Welcome!

Java IoT Authors: Yeshim Deniz, Pat Romanski, Liz McMillan, Zakia Bouachraoui, Carmen Gonzalez

Related Topics: Java IoT

Java IoT: Article

Take Two Patterns and Call Me in the Morning

Take Two Patterns and Call Me in the Morning

Life is not easy for today's enterprise application architects. In today's IT world, the architect not only has to design solutions for a plethora of interdependent systems (as is obvious from the job description and title), he or she also has to conform to the ever-evolving standards in a shorter API life cycle, plan for the not-too-distant future, collaborate with business and technical environments, and work on a feasible roadmap for his or her application/application portfolio.

In large organizations, standards for various facets of business and technology are already laid out and managed between several competency centers/centers of excellence, and strict governance is often in place to ensure consistency throughout the organization. To successfully deliver products against hard deadlines, the architects have to make sure that everything complies in the governance process.

With the advances in software engineering, especially in component-based and service-oriented architectures, common guidelines have emerged in the form of design patterns. These design patterns help architects leverage what others have learned in their software design journey. The Java platform is an obvious example of the application of design patterns. Before distributed platforms such as Java came along, the number of folks who could spell "design pattern" was limited to the few who had read the Gang-of-Four book, and that was just a handful of developers in any organization. With Java - Listeners, Proxies, Observers, Factories, Delegates, Facades - all these became a part of the designers' common vocabulary. Reference architectures, frameworks, and plug-and-play followed soon after. Although Java is not solely responsible for this, it has definitely played a big part in the promotion of these concepts. Add UML and RUP to the mix and you not only have the toolkit, but also the ability to document and manage your application's development in a common way.

With all these wonderful tools in the architect's toolkit, why is the job still so complex? Given the tools at hand, an application architect should easily be able to develop applications that leverage:

  • Application frameworks
  • Architecture blueprints
  • Adaptive architectures
  • Reference architectures
  • Prescriptive architectures
These architectures and frameworks have been developed in the software community, as well as within organizations, and they facilitate the design of applications from a common base and building blocks. Apply them to your application and presto - you have a two-minute recipe to create an instant product. Where's the catch?

The basic problem is that the guidelines and patterns, though invaluable, are created outside the application domain. Although they do address the needs of applications, that need is addressed across a number of applications. After all, it's the only way that reuse can be promoted. In this editorial we are focusing on the application architect. The architects in competency centers and standards groups focus on promoting reuse. The focus of the application architect is on leveraging reusable components and leveraging documented patterns to solve a business problem. However, unless a clear path is laid out for navigating through the available choices, he or she may easily choose to develop alternatives in order to meet the demands of the application.

This impasse between the prescription of reuse and its feasibility in the application's context needs to be carefully addressed. Just as the design principles that apply to a broad range of applications are made available for the applications, a guidebook that navigates through these principles should be developed for the application/application portfolio. This guidebook should focus on application design, treating the application as the center of the universe. Then clear governance practices should be established around exporting the reusable artifacts, learnings, and application patterns that emerge out of each application design cycle. These should then be incorporated into the rationale for selecting design patterns published by groups external to the application. After all, communication is a two-way street. Design patterns are no exception.

More Stories By Ajit Sagar

Ajit Sagar is Associate VP, Digital Transformation Practice at Infosys Limited. A seasoned IT executive with 20+ years experience across various facts of the industry including consulting, business development, architecture and design he is architecture consulting and delivery lead for Infosys's Digital Transformation practice. He was also the Founding Editor of XML Journal and Chief Editor of Java Developer's Journal.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Digital Transformation is much more than a buzzword. The radical shift to digital mechanisms for almost every process is evident across all industries and verticals. This is often especially true in financial services, where the legacy environment is many times unable to keep up with the rapidly shifting demands of the consumer. The constant pressure to provide complete, omnichannel delivery of customer-facing solutions to meet both regulatory and customer demands is putting enormous pressure on...
IoT is rapidly becoming mainstream as more and more investments are made into the platforms and technology. As this movement continues to expand and gain momentum it creates a massive wall of noise that can be difficult to sift through. Unfortunately, this inevitably makes IoT less approachable for people to get started with and can hamper efforts to integrate this key technology into your own portfolio. There are so many connected products already in place today with many hundreds more on the h...
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addr...
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Charles Araujo is an industry analyst, internationally recognized authority on the Digital Enterprise and author of The Quantum Age of IT: Why Everything You Know About IT is About to Change. As Principal Analyst with Intellyx, he writes, speaks and advises organizations on how to navigate through this time of disruption. He is also the founder of The Institute for Digital Transformation and a sought after keynote speaker. He has been a regular contributor to both InformationWeek and CIO Insight...
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...
To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in ...
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...