Comprehensive monitoring for Azure Site Recovery now available

Leipzig, 02/13/2018 – Azure Site Recovery is an all-encompassing service for your migration and disaster recovery needs. Customers rely on Azure Site Recovery to protect their mission critical IT systems, maintain compliance, and ensure that their businesses are not impacted adversely in the event of a disaster.

Monitoring for something as critical should not to be so difficult. The comprehensive monitoring capabilities within Azure Site Recovery gives you full visibility into whether your business continuity objectives are being met. Not just that, with a failover readiness model that monitors resource availability and suggests configurations based on best practices, it also helps inform how prepared you are to react to a disaster today.
 


Monitoring for Azure Site Recovery (Source: https://azure.microsoft.com/en-us/blog/azure-site-recovery-monitoring/)

What is new?

  • Enhanced vault overview page: The new vault overview page features a dashboard that presents everything you need to know to understand if your business continuity objectives are being met. In addition to the information needed to understand the current health of your business continuity plan, the dashboard features recommendations based on best practices and in-built tooling for troubleshooting issues that you might be facing.

  • Replication health model: Continuous, real time monitoring of replication health of servers based on an assessment of a wide range of replication parameters.

  • Failover readiness model: A failover readiness model based on a comprehensive checklist of configuration and disaster recovery best practices, and resource availability monitoring, to help gauge your level of disaster preparedness.

  • Simplified troubleshooting experience: Start at the vault dashboard and dive deeper using an intuitive navigational experience to get in depth visibility into individual components, and additional troubleshooting tools including a brand new dashboard for replicated machines.

  • In-depth anomaly detection tooling to detect error symptoms, and offer prescriptive guidance for remediation.

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