000-998 Questions and Answers

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000-998 WebSphere Message Broker V6.0, System Admin

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000-998 exam Dumps Source : WebSphere Message Broker V6.0, System Admin

Test Code : 000-998
Test Name : WebSphere Message Broker V6.0, System Admin
Vendor Name : IBM
Q&A : 102 Real Questions

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IBM IBM WebSphere Message Broker

Three things IBM ought to Do To hold purple Hat Acquisition From Sinking The company | killexams.com Real Questions and Pass4sure dumps

IBM’s announcement that it wants to pay $34 billion for open source chief red Hat raised the eyebrows of each person who follows commercial enterprise tech.

The biggest utility acquisition in history, and for what? Revenues that signify little greater than a rounding error for the Armonk behemoth? Open supply software that IBM may get for free of charge? Bragging rights, in all probability?

None of these explanations can infrequently clarify the severe eco-friendly large Blue is procuring big red. right here’s my take.

What IBM is in fact purchasing

red Hat presents actual business-class application, including its Kubernetes-primarily based OpenShift Container Platform, the JBoss commercial enterprise utility Platform, and maybe its crown jewel, crimson Hat commercial enterprise Linux.

only one difficulty: red Hat’s items are unapologetically open source, which potential first, the code itself is free for the taking, and second, that purple Hat’s business mannequin centers on guide, working towards, and expert services, fairly that software licenses or subscriptions.

If no longer the utility itself, then, what's IBM getting? the most typical reply: purple Hat’s people.

by way of all money owed, purple Hat has a terrific group, to make certain – but there is one big gap in this thought: americans can stroll. and they are already doing so, in droves. once any golden handcuffs expire, predict to peer greater defections.

IBM, of direction, realizes it's going to lose lots of red Hat’s top of the line individuals – if now not for the difference in culture, then quite simply for the indisputable fact that IBM requires its personnel to reside near its places of work, a policy that has lengthy been anathema to the pink Hat tradition.

What about pink Hat’s shoppers? It lists many blue chips on its client record to make sure, but most of them are IBM clients as well in a single means or one other. after all, we’re talking commercial enterprise IT right here, and it doesn’t take lengthy until you run into some IBM product or carrier at any huge business.

The real proof that the acquisition isn’t about consumers is to evaluate the revenues of both agencies: purple Hat’s $2.9 billion to IBM’s $79 billion (2017 numbers). yes, IBM makes greater than 27 times what purple Hat brings in, and is then again paying pretty much half its annual earnings number (no longer earnings, intellect you) for the smaller enterprise.

the place does that leave us? for my part, this acquisition is all about OpenShift, which I consider IBM sees as the key to hybrid IT. Hybrid IT – a workload-centric abstraction across diverse public clouds, private clouds, virtualized infrastructure, and legacy assets – is shaping as much as be the contemporary commercial enterprise IT paradigm for the next decade.

And at the heart of business IT? Kubernetes, the open supply container orchestration platform on the heart of OpenShift.

reasonable adequate, IBM is skating to the place the puck can be, and that skill enterprise Kubernetes at scale, and the most beneficial approach to get there's by means of OpenShift. but such a strategy doesn’t adequately clarify the acquisition, for the causes I covered above.

My conclusion: this acquisition is a desperation play, a Hail Mary of Hail Marys. bear in mind, IBM’s 2013 SoftLayer acquisition become itself a Hail Mary attempt at competing within the public cloud market. centered dealer Microsoft succeeded with Azure, so why now not IBM?

best SoftLayer underdelivered. Cloud Foundry-based BlueMix didn’t support IBM turn the corner, both. and massive Blue’s other strategic strikes, specifically Watson and blockchain, aren’t going to turn the business round any time quickly.

It’s time to position the entire chips on double-zero and let that little steel ball spin.

IBM is gambling its survival on the red Hat acquisition.Mark Hillary

What IBM should still Do to live to tell the tale

It’s Innovator’s quandary time for IBM – and that they understand it. The best approach for an incumbent seller to live to tell the tale the disruptive innovations of smaller, nimbler competitors is to reinvent the company – and that ability dropping the bags of the past.

the primary stream: deprecate all WebSphere products. From its utility server to its message broking service to its company technique management platform, all WebSphere expertise predates the cloud and as a consequence represents the legacy, on-premises way of running IT.

although, hybrid IT isn't about retaining legacy, it’s about giving companies a course for changing it. proper, WebSphere represents a cash cow for IBM, as middleware is intricate to substitute. but to ensure that IBM’s customers to live to tell the tale, they need to cut ties with the past and move to a cloud-first hybrid IT method, and so IBM have to achieve this as well.

IBM’s 2d movement: rename the enterprise. company machines are issues of the past, international or no. We’re not speaking punch card readers and Selectric typewriters right here, individuals.

altering the name of the combined entity to purple Hat (or possibly to purple Hat IBM) will signal to every person inner and out of the organization that IBM is desirous about trade.

The third, and most tricky movement: adopt the pink Hat lifestyle, at least across IBM’s application corporation.

From its earliest days, purple Hat’s reputation was a corporation that become basically cult-like in its dedication to the open source mentality. As its grown, it has maintained this singular center of attention, while a public company with quarterly revenue aims and all of the other trappings of a a hit enterprise.

In contrast, IBM’s culture has lengthy headquartered on efficiency. Make your numbers, achieve your desires anything the cost, in the constraints of the big IBM computer.

What IBM’s culture lacks, commonly speaking, is a focus on anything more critical than gains, the manner that pink Hat’s lifestyle makes a speciality of openness in its quite a few varieties. If this critical aspect of pink Hat’s subculture spreads to IBM, in preference to the other way around, then the mixed company has an opportunity to survive.

be aware, corporations that center of attention on profits in times of disruption are the dinosaurs that get themselves booted off the Dow and worse. crimson Hat has figured out a way to live its principles in a way that aligns with its customers’ wants – and as a consequence brings in the revenues. IBM should comply with its lead.

What if IBM Doesn’t Make the essential adjustments?

Frankly, I don’t see how IBM can live to tell the tale in its current form. It gained’t go belly up, of course – it has too many paying consumers for that. however I wouldn’t be in any respect surprised if Salesforce.com or Oracle and even Amazon bought the business, absorbing the bits it favored and promoting off the rest.

Or possibly IBM will smash itself up, promoting off some company units to focus on others it sees as better bets. Will it spin off IBM analysis? cut up off the utility enterprise from its big international services? only time will tell.

in spite of everything, this total article is conjecture, and my crystal ball is no shinier than anyone else’s. however there’s one aspect i will be able to say with sure bet: alternate will proceed unabated. Upstart innovators will continue to take down gradual-relocating incumbents. and also you ain’t considered nothin’ yet.

Intellyx publishes the Agile Digital Transformation Roadmap poster, advises corporations on their digital transformation initiatives, and helps carriers talk their agility studies. As of the time of writing, IBM is a former Intellyx client. none of the other businesses mentioned listed here are Intellyx purchasers. picture credit score: Mark Hillary.

Correlsense proclaims SharePath for IBM WebSphere Message broking service, Improves provider-stage management, Error Identification and Bottleneck Isolation | killexams.com Real Questions and Pass4sure dumps

FRAMINGHAM, MA--(Marketwired - Jun 11, 2013) - Correlsense, a leading IT monitoring utility enterprise, these days delivered SharePath for IBM® WebSphere Message broking service (WMB). This latest enhancement to SharePath 3.0, the enterprise's commercial enterprise-type APM solution for managing advanced interconnected purposes, is optimal for any company relying on IBM middleware for its transactional backbone.

As functions become increasingly connected, companies are employing enterprise provider Buses (ESBs) to address the communications between disparate purposes and functions. the use of an ESB, however, introduces new administration challenges. They are often decoupled from the core application and execute company good judgment and code which provides complexity while increasing the time to notice and isolate efficiency issues. unlike other middleware administration options that focal point on infrastructure monitoring, SharePath for IBM WebSphere Message broking service presents greater granular visibility into the finished circulate of individual message flows into, within and out of the ESB. This provides indisputable proof about where performance issues and error turn up, no matter if inside message broker, during which node, or inside the backend features or purposes.

SharePath follows each message stream via its nodes and external services, and logs all this specific tips in a scalable huge statistics repository, including parameters, values and exception error of every execution. besides extensive developed-in logging, auditing, and monitoring of all messages, SharePath offers trending and change analysis to track performance over time.

SharePath for WebSphere Message broking service offers middleware owners, IT operations and construction aid teams the capability to at once bear in mind dependencies and identify middleware bottlenecks. Most principally, SharePath for IBM WebSphere Message broker:

allows IT operations groups to comfortably locate "lost messages" by means of any search standards via a simple full-text search.

provides essentially the most correct bottleneck detection in the marketplace nowadays via monitoring and logging each message movement across its execution, together with usage of external functions and materials, and shows even if bottlenecks are inside WMB or outside of it.

immediately detects all message flows and their exterior dependencies to supply an at all times updated dependency mapping. No guide configuration is required when message flows are up to date or new message flows are deployed.

"SharePath for IBM WebSphere Message broking service empowers companies to gain manage over a vital commercial enterprise component," referred to Nir Livni, VP of items. "corporations the usage of SharePath no longer need to build extensive, costly and mistake-inclined logging and monitoring mechanisms to consider what happened to a particular message and no matter if it succeeded or failed."

SharePath for IBM WebSphere Message broking service is obtainable automatically as a standalone offering or as part of a complete conclusion-to-conclusion APM solution based on SharePath three.0. greater information will also be discovered at http://www.correlsense.com/options/enterprise-want/sharepath-for-ibm-websphere-message-broking service/

About Correlsense Correlsense develops software efficiency management and IT monitoring application. it's the APM made of option for company and IT operations managers that rely on complex and demanding commercial enterprise functions. Correlsense paints an entire and dynamic graphic of IT provider tiers and efficiency for purposes that span cell, SaaS, cloud, facts core and legacy mainframes. Correlsense was founded in 2005, is privately held and SharePath purchasers consist of one of the vital world's greatest monetary, telecom and retail organisations. For greater information, talk over with www.correlsense.com.

light-weight trying out of Heavyweight IBM Message broking service options | killexams.com Real Questions and Pass4sure dumps

this text indicates a arms-on strategy of tips to examine your IBM WebSphere Message broker options in a simple approach using up to date Groovy and Java equipment.

The approach taken may actually be used with more or less any integration platform however some in reality do have constructed-in techniques of doing it, like Apache Camel.

Introduction

testing distributed commercial enterprise integration the use of in our case IBM WebSphere MQ and IBM WebSphere Message broker (IBM name it for their advanced ESB) is not any so with ease executed as it need to be.

The in-built aid for testing isn't assisting us a whole lot (see check client in components).

At my latest assignment there is a wealth of different procedures: JMeter, SoapUI, RFHUtil, MbTest, JUnit, conclusion-to-end consumer checking out, in-condo developed checking out equipment.

I need a better method that works smartly with our CI server and here is the start of that event. To exhibit i will be able to use a vanilla IBM WebSphere Message broking service with default configuration (see appendix for links) after which one of the fundamental utility samples for coordinated request/reply.

To “inject” the records into the examine that may be run as soon as per row above (omitting the particulars)

given: "A XML payload to send" and: "An anticipated reply XML payload" and: "Ignoring changes for configured factor names" when: "The request is sent" then: "A reply is received" and: "The reply payload includes an identical XML"

seeing that I are not capable of appropriately structure this text regarding photographs and many others., you'll must read the whole story at my GitHub wiki as an alternative.

attracted to Kubernetes however doubtful where to birth? take a look at this whitepaper, A Roundup of Managed Kubernetes structures from Codeship through Cloudbees, for a top level view and assessment of Kubernetes systems.

000-998 WebSphere Message Broker V6.0, System Admin

Study Guide Prepared by Killexams.com IBM Dumps Experts

Killexams.com 000-998 Dumps and Real Questions

100% Real Questions - Exam Pass Guarantee with High Marks - Just Memorize the Answers

000-998 exam Dumps Source : WebSphere Message Broker V6.0, System Admin

Test Code : 000-998
Test Name : WebSphere Message Broker V6.0, System Admin
Vendor Name : IBM
Q&A : 102 Real Questions

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

This chapter is from the book 

While the appliances are quite versatile and can thus be used to solve many different types of problems (and implementers have been quite creative in this regard), we find there are a few common use cases that are typical. These generally focus around security, performance, cost savings, and integration. In the following sections, we discuss each of these in more detail.

Solving Security Problems

Let’s think about what it would take to deploy a software-based proxy product in the DMZ. Each of the layers of the ‘typical server’ shown in Figure 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 also 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 high security environments such as financial 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 do a few things well with fairly simple administrative interfaces, as shown in Figure 1-3.

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

They are designed with security in mind 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 do initial bootstrap). If you want something, you must turn it on!

They have an encrypted file system.

They have no Java, print services, or shareable file system.

They are tamper-proof—backing out the screws on the case disables the appliance.

They have specialized secure handling of crypto keys and certificates.

They have an embedded operating system, not prone 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 field we find even more stringent security policies that do 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, we show how DataPower appliances can also solve this problem.

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

A strong reason for using these types of appliances is the burgeoning risk of systems becoming compromised by XML-based threats. Just as once upon a time we felt HTTP to be innocuous, today we are susceptible to underestimating what can be done by virtue of XML. In Chapter 20 “XML Threats,” we show how entire infrastructures can be brought down using small, simple, well-formed XML files. Only hardware appliances have 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, consider 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 single transaction may have to pass through both environments, so this presents challenges. Because DataPower appliances incorporate a wide range of the latest specification implementations and credential formats, they can be used to transform messages and credentials to fit the target each step of the way. Notice that this can be used to achieve cross-platform single-signon (SSO), although that also depends on other factors such as having a common registry.

To Lower Total Cost of Ownership (TCO)

Refer back to the scenario in Figure 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 irrelevant 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 Figure 1-2, you have to continually install fixes and updates at every layer of the stack. However, for appliances, you typically do this by uploading a small firmware update and rebooting, which takes only minutes. In the server scenario, you have multiple different administrative consoles to manage the layers of the stack; with the appliances, you have only one console.

The TCO return does not solely manifest itself in the setup and administration of the platform. Consider the silo example 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 need to be implemented across all 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 same on each platform, which can lead to security holes or application failures. This is depicted in Figure 1-4.

Figure 1-4 Redundant administration versus simplified appliance model.

A more concrete example can be implemented by creating a single 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 all platforms. All this is based on standards that we discuss later, not only Web services itself, but also 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 found 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 easy 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 found 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 consider 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 business logic! Also consider the absolute waste 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. Figure 1-5 shows a graph demonstrating the CPU overhead of various common tasks. (Notice the parsing level is low here—the main hit when parsing is memory utilization.) Notice the impact of security operations. This can be helped somewhat with hardware-assisted acceleration, but the cost-benefit of hardware acceleration boards is often debated. Also note that abusing these security features to consume CPU resources is one way of mounting attacks.

A grand solution for this, of course, is to use appliances to do all that heavy lifting at near wire speed. As you will see when we discuss the appliance characteristics, they are amazingly fast and can handle these tasks at orders of magnitude faster than software-based solutions running on standard servers. Now focus on another scenario—one where the appliance makes sure that only clean 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 block for Java-based software systems processing XML. In modern day real-world systems, we 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 heap sizes in many platforms. Due to aggressive built-in streaming and compression, appliances can handle messages larger than their actual memory space.

On another message-related topic, consider applications that do 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 business 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 Figure 1-5) and result in bloated application code. We all know that line-for-line, application code is expensive in terms of programmer time, testing, and debugging. Now consider the effect 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, our application has gone on quite a diet, is less expensive to maintain, and is much faster. One field scenario consisted of a frontend cluster of Java EE applications to do such transformations to keep the cluster of business 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 Figure 1-5, it was expensive. The solution was to move 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, we 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 good example of easily integrating disparate platforms, particularly when the standards and specifications are in flux. It is difficult for software-based solutions running on standard servers and products to keep up with this. On the appliance, you load a firmware update to get the latest and greatest.

However, there are other issues that arise when integrating different platforms. Consider a scenario in which a medium-sized business XYZ Corp has its infrastructure running on legacy platforms and technologies, perhaps mainframe-based EDI. The business partners that they depend on have long since moved their platforms to Web services and are telling poor XYZ Corp that they can no longer afford to support 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 bad 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 place appliances at the front of the network as proxies, cook up a WSDL file to describe some Web 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 send them over MQ or IMS Connect to the legacy backend. The backend does not have to change, and no programs have 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 opportunity for protocol bridging, content enrichment, and integration between platforms. Notice that the previous scenario involved message transformation. The XI50 DataPower appliance can handle either XML-to-XML or non-XML transformation scenarios, meaning that messages can be transformed to the appropriate 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 make dynamic routing decisions “on the edge of the network,” we have DMZ Web servers, proxies, and load balancers handle this. The problem is that they can understand only the protocol and not the payload of the message. To accomplish the goal, applications place some value in the protocol header to facilitate the content-based routing. As an example, if we want any purchase orders over one million dollars to be routed to high-priority servers, the sending application would place a cookie or attribute 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 have to put 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 do this, the HTTP header and application code bloat.

Because SOA appliances are XML-savvy and can use technologies such as XPath, they can check inside the message payload to look for the actual <po_value> element rather than alter the application and HTTP header. If the message is encrypted, you don’t need 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 have to be complicit—the routing is truly dynamic and transparent. The XML Aware Network layer is shown in Figure 1-6.

One last important feature in regard to the integration story is the use of appliances as ESBs. The appliances fulfill the model of an ESB by virtue of their strong 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 have unique capabilities that may suit them for particular usages. Although DataPower may be thought of as a highly secure and performant ESB, the others have features that DataPower does not have in the arenas of transactionality, persistent message handling, and the capability to work in other programming languages. We discuss ESBs in Chapter 5, “Common DataPower Deployment Patterns,” and Chapter 9, “Multi-Protocol Gateway.”

MESSAGING: WHAT TO CHOOSE AND WHEN | killexams.com real questions and Pass4sure dumps

In the previous blog, we gave an overview of the different messaging protocols available to us (AMQP & JMS) and listed each one’s benefits and issues. In this blog, we intend throwing light on the different messaging solutions available in the market such as Kafka, RabbitMQ, Cloud Messaging solutions such as Amazon SQS and Google Pub Sub, Container built in messaging such as Oracle M)M in Oracle Weblogic and IBM MQ in WebSphere and which should be used for what situation

Apache Kafka

Apache Kafka is a message broker that was originally developed by LinkedIn before going open source under the Apache umbrella. Kafka’s main focus was speed and efficiency. It can maintain a message throughput rate of 100k+ msgs/sec which is significantly higher than most other alternatives. However, other basic features found in other brokers are eschewed in favor of efficiency. Features like message acknowledgments, routing rules and an admin UI are not available as standard. Even though Kafka is defined as ‘stable’ and ‘production-ready’, deploying Kafka in HA mode is tougher than it is with other providers. It is highly dependent on the Zookeeper module in order to maintain synchronization between multiple Kafka nodes and client apps.

RabbitMQ

RabbitMQ is an open source message broker software managed by Pivotal. It implements the Advanced Message Queuing Protocol (AMQP) which we described in detail in the earlier blog. Unlike Kafka, RabbitMQ comes with a built-in management dashboard for easy configuration and monitoring of message queues. It also supports requests for message acknowledgements and is easily deployed in HA mode with minimal effort. With a message rate of about 20k+ msgs/sec which is much less than Kafka, it’s sufficient enough for most use cases. Due to it’s platform-independent framework and ease of use, RabbitMQ is a very mature message broker offering with a lot of extended support from the community.

Amazon SQS

Simple Queue Service (SQS) is Amazon’s cloud-based message queuing system made available as part of Amazon Web Services (AWS). Unlike the other brokers mentioned here, there is barely any setup/deployment required for an application to use SQS. All you need is AWS credentials to be able to use it. Since it is a SaaS (Software-as-a-service), this makes it a much lower-cost option since there is no infrastructure cost. You only pay for what you use. SQS also has the notion of in-flight messages. This means that the message is pulled off the queue but never deleted until the ‘delete‘ command is sent for that message ID. So if you lose your worker mid-processing of the event, that event isn’t lost for good.

One drawback of the SQS implementation is the need for polling of a message queue to determine if new messages have appeared. This is a bit of an issue being as you must now model your application to perform a polling cycle in order to determine if new messages are available. While the SQS costs are reasonable, Amazon places a limit on the message rate which can be increased on request and also charges extra based on the overall message rate.

Google Cloud Pub/Sub

Google’s Cloud Pub/Sub is a fully-managed real-time messaging service that allows you to send and receive messages between applications or server. It is developed specifically to faciliate messaging among applications deployed on the Google Compute Engine (GCE) cloud. It’s basic features are very similar to that of Amazon’s SQS in that there are no infrastructure costs and you pay for what you use. The major difference from SQS is that Google charges based only on volume and not transacation speed i.e. you will not be charged extra for a sudden increase in message rate.

IBM MQ & Oracle WebLogic JMS

Both IBM MQ and Oracle WebLogic JMS are very similar in features to standard JMS. You would choose one over the other based on what framework your app is using i.e. if your app is deployed on IBM Websphere, it will be much easier to integrate it with IBM MQ than any other provider.

Similarly, it would be simpler to integrate an app running on Weblogic with the JMS server that it provides instead of an external provider.

For in-detail comparisons , read more here — https://techblog.xavient.com/messaging-what-to-choose-and-when/

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Vendor	:	IBM
Exam Code	:	000-998
Exam Name	:	WebSphere Message Broker V6.0, System Admin
Questions and Answers	:	102 Q & A
Updated On	:	December 17, 2018
PDF Download Mirror	:	Pass4sure 000-998 Dump
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