Lanamark Studio

Overview

Lanamark Studio enables you to analyze applications, desktops, servers and external devices. It allows you to quickly design, configure and price multi-vendor desktop virtualization, server virtualization and storage solutions.

Feature Highlights


Platform-agnostic	Build and compare solutions across virtualization platforms from vendors such as Citrix, Microsoft, Oracle, Parallels and VMware.
Solution Designer	Design desktop virtualization, server virtualization and storage solutions with hardware, software and service components.
Configuration and Pricing	Create and price standard hardware and software configurations to the granularity of part numbers.
Data Fusion	Additional metrics (not available from operating systems) such as form factor, age and warranty remaining, maximum memory, processor features (64-bit, VT), power consumption, heat dissipation and carbon footprint are added during project creation.
Hardware and Software Intelligence	Lanamark maintains an up-to-date library with software, servers, blade enclosures, storage arrays, SAN switches, HBAs, thin clients and other hardware devices that can be used for building virtualization solutions with real-world components and constraints.
Powerful Charts and Reports	Create powerful charts and reports that directly map to project deliverables and can be exported into various document and image formats.
Reporting Automation	Automate generation of reports using plug-in for Microsoft Office Word 2007. Reduce manual effort needed for building customer deliverables by re-using report templates across customer engagements.
Project Templates	Pre-configure reports, solutions and what-if scenarios using project templates. Save time and effort required for performing analyses, reporting and solution design by having data from each customer dynamically populated into project templates. Project templates can be easily shared among consultants to ensure that services are delivered efficiently, quickly and consistently.
Advanced Modeling	Accurately size workloads using key performance metrics. Normalize processor usage by taking into account processor architectures, rather than relying solely on Megahertz. Optimally balance virtual machines to maximize performance and minimize resource contention. Automatically size virtual disks and optimize either the size or the number of LUNs. Model platforms more accurately by taking into account elements such as virtualization overhead and platform features such as page sharing.