Tivoli Endpoint Manager

IBM BigFix formerly IBM Endpoint Manager, Tivoli Endpoint Manager (TEM) and before that, BigFix, is a systems-management software product developed by IBM for managing large groups of computers running Windows, Mac OS X, VMware ESX, Linux or UNIX, as well as various mobile operating systems such as Windows Phone, Symbian, iOS and Android. IBM Endpoint Manager provides system administrators with remote control, patch management, software distribution, operating system deployment, network access protection and hardware and software inventory functionality.

The software is the result of the integration of assets acquired from BigFix into the IBM portfolio, and extends IBM's capabilities to manage the security and compliance of servers, desktops, roaming laptops, and point-of-sale devices, such as ATMs and self-service kiosks. The software combines endpoint and security management into a single solution and enables organizations to see and manage physical and virtual endpoints.

IBM BigFix has the following capabilities:

IBM BigFix, Fixlet messages are the method by which software, patches, and configurations are deployed to managed clients. Fixlet messages use an IBM BigFix-specific query language called the Relevance Language to apply only to computers that meet an administrator-defined criterion. If a client is found to meet that criterion then another part of the Fixlet message called the Action Script determines what change is made to the client as a result of its failing to meet applicability criteria.

The Relevance Language is a query language created by BigFix, Inc. prior to being purchased by IBM, and is used by the BigFix platform. The purpose of the relevance language is to provide an interface by which properties of a client (such as cpu, disk space, etc.) could be retrieved. The value of the relevance language is that it, to a certain extent, abstracts away platform-specific query mechanisms like WMI, /Proc, and SIM. This allows an operator to learn one query language that works across all supported platforms. In addition to cross platform compatibility, relevance is an extremely efficient query language, often responding up to hundreds of times faster than native alternatives, such as WMI.

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