itanalyzer Data Protection Module

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iTAnalyzer

Data Protection

Module

Pablo Horenstein, iTAnalyzer VP Pre-Sales

[email protected]

Jan 2015

For further information please contact:

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Module Description

The module is part of iTanalyzer solution package which is the first vendor-agnostic proactive analytical tool

that datacenter management decision-makers can use to improve their datacenter infrastructure.

The uniqueness of iTAnalyzer lies with the Holistic Automated Pro-Active Analytics Engine (Patent-Pending)

which correlate the relationships between heterogeneous and multi-layer IT infrastructure systems,

implementing a Pro-Active approach methodology of analyzing outcomes of IT Hardware and Software

infrastructure product results, setups, configurations, policies and connectivity.

iTAnalyzer applies an analytic engine with embedded and sophisticated rules (Patent-Pending), generating

invaluable information regarding wise usage of IT infrastructure investments, Resource allocation-to-usage

efficiency, IT alignment to defined SLA’s , Service availability and Data Recovery risks.

The system structure is based on five main pillars covering major aspects of modern Datacenter infrastructure

environments and in this document we will explain the Data Protection Module.

iTAnalyzer analytical software solution used to discover, collect and analyze organizational information,

reporting and presenting the following deliveries to address the complexity and cumbersome management

and operation of organizational Data Protection.

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Product Uniqueness is reflected in a comprehensive data collection , enabling correlation of information at

different IT layers ,presenting holistic analysis of Data Protection implementation and data coverage

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Data correlation between information located in multiple data sources ,finding deficiencies by cross checking

data between data repositories, backup systems, Data Protection policies, actual status and results

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The Module provides holistic view with insight to operational staff, management roles and decision-making

exec roles to deal with problems, anomalies, risks and compliance issues concerning to data protection.

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The Module enables effective communication between the CIO, Director of Infrastructure , IT Manager and IT

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Module Benefits

 Serve as a management control system to the overall organizational data protection system

 Highlight gaps between existing data protection status and organizational policies and Compliance

 List existing data uncovered by organizational data protection policies

 Discover problems, anomalies and deficiencies in the data protection process

 Identify risks of being unable to retrieve information from the data protection systems

 Provide a unified solution to heterogeneous Data Protection systems

 Deliver analytical and financial information beyond standard operational information

Module Components

The Data Protection module is based on daily data flow comprised of three main steps

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Data Collection: Perform commands, parsing configuration files, monitoring status, identifying relationships

while collecting unique information directly from data sources including storage arrays, file servers, computing servers, operating systems, virtual systems, backup systems, file systems and databases

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Data Analysis: Implement a sophisticated analytical engine on a daily basis, provided with embedded rules

applied to the collected data in order to discover failures, deficiencies, anomalies, data retrieve risks, data protection coverage and compliance

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Reporting: Identify Data Protection risks and gaps between actual and required status while presenting a

visualized dashboard and in-depth information represented by tables, charts, graphs, alerts and reports in a pro-active method

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Interoperability with Backup Systems

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Act as an ultimate corporate tool to ensure that backup systems are been used effectively to provide data

protection and potential data recovery to ALL the data used by servers, file systems, databases and applications in a well-defined organizational backup policy.

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Protect the organization from frequent changes produced in dynamic organizations, characterized by actions

such as allocate or de-allocated new storage space, add or de-commission servers, add or delete file systems, add or discard databases – acting as root cause of risk of data loss and un-efficient Backup process.

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Identify Human errors of IT infrastructure staff, such as System admin, Backup admin and DBA when defining

actions related to backup policies implementing organizational data protection to be aligned to internal rules and regulations.

Module Information Gathering from Data Protection Systems

 List of known servers in the organization compared to servers covered by backup systems

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List of files and databases on servers not covered or defined by backup policies

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Backup process and related list of success, segmented by different types of failures or partial success

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Long-term data display of historical levels of backups for a given range of dates

Module Delivery examples

 Discover new servers by scanning network segments and finding unknown objects in backup systems

 Identify known servers recognized by IT Analyzer but unknown to backup systems

 Find file systems and databases not covered by backup system policies

 List of backup failures segmented by categories (e.g. missing agent, missing backup window ...)

 Data correlation between storage allocation, Data usage and Data Protection.

 Historical information and a calendar view results of backup process and results

 Export Information in different formats combined with automated reporting system

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