HP HPE0-J68 - HPE Storage Solutions

To receive emails about important storage system events and alerts in an HPE 3PAR StoreServ system, the Local Notification Service (LNS) needs to be configured. LNS allows administrators to set up email notifications for various events and alerts, ensuring that they are promptly informed of any critical issues that may arise. This feature is essential for maintaining the health and performance of the storage system by enabling proactive management.

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HPE 3PAR StoreServ Management

The HPE GreenLake for Block Storage Mission-critical service utilizes the HPE Alletra 9000 storage array hardware. The Alletra 9000 is designed for mission-critical applications that require ultra-low latency, high availability, and robust performance. It is ideal for environments where any downtime or data loss could have severe consequences.

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HPE Alletra 9000 Overview

To calculate the required capacity for snapshots after one week for an HPE Alletra 9000, we start by understanding the customer’s requirements:

Base volume size: 100TB

Snapshots: 168 snapshots per week

Daily change rate: 15%

The snapshot capacity requirement can be calculated by taking 15% of the base volume size per day, and multiplying it by the number of days (7 days in a week) and the number of snapshots per day.

Daily change: 15% of 100TB = 15TBTotal change over a week: 15TB * 7 days = 105TB

Thus, the capacity needed for snapshots after one week is 105TB.

References:

HPE Alletra 9000 Overview

HPE Storage Snapshots

HPE StoreVirtual Network RAID provides redundancy by managing it on a per-volume basis. This means that the level of RAID protection (e.g., Network RAID 0, 10, 10+1, etc.) is set individually for each volume, allowing flexibility in how data protection is applied depending on the importance and performance requirements of the data stored. Unlike traditional RAID, which is managed at the disk level, Network RAID in StoreVirtual VSA allows for more granular control and can be tailored to the specific needs of different workloads.