Home > Storage > PowerScale (Isilon) > Product Documentation > Storage (general) > Dell PowerScale: Key Performance Prediction using Artificial Intelligence for IT operations (AIOps) > Eliminating IT operations challenges with AIOps
Architecting IT infrastructure has never been more challenging than it is today. Many end-user workloads, such as semiconductor design, autonomous driving development, and life sciences and healthcare are growing more complex every day. With that complexity comes growing demand on IT. A further complication is the fact that data footprints are also growing – often exponentially. It is no wonder that IT Administrators struggle to maintain consistent infrastructure performance, with rogue applications (and users) occasionally overloading infrastructure, creating performance issues across the organization. While there are tools available to monitor performance, these tools lack domain knowledge – they are one-size-fits-all – and thus are mostly used to alert administrators after a problem has occurred. Ideally, IT admins would like a means to predict, based on their specific mix of workloads, when performance challenges are going to arise – with enough time to avoid them altogether.
AIOps is the methodology to address these challenges. AIOps refers to the use of artificial intelligence (AI), specifically machine learning (ML) techniques to ingest, analyze, and learn from the large volumes of data (performance logs, usage reports, audits, and so on) that is now available from modern infrastructure, spanning every corner of the IT environment. AIOps can reduce the complexity of managing IT infrastructure by bridging data silos autonomously with the means to filter them, detect patterns, and to cluster meaningful information for more efficient and effective actionable insights. With AIOps, it is now possible to create, with ease, an IT alert solution that adapts automatically to each data center’s unique workloads, to provide accurate predictions of performance issues – to provide administrators with a way to prevent them proactively.
The goal of AIOps is to allow IT departments to manage their assets and tackle performance challenges proactively, in real-time (or better), before they become system-wide issues. Along with the flexibility needed to find and fix issues faster, AIOps provides IT professionals with predictive insights to prevent issues from happening in the first place.
A recent study[1] revealed that the global AIOps market will surpass $3 billion by 2025 at a CAGR of 43.7% from 2020 to 2025. This observation leads many to anticipate that most AIOps tools will turn into more innovative and developed platforms from 2022 onwards.