Easily Deploy, Secure, Manage, and Maintain On-Premises Infrastructure with Scale Computing’s Autonomous Infrastructure Management Engine
Artificial intelligence for IT operations (AIOps) generally refers to a process that uses AI techniques to automate IT tasks and improve operational efficiency. AIOps can help provide IT teams with enhanced automated insights, streamline data and deliver predictive analytics, and provide a DevOps approach to managing core IT functions. Tech leaders today are constantly looking for ways to implement these simple, automated solutions that enable them to reliably save time and resources when it comes to their IT infrastructure.
Enter Scale Computing’s Autonomous Infrastructure Management Engine (AIME), the artificial intelligence orchestration and management functionality that powers Scale Computing HyperCore. Essentially, it’s an AIOps-driven platform designed to simplify the operation of IT infrastructure.
Today, we are seeing how AIOps is really becoming a requirement to support modern infrastructure. AIME drastically reduces the effort needed to deploy, secure, manage, and maintain on-premises infrastructure. A hand-built model of the environment in which the cluster is running, AIME is built like a digital twin — it models the reality that the cluster sits within, from what’s happening on the actual hardware and the cluster to the surrounding environment. As the management engine that powers SC//HyperCore, Scale Computing’s self-healing technology automatically corrects issues so users can avoid an IT crisis from occurring at just the wrong time. It allows users to keep systems up to date, and to repair failures as part of a regularly scheduled maintenance cycle. SC//HyperCore architecture provides scalable, accessible computing and storage while maintaining simplicity through automation and design.
The emergence of edge computing has brought applications closer to the people and things interacting with them, without sacrificing cloud-like ease of use, scalability, and availability. AIME monitors the system for security, hardware, and software errors, and remediates those errors where possible. We consistently hear from partners and customers that they need IT infrastructure solutions that are scalable, accessible, and easy-to-use, while maintaining simplicity. Scale Computing solutions meet those needs through innovation, automation, and simple design.
Scale Computing’s AIME functionality handles day-to-day administrative tasks and maintenance automatically. It identifies the root cause and minimizes the impact of issues it cannot automatically repair, notifying users with specific problem determination and action—including actions to secure the environment—rather than just sending a stream of data that must be interpreted. AIME also maintains current firmware, driver, and OS versions for enhanced security and stability.
Benefits of this automated infrastructure management include:
- Minimized IT Support: AIME's comprehensive monitoring, proactive problem detection, and automated remediation swiftly address issues and maintain system health without the need for constant manual intervention.
- Eliminated Confusing Logs: Precise problem determination and actionable insights streamline troubleshooting, eliminating the need to decipher confusing logs and providing clear guidance on addressing issues.
- Automated Remediation: By leveraging its understanding of the system's state and conditions, AIME automates remediation tasks and swiftly addresses issues to minimize downtime.
CRN®, a brand of The Channel Company, recognized Scale Computing Autonomous Infrastructure Management Engine (AIME) as a finalist in the 2024 Product of the Year Awards in the Edge Computing/Internet of Things category.
To take a deeper dive into Scale Computing’s Autonomous Infrastructure Management Engine, watch Senior Solutions Architect Mike Lyons discuss AIME and AIOps at Platform//2024 on our YouTube channel. To learn more about how Scale Computing solutions can maximize your business, schedule a live demo today.