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C2180-274 exam Dumps Source : IBM WebSphere DataPower SOA Appliances Firmware V5.0 Solution Implementation

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

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IBM IBM WebSphere DataPower SOA

SOA utility Automates security and Provisioning for IBM WebSphere DataPower | killexams.com existent Questions and Pass4sure dumps

la, CA--(Marketwire - Sep 24, 2012) - SOA utility, a leading issuer of SOA governance, cloud and enterprise API management products, announced these days that it's releasing a brand novel version of its coverage supervisor utility with improved protection features for IBM WebSphere DataPower. the novel product drastically simplifies DataPower administration through automating complex safety and provisioning situations. This lowers the overall cost of possession, accelerates carrier deployment, and lowers risk.

protection contracts are a foundational requirement for any SOA infrastructure, as they uphold to be certain that the huge variety of complex transactions between patrons and suppliers are managed comfortably. policy supervisor makes it workable for non-technical users to control the protection and other aspects of these transactions through the automation of shrink enforcement through SOA application's DataPower governance options.

enterprises exercise DataPower to expose functions that sooner or later create novel relationships with their clients and companions, and contracts govern these relationships. With SOA utility's coverage manager for DataPower, customers can now govern these relationships on the DataPower appliance in a secure, computerized, comparatively cheap, and productive method.

"agencies are using DataPower to intricate capabilities that create novel relationships with their customers and partners," spoke of Alistair Farquharson, CTO, SOA software. "without centralized contract-based mostly management to control these relationships, firms are left with error-susceptible, guide, and sooner or later unmanageable strategies for provisioning and enforcing these relationships on the DataPower platform."

The SOA software crew undertook the enhancement of protection features for DataPower working from the premise that an SOA is essentially shrink primarily based. With this unlock, clients should be in a position to bewitch capabilities of workflow-pushed shrink definition and enforcement inside an habitual policy-driven strategy to SOA security for DataPower. coverage manager now moreover gets rid of the requisite for safety integration to be manually coded into the DataPower equipment, which reduces a major protection risk within the technique. Coding, really expert configuration for protection, and prolonged implementation initiatives for securing web functions on DataPower aren't any longer needed. different safety enhancements to policy supervisor for DataPower encompass automatic configuration of trade regular WS-protection policy, in-built steer for X509 authentication and augmentation of DataPower error processing to uphold SOA degree weakness processing.

policy manager for IBM WebSphere DataPower's aid for deploying requirements-primarily based WS-protection policy from policy supervisor to the DataPower equipment is thoroughly integrated with DataPower's AAA policies and DataPower's inbuilt WS-safety coverage uphold to permit effectual and finished safety exercise cases. With these facets consumers can effectively spot in constrain particularly relaxed DataPower service interactions across a wide variety of capabilities, patrons, and company businesses.

SOA application is a longtime IBM associate providing really biddable options for DataPower. Deep integration with IBM WebSphere DataPower home equipment offers valued clientele with the skill to control the DataPower equipment without slow from the coverage manager console, without the should duplicate configuration manually. This gives valued clientele with a 'one-click' administration strategy leveraging DataPower as the runtime and the SOA application's coverage manager because the source of provider and policy tips as smartly as the reporting console for the monitoring records. SOA software's coverage manager is exciting in its means to manipulate the catalog of features, pressure policy definition and distribution, and assemble and expose monitoring information for the DataPower gadgets, which provides conclusion-to-conclusion coverage enforcement and transaction monitoring

click here for the IBM DataPower Datasheet. For more counsel about SOA utility integration with IBM products, behold www.soa.com/ibm

About SOA software SOA utility is a number one provider of unified SOA governance, cloud and commercial enterprise API management products that permit companies to plan, construct, and dash traffic capabilities and open APIs. the area's biggest corporations including monetary institution of the united states, Pfizer, and Verizon exercise SOA utility options to transform their company. Gartner placed SOA application within the Leaders Quadrant for the 2011 "Magic Quadrant for SOA Governance technologies." The company is additionally recognized as a "chief" through the Forrester research Waves for integrated SOA Governance and SOA being Cycle administration. For extra guidance, gratify talk over with http://www.soa.com.

SOA application, environment, atmos.phe.re, coverage supervisor, Portfolio supervisor, Repository supervisor, provider supervisor, and SOLA are emblems of SOA application, Inc.  


IBM rechristens DataPower SOA home equipment | killexams.com existent Questions and Pass4sure dumps

Seven months after acquiring DataPower technologies Inc., IBM today has launched its first iteration of the SOA/XML hardware equipment line, specializing in id and protection administration.

the novel company should be known as WebSphere DataPower SOA appliances.

"The IBM logo is on the front, so these are full-on IBM items," pointed out Eugene Kuznetsov, DataPower founder and former chief expertise officer, who is now director of product management for the IBM SOA appliances.

whereas the WebSphere identify has been delivered, he observed valued clientele and others habitual with the DataPower home equipment will admire the products.

"there may be noiseless the three main products," Kuznetsov mentioned, "the XML accelerator, the XML security gateway and the mixing appliance."

The three were re-christened the WebSphere DataPower XML Accelerator XA35, WebSphere DataPower XML protection Gateway XS40 and WebSphere DataPower Integration equipment XI50.

Kuznetsov stated that during the past six months seeing that the acquisition, he has worked with the IBM hardware and technology teams as well as the IBM Tivoli utility group to raise the three home equipment. some of that drudgery has been as smooth as adding dual power components and swappable fanatics to answer large Blue's specifications for hardware reliability.

The drudgery with IBM's Tivoli management line, which had interoperability with the habitual DataPower products, is aimed at the larger manner of proposing safety and management for SOA implementations.

"id management and safety management are a key a allotment of the customary SOA protection structure that IBM sees accessible," Kuznetsov explained. "that is the spot integration with Tivoli entry supervisor is being greater additional to sequel authentication and authorization of web functions requests."

DataPower's long-established integration with Tivoli Federated identification supervisor, which helps WS-have faith and SAML, has been enhanced considering the fact that the products got here into the IBM fold, he stated.

"We behold this as a key a allotment of the SOA structure," he referred to. "You deserve to be able to identify and authenticate who's making the request and then occupy a centralized course of managing the authorization."

The WebSphere edition of the DataPower products moreover integrate with Tivoli's novel IT CAM for SOA product, which Kuzentsov talked about gives web features management and service-degree administration and monitoring for the hardware appliances.

Jason Bloomberg, senior analyst with ZapThink LLC., said the integration between Tivoli and the DataPower items may moreover not be completely seamless.

"IBM is asserting that the XS40 protection Gateway can moreover be built-in with Tivoli, however they're no longer announcing that it integrates with Tivoli out of the container," the analyst suggested. "i am certain it requires some integration effort. however that being pointed out, the DataPower containers occupy long supported commonplace management necessities, in order that integration just isn't very complex."

while the DataPower products are coming beneath the WebSphere umbrella and integrating with Tivoli, Kuzentsov sought to assure once and future shoppers that interoperability with IBM opponents will continue.

"some of the issues that i occupy been very snug about for my part, coming in from a impartial startup atmosphere and coming into IBM, there's an excellent deal of decent experience and maturity at IBM about helping their customers," he noted. "We understand that clients occupy a heterogeneous environment. When it involves SOA one of the most fundamental traffic drivers for it is reuse, which capability that whatever thing components they've bought within the infrastructure nowadays from any [IBM] opponents, they prognosticate IBM solutions to combine with them seamlessly. they will proceed to try this."

As for the spot the DataPower home equipment robust into the higher image of SOA, Kuzentsov recounted that hardware accelerators are not the primary thing that comes up when the architectural mannequin is being discussed but he sees that changing. Noting that IBM sequel not occupy purchased his company if it did not think it may sell the products, he talked about valued clientele are birth to claim the spot home equipment felicitous into SOA and now its up to him to uphold intricate them to their cost.

"I reckon it's pretty smooth for people to occupy in intelligence how acceleration can uphold SOA performance," he mentioned. "all and sundry grabs onto that and says that's what home equipment are biddable for, they will offload XML processing. however this is just an enabling technology. once you can sequel it rapidly, when you can sequel it at wire-speed, what are the different absorbing issues that you may do? Simplification is the spot the traffic value is."

Kuzentsov mentioned an rotten lot of the complexity of managing SOA can moreover be handled by course of the fundamental black box reply the WebSphere DataPower products offer.

"if you dissect offering security capability, you occupy to sequel XML danger protection in opposition t bar not anything types of internet attacks -- schema validation, WSDL validation, content material based routing, certificates administration, WS-believe, WS-security, access control, imposing grain authorization," he noted, noting here's a allotment of what the containers can provide.

ZapThink's Bloomberg, who isn't a fan of defining SOA when it comes to utility, not to mention hardware items, nevertheless spoke of the IBM DataPower aggregate does occupy a spot within the structure, specifically where security is worried.

"As for what the appliances can add to an SOA implementation," Bloomberg said, "the core of any SOA implementation are the services that summary underlying records and software functionality. For these capabilities to be loosely coupled, it's essential for them to be wholly comfy and managed, and to meet the carrier-level agreements set out for them. The DataPower containers present both protection and efficiency merits that can aid functions meet these SLAs."

this text initially regarded on SearchWebServices.com


IBM Extends BPM and SOA in WebSphere | killexams.com existent Questions and Pass4sure dumps

information

IBM Extends BPM and SOA in WebSphere

IBM ultimate week accelerated its WebSphere middleware providing with a slew of novel tools aimed toward facilitating traffic procedure administration and service oriented architectures.

on the coronary heart of the brand novel rollout is BPM BlueWorks, a collection of cloud-based equipment and content material that IBM stated will let developers learn how to construct and deploy dynamic strategies.

BPM BlueWorks enables modeling and simulation that sooner or later is designed to uphold dev retail outlets learn the course to build and roll out capabilities that can reply to dynamic enterprise procedures, in keeping with IBM.

"The inclusion of equipment and capabilities offers that are basically about helping customers convey their enterprise and IT individuals collectively is anything that they determine is very distinguished for BPM initiatives to succeed  and additionally about providing cost in smaller tactical tasks," pointed out Neil Ward-Dutton, analysis director and MWD Advisors in an e-mail.

"These two areas are locations where IBM’s competitors within the BPM and SOA areas occupy traditionally really been able to operate very strongly," he delivered. "So it’s absorbing to peer IBM popping out of its consolation zone and being more aggressive regarding its 'specialist' competitors with these announcements."

To uphold lengthen these deployments, IBM moreover introduced several tools and platforms. amongst them are WebSphere company events and stern Scale v7, designed to reply to cumbersome amounts of precise-time pursuits; WebSphere Registry and Repository, aimed toward monitoring alternate administration; BPM FastPath, tools designed to expedite BPM deployments, certainly departments that require significant interaction through people; and WebSphere traffic options, a set of equipment focused on vertical markets.

The later contains  WebSphere trade content Packs V7, which provides vertical trade solution templates, WebSphere Transformation Extender V8.3 swiftly deploys trade transformation, which incorporates EDI interchange packs for health care functions, and the WebSphere DataPower B2B appliance XB60 V3.eight, a platform for  connecting buying and selling companions adding novel B2B messaging protocol guide, IBM observed.

about the author

Jeffrey Schwartz is editor of Redmond magazine and additionally covers cloud computing for Virtualization evaluate's Cloud report. in addition, he writes the Channeling the Cloud column for Redmond Channel associate. follow him on Twitter @JeffreySchwartz.




Killexams.com C2180-274 Dumps and existent Questions

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C2180-274 exam Dumps Source : IBM WebSphere DataPower SOA Appliances Firmware V5.0 Solution Implementation

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

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IBM WebSphere DataPower SOA Appliances Firmware V5.0 Solution Implementation

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Typical Usages of Appliances | killexams.com existent questions and Pass4sure dumps

This chapter is from the engage 

While the appliances are quite all-around and can thus be used to decipher many different types of problems (and implementers occupy been quite creative in this regard), they find there are a few common exercise cases that are typical. These generally focus around security, performance, cost savings, and integration. In the following sections, they dispute each of these in more detail.

Solving Security Problems

Let’s think about what it would bewitch to deploy a software-based proxy product in the DMZ. Each of the layers of the ‘typical server’ shown in device 1-2 requires specialized skills to install and maintain. Particularly for DMZ deployments, the server hardware itself must be hardened. In highly secure environments, this can involve removing any components that might allow information to be taken from the server, such as USB ports and writeable CD/DVD drives. The operating system must moreover be hardened, removing components such as telnet and sendmail.3 Often, this results in other layers of the software stack not installing or operating properly! If you are successful in installing the application software stack, it must be hardened as well. These are common requirements for tall security environments such as monetary companies, intelligence services, and military applications.

Although software-based DMZ components can be hardened successfully, it is a lot of work. Compare this with the simplicity of installing a dedicated, highly secure hardware appliance, purpose built to sequel a few things well with fairly simple administrative interfaces, as shown in device 1-3.

The appliances are hardened out of the box. For example:

  • They are designed with security in intelligence from the ground up, before anything else.
  • They are shipped secure by default; virtually every feature is disabled, including the network adapters and administrative interfaces (except for the serial port used to sequel initial bootstrap). If you want something, you must whirl it on!
  • They occupy an encrypted file system.
  • They occupy no Java, print services, or shareable file system.
  • They are tamper-proof—backing out the screws on the case disables the appliance.
  • They occupy specialized secure handling of crypto keys and certificates.
  • They occupy an embedded operating system, not recumbent to known exposures of common OSs.
  • They reject messages by default, unless specifically accepted by configured policies.
  • The age-old rule for the DMZ is to terminate client connections there and then proxy connections to the backend from the trusted DMZ servers. However, in the sphere they find even more stringent security policies that sequel not warrant any traffic (even proxied through these secure intermediaries) to the backend until the client is authenticated and authorized. This is referred to as perimeter security and is an increasingly common requirement, driving sales of DMZ security products such as TAM. Later, they intricate how DataPower appliances can moreover decipher this problem.

    Another requirement for DMZ components is to virtualize or shroud the implementation details of backend servers and applications. Typical DMZ products interact only with the protocol layer of the network stack, so they can shroud things enjoy hostname/IP, ports, and URIs, whereas XML-centric application proxies such as DataPower appliances can virtualize on a much more bright basis and can dissect the entire message stream.

    A tough intuition for using these types of appliances is the burgeoning risk of systems becoming compromised by XML-based threats. Just as once upon a time they felt HTTP to be innocuous, today they are susceptible to underestimating what can be done by virtue of XML. In Chapter 20 “XML Threats,” they intricate how entire infrastructures can be brought down using small, simple, well-formed XML files. Only hardware appliances occupy the processing power to check for the many variations of XML threats.

    Another common security problem is a mismatch in the specification levels or credential formats of various technologies across large corporate IT infrastructures. For example, reckon a marketing IT silo running on Microsoft®.NET using WS-Security 1.0 and SPNEGO credentials for identity and a manufacturing silo using IBM WebSphere Application Server (WAS), WS-Security 1.1, and LTPA credentials for identity. In today’s ESB-driven SOA architectures, a separate transaction may occupy to pass through both environments, so this presents challenges. Because DataPower appliances incorporate a wide orbit of the latest specification implementations and credential formats, they can be used to transform messages and credentials to felicitous the target each step of the way. Notice that this can be used to achieve cross-platform single-signon (SSO), although that moreover depends on other factors such as having a common registry.

    To Lower Total Cost of Ownership (TCO)

    Refer back to the scenario in device 1-2, where there are numerous skills required to install and maintain a typical server and software stack. Now think of this in terms of the staff required and cost to the organization. With self-contained appliances where the operating system and file system characteristics are immaterial from an administrative perspective, this becomes much less work. The function of the appliances is dedicated and streamlined, hence the administrative tasks and interfaces tend to be as well. For example, in the scenario in device 1-2, you occupy to continually install fixes and updates at every layer of the stack. However, for appliances, you typically sequel this by uploading a little firmware update and rebooting, which takes only minutes. In the server scenario, you occupy multiple different administrative consoles to manage the layers of the stack; with the appliances, you occupy only one console.

    The TCO revert does not solely manifest itself in the setup and administration of the platform. reckon the silo illustration in the prior section—where various areas of a corporate IT infrastructure are running Web services across different platforms, such as those from IBM, Microsoft, and BEA. If the corporation has one set of policies for security and SLM that requisite to be implemented across bar not anything these platforms, then it must be done multiple times, by multiple people, with skills on each platform. Not only is the configuration redundant and therefore expensive, but this problem is repeated each time it needs to change, and there is always the risk that the policy will not be implemented exactly the very on each platform, which can lead to security holes or application failures. This is depicted in device 1-4.

    Figure 1-4

    Figure 1-4 Redundant administration versus simplified appliance model.

    A more concrete illustration can be implemented by creating a separate service that acts as a Web service proxy on the DataPower appliance, importing the WSDL files for the Web services providers on each of those backend platforms, and then applying the security and SLM policies on the proxy, thereby gaining policy definition and enforcement one time for bar not anything platforms. bar not anything this is based on standards that they dispute later, not only Web services itself, but moreover the accompanying standards such as WS-Security for security, WS-Policy for policy definition, WS-Addressing for endpoint resolution, and WS-Management and WSDM4 for management.

    Enhancing Performance

    XML is the foundation on which many modern architectures are built—it has evolved into SOAP for Web services and is institute across the breadth and depth of the SOA stack and related specifications. Over time, it has evolved from a simple markup language to something quite complex and sophisticated. Of course, the problem as far as performance is concerned is that XML is fairly smooth for humans to read, but not for computers. It is a verbose representation of data and typically requires significant resources in terms of CPU power and memory to process. This overhead is typically institute in parsing the XML document into an in-memory representation and in validating the XML against its schema file.5

    Consider the impact of parsing and validating the storm of XML/SOAP documents that hit your systems during peak production levels. Now reckon the overhead of security that may be embedded in those messages—validating client identities against LDAP servers, verifying digital signatures, and decrypting encrypted data. This requires a tremendous amount of processing power and time and robs precious cycles away from what your backend systems should really be doing—focusing on transactional traffic logic! moreover reckon the absolute consume of expending these cycles for messages that Come in badly formed, with schema violations or illegitimate security issues. The cycles expended on processing them and handling the errors are wasted. device 1-5 shows a graph demonstrating the CPU overhead of various common tasks. (Notice the parsing even is low here—the main hit when parsing is memory utilization.) Notice the impact of security operations. This can be helped rather with hardware-assisted acceleration, but the cost-benefit of hardware acceleration boards is often debated. moreover note that abusing these security features to consume CPU resources is one course of mounting attacks.

    A imposing solution for this, of course, is to exercise appliances to sequel bar not anything that cumbersome lifting at near wire speed. As you will behold when they dispute the appliance characteristics, they are amazingly quickly and can ply these tasks at orders of magnitude faster than software-based solutions running on touchstone servers. Now focus on another scenario—one where the appliance makes certain that only spotless traffic gets to the backend systems. Imagine the huge differential in available processing power on the backend if the validation and security tasks are done by the time the traffic gets there. The appliances can validate schemas, verify signatures, decrypt the data, and more. This can often result in huge performance returns, depending on considerations such as message sizes, cipher strengths, network latency, and so forth.

    Speaking of message sizes, this is often another major stumbling screen for Java-based software systems processing XML. In modern day real-world systems, they are now seeing huge SOAP messages on the order of hundreds of megabytes or even gigabytes in size. The conundrum is how to process these, given constraints on maximum JVM stack sizes in many platforms. Due to aggressive built-in streaming and compression, appliances can ply messages larger than their actual memory space.

    On another message-related topic, reckon applications that sequel XML transformation between differing schemas; for example, an application that consumes XML purchase orders and must understand a variety of incoming purchase order formats from traffic partners, and then transforms each into the one “golden” purchase order schema that this company uses. These transformations can be quite expensive to process (see device 1-5) and result in bloated application code. They bar not anything know that line-for-line, application code is expensive in terms of programmer time, testing, and debugging. Now reckon the sequel on the application if the transformations were moved out to the appliance on the frontend so that the backend application now gets only the one “golden” schema format. Yes, their application has gone on quite a diet, is less expensive to maintain, and is much faster. One sphere scenario consisted of a frontend cluster of Java EE applications to sequel such transformations to hold the cluster of traffic logic applications behind it lightweight. However, since this was running on a platform that charged for CPU time, and given the overhead of XML transformations shown in device 1-5, it was expensive. The solution was to race the transformation layer out to DataPower appliances. The result was a huge cost savings and orders of magnitude faster processing.

    Integrating Platforms

    In the previous section, they discussed a scenario in which the appliance could be used to bridge differences in standards specifications (WS-Security v1.0 versus. v1.1) and identity credentials (SPNEGO versus LTPA) across systems. This is one biddable illustration of easily integrating disparate platforms, particularly when the standards and specifications are in flux. It is difficult for software-based solutions running on touchstone servers and products to hold up with this. On the appliance, you load a firmware update to come by the latest and greatest.

    However, there are other issues that arise when integrating different platforms. reckon a scenario in which a medium-sized traffic XYZ Corp has its infrastructure running on legacy platforms and technologies, perhaps mainframe-based EDI. The traffic partners that they depend on occupy long since moved their platforms to Web services and are telling destitute XYZ Corp that they can no longer afford to uphold XYZ’s legacy interface to that system, and they must provide a modern SOA or Web services interface or lose the business. This puts XYZ in a rotten position; what will it cost to retrain its programmers, rewrite its COBOL applications, and revamp the backends to its Java EE platforms? Likely, it would be a staggering amount! A common solution to this problem is to spot appliances at the front of the network as proxies, cook up a WSDL file to relate some Web services, initiate receiving the ASCII SOAP messages from the now-happy traffic partners, and metamorphose them on-the-fly to EBCDIC EDI or COBOL Copybook messages and transmit them over MQ or IMS Connect to the legacy backend. The backend does not occupy to change, and no programs occupy to be rewritten—a win-win!

    Due to the variety of protocols (HTTP(S), FTP, MQ, JMS/JFAP, IMS, NFS, TIBCO, MQ, ODBC, SNMP, and so on) supported by the DataPower appliances, there is a wealth of occasion for protocol bridging, content enrichment, and integration between platforms. Notice that the previous scenario involved message transformation. The XI50 DataPower appliance can ply either XML-to-XML or non-XML transformation scenarios, signification that messages can be transformed to the arrogate format for any intended backend.

    Another common and age-old scenario related to integrating platforms is dynamic routing. Because it is often a requirement to bear dynamic routing decisions “on the edge of the network,” they occupy DMZ Web servers, proxies, and load balancers ply this. The problem is that they can understand only the protocol and not the payload of the message. To accomplish the goal, applications spot some value in the protocol header to facilitate the content-based routing. As an example, if they want any purchase orders over one million dollars to be routed to high-priority servers, the sending application would spot a cookie or ascribe in an HTTP header or URL parameter. The Web server, proxy. or load balancer in the DMZ would be configured to check for this and then route the traffic accordingly. The problem with this scenario is that you occupy to spot this hack in the applications and the HTTP payload, potentially disclose message data to attackers, and involve the sender/client. This solution doesn’t scale because if you continually sequel this, the HTTP header and application code bloat.

    Because SOA appliances are XML-savvy and can exercise technologies such as XPath, they can check inside the message payload to ogle for the actual <po_value> constituent rather than alter the application and HTTP header. If the message is encrypted, you don’t requisite to expose this by externalizing the data; you can just decrypt the message and check the value, and then route accordingly. The client in this case does not occupy to be complicit—the routing is truly dynamic and transparent. The XML alert Network layer is shown in device 1-6.

    One last distinguished feature in regard to the integration yarn is the exercise of appliances as ESBs. The appliances fulfill the model of an ESB by virtue of their tough routing, transformation, mediation, and protocol-switching capabilities. IBM has other ESB products capable of implementing the ESB pattern—WebSphere Message Broker (WMB) and WebSphere Enterprise Service Bus (WESB). Each of these occupy unique capabilities that may suit them for particular usages. Although DataPower may be thought of as a highly secure and performant ESB, the others occupy features that DataPower does not occupy in the arenas of transactionality, persistent message handling, and the capability to drudgery in other programming languages. They dispute ESBs in Chapter 5, “Common DataPower Deployment Patterns,” and Chapter 9, “Multi-Protocol Gateway.”



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