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Archive for the ‘Message Broker’ Category

How To: Message Selectors in WMB & WMQ as JMS Publish Subscriber

WebSphere MQ, when used as a JMS provider, can be leveraged to implement one of the widely used architecture patterns, the Pub-Sub model. In this use case, we have a message flow as the service provider that connects to WMQ publisher and another consumer message flow that uses WMQ topics as a subscriber within WebSphere Message Broker. Here message selectors are used as filter criteria for a given topic string. The steps below will guide you through the implementation of the use case.

Create Topic to Publish Messages

1. Create Topic to publish messages: Expand QM (MQ Explorer) -> Select “Topics” -> New -> Topic

New Topic
Create JMS Administered Objects

1. Create initial context under “JMS Administered Objects” ->”Add Initial Context.” Read the rest of this post »

Creating A Cluster Using WAS ND v7.0


How to create a cluster using Websphere Application Server ND v7.0:


Install the WAS ND v7.0 along with the required components and test for its successful installation.


  1. First step is to create a profile. Profiles can be created either by using the Profile management Tool (PMT) or command prompt based on the OS the tool is installed. Read the rest of this post »

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Posted in Message Broker

The Concept Of Clustering

This blog is intended for the beginners of Websphere application server. Before starting with what a cluster is, let’s brush up from the basics as follows:

Application Server: An application server acts as a middle-tier component between the front-end application serving business logic and back-end persistent database.

Node: It is a logical group of Application servers.

Node Agent: The node agent distributes the instructions, administrative requests to nodes and synchronize all the application servers with the deployment manager.

Cell: Logical grouping of nodes are called cell.  It involves in administrative activities. A cell can contain many clusters. Intern every cluster can have one or more nodes.

Deployment manager: It’s a WebSphere instance that acts as the administrative controller of the cell (also implementing that it gains control over the nodes and application servers)


The very first thing that comes to mind when the word cluster comes up is a “group”. Yes, clusters are nothing but group of application servers. A cluster can contain multiple instances of the same application server to attain application high availability and failsafe condition.  The term failsafe is used because it helps to avoid either a process failover or a machine failover. Clustering ensures that the members are working and they have the same configuration as provided by the administrator. Read the rest of this post »

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Posted in Message Broker

Active and Standby Installation for MQ 7.5 and IIB 9.0


High availability is always an important topic, which is often thought at end of the project or even sometimes at the time of downtime/disaster.

While it is challenging to set up high availability environment, as you have to spare time and money to complete; here is my attempt to provide you with a prototype that you can set-up in matter of few hours using VMWare.

This article helps to quickly, complete proof of technology or prototype for high availability environment with active and standby MQ/IIB instances.

It covers whole nine yards of this topic i.e. from installation of VMware to testing of fail-over from client.

1. Installation of CentOS:

Follow Installation of CentOS procedure twice; first to create VMWare instance for Active and then for Standby server.
We will use these two instances of CentOS for active and standby installation/configuration on MQ and IIB.

1.1 Download CentOS .iso installable file.

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Posted in Message Broker, WMB

Wooing the Connected consumer ….@IBMInterConnect 2015

It was a great week at IBM Interconnect with so many great sessions to choose from, activities to participate in, and networking to be had. I want to share my thoughts on one session in particular that was of interest – Carter’s “Creating a Smarter Shopping Experience”.   During the session I was reflecting on all the retailers we are working with to build innovative technology solutions to woo the connected consumers of today and how shopping has evolved from park the car, pick from the shelves, check out and bring home. Shopping has also evolved from search online, add to cart, pay and wait for delivery. Rich pins on Pinterest, Likes on Facebook and hashtags on Twitter drive purchases of goods and services.

Retailers like Target, Carters, JCrew, Nordstrom, Starbucks etc. have begun to incorporate social networking channels into their campaigns. The consumer is now ‘connected’, ‘always-on’ and being bombarded by marketing campaigns from competitors all over the globe. Although, consumers still make the conventional decision of buying what they need and when they need  it, alternative business models are making their way front-and-center to reap the benefits of understanding the  consumer behavior. Thousands of analytics apps scour heaps of structured and unstructured data, to figure out what and when the consumer will buy and most importantly, what the consumer feels.

The ‘Connected’ Consumers defined:

  • They rely on social channels to guide purchases.Blogpost1
  • They expect personalized experience, tailored to their needs.
  • They want mobile alerts on promotions, special events and recommendations based on purchasing history.
  • They want a 360 degree view of the product, not only physical looks from every angle, but also technical specifications, reviews, market trends, price match and customer ratings at their fingertips.
  • They expect broad assortments, ‘endless aisles’ and competitive pricing for products of interest.
  • They need flexible order systems, where order should be received from any channel – store, online, mobile, call center and shipped from anywhere – manufacturer, distribution center or store.
  • They demand faster and flexible delivery and return options in hours, days, and weeks or scheduled for months later.
  • And…. all this via a wearable device, if you please!

Initiatives to make it work

Tight coupling of customer engagement systems, marketing technology and social tools enable better understanding of shopper behavior and patterns. Creation of social profiles in social CRM systems, like Salesforce, use of social listening and real – time insights with tools like IBM’s Consumer Insights could be put to work. It may require re-inventing email marketing programs and lead management.

Investment in data analytics to track consumers’ purchasing patterns, social media monitoring and sentiment analysis provides a sure shot payback. The adoption of Internet of Things has a huge impact on future business models where sensors in brick-and-mortar stores will help gather and process data. IBM’s InfoSphere BigInsights, Apache Cassandra and Hadoop facilitate scalable and affordable real-time analysis. Fast delivery can be achieved by an in depth understanding of getting the right items to the right locations at the right time. This implies that inventories are managed and updated in real time, order management and logistics systems are fully integrated and tuned to work in synchronization.


To extract value from mobile for the connected consumer the key factors for engagement are personalization, contextualization and geo-location. A robust mobile strategy that encompasses these factors will stand the test of constant digital disruption.

Web APIs are the magic words that bond cloud, social and mobile technologies to work in unison for a common goal. These lightweight software interfaces streamline access to product information, store inventory, location details and mashups of other APIs from various sources. All systems throughout Amazon communicate via APIs. Several other APIs from leading retailers like Target, eBay, Best Buy can be quickly consumed to spin up a new site.

Now wearable technology is the hottest consumer trend that needs to be taken heed of, when developing shopping experience. Data from wearable technology can be funneled into existing ecosystems for personalized shopping experience. Mobile-friendly websites reduce shopping card abandonment. Websites should be optimized for mobile devices and integrated with mobile couponing and mobile payments. Mobile enabled loyalty programs keep customers engaged and add value to brand interactions. Self-service kiosks, enabling technologies like mobile, Bluetooth low energy (BLE), clienteling software and retail apps are facilitating and further enhancing the retail experience, uncovering new revenue sources and enable one-to one marketing.

A seamless approach to customer experiences available through all shopping channels, a single view of shopper derived from personal profiles and a single database of products, prices and promotions is the Holy Grail, and the path is strewn with challenges. Legacy applications and business functions require transitioning to newer tools and applications.

With careful approach of building interfaces across projects in an incremental fashion, establishing integration standards and best practices for across projects, the possibilities are practically endless. I left InterConnect more determined than ever to get our teams engaged with top retailers, and all industries really, to keep them relevant, innovative, and competitive in their marketplace. Then I rested my weary feet after a week in Las Vegas. J


Performance Testing Framework for Websphere Message Broker

With this post, I will cover performance testing framework for Websphere Message Broker.

Tools Used:

Tools used to do the performance testing of ESB interfaces:

  • Jmeter
  • SupportPac IS03

The following section will brief the tools that are used in the ESB Performance test plans.


Jmeter is an open source Apache Software used for load testing the applications. It’s a 100% pure java application for load and performance testing. It requires JDK 1.6 or higher. This is a Java desktop application with a graphical interface using the Swing graphical API, can therefore run on any environment / workstation accepting a Java virtual machine, for example: Windows, Linux, Mac, etc. Read the rest of this post »

Integrating IBM Integration Bus with DataPower XC10 – (REST APIs)


In this article we will discuss about how you can achieve the integration between IBM Integration Bus (IIB) and WebSphere DataPower XC10 (XC10) using the REST APIs functionality of XC10 devices. Since the release of the V9, IIB can now connect to an external data grid cache to improve SOA’s services performance by the use of a eXtreme Scale client. But the good thing about integrating with the XC10 REST APIs is that it can also be achieved by previous and earliest versions of WebSphere Message Broker (WMB) like 7 and 8.

For a complete understanding of Global Cache and External Cache on IIB, please consider the following link:

If you’re looking for details on how to achieve this integration using the Java APIs MbGlobalMap, please visit:

Also, a detailed explanation of the Side Cache pattern in a SOA architecture is beyond the scope of this article. To learn more about the pattern, please consider the following links: Read the rest of this post »

WebSphere Message Broker integration with Netezza using ODBC/JDBC

What is Netezza:

At an extremely high level Netezza is a massively Parallel Process Database Appliance designed to process and analyze large amounts of data. Netezza’s core value is to keep the things simple and accelerating high performance analysis of data to help clients uncover insights into their business. One of the reasons of it’s performance is that it is deeply integrates hardware, software and storage to simplify and accelerate deployment to deliver business analytics value in few days. This data warehouse appliance requires nearly no to minimal tuning and administration – e.g., no storage administration, less database/system administration – further reducing the cost of deploying and total cost of ownership.

WebSphere Message Broker integration with Netezza using ODBC/JDBCIBM Netezza appliances are now part of IBM PureSystems – expert integrated systems with built in expertise, integration by design and a simplified user experience. Part of the PureData family, the Netezza appliance is now known as the PureData System for Analytics. It has the same key design tenets of simplicity, speed, scalability and analytics power that was fundamental to Netezza appliances. With simple deployment, out-of-the-box optimization, no tuning and minimal on-going maintenance, the IBM PureData System for Analytics has the industry’s fastest time-to-value and lowest total-cost-of-ownership.

What is Message Broker:

IBM WebSphere® Message Broker is an Enterprise Service Bus (ESB) built for universal connectivity and transformation in heterogeneous IT environments. WebSphere Message Broker distributes information and data generated by business events in real time to people, applications, and devices throughout your extended enterprise and beyond.

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Posted in Message Broker, News, WMB

Simplify Development = Embrace Patterns

I’m a BIG believer in two things: a) work smarter, not harder; 2) keep things simple — avoid complexity. Complex leads to complicated, complicated leads to misunderstanding, misunderstanding leads to chaos. Nonetheless, my guidelines seem easy enough, right? Well, good news then, they are simple and easy to apply in just about anything we face day to day — except in golf. Ah yes, the wonderful world of golf [which currently holds me hostage]. The place where complex instructions, ideas and or suggestions have license to run rampant — like a wild herd of buffalo feasting on the open range. If anyone tells you differently about golf, run. I started hacking away on fairways and driving ranges across this great country 28 years ago. It’s only recently that I finally feel like a hero when I play. But that feeling came at a high price. Golf IS a complex sport to learn, practice and or play. It requires the highest of all levels in humility and stick-to-itiveness. Love that word, stick-to-itiveness [defined as: the quality that allows someone to continue trying to do something even though it is difficult or unpleasant]. But I digress.


Let’s get back to keeping things simple in the blog. What is a pattern, as it applies to WebSphere Message Broker [WMB] and or IIBv9? In short, a pattern is a reusable solution that encapsulates a tested approach to solving a common architecture, design, or deployment task in a particular context. Ever hear of the television show Cupcakes Wars on Food Network? Each show consists of cupcake bakers battling to see who will reign supreme as cupcake baker of the week. In the final bake-off, bakers are required to bake 1,000 cupcakes each. To accomplish this, bakers use commercial cupcake pans, like the one shown to the right. So, how does a cupcake pan apply to patterns in WMB or IIBv9? Easy, the pan is my pattern. The pattern ensures that each artifact [message flows in WMB or IIBv9] are created the same, like a cupcake. Are you now thinking “…what about customization Jason?” Easy, what kind of cupcake does your client like? Vanilla, chocolate or strawberry? Does it need sprinkles and frosting too? In case you’re curious, my fav cupcake is a vanilla, maple syrup and bacon concoction. Read the rest of this post »

eXtreme Scale

Just for curiosity’s sake and this blog, I looked up the definition of ‘cache’ [as used in computer science]. Most sources define it as “…a component that transparently stores data so that future requests for that data can be served faster “.  The part about served faster reminded me of an old adage. It goes like this. Cheap, fast and good; pick two. In other words, say you need something that is cheap and fast; most likely, it will not be good. Kinda like the bread sticks I ordered for dinner earlier this week. Conversely, say you need something that is fast and good, it will not be cheap. Enter WebSphere eXtreme Scale [WXS]; an enterprise caching solution.

eXtreme ScaleIn the SOA world, architects, developers and or administrators are consistently faced with performance challenges. For me, I feel immersed in a never-ending battle of resolving and or improving our client’s performance issues. Many customers have business applications that process thousands, hundreds of thousands, if not billions of transactions daily. Typically, these applications will require high levels of efficiency and near-linear capability. It is here that WXS, a distributed caching platform fits well. It provides an efficient way to increase and streamline system wide performance. WXS is designed to work in heterogeneous environments throughout leading application server platforms and visualization environments.

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