AIOps and The Possibility to Look Beyond IT Solutions

by April 28, 2020 0 comments

With rapid expansion and digital transformation of IT come multitudes of data. IT firms are expected to deliver actionable results at faster rates than ever, to keep up with the market competition. Exacerbating this pressure is the inclusion of hybrid infrastructure and limited human minds. So to prevent this, identify and resolve high-scale blowouts quickly, IT firms are turning to AIOps. AIOps stands for artificial intelligence (AI) for IT operations (AIOps). It is multi-layered technology platforms converging big data analytics, machine learning, and Artificial Intelligence to solve IT issues and enhance operations. It connects three different IT disciplines viz., service management (Engage), performance management (Observe), and automation (Act).

This can establish proactive remediation, automated remediation capabilities that help IT teams deliver excellent customer experiences, intelligent insights, better management, and efficiency. This platform offers the usage of data collection procedures, allows the handling of multiple data sources, better tracking. It also provides analytical and presentation technologies while taking out the manual labor. It can further help them with the collaborative development of the firm. The key drivers for the growth in the AIOps market are the dynamic shift towards the adoption of cloud and end-to-end business applications.

Businesses nowadays are devoting their investments in AIOps to yield streamlined datasets by filtering noise and redundancy and automation of the pattern discovery process. This is essential as global enterprises are shifting to do remote work. Due to their flexibility, AIOps can work effortlessly in collaboration with IT’s technical areas like containers and ephemeral infrastructure. Besides, it allows teams to focus on high value-add and innovative tasks rather than configurations and other drudgery. The AIOps platform market is expected to expand to $11.02 billion by 2023, and according to analyst firm Gartner’s predictions, 40 percent of DevOps teams will utilize AIOps capabilities, within the next three years.

There are few key companies whose AIOps solutions are a huge buzzword among the IT sectors. Kentik is a domain-centric AIOps solution focusing its platform on large volumes of network data, such as NetFlow, SNMP, streaming telemetry, and BGP routing data. Last year it announced significant product developments to broaden its analytic capabilities. These include the provision of real-time network visibility outside the current scope, automatic detection of traffic anomalies, prediction of cost overages, alerts on traffic spikes, and more. Their objective is to facilitate easier access across service provider, hybrid and multi-cloud infrastructures.

Cisco’s AppDynamics specializes in both an on-premises and SaaS-based APM solutions. It provides end-user monitoring, and business performance monitoring, with additional features offered via the App iQ platform. This App iQ platform incorporates Business iQ capability that presents intelligent business-centric analytics and dashboards.

Other big names include Splunk light, Zenoss, Moogsoft, BigPanda, LogicMonitor, and so on.

The main hurdles in adapting AIOps come from lack of skilled professionals, high costs of the installation of AIOps system in a firm’s infrastructure. Hence enterprises and business brands must look into imparting adequate skills and financial resources to address these setbacks. Only then they can reap the benefits of this technology which is still in its early phases. Further, it automates routine tasks like user requests and non-criticals calls that take most of the work hours of the employees, with greater accuracy in recognition of error zones and malware events. Hence it is better not to wait while other competitors familiarize themselves with AIOps vocabulary, start experimenting freely, have a vision beyond the IT horizon, and last prefer full adoption by consistent automation architecture, infrastructure as code (IaC), and immutable infrastructure patterns.

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