Welcome!

Java IoT Authors: Yeshim Deniz, Liz McMillan, Zakia Bouachraoui, Elizabeth White, William Schmarzo

Related Topics: Java IoT, Microsoft Cloud, @CloudExpo, @DXWorldExpo, @DevOpsSummit

Java IoT: Blog Post

When to Mix the Blue: @IBMBluemix and @Azure | @DevOpsSummit [#DevOps]

Future direction of most enterprises is to build and/or consume the services of smart machines as part of business operations

PaaS Will Rule
While the initial usage of the cloud platform was clearly for the IaaS offerings, the trend is shifting and the PaaS delivery model is gaining a lot of attention. Most of the analysts like IDC and Gartner have predicted huge growth for PaaS in the coming years. IDC predicts Platform as a Service (PaaS) and cloud storage services will be the fastest-growing categories, driven by major upticks in developer cloud services adoption and Big Data-driven solutions, respectively.

Enterprise software services during the last decade are mainly split between the major players, such as Microsoft, IBM, Oracle, and SAP. Out of these, both Microsoft and IBM have come up with a PaaS offering: Azure from Microsoft and more recently Bluemix from IBM.

Nearly 40% of the enterprise software market share lies with the top four software vendors - Microsoft, IBM, Oracle and SAP, and out of which IBM and Microsoft have further consolidated with PaaS offerings. It would be wise for enterprises to think about how to utilize both of these offerings to improve the enterprise.

The following are some of the typical use cases where both these offerings can be utilized, complimenting each other.

IBM Bluemix and Microsoft Azure in the Enterprise

1. Heterogenous Shops
Most enterprises have a mix of .NET, Java EE, Oracle, SQL Server, DB2, WebSphere, IIS and other open source products as part of their enterprise IT bill of materials, and in those cases both BlueMix and Azure provide you with options.

Services from Azure: Cloud services, websites, SQL Database Services, Biztalk Services, Active Directory Services make a perfect combination of those units and departments within the enterprise that have invested in .NET-based applications and can utilize the PaaS offerings from Azure.

Services from Bluemix: Liberty for Java facilitates development and deployment of Java EE applications. This PaaS environment is powered by WebSphere Application Server and support for Java EE applications. For non-Microsoft database support, the SQL Database adds an on-demand relational database to your application. Powered by DB2, it provides a managed database service to handle web and transactional workloads. There is support for various NoSQL databases like, MongoDB, Cloundant.

2. Next-Generation Smart Machines
The future direction of most enterprises is to build and / or consume the services of smart machines as part of business operations. Smart machines are all about machines understanding Human behaviors and extending them quick decisions. Smart machines are built by combining multiple services that are available from both Azure and BlueMix.

Services from Bluemix: IBM has plugged in their Watson system as part of the  Bluemix offering, which is quite unique when compared to other PaaS offerings. Watson can perform lot of tasks that will act as the building blocks of smart machines. Some of the typical services are:

  • Language Identification
  • Machine Transalation
  • Concept Expansion
  • Relationship Extraction
  • Question & Answer
  • Message Resonance
  • User Modeling

Services from Azure: Smart machines are better built if the output from the services like concept expansion and relationship extraction is fed into machine learning models such that the machines become as intelligent as humans, if not better than humans. Azure Machine Learning is a fully managed cloud service for predictive analytics. By leveraging the cloud, Azure Machine Learning makes machine learning more accessible to a much broader audience. Predicting future outcomes is now attainable.

3. Internet of Things
The explosion of devices that are interconnected with each other and through which the various disconnected parts of the world can be connected and decisions made on those events is the direction the world is moving in. Both Bluemix and Azure support several services to support the IoT model. Surprisingly there is an element of co-existence there too.

Services from Bluemix: Internet of Things Foundation provides simple but powerful application access to IoT devices and data. With this service, we can register devices, securely receive data and send commands to those devices. Additionally we can access historic device data.

Services from Azure: Event Hubs is a highly scalable publish-subscribe ingestor that can intake millions of events per second so that you can process and analyze the massive amounts of data produced by your connected devices and applications. Once collected into Event Hubs you can transform and store data using any real-time analytics provider or with batching/storage adapters.

Stream Analytics is an event-processing engine that helps uncover real-time insights from devices. Together, Event Hubs and Stream Analytics let you process massive amounts of real-time data so you can make business decisions in real-time.

As per the documentation, the devices that can be registered using Blue Mix Internet Of Things Foundation can either be consumers or producers of messages which can be processed by the services from Azure like Event Hubs and Stream Analytics.

4. Vendor Lock In & IT Policies
As Microsoft and IBM have several competing products even in the traditional enterprise IT space, there are a list of services where there is an overlapping of functionalities apart from the co-existence scenarios mentioned above. But in most enterprises, especially large ones, where there are strategic IT decisions against a single vendor, they may likely have two vendors for their IT operations. Even in that context IBM Bluemix and Microsoft Azure provide good options for enterprises.

Integration Options
If an enterprise wanted to utilize both Bluemix and Azure naturally they need some good integration options. Here are some options provided by both of them.

Bluemix Cloud Integration enables users to quickly integrate cloud services with enterprise systems of record. Cloud Integration for Bluemix enables secure communication with on-premises Secure Connectors. This means that with appropriate network support, Bluemix can connect with the end points exposed by Windows Azure also. It is built using the CastIron product suite.

Azure Service Bus is a generic, cloud-based messaging system for connecting just about anything - applications, services, and devices - wherever they are. Connect apps running on Azure, on-premises-or both. You can even use Service Bus to connect household appliances, sensors, and other devices like tablets or phones to a central application or to each other.

While the case studies or live implementations of integration between Azure and Bluemix are missing from the above options, it is clearly possible to do them.

We should also wait for initiatives like InterCloud that are all about cloud interoperability. For example, Cisco Intercloud Fabric is a highly secure, open, and flexible solution that gives you complete freedom in workload placement, based on business needs. It applies the same network security, quality of service (QoS), and access control policies in public clouds that you enforce in the data center. And as capacity is added, there is no demarcation between internal and external clouds.

More Stories By Srinivasan Sundara Rajan

Highly passionate about utilizing Digital Technologies to enable next generation enterprise. Believes in enterprise transformation through the Natives (Cloud Native & Mobile Native).

IoT & Smart Cities Stories
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments t...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...