Pivot3, a provider of intelligent infrastructure solutions, announced the addition of new artificial intelligence (AI) and automation features to its Acuity software to address the data protection challenges often faced in large-scale hyperconverged infrastructure (HCI) deployments. These capabilities provide unprecedented resilience for large multi-petabyte environments, allowing customers who experience catastrophic hardware failures to quickly recover while ensuring high-availability with auto-healing, quick node rebuild and intelligent monitoring and analytics.
“Customers are increasingly required to manage massive amounts of data generated by video surveillance, both for long term retention and for analysis with video analytics,” said Ben Bolles, Vice President of Product Management, Pivot3.
Business Policy Management
Pivot3 uses AI and machine learning to understand application performance"
“The sheer scale of the infrastructure needed to support these use cases presents new resilience challenges, and organisations are increasingly concerned about capturing, protecting and capitalising on this mission-critical data. Pivot3 is meeting this growing challenge with new automation and intelligence capabilities to provide customers with peace of mind, knowing their system is resilient, secure and always available.” At the core of Pivot3’s Acuity software platform is the Pivot3 Intelligence Engine.
The Intelligence Engine comprises many advanced data- and performance-management capabilities, including its market leading Business Policy Management feature. This enables customers to map business objectives to resource management through simple policies. Pivot3 uses AI and machine learning to understand application performance, protection and security requirements and to make real-time system changes so SLAs are met. The Intelligence Engine also monitors system health and performs predictive maintenance to ensure maximum system availability.
Improved system health
This automates time consuming systems administration and maintenance tasks to reduce operating expenses and to allow organisations to scale without adding additional IT resources. Pivot3’s Intelligence Engine now includes a suite of new auto-healing capabilities. Designed to automate human decisions and tasks, the new features replace manual recovery processes by automatically adding a node back to a cluster once it has recovered from a failure. Pivot3 has also introduced a quick node rebuild feature to reduce repair times up to 90 percent and to eliminate the need for a time-consuming full node rebuild.
New AI and machine learning techniques analyse phone-home data and alert the customer
This significantly lowers the risk of a second failure. Other enhancements to the Intelligence Engine include intelligent automation, AI and analytics for proactive system health, configuration optimisation and support. These additional system analytics and diagnostics provide customers with improved system health and performance and the ability to automatically share information to Pivot3’s Support Cloud.
AI and machine learning
Proactive system monitoring flags events in real-time with on-alarm dispatch to Pivot3 Support and provides daily status reports. New AI and machine learning techniques analyse phone-home data and alert the customer to options if a system is not in compliance with best practices.
“With the real-time system monitoring, Pivot3 Support now alerts my team to unforeseen failures and provides remediation,” said Jeremiah Francis, Director of Information Technology at Financial Advocates. “Additionally, receiving daily system health and configuration status reports allows us to ensure our system is running at peak performance; we can now more easily resolve potential points of failure and optimise for success.”
