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000-252 Web Sphere Application Server Network Deployment V6.0, Core Administration

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000-252 exam Dumps Source : Web Sphere Application Server Network Deployment V6.0, Core Administration

Test Code : 000-252
Test Name : Web Sphere Application Server Network Deployment V6.0, Core Administration
Vendor Name : IBM
: 109 Real Questions

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IBM Web Sphere Application Server

IBM WebSphere application Server 7.5/eight.0/eight.5/9.0 Admin Console CPU Exhaustion denial of carrier | Real Questions and Pass4sure dumps

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how to install Tomcat as your Java application server | Real Questions and Pass4sure dumps

in case you’re attracted to doing Java based mostly web construction, you’re greater than probably going to should installation Tomcat. This Tomcat setting up tutorial will take you throughout the prerequisites, exhibit you where to down load Tomcat, support you configure the requisite Tomcat atmosphere variables and eventually kick off the Tomcat server and run a couple of example Servlets and JSPs to show the setting up was a success.

Tomat prerequisites

To installation Tomcat, the necessities are minimal. All you need is a version 1.8 setting up of the JDK or more recent with the JAVA_HOME ambiance installation, and optionally the JDK’s bin folder added to the home windows path. here's a Java installation tutorial if that prerequisite is yet to be met.

if you're doubtful as to whether the JDK is installed, or what edition it's at, simply open up a command on the spot and kind java -version. If the JDK is installed, this command will display version and build details.

C:\illustration\tomcat-set up\bin>java -versionjava edition "1.8.0" Java(TM) SE Runtime ambiance (build pwa6480sr3fp20-20161019_02(SR3 FP20)) IBM J9 VM (build 2.8, JRE 1.eight.0 windows 10 amd64-64 Compressed References 20161013_322271 (JIT enabled, AOT enabled) J9VM - R28_Java8_SR3_20161013_1635_B322271 JIT - GC - R28_Java8_SR3_20161013_1635_B322271_CMPRSS J9CL - 20161013_322271) JCL - 20161018_01 in keeping with Oracle jdk8u111-b14 download Tomcat

Tomcat can be acquired from the task’s down load web page on the discover the zip file that fits your desktop’s structure. This example is being carried out on a sixty four-bit home windows Xeon computer, so I actually have chosen the sixty four-bit alternative.

Unzip the file and rename the folder tomcat-9. Then copy the tomcat-9 folder out of the \downloads directory and right into a more correct area for your data device. in this Tomcat tutorial, I movement the tomcat-9 folder into the C:\_tools directory.

Tomcat Home

Tomcat setting up home directory

Tomcat ambiance variables

purposes that use Tomcat seek out the software server’s place by using inspecting the price of the CATALINA_HOME atmosphere variable. So create a brand new ambiance variable named CATALINA_HOME and have it aspect to C:\_tools\tomcat

To make Tomcat utilities corresponding to startup.bat and shutdown.bat universally available to command prompts and Bash shells, that you would be able to put Tomcat’s \bin directory on the windows route, but this is not required.


Set CATALINA_HOME for Tomcat installation

how to birth the Tomcat server

At this factor, it's time to start Tomcat. without difficulty open a Command prompt in Tomcat’s \bin directory and run the startup.bat command. this can delivery Tomcat and make it purchasable through http://localhost:8080

illustration@tutorial MINGW64 /c/example/tomcat-9/bin$ ./startup.batUsing CATALINA_BASE: “C:\_tools\tomcat-9”the use of CATALINA_HOME: “C:\_tools\tomcat-9”the use of CATALINA_TMPDIR: “C:\_tools\tomcat-9\temp”the use of JRE_HOME: “C:\IBM\WebSphere\AppServer\java\eight.0”the usage of CLASSPATH: “C:\_tools\tomcat-9\bin\bootstrap.jar;C:\_tools\tomcat-9\bin\tomcat-juli.jar”

After verifying that the Apache Tomcat landing web page seems at localhost:8080, navigate to http://localhost:8080/examples/jsp/ and look for the option to execute the Snoop servlet. This Tomcat illustration Servlet will print out quite a lot of details about their browser and your HTTP request. Some values may additionally come back as null, but that's ok. so long as the web page seems, you have got validated the veracity of the Tomcat install.

verify tomcat install

Tomcat setting up verification

And that’s it. That’s all there's to installation Tomcat on a windows computer.

IBM continues to bet on Java with WebSphere Liberty | Real Questions and Pass4sure dumps

IBM has announced the latest unlock of WebSphere Liberty, its Java software server answer. The company says WebSphere Liberty is essentially the most big functional unlock in years, and is derived with the primary compliant Java business version (EE) 8 runtime.

“over the last 22 years, Java has remained a appropriate programming language, and it continues to swiftly evolve for the cloud-native era. IBM is dedicated to staying on the forefront of Java building in order that their valued clientele benefit from the very newest Java EE and Spring expertise updates,” Denis Kennelly, GM of cloud integration at IBM, wrote in a publish.

WebSphere Liberty is in line with the open source Open Liberty task, IBM’s greatest open source contribution to date, the business explained. “It brings collectively the newest Java EE and MicroProfile applied sciences to provide a strong foundation for valued clientele who need to build cloud-native functions,” Kennelly wrote. “Open Liberty forms the open source foundation on which IBM WebSphere Liberty is built.”

The latest release facets probably the most recent Java EE 8 applied sciences and MicroProfile aspects. “These applied sciences, hosted in supply kind in GitHub and delivered as a part of WebSphere Liberty, are designed to help consumers swiftly radically change critical corporations applications based on new market opportunities. they are additionally asserting that we've turn into the first seller to circulate the Java EE eight compatibility tests, certifying WebSphere Liberty ahead of any one else,” Kennelly explained.

furthermore, Kennelly announced as part of the transition to a cloud native period, the enterprise is launching a series of developer courses on the Open Liberty web page. The book will give an intro to Java EE and MicroProfile facets, deliver pattern code, and provides builders new tips on how to construct microservices and cloud native options.

Open Liberty is also being updated with extra help for Spring Apps. “decreasing deployment sizes and times when running Spring in Docker containers has been a sizzling subject within the Spring community. With new tooling in Liberty, we’ve offered the first supported direction to enable Spring functions to take abilities of the inherent layering that containers give,” Kennelly wrote.

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Web Sphere Application Server Network Deployment V6.0, Core Administration

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The Big Data Trade-Off | real questions and Pass4sure dumps

This chapter is from the book 

Because of the incredible task of dealing with the data needs of the World Wide Web and its users, Internet companies and research organizations realized that a new approach to collecting and analyzing data was necessary. Since off-the-shelf, commodity computer hardware was getting cheaper every day, it made sense to think about distributing database software across many readily available servers built from commodity parts. Data processing and information retrieval could be farmed out to a collection of smaller computers linked together over a network. This type of computing model is generally referred to as distributed computing. In many cases, deploying a large number of small, cheap servers in a distributed computing system can be more economically feasible than buying a custom built, single machine with the same computation capabilities.

While the hardware model for tackling massive scale data problems was being developed, database software started to evolve as well. The relational database model, for all of its benefits, runs into limitations that make it challenging to deploy in a distributed computing network. First of all, sharding a relational database across multiple machines can often be a nontrivial exercise. Because of the need to coordinate between various machines in a cluster, maintaining a state of data consistency at any given moment can become tricky. Furthermore, most relational databases are designed to guarantee data consistency; in a distributed network, this type of design can create a problem.

Software designers began to make trade-offs to accommodate the advantages of using distributed networks to address the scale of the data coming from the Internet. Perhaps the overall rock-solid consistency of the relational database model was less important than making sure there was always a machine in the cluster available to process a small bit of data. The system could always provide coordination eventually. Does the data actually have to be indexed? Why use a fixed schema at all? Maybe databases could simply store individual records, each with a different schema, and possibly with redundant data.

This rethinking of the database for an era of cheap commodity hardware and the rise of Internet-connected applications has resulted in an explosion of design philosophies for data processing software.

If you are working on providing solutions to your organization’s data challenges, the current era is the Era of the Big Data Trade-Off. Developers building new data-driven applications are faced with all manner of design choices. Which database backend should be used: relational, key–value, or something else? Should my organization build it, or should they buy it? How much is this software solution worth to me? Once I collect all of this data, how will I analyze, share, and visualize it?

In practice, a successful data pipeline makes use of a number of different technologies optimized for particular use cases. For example, the relational database model is excellent for data that monitors transactions and focuses on data consistency. This is not to say that it is impossible for a relational database to be used in a distributed environment, but once that threshold has been reached, it may be more efficient to use a database that is designed from the beginning to be used in distributed environments.

The use cases in this book will help illustrate common examples in order to help the reader identify and choose the technologies that best fit a particular use case. The revolution in data accessibility is just beginning. Although this book doesn’t aim to cover every available piece of data technology, it does aim to capture the broad use cases and help guide users toward good data strategies.

More importantly, this book attempts to create a framework for making good decisions when faced with data challenges. At the heart of this are several key principles to keep in mind. Let’s explore these Four Rules for Data Success.

Build Solutions That Scale (Toward Infinity)

I’ve lost count of the number of people I’ve met that have told me about how they’ve started looking at new technology for data processing because their relational database has reached the limits of scale. A common pattern for Web application developers is to start developing a project using a single machine installation of a relational database for collecting, serving, and querying data. This is often the quickest way to develop an application, but it can cause trouble when the application becomes very popular or becomes overwhelmed with data and traffic to the point at which it is no longer acceptably performant.

There is nothing inherently wrong with attempting to scale up a relational database using a well-thought-out sharding strategy. Sometimes, choosing a particular technology is a matter of cost or personnel; if your engineers are experts at sharding a MySQL database across a huge number of machines, then it may be cheaper overall to stick with MySQL than to rebuild using a database designed for distributed networks. The point is to be aware of the limitations of your current solution, understand when a scaling limit has been reached, and have a plan to grow in case of bottlenecks.

This lesson also applies to organizations that are faced with the challenge of having data managed by different types of software that can’t easily communicate or share with one another. These data silos can also hamper the ability of data solutions to scale. For example, it is practical for accountants to work with spreadsheets, the Web site development team to build their applications using relational databases, and financial to use a variety of statistics packages and visualization tools. In these situations, it can become difficult to ask questions about the data across the variety of software used throughout the company. For example, answering a question such as “how many of their online customers have found their product through their social media networks, and how much do they expect this number to increase if they improved their online advertising?” would require information from each of these silos.

Indeed, whenever you move from one database paradigm to another, there is an inherent, and often unknown, cost. A simple example might be the process of moving from a relational database to a key–value database. Already managed data must be migrated, software must be installed, and new engineering skills must be developed. Making smart choices at the beginning of the design process may mitigate these problems. In Chapter 3, “Building a NoSQL-Based Web App to Collect Crowd-Sourced Data,” they will discuss the process of using a NoSQL database to build an application that expects a high level of volume from users.

A common theme that you will find throughout this book is use cases that involve using a collection of technologies that deal with issues of scale. One technology may be useful for collecting, another for archiving, and yet another for high-speed analysis.

Build Systems That Can Share Data (On the Internet)

For public data to be useful, it must be accessible. The technological choices made during the design of systems to deliver this data depends completely on the intended audience. Consider the task of a government making public data more accessible to citizens. In order to make data as accessible as possible, data files should be hosted on a scalable system that can handle many users at once. Data formats should be chosen that are easily accessible by researchers and from which it is easy to generate reports. Perhaps an API should be created to enable developers to query data programmatically. And, of course, it is most advantageous to build a Web-based dashboard to enable asking questions about data without having to do any processing. In other words, making data truly accessible to a public audience takes more effort than simply uploading a collection of XML files to a privately run server. Unfortunately, this type of “solution” still happens more often than it should. Systems should be designed to share data with the intended audience.

This concept extends to the private sphere as well. In order for organizations to take advantage of the data they have, employees must be able to ask questions themselves. In the past, many organizations chose a data warehouse solution in an attempt to merge everything into a single, manageable space. Now, the concept of becoming a data-driven organization might include simply keeping data in whatever silo is the best fit for the use case and building tools that can glue different systems together. In this case, the focus is more on keeping data where it works best and finding ways to share and process it when the need arises.

Build Solutions, Not Infrastructure

With apologies to true ethnographers everywhere, my observations of the natural world of the wild software developer have uncovered an amazing finding: Software developers usually hope to build cool software and don’t want to spend as much time installing hard drives or operating systems or worrying about that malfunctioning power supply in the server rack. Affordable technology for infrastructure as a service (inevitably named using every available spin on the concept of “clouds”) has enabled developers to worry less about hardware and instead focus on building Web-based applications on platforms that can scale to a large number of users on demand.

As soon as your business requirements involve purchasing, installing, and administering physical hardware, I would recommend using this as a sign that you have hit a roadblock. Whatever business or project you are working on, my guess is that if you are interested in solving data challenges, your core competency is not necessarily in building hardware. There are a growing number of companies that specialize in providing infrastructure as a service—some by providing fully featured virtual servers run on hardware managed in huge data centers and accessed over the Internet.

Despite new paradigms in the industry of infrastructure as a service, the mainframe business, such as that embodied by IBM, is still alive and well. Some companies provide sales or leases of in-house equipment and provide both administration via the Internet and physical maintenance when necessary.

This is not to say that there are no caveats to using cloud-based services. Just like everything featured in this book, there are trade-offs to building on virtualized infrastructure, as well as critical privacy and compliance implications for users. However, it’s becoming clear that buying and building applications hosted “in the cloud” should be considered the rule, not the exception.

Focus on Unlocking Value from Your Data

When working with developers implementing a massive-scale data solution, I have noticed a common mistake: The solution architects will start with the technology first, then work their way backwards to the problem they are trying to solve. There is nothing wrong with exploring various types of technology, but in terms of making investments in a particular strategy, always keep in mind the business question that your data solution is meant to answer.

This compulsion to focus on technology first is the driving motivation for people to completely disregard RDBMSs because of NoSQL database hype or to start worrying about collecting massive amounts of data even though the answer to a question can be found by statistical analysis of 10,000 data points.

Time and time again, I’ve observed that the key to unlocking value from data is to clearly articulate the business questions that you are trying to answer. Sometimes, the answer to a perplexing data question can be found with a sample of a small amount of data, using common desktop business productivity tools. Other times, the problem is more political than technical; overcoming the inability of admins across different departments to break down data silos can be the true challenge.

Collecting massive amounts of data in itself doesn’t provide any magic value to your organization. The real value in data comes from understanding pain points in your business, asking practical questions, and using the answers and insights gleaned to support decision making.

Rockwell Automation Adds Mobile Capabilities to its FactoryTalk VantagePoint Enterprise Manufacturing Intelligence Software | real questions and Pass4sure dumps

ANAHEIM, Calif., Nov. 19, 2014 — Manufacturers now have the freedom to use any digital device to easily access optimized performance metrics and data analytics from plant floors and machines, thanks to new capabilities embedded in the FactoryTalk VantagePoint EMI v6.0 software from Rockwell Automation.

The VantagePoint v6.0 software now includes VantagePoint mobile, a component that enables users to create displays and interact with data across any HTML5-compliant browser and mobile platforms, such as iOS and Android. Users can now easily log in to the VantagePoint system and automatically view Web-based KPI content that is responsive to the device they are using – from smartphones to tablets to PCs. This is a significant change from the conventional, costly and time-consuming approaches that enable desktop or mobile access to manufacturing data. No user-specific configurations created by network administrators or IT staff are required, enabling manufacturers to quickly on-board more users and deliver value to increase productivity.

“The VantagePoint mobile component instantly detects the type of device being used to access information and adjusts the user experience for that screen,” said Angela Rapko, product manager for FactoryTalk VantagePoint software, Rockwell Automation. “This out-of-the-box solution will enable more users to access valuable operational insight while lowering the cost of delivering that data.”

Another new key capability is the “composer” feature, which allows VantagePoint v6.0 users to browse through data and easily customize content based on individual roles, priorities and viewing preferences. Using the software’s drag-and-drop interactive tools, users can create personalized displays to quickly find the information that is most important to them. The “favorites” capability also allows users to configure KPI data in the visual formats they prefer, from bar graphs to gauges to plant maps. They can then save the data or share it with a group using the VantagePoint mobile component.  

“Customers have expressed a big need to drive usage of data across their organization for frictionless productivity,” said Kyle Reissner, mobility platform leader, Rockwell Automation. “With portability in mind, they wanted users to be able to move between devices seamlessly, allowing them to be more responsive and reducing time to solution. The VantagePoint mobile component is now at the core of the FactoryTalk VantagePoint software to deliver this ease of use.”

For OEMs, this streamlined connectivity provides the framework for delivering an information-enabled machine. Plus, they gain the ability to visualize data without the need for custom development.

For system administrators and integrators, improved diagnostics built into the VantagePoint v6.0 software on the server side – as well as more application-centric data sources – allow them to view and display the overall health of the system and specific applications. The VantagePoint v6.0 software also includes improved tag-provider templates to allow anyone initially building the model and applications – whether a system administrator or a customer – to accelerate design and deployment time.

All users will benefit from the flexibility of receiving and applying the VantagePoint software updates without having to uninstall, re-install and, in some cases, re-validate their current application.

“With the VantagePoint mobile framework, they intend to release software updates more frequently, including new display widgets and capabilities,” Reissner said. “We’re focused on eliminating friction, realizing productivity value, and ensuring users are able to do more with fewer barriers.”

About Rockwell AutomationRockwell Automation Inc. (NYSE: ROK), the world’s largest company dedicated to industrial automation and information, makes its customers more productive and the world more sustainable. Headquartered in Milwaukee, Wis., Rockwell Automation employs about 22,500 people serving customers in more than 80 countries.

Media ContactsPaula PuessRockwell Automation440.646.3806[email protected]  

Anne NeubauerPadillaCRT612.455.1917[email protected] 

FactoryTalk, LISTEN. THINK. SOLVE. and VantagePoint are trademarks of Rockwell Automation Inc. iOS is a trademark of Cisco Systems Inc. Android is a trademark of Google Inc.

Patch-management products move toward remediation | real questions and Pass4sure dumps

Patch-management products have evolved from simply pushing out patches to now encompassing more preemptive security measures, including manipulating security configuration settings, deploying standard software packages, maintaining policy compliance and taking an active role in vulnerability remediation.

BigFix Enterprise Suite came out on top as the Clear Choice winner, performing well in all categories and standing out in ease of use and customization capabilities. McAfee's Hercules was a close second, falling slightly behind in its customization capabilities. PatchLink Update rounds out the top three. While it lacks some native support for advanced customization and reporting capabilities they were looking for in a product of this class, PatchLink does make these functions available in add-on components.

We tested five key areas of each product:

* Remediation functionality tests exercised how well a product could remedy a system issue through support for the operating system overall, via patches, registry key and other configuration changes. Additionally they assessed how it facilitated manual and scheduled remediation tasks and whether it offered the ability to create custom remediation tasks.

* Remediation ticketing/workflow tests examined how well a product could implement a remediation process, including end-to-end management of the cycle.

* Reporting tests evaluated how well a product could provide useful information, through default and custom reports, on remediation tasks to administrators and management personnel.

* Access-control tests examined how access to the product could be controlled, focusing on flexibility, granularity and integration with standard enterprise user repositories.

* Product management and administration tests focused on what you need to do to use the product on a daily basis and keep it running.

Here are the details of how each product fared in their testing (see "How they did it" for a detailed test methodology).


The Altiris Client Security Management Suite 6.1 comprises SecurityExpressions -- a tool that provides the ability to check security configuration and compliance settings and then remediate those issues, via Endpoint Security, Local Security and Application Control modules. Patch Management is provided as a separate component. This combination of modules runs on the foundation architecture called the Altiris Notification Server. They focused on the SecurityExpressions and Patch Management components because that combination fulfilled the test criteria.

Altiris' combined modules handled all the basic remediation functionality they were looking for, excelling in the ability to create custom checks, such as for a specific registry key setting, and remediation actions, such as changing a registry key setting.

SecurityExpressions is not fully integrated into the Altiris system. For example, policy development in SecurityExpressions still occurs through a separate console, but policy checks can be seen in the Altiris console. Because SecurityExpressions is the heart of vulnerability remediation, they would like to see these fully integrated so that creation of policy and configuration checks follow the same interface and process as other Altiris products.

Likewise, they would like to see Patch Management included as part of the overall Client Security Management Suite, because it is an integral piece of the remediation scheme.

Management of all the modules occurs through a Web-based console, which was cumbersome to use. It was difficult to perform simple tasks, such as scheduling a patch deployment. The management console provides several dashboards showing charts and graphs, such as missing patches based on criticality. The graphs do not provide the ability to directly drill down to see the corresponding data. This would be a nice addition to make the process of identifying security details more efficient.

Patch-deployment settings, including reboot control and user notification, are handled through configuration policies. Administrators define a policy on how patches should be deployed. This is good if your settings are the same for every deployment, but requires some additional work if you need to deploy a patch comprising different settings. They had a hard time finding the settings in the console and documentation, a condition which required that they contact customer support.

We also must note that Altiris does not support more advanced patch-deployment options available in other products, such as pause or deferral.

Access control is tied to the underlying Windows groups and is administered from the product console, so it is easy to integrate with enterprise roles and identity management processes. A few default roles, such as Administrator and Guest, are included, and administrators can create their own custom roles. Permissions are assigned to each of the roles and can be very detailed.

However, the user interface for setting security permissions means there is some lack of centralized control. You grant access from the properties tab for different objects as opposed to defining access control from a centralized point. For example, if you want to provide access to reports, you go to the Reports permission tab and make the necessary changes.

The reporting engine provides basic functionality but could be improved. They were able to schedule report runs and create standard reports showing missing Windows patches and remediation actions taken. Exporting reports is not available within the management console. A separate utility called ImportExportUtil is available to export data from the notification server. Trend reports should be available in the next version, according to the vendor.


The BigFix Enterprise Suite comprises the BigFix Server and management console, with agents running on client systems. The management console is a thick-client console that runs on most Windows platforms and is accessed by administrators with the appropriate credentials. Reports are available through a Web-based reporting system. For testing, they installed all management components on a single server, but they can be distributed and scaled easily.

BigFix easily handled basic remediation functions in this test. While the product supports hundreds of system checks out of the box, BigFix excels in its ability to support custom checks and custom deployments. Administrators can create customized Fixlets, the BigFix term for checks and remediation actions, with almost infinite possibility.

Usability also is a big win for BigFix, with easy right-click selection for deploying a fix on the fly. Actions can be scheduled and security baselines defined to ensure systems adhere to defined policies and standards. In their testing, BigFix was the easiest product to navigate and use.

BigFix provided the best options for deploying patches, covering the standard reboot notification and user suppression options. BigFix also provided some options not available in other products they reviewed, such as the ability to define a specific system criteria or attribute to provide additional detail controls for the remediation measures they were deploying. For example, they were able to define that a system must match a specific Active Directory path before the desired remediation action would take place.

There is a wizard available to create a patch-deployment rollback, which helps ease the process but is a little cumbersome.

One area where BigFix could use some improvement is access control. The product includes only three roles and offers only the ability to control a few user privileges.

The Web-based reporting system was the best they tested, providing an intuitive interface to create standard reports and flexibility to create custom reports. Reports can be exported to multiple formats and scheduled, with results e-mailed upon completion.

BigFix's visualization tool is an added bonus that maps your network into a sphere for better viewing. This provides the ability to identify changing trends in your environment, such as visualizing which systems do not have a specific patch installed. This could help assist in pinpointing a network segment or remote office that is not updating properly.

McAfee (formerly Citadel)

Hercules, which has always been a remediation product at its core, comprises the core Hercules Server; the Channel Server, which handles communication with the core server; and the Download Server, which stays in sync with new vulnerabilities and remedies made available by the company. The product uses Microsoft's SQL Reporting Services as its report engine. The Hercules agent resides on client systems.

The management interface was one of the easiest tested. One of the best features was the quick-start module that walked us through all the key actions needed to use the system, such as deploying agents, performing system inventory, launching security assessments and creating reports. The documentation provided by Hercules was excellent, accurate and easy to follow, serving as a great resource through their review process.

Access control is the strength of the McAfee package. Custom roles can be created, with each role having the ability to be assigned any subset of more than 70 identified tasks. This provides the flexibility to create access controls that best fit with an organization's structure. For example, you can create a role for a subset of your Windows server-management team and provide team members only the specific tasks they need to perform.

Remediation functions worked well, supporting all of their key actions. One note is that while Hercules supports the creation of custom remedies, detection is not as easily defined as in other products tested. For example, you can create a remedy to run a script or change a registry key setting, but you cannot easily create a custom vulnerability check to define how to examine the system to see whether the remediation action needs to be performed.

Deployments of remediation actions were easy to perform, for both manual and scheduled tasks. For manual tasks, you select the option from the right-click menu; for scheduled tasks, you only have to walk through a wizard.

For patch-deployment options, Hercules supports standard settings, such as user deferral and user messages, but it does not support some of the advanced options, such as limiting number of deferrals or amount of time to delay a remediation action.

Reporting is one area where Hercules could use some improvement. The ability to schedule canned reports and create custom reports is available, but those tasks are done through SQL Reporting Services, not through the Hercules product itself. These tasks should be better integrated into the Hercules console for improved ease of use.


Kace KBOX is an appliance-based solution that combines patch deployment, software distribution, vulnerability assessment and help-desk ticketing services. This product is positioned as an all-in-one solution for the small to midsize enterprise.

Compared with other products they tested, functionality, user interface and reporting capabilities are not as advanced. Administration is handled through a browser-based interface that is not intuitive or easy to navigate without training.

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