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Dino Explorer DASD Lite

By: zCost Management Latest Version: 1.6
Windows
Windows

Product Overview

What's Included

Note: Always ensure your operating system is current for your needs.

This product includes both of the software packages described below:

Dino Explorer DASD Lite

Manage your IBM Mainframes Storage Environment based on RMF and DCOLLECT records information. View many storage groups performance information's like front and back end response time, cache hits, zHPF activities, channel activities, and many others. Before and after scenario comparison. All information in a nice look and feel dashboard where you can filter and sort data according to your environment patterns. Source data covered by the solution: SMF 74 (RMF DEVICE Activity), SMF 78 (RMF I/O QUEUEING Activity) and eventually on Volume records, such as capacity, allocated space, free space, storage groups gathered by DXCOLLECT, Cache - Activity inside the storage (RMF 74.5), Device - Front-end response times (RMF 74.1), Channel - channel path activity (RMF 73), LCU - Hyper-PAV and LCU activity (RMF 78.3), DASD occupation - DCOLLECT "V" records, DASD configuration discovery.

"The SQL Server Amazon Machine Images (AMI) is built, updated, and fully-patched by AWS within five business days of Microsoft's patch Tuesday (the second Tuesday of each month). Launching an instance from this AMI enables you to run the instance as a database server and saves you the effort to install SQL Server software. This AMI comes with following software and drivers including AWS Systems Manager, AWS CloudFormation, AWS Tools for Windows PowerShell, Network drivers, and Storage drivers.

You can use AWS Launch Wizard to easily size, configure, and deployment SQL Server applications on AWS. Launch Wizard for SQL Server supports both single instance and high availability deployments according to AWS and SQL Server best practices."

Version

1.6

Categories

Operating System

Windows, Windows Server 2016 with SQL Server 2016 Express Windows Server 2016

Delivery Methods

  • Amazon Machine Image

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