#aiops

#aiops

In-context performance data to support incident remediation: Instead of siloed, disconnected data across ITSM and several monitoring and observability platforms, New Relic telemetry data and changes flow directly into the Rovo Ops agent. This enables your service agents to quickly detect anomalies and incidents-like a recent commit being modified-without context-switching between multiple tools. AI-suggested fixes based on past incident data:

For years,mainframes were synonymous with stability, but rarely with innovation. That image seems to be changing rapidly. New figures from BMC's annual mainframe survey show that confidence in the future of the platform has never been higher. No less than 97 percent of the professionals surveyed indicate that mainframes will remain part of their IT infrastructure. Increasingly, the system is even seen as a driver for new workloads.

The ever-evolving nature of IT operations and the growing complexity of modern technology environments have clearly spelled the need for AIOps tools. AIOps, or Artificial Intelligence for IT Operations, uses artificial intelligence (AI) and machine learning (ML) technologies to enhance and automate various IT operation tasks. AIOps platforms are designed to analyze and interpret data generated from various IT operations tools and platforms, providing service assurance and insights, automating routine tasks, and helping organizations detect and resolve issues more efficiently.

AIOps, or artificial intelligence operations, streamline and enhance IT operations, akin to a fitness watch for the datacentre, gathering data, analyzing it, and providing insights.

HPE also announced GreenLake Intelligence, an AI framework, intended to automate operational challenges and enhance AIOps with agentic capabilities.

The acquisition of Keep Alerting by Elastic will enhance users' ability to manage alerts and automate workflows, combining the strengths of both technologies.