{"id":33510,"date":"2023-12-12T07:19:47","date_gmt":"2023-12-12T12:19:47","guid":{"rendered":"https:\/\/www.eginnovations.com\/blog\/?p=33510"},"modified":"2024-04-08T03:29:55","modified_gmt":"2024-04-08T07:29:55","slug":"5-ways-aiops-monitoring-benefits-euc-environments","status":"publish","type":"post","link":"https:\/\/www.eginnovations.com\/blog\/5-ways-aiops-monitoring-benefits-euc-environments\/","title":{"rendered":"5 Ways AIOps Monitoring Benefits EUC Environments"},"content":{"rendered":"
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The adoption of AIOps monitoring technologies has been somewhat slower in EUC than many other areas of IT. The legacy VDI and DaaS vendor tools set expectations low for many. It is still relatively common for us to come across potential customers who are using legacy tools and manually exporting 6 months of data into an excel spreadsheet to try and work out average and peak usage of resources such as CPU to then manually calculate alert thresholds.<\/p>\n

Just think about how bizarre that really is \u2013 IT administrators having a monitoring tool that is essentially a database with all the information to understand their usage to fine granularity and yet they\u2019re manually fiddling about with excel to calculate a one-off static number. With the growing awareness of AI technologies in general though EUC administrators are increasingly leveraging modern AIOps<\/a> observability and monitoring tools that handle thresholds and alerting and automate previously manual labor-intensive processes.<\/p>\n

In fact, adopting AIOps (Artificial Intelligence for IT Operations) monitoring<\/a> into EUC environments can bring multiple benefits. Here are my five top reasons why EUC admins should consider embracing AI via AIOps.<\/p>\n

<\/span>1. Proactive Issue Resolution<\/span><\/h3>\n

Traditional IT approaches often involve reactive problem-solving, where issues are addressed after they impact end-users. AIOps changes this paradigm by enabling proactive monitoring and analysis. By leveraging machine learning algorithms, AIOps can identify patterns and anomalies in user activities, device performance, and application usage. This proactive approach allows IT teams to address potential problems before they escalate, enhancing system reliability and reducing the impact on end-users.<\/p>\n

To learn more about industry standards around proactive monitoring and how proactive monitoring differs from synthetic testing, see: What is Proactive Monitoring and Why it is Important (eginnovations.com)<\/a>.<\/p>\n

<\/span>2. Automated Problem Detection and Remediation<\/span><\/h3>\n

AIOps excels in automating the detection and remediation of common issues in EUC environments. Whether it’s resolving performance bottlenecks, application crashes, or security threats, AIOps can analyze vast amounts of data in real-time to automatically trigger responses. This level of automation not only accelerates issue resolution but also reduces the burden on IT teams, allowing them to focus on more complex and strategic tasks.<\/p>\n

A good AIOps monitoring platform will provide EUC administrators with out-of-the-box alerts and root-cause analysis, without the need to tediously set up metric thresholds and alerts manually. Moreover, most AIOps platforms are designed to automatically scale with systems making them well suited to modern IT architectures involving microservices, cloud and containers.<\/p>\n

You can learn more about these types of AIOps features, in:<\/p>\n