In complex modern IT environments, AIOps leverages artificial intelligence to simplify IT operations management and accelerate and automate problem resolution.Smart building technologies are great -- as long as they work properly.As building owners continue to dabble in the variety of IoT systems being deployed in commercial buildings and campuses, managing the hardware and software for each system can become a daunting task if not done properly from a performance and cybersecurity standpoint.Fortunately, advanced surveillance platforms utilizing artificial intelligence (AI) are widely available in the market. They're called artificial intelligence IT operations (AIOps) platforms—and they could be the exact solution for your smart building monitoring and management needs.What is AIOps?AIOps, or Artificial Intelligence for IT Operations, is the application of artificial intelligence (AI) to improve IT operations. Specifically, AIOps uses big data, analytics, and machine learning capabilities to:Collects and aggregates ever-increasing volumes of operational data generated by multiple IT infrastructure components, applications, and performance monitoring toolsIntelligently sifts "signal" from "noise" to identify important events and patterns associated with system performance and availability issues.Diagnose root causes and report them to IT so they can respond and remediate quickly, or in some cases automatically resolve them without human intervention.By replacing multiple separate, manual IT operations tools with a single, intelligent, automated IT operations platform, AIOps enables IT operations teams to respond faster and even proactively address slowdowns and outages, drastically reducing workload.It bridges the gap between increasingly diverse, dynamic, and difficult-to-monitor IT environments on the one hand, and user expectations for little or no disruption to application performance and availability on the other. Most experts agree that AIOps is the future of IT operations management.AC-DC одноканальный What is an AIOps platform?Infrastructure monitoring and management tools have been around for decades. Examples range from simple testing tools using the ICMP and SNMP protocols, all the way to advanced systems that perform deep packet inspection (DPI) and stream network telemetry on every packet that passes the wire.While all of these monitoring protocols, tools, and platforms provide monitoring visibility, most are deployed independently, do not provide automated analysis, and do not share critical data among each other. An AIOps platform brings together many of these disparate technologies into a unified tool that is centrally managed.The concept behind AIOps is to collect a large amount of relevant network-based monitoring and health information. So much so that a human administrator would find it difficult, if not impossible, to manage. However, with the help of AI, the data analysis process can be automated and alerts and remediation steps are displayed to operations administrators with relatively little human intervention required.How can AIOps platforms gain intelligence?To gain the necessary intelligence needed to identify performance and/or network security issues, a newly implemented AIOps system must first sit on the network and observe what is considered "normal" network behavior. Once done, administrators can set monitoring thresholds for various performance and security-related metrics, which in turn will alert them when network behavior exceeds these set limits.Because AIOps platforms are ingesting and analyzing network health information across the network, AI can often determine in real time which devices are causing problems and why. This significantly reduces troubleshooting time and the speed with which administrators can fix performance or network security incidents.How can AIOps help us from the perspective of smart building monitoring and management?Модуль связи CAN2.0 AIOps platforms are best thought of as AI-based extensions of IT operations teams. Given this situation, AIOps platforms can automate many processes that were previously performed manually by employees. This includes:Collect network performance, health and safety data across your building or campus network.Intelligent analysis of collected data from a performance and network security perspective.Provides automatic alerts when performance/security issues are found.Provides a centralized, end-to-end view of the overall health of the network and connected devices.For building owners and operators looking to integrate smart building technology into their properties—but who also want to work in a "lean IT model" to limit the number of IT staff required to manage smart building technology, AIOps offers the following benefits:Automatically identify IT performance or network security issues.AI-powered root cause analysis and remediation.An additional layer of network security monitoring to identify when an infected device begins communicating with a command and control server that deviates from "normal" network behavior.Are there any downsides to AIOps platforms?A significant shortcoming of AIOps platforms is that monitoring and alerting tools must first observe the infrastructure as it operates under existing conditions. This step is used to determine a baseline of what is considered optimal network behavior.Baseline steps can be challenging if devices or services on your network are already causing performance or network security issues. If issues are not addressed prior to the baseline process, the AIOps platform will build them into the baseline metrics and treat them as typical behavior.This baseline requirement means that time and effort must be spent manually addressing as many performance and security-related issues as possible up front so that AIOps tools establish as close to an optimal monitoring baseline as possible.So, the best advice for those who are looking into AIOps to simplify monitoring and management of their infrastructure is to start by getting all existing technologies working as well as possible. Once that step is complete, continuous AIOps monitoring and alerting will be more accurate.
