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Test Code : C2180-274
Test Name : IBM WebSphere DataPower SOA Appliances Firmware V5.0 Solution Implementation
Vendor Name : IBM
: 75 Real Questions

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IBM WebSphere DataPower SOA Appliances Firmware V5.0 Solution Implementation certification

typical Usages of home equipment | C2180-274 Real Questions and VCE Practice Test

This chapter is from the e-book 

whereas the appliances are somewhat versatile and may thus be used to remedy many different styles of complications (and implementers were rather artistic during this regard), they find there are a few general use instances that are general. These commonly focal point round protection, efficiency, can charge rate reductions, and integration. In here sections, they focus on each and every of those in more aspect.

fixing protection issues

Let’s feel about what it could take to deploy a application-based proxy product in the DMZ. each and every of the layers of the ‘commonplace server’ shown in determine 1-2 requires really expert knowledge to installation and retain. in particular for DMZ deployments, the server hardware itself need to be hardened. In particularly at ease environments, this can contain doing away with any components that could allow assistance to be taken from the server, corresponding to USB ports and writeable CD/DVD drives. The operating device must even be hardened, doing away with components akin to telnet and sendmail.3 regularly, this results in different layers of the software stack no longer installing or working appropriately! if you're a success in installation the application software stack, it should be hardened as neatly. These are common requirements for prime security environments akin to monetary corporations, intelligence features, and military functions.

youngsters software-based mostly DMZ add-ons can also be hardened efficiently, it is lots of work. examine this with the simplicity of installation a dedicated, highly secure hardware appliance, goal built to do just a few issues smartly with pretty elementary administrative interfaces, as proven in figure 1-three.

The home equipment are hardened out of the box. as an instance:

  • they are designed with security in mind from the floor up, before the rest.
  • they are shipped comfortable by means of default; very nearly every feature is disabled, including the network adapters and administrative interfaces (other than the serial port used to do initial bootstrap). in case you need some thing, you ought to flip it on!
  • they have an encrypted file equipment.
  • They haven't any Java, print functions, or shareable file gadget.
  • they are tamper-proof—backing out the screws on the case disables the appliance.
  • they've really expert cozy coping with of crypto keys and certificates.
  • they have an embedded working equipment, no longer vulnerable to typical exposures of typical OSs.
  • They reject messages by default, unless mainly accepted with the aid of configured policies.
  • The age-old rule for the DMZ is to terminate customer connections there after which proxy connections to the backend from the depended on DMZ servers. besides the fact that children, in the field they discover much more stringent safety guidelines that do not warrant any site visitors (even proxied through these comfortable intermediaries) to the backend except the client is authenticated and authorized. this is referred to as perimeter protection and is an more and more usual requirement, riding income of DMZ safety products akin to TAM. Later, they exhibit how DataPower home equipment can additionally remedy this problem.

    a different requirement for DMZ accessories is to virtualize or disguise the implementation particulars of backend servers and functions. commonplace DMZ items have interaction simplest with the protocol layer of the community stack, on the way to conceal things like hostname/IP, ports, and URIs, whereas XML-centric utility proxies corresponding to DataPower home equipment can virtualize on a plenty more clever foundation and might analyze the total message circulate.

    a powerful reason behind the usage of these styles of home equipment is the burgeoning chance of techniques becoming compromised with the aid of XML-based threats. just as as soon as upon a time they felt HTTP to be innocuous, nowadays we're susceptible to underestimating what can be finished by way of advantage of XML. In Chapter 20 “XML Threats,” they show how complete infrastructures will also be introduced down the use of small, primary, well-formed XML data. simplest hardware home equipment have the processing vigour to verify for the numerous diversifications of XML threats.

    an additional commonplace safety difficulty is a mismatch within the specification levels or credential formats of a number of applied sciences throughout tremendous company IT infrastructures. for example, agree with a advertising IT silo working on Microsoft®.internet the usage of WS-security 1.0 and SPNEGO credentials for id and a manufacturing silo the use of IBM WebSphere software Server (become), WS-protection 1.1, and LTPA credentials for id. In these days’s ESB-driven SOA architectures, a single transaction can also must pass via each environments, so this items challenges. as a result of DataPower home equipment contain a wide array of the newest specification implementations and credential codecs, they may also be used to seriously change messages and credentials to fit the goal each and every step of ways. word that this can be used to obtain cross-platform single-signon (SSO), youngsters that additionally is dependent upon different elements reminiscent of having a common registry.

    To decrease total can charge of possession (TCO)

    Refer returned to the scenario in figure 1-2, the place there are a large number of talents required to deploy and hold a typical server and application stack. Now consider of this in terms of the personnel required and value to the company. With self-contained appliances the place the working device and file system qualities are inappropriate from an administrative viewpoint, this becomes a great deal less work. The feature of the home equipment is committed and streamlined, therefore the executive tasks and interfaces are typically as smartly. as an example, in the scenario in determine 1-2, you must consistently deploy fixes and updates at every layer of the stack. youngsters, for appliances, you typically do this by means of uploading a small firmware update and rebooting, which takes only minutes. in the server scenario, you have diverse distinct administrative consoles to control the layers of the stack; with the appliances, you have got only one console.

    The TCO return doesn't entirely manifest itself within the setup and administration of the platform. trust the silo instance in the prior part—the place a considerable number of areas of a company IT infrastructure are working net features across distinctive platforms, corresponding to those from IBM, Microsoft, and BEA. If the agency has one set of guidelines for safety and SLM that deserve to be applied across all these systems, then it have to be executed varied times, by using varied americans, with capabilities on each and every platform. no longer handiest is the configuration redundant and for this reason costly, however this problem is repeated each and every time it should change, and there is all the time the possibility that the policy are not implemented the exact same on every platform, which could lead to security holes or utility screw ups. this is depicted in figure 1-4.

    Figure 1-4

    determine 1-four Redundant administration versus simplified equipment model.

    A more concrete example may also be implemented via creating a single service that acts as an internet service proxy on the DataPower appliance, importing the WSDL files for the net features providers on every of these backend platforms, and then making use of the safety and SLM guidelines on the proxy, thereby gaining policy definition and enforcement one time for all systems. All here's in line with specifications that they focus on later, now not handiest net capabilities itself, however also the accompanying necessities reminiscent of WS-protection for safety, WS-policy for coverage definition, WS-Addressing for endpoint resolution, and WS-management and WSDM4 for administration.

    improving performance

    XML is the groundwork on which many modern architectures are developed—it has developed into cleaning soap for web features and is discovered throughout the breadth and depth of the SOA stack and related requisites. Over time, it has developed from a simple markup language to whatever quite complex and complicated. Of route, the difficulty as far as performance is involved is that XML is pretty convenient for humans to study, but no longer for computers. it's a verbose illustration of facts and usually requires large supplies in terms of CPU vigor and reminiscence to process. This overhead is typically found in parsing the XML doc into an in-reminiscence representation and in validating the XML against its schema file.5

    consider the influence of parsing and validating the storm of XML/cleaning soap documents that hit your programs all the way through top creation stages. Now believe the overhead of protection that could be embedded in those messages—validating client identities towards LDAP servers, verifying digital signatures, and decrypting encrypted information. This requires a huge quantity of processing power and time and robs precious cycles away from what your backend programs should still basically be doing—specializing in transactional company common sense! additionally agree with the absolute waste of expending these cycles for messages that come in badly formed, with schema violations or illegitimate protection considerations. The cycles expended on processing them and coping with the errors are wasted. figure 1-5 shows a graph demonstrating the CPU overhead of a considerable number of general tasks. (word the parsing stage is low right here—the leading hit when parsing is memory utilization.) notice the influence of security operations. This will also be helped a little bit with hardware-assisted acceleration, but the charge-improvement of hardware acceleration boards is frequently debated. also observe that abusing these safety features to consume CPU components is a technique of mounting attacks.

    A grand answer for this, of direction, is to make use of appliances to do all that heavy lifting at near wire speed. As you'll see once they talk about the appliance qualities, they are amazingly fast and can deal with these initiatives at orders of magnitude quicker than software-based options running on typical servers. Now focal point on an additional state of affairs—one where the equipment makes certain that most effective clean traffic receives to the backend programs. imagine the massive differential in accessible processing vigor on the backend if the validation and safety tasks are accomplished by the point the site visitors gets there. The home equipment can validate schemas, investigate signatures, decrypt the statistics, and extra. this can often influence in huge efficiency returns, reckoning on issues similar to message sizes, cipher strengths, network latency, and so on.

    speaking of message sizes, here's frequently a different essential stumbling block for Java-based application programs processing XML. In up to date day actual-world techniques, they are actually seeing massive soap messages on the order of tons of of megabytes or even gigabytes in measurement. The conundrum is the way to method these, given constraints on optimum JVM heap sizes in lots of structures. as a result of aggressive developed-in streaming and compression, home equipment can tackle messages higher than their precise memory space.

    On one other message-related subject, accept as true with applications that do XML transformation between differing schemas; as an example, an software that consumes XML purchase orders and have to take into account a lot of incoming purchase order codecs from business companions, and then transforms each into the one “golden” buy order schema that this company uses. These transformations may also be reasonably expensive to process (see determine 1-5) and outcomes in bloated application code. all of us know that line-for-line, application code is costly when it comes to programmer time, trying out, and debugging. Now accept as true with the effect on the software if the transformations had been moved out to the appliance on the frontend in order that the backend software now gets simplest the one “golden” schema structure. sure, their software has gone on somewhat a weight-reduction plan, is much less costly to retain, and is a great deal sooner. One container scenario consisted of a frontend cluster of Java EE purposes to do such transformations to hold the cluster of business common sense applications in the back of it lightweight. despite the fact, considering the fact that this changed into working on a platform that charged for CPU time, and given the overhead of XML transformations shown in figure 1-5, it turned into high priced. The answer changed into to circulation the transformation layer out to DataPower home equipment. The result changed into a major can charge reductions and orders of magnitude sooner processing.

    Integrating platforms

    within the previous part, they discussed a state of affairs wherein the equipment may well be used to bridge differences in requisites necessities (WS-protection v1.0 versus. v1.1) and id credentials (SPNEGO versus LTPA) across programs. here is one respectable instance of effectively integrating disparate systems, above all when the requisites and necessities are in flux. it's problematic for application-based solutions running on average servers and products to keep up with this. On the appliance, you load a firmware replace to get the newest and foremost.

    despite the fact, there are other considerations that come up when integrating distinctive platforms. trust a scenario in which a medium-sized company XYZ Corp has its infrastructure operating on legacy structures and applied sciences, perhaps mainframe-based EDI. The enterprise companions that they rely on have lengthy when you consider that moved their systems to internet features and are telling negative XYZ Corp that they can now not afford to assist XYZ’s legacy interface to that gadget, and they need to deliver a modern SOA or internet capabilities interface or lose the business. This places XYZ in a nasty place; what will it charge to retrain its programmers, rewrite its COBOL purposes, and revamp the backends to its Java EE systems? probably, it might be a stunning quantity! a common solution to this difficulty is to place appliances at the front of the community as proxies, cook up a WSDL file to explain some web services, start receiving the ASCII soap messages from the now-satisfied company companions, and convert them on-the-fly to EBCDIC EDI or COBOL Copybook messages and ship them over MQ or IMS connect with the legacy backend. The backend does not ought to alternate, and no courses should 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 the like) supported by the DataPower appliances, there's a wealth of chance for protocol bridging, content enrichment, and integration between structures. observe that the outdated situation concerned message transformation. The XI50 DataPower appliance can address either XML-to-XML or non-XML transformation situations, which means that messages may also be converted to the appropriate format for any supposed backend.

    one other standard and age-historical state of affairs concerning integrating structures is dynamic routing. since it is frequently a requirement to make dynamic routing choices “on the edge of the community,” they now have DMZ web servers, proxies, and load balancers address this. The issue is that they could consider best the protocol and not the payload of the message. to accomplish the intention, functions vicinity some price within the protocol header to facilitate the content-primarily based routing. as an example, if they want any purchase orders over one million bucks to be routed to excessive-precedence servers, the sending application would place a cookie or attribute in an HTTP header or URL parameter. The net server, proxy. or load balancer within the DMZ could be configured to investigate for this and then route the traffic for this reason. The issue with this scenario is that you simply need to put this hack in the applications and the HTTP payload, probably divulge message statistics to attackers, and involve the sender/customer. This answer doesn’t scale because in case you perpetually do that, the HTTP header and application code bloat.

    as a result of SOA home equipment are XML-savvy and can use technologies reminiscent of XPath, they could determine internal the message payload to look for the precise <po_value> aspect instead of alter the utility and HTTP header. If the message is encrypted, you don’t deserve to expose this by means of externalizing the information; that you would be able to just decrypt the message and examine the value, and then route as a result. The customer during this case doesn't have to be complicit—the routing is basically dynamic and clear. The XML mindful community layer is proven in figure 1-6.

    One final vital function in regard to the integration story is using appliances as ESBs. The home equipment fulfill the mannequin of an ESB by means of virtue of their robust routing, transformation, mediation, and protocol-switching capabilities. IBM has different ESB products able to imposing the ESB pattern—WebSphere Message broker (WMB) and WebSphere enterprise provider Bus (WESB). each and every of these have entertaining capabilities that might also go well with them for certain usages. despite the fact DataPower may well be notion of as a particularly cozy and performant ESB, the others have features that DataPower doesn't have within the arenas of transactionality, persistent message handling, and the capability to work in other programming languages. They discuss ESBs in Chapter 5, “usual DataPower Deployment Patterns,” and Chapter 9, “Multi-Protocol Gateway.”


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