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Test Number : 000-294
Test Name : IBM WebSphere MQ V5.3 System Administration
Vendor Name : IBM
: 142 Dumps Questions

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IBM WebSphere MQ V5.3 System Administration book

general Usages of home equipment | 000-294 Dumps and Real test Questions with VCE Practice Test

This chapter is from the ebook 

while the home equipment are reasonably versatile and might for that reason be used to solve a variety of types of complications (and implementers have been somewhat inventive during this regard), they locate there are just a few ordinary use situations which are ordinary. These commonly focus round protection, efficiency, cost reductions, and integration. In here sections, they focus on every of those in more element.

fixing security issues

Let’s suppose about what it could take to install a application-based mostly proxy product in the DMZ. each and every of the layers of the ‘general server’ proven in determine 1-2 requires really good expertise to deploy and retain. especially for DMZ deployments, the server hardware itself should be hardened. In highly cozy environments, this can involve removing any components that may allow information to be taken from the server, equivalent to USB ports and writeable CD/DVD drives. The working system have to even be hardened, eliminating accessories corresponding to telnet and sendmail.three commonly, this consequences in other layers of the utility stack now not installing or working thoroughly! when you are successful in installing the application software stack, it ought to be hardened as neatly. These are usual necessities for top protection environments corresponding to fiscal agencies, intelligence capabilities, and army functions.

despite the fact utility-based DMZ add-ons can be hardened successfully, it is lots of work. evaluate this with the simplicity of installation a committed, highly cozy hardware equipment, goal built to do a couple of issues well with pretty essential administrative interfaces, as proven in figure 1-3.

The appliances are hardened out of the container. for instance:

  • they're designed with protection in intellect from the floor up, before anything else.
  • they're shipped comfortable through default; basically each feature is disabled, including the community adapters and administrative interfaces (aside from the serial port used to do preliminary bootstrap). in case you want whatever thing, you ought to turn it on!
  • they've an encrypted file device.
  • They don't have any Java, print functions, or shareable file equipment.
  • they are tamper-proof—chickening out the screws on the case disables the appliance.
  • they've specialized cozy coping with of crypto keys and certificates.
  • they have got an embedded working equipment, not prone to ordinary exposures of normal OSs.
  • They reject messages by default, unless exceptionally authorised by means of configured guidelines.
  • The age-historical rule for the DMZ is to terminate customer connections there after which proxy connections to the backend from the relied on DMZ servers. youngsters, in the field they discover much more stringent safety guidelines that don't warrant any traffic (even proxied via these relaxed intermediaries) to the backend until the customer is authenticated and licensed. here's called perimeter protection and is an increasingly standard requirement, riding revenue of DMZ protection items equivalent to TAM. Later, they show how DataPower appliances can also remedy this difficulty.

    yet another requirement for DMZ add-ons is to virtualize or disguise the implementation particulars of backend servers and purposes. typical DMZ items interact simplest with the protocol layer of the community stack, on the way to disguise issues like hostname/IP, ports, and URIs, whereas XML-centric application proxies equivalent to DataPower appliances can virtualize on a a good deal more intelligent groundwork and may analyze the whole message circulation.

    a powerful cause of the use of these forms of home equipment is the burgeoning chance of techniques fitting compromised through XML-based threats. just as as soon as upon a time they felt HTTP to be innocuous, these days they are prone to underestimating what may also be accomplished through virtue of XML. In Chapter 20 “XML Threats,” they reveal how entire infrastructures can be brought down the use of small, primary, neatly-formed XML data. handiest hardware appliances have the processing vigor to determine for the numerous variations of XML threats.

    another typical safety difficulty is a mismatch in the specification stages or credential codecs of a number of technologies throughout large company IT infrastructures. as an example, believe a advertising IT silo working on Microsoft®.web the usage of WS-protection 1.0 and SPNEGO credentials for identification and a producing silo the use of IBM WebSphere application Server (become), WS-security 1.1, and LTPA credentials for id. In these days’s ESB-driven SOA architectures, a single transaction may also must flow through each environments, so this items challenges. as a result of DataPower appliances incorporate a wide range of the newest specification implementations and credential formats, they will also be used to transform messages and credentials to healthy the goal each step of how. note that this may also be used to obtain go-platform single-signon (SSO), despite the fact that additionally depends on other elements comparable to having a common registry.

    To lessen total charge of ownership (TCO)

    Refer returned to the scenario in determine 1-2, the place there are a large number of competencies required to install and retain a standard server and utility stack. Now feel of this in terms of the body of workers required and value to the corporation. With self-contained appliances the place the operating gadget and file device qualities are irrelevant from an administrative point of view, this turns into a lot much less work. The characteristic of the home equipment is committed and streamlined, hence the administrative initiatives and interfaces are typically as neatly. for instance, in the situation in determine 1-2, you should at all times install fixes and updates at every layer of the stack. besides the fact that children, for appliances, you usually try this by means of importing a small firmware replace and rebooting, which takes handiest minutes. in the server scenario, you have got varied diverse administrative consoles to control the layers of the stack; with the home equipment, you've got only 1 console.

    The TCO return does not fully manifest itself in the setup and administration of the platform. accept as true with the silo instance in the prior area—where quite a lot of areas of a company IT infrastructure are operating web capabilities throughout diverse systems, reminiscent of those from IBM, Microsoft, and BEA. If the supplier has one set of policies for protection and SLM that deserve to be implemented across all these systems, then it need to be accomplished numerous instances, by varied americans, with knowledge on each platform. not simplest is the configuration redundant and for this reason expensive, but this issue is repeated each and every time it needs to alternate, and there is at all times the possibility that the coverage should not carried out the exact same on every platform, that can result in security holes or software screw ups. here's depicted in figure 1-4.

    Figure 1-4

    figure 1-4 Redundant administration versus simplified appliance mannequin.

    A extra concrete illustration may also be implemented via making a single provider that acts as a web service proxy on the DataPower appliance, importing the WSDL data for the web functions suppliers on each and every of these backend structures, and then applying the protection and SLM policies on the proxy, thereby gaining policy definition and enforcement one time for all systems. All here's according to specifications that they discuss later, no longer most effective web functions itself, however additionally the accompanying requisites similar to WS-security for safety, WS-coverage for policy definition, WS-Addressing for endpoint decision, and WS-management and WSDM4 for management.

    improving performance

    XML is the foundation on which many up to date architectures are developed—it has advanced into soap for internet capabilities and is found throughout the breadth and depth of the SOA stack and related necessities. Over time, it has evolved from an easy markup language to whatever thing quite complex and complicated. Of route, the problem as far as efficiency is involved is that XML is relatively convenient for humans to examine, but no longer for computer systems. it is a verbose illustration of information and typically requires colossal materials in terms of CPU vigour and reminiscence to technique. This overhead is usually present in parsing the XML document into an in-reminiscence illustration and in validating the XML towards its schema file.5

    accept as true with the impact of parsing and validating the storm of XML/soap files that hit your programs throughout top creation tiers. Now accept as true with the overhead of security that could be embedded in these messages—validating client identities against LDAP servers, verifying digital signatures, and decrypting encrypted records. This requires an important amount of processing power and time and robs precious cycles far from what your backend methods should still basically be doing—focusing on transactional company logic! also trust absolutely the waste of expending these cycles for messages that are available badly fashioned, with schema violations or illegitimate safety issues. The cycles expended on processing them and coping with the errors are wasted. determine 1-5 shows a graph demonstrating the CPU overhead of various general projects. (note the parsing stage is low right here—the leading hit when parsing is memory utilization.) observe the have an impact on of security operations. This may also be helped a bit with hardware-assisted acceleration, however the charge-advantage of hardware acceleration boards is regularly debated. additionally notice that abusing these safety points to consume CPU supplies is one way of mounting attacks.

    A grand answer for this, of course, is to use appliances to do all that heavy lifting at near wire pace. As you are going to see once they focus on the equipment features, they're amazingly quick and might tackle these projects at orders of magnitude faster than software-based mostly options working on typical servers. Now focal point on a further scenario—one where the appliance makes certain that most effective clear traffic receives to the backend techniques. think about the big differential in obtainable processing vigor on the backend if the validation and safety projects are finished by the point the site visitors receives there. The appliances can validate schemas, examine signatures, decrypt the data, and extra. this may frequently outcomes in big efficiency returns, reckoning on issues reminiscent of message sizes, cipher strengths, network latency, and so forth.

    talking of message sizes, here is frequently an additional principal stumbling block for Java-based software methods processing XML. In modern day precise-world programs, they are actually seeing huge cleaning soap messages on the order of hundreds of megabytes or even gigabytes in measurement. The conundrum is the way to technique these, given constraints on maximum JVM heap sizes in many systems. as a result of aggressive developed-in streaming and compression, appliances can handle messages better than their actual reminiscence area.

    On a different message-connected subject, believe purposes that do XML transformation between differing schemas; as an instance, an software that consumes XML buy orders and need to have in mind loads of incoming purchase order formats from company companions, after which transforms each and every into the one “golden” buy order schema that this enterprise uses. These transformations will also be fairly expensive to technique (see figure 1-5) and effect in bloated application code. they all be aware of that line-for-line, application code is costly when it comes to programmer time, trying out, and debugging. Now consider the effect on the utility if the transformations had been moved out to the equipment on the frontend in order that the backend application now receives simplest the one “golden” schema format. yes, their utility has long gone on fairly a weight-reduction plan, is less high priced to maintain, and is a whole lot faster. One container situation consisted of a frontend cluster of Java EE applications to do such transformations to hold the cluster of business good judgment purposes in the back of it light-weight. however, in view that this changed into running on a platform that charged for CPU time, and given the overhead of XML transformations proven in determine 1-5, it become high priced. The answer become to flow the transformation layer out to DataPower appliances. The outcome became a big charge mark downs and orders of magnitude sooner processing.

    Integrating platforms

    in the previous part, they discussed a scenario wherein the equipment can be used to bridge variations in necessities necessities (WS-security v1.0 versus. v1.1) and id credentials (SPNEGO versus LTPA) across programs. here is one respectable example of easily integrating disparate systems, above all when the requirements and requirements are in flux. it's complicated for application-based options working on regular servers and items to keep up with this. On the equipment, you load a firmware update to get the latest and highest quality.

    despite the fact, there are different issues that come up when integrating different structures. agree with a situation by which a medium-sized company XYZ Corp has its infrastructure running on legacy structures and applied sciences, possibly mainframe-based mostly EDI. The company partners that they rely on have lengthy due to the fact that moved their systems to web functions and are telling terrible XYZ Corp that they can no longer manage to pay for to help XYZ’s legacy interface to that device, and they ought to give a modern SOA or internet services interface or lose the enterprise. This places XYZ in a bad place; what's going to it charge to retrain its programmers, rewrite its COBOL functions, and revamp the backends to its Java EE structures? likely, it might be a amazing amount! a common answer to this problem is to region appliances at the entrance of the community as proxies, cook up a WSDL file to explain some net services, begin receiving the ASCII soap messages from the now-happy business partners, and convert them on-the-fly to EBCDIC EDI or COBOL Copybook messages and ship them over MQ or IMS connect to the legacy backend. The backend doesn't ought to change, and no programs must be rewritten—a win-win!

    as a result of the diversity of protocols (HTTP(S), FTP, MQ, JMS/JFAP, IMS, NFS, TIBCO, MQ, ODBC, SNMP, and so forth) supported by the DataPower home equipment, there's a wealth of probability for protocol bridging, content enrichment, and integration between platforms. word that the previous situation concerned message transformation. The XI50 DataPower equipment can deal with either XML-to-XML or non-XML transformation scenarios, meaning that messages will also be changed to the acceptable structure for any meant backend.

    one other ordinary and age-historic state of affairs regarding integrating systems is dynamic routing. because it is commonly a requirement to make dynamic routing choices “on the fringe of the community,” they have DMZ web servers, proxies, and cargo balancers deal with this. The difficulty is that they could take note handiest the protocol and not the payload of the message. to accomplish the purpose, functions region some price in the protocol header to facilitate the content material-based routing. for instance, if they want any buy orders over one million greenbacks to be routed to excessive-precedence servers, the sending utility would place a cookie or attribute in an HTTP header or URL parameter. The web server, proxy. or load balancer in the DMZ could be configured to assess for this and then route the site visitors hence. The problem with this state of affairs is that you just have to put this hack in the purposes and the HTTP payload, doubtlessly expose message data to attackers, and contain the sender/client. This solution doesn’t scale because in case you continually do that, the HTTP header and utility code bloat.

    as a result of SOA appliances are XML-savvy and may use applied sciences comparable to XPath, they can investigate internal the message payload to search for the exact <po_value> factor as opposed to alter the software and HTTP header. If the message is encrypted, you don’t need to expose this with the aid of externalizing the information; you can just decrypt the message and check the price, after which route consequently. The client during this case doesn't ought to be complicit—the routing is definitely dynamic and transparent. The XML aware network layer is proven in figure 1-6.

    One closing crucial feature in regard to the integration story is the use of appliances as ESBs. The appliances fulfill the mannequin of an ESB via advantage of their powerful routing, transformation, mediation, and protocol-switching capabilities. IBM has other ESB items capable of enforcing the ESB sample—WebSphere Message broker (WMB) and WebSphere commercial enterprise service Bus (WESB). each of those have pleasing capabilities that may additionally swimsuit them for specific usages. however DataPower could be notion of as a tremendously relaxed and performant ESB, the others have elements that DataPower does not have in the arenas of transactionality, persistent message managing, and the means to work in other programming languages. They talk about ESBs in Chapter 5, “general DataPower Deployment Patterns,” and Chapter 9, “Multi-Protocol Gateway.”


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