guidance on what to do if anything bad is detected or predicted. What do I mean by given the chance? Well, in my mind there are three main elements to a complete network analytics capability that include:
1. Visibility: Collecting and seeing the data anywhere along the private-public network continuum
2. Insight: Making sense of the data in an intelligent and contextual way, including the use of artificial intelligence and machine learning (AI/ML) to make the data useful and actionable
3. Action: Applying what’s been learned to help activate, prevent, and remediate so that good application experiences are continuously maintained
IT teams are on the path and Gartner predicts that “by 2024, 50% of network operations teams will be required to re-architect their network monitoring stack, due to the impact of hybrid networking.” 5
Where are IT teams in their journey toward advanced network analytics?
Our own data corroborates Gartner’s prediction that IT leaders are recognizing the need for advanced analytics. We surveyed over 2,000 global IT leaders and network strategists for our Global Networking Trends Report on their plans for a more advanced AI-enabled network assurance capability. In our survey, we found that 22% were already well on their way and a massive 72% were planning for it in the next 2 years.
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