Operations | Monitoring | ITSM | DevOps | Cloud

Edwin AI and Red Hat Ansible Automation Platform help ITOps teams move from correlated alerts and root cause analysis to governed, auditable remediation. When an outage starts, the first alert is only the first artifact. The harder work follows: grouping related signals, separating symptoms from cause, identifying the affected service, and deciding whether the next action is safe to run.

VMware vSphere is the platform that unifies ESXi and vCenter into a complete solution for running and managing virtual machines. VMware vSphere is not a single product, but a full virtualization platform and product suite that includes ESXi, vCenter, and other tools for managing workloads. It provides the foundation for running virtual machines (VMs) on a hypervisor and gives IT teams the ability to centralize management across multiple servers, clusters, and applications.

AIOps helps IT teams turn operational data into faster decisions, reduced noise, and more efficient incident response.

This is the eighth blog in our Azure Monitoring series, where we look at a challenge many organizations face as Azure and multi-cloud environments expand: monitoring tool sprawl. What starts as a few monitoring solutions for different needs can turn into disconnected dashboards, duplicate alerts, and fragmented visibility.

Self-healing ITOps helps restore services faster by combining AI-driven analysis, automation, and recovery validation. Organizations have invested heavily in monitoring, observability, and AIOps. These platforms are effective at identifying issues, but incident resolution is often still a manual process. Engineers still need to investigate alerts, determine the appropriate remediation, and verify that services have recovered.