Click here to close now.


Java IoT Authors: Liz McMillan, Pat Romanski, AppDynamics Blog, Ed Featherston, Victoria Livschitz

Related Topics: Microservices Expo, Java IoT, Industrial IoT, Microsoft Cloud, IoT User Interface, Agile Computing

Microservices Expo: Book Review

Book Review: A Practical Approach to Large-Scale Agile Development

How HP Transformed LaserJet FutureSmart Firmware

I must admit that before I began reading this book I truly thought it was going to be another twisted story of an attempt at agile that failed in everyone's eyes except for those that needed to say it was a success. That is what I am used to.

It is kind of like when I am on a product reference call to CIO. The product is always great and the company who sold it is always wonderful. Why some people think the CIO is going to say they didn't do their due diligence when picking a vendor, and the product and company we are asking about sucks, is beyond me?

They never do. The same is true of almost all the agile projects I have seen. They end over budget, buggy, and pretty much the same way most projects end that use any other process, but they are always deemed a success by those involved.

I was ready to tell myself I was correct in my assumption when I got blasted on page 2 with the Agile Manifesto, but decided to give them to the end of the chapter. In the next section of the chapter they caught my attention with the last of a list of 6 topics which was their take on Agile/Lean Principles. Number 6 was practitioners should define agile/lean practices.

I find myself saying the same thing all the time on a ton of different projects. When it comes to leading large complex agile projects, if you have not come up through the ranks being mentored on successful agile projects, and learning through experience, not books, you have no business defining process and leading the project. I have met very few people who agree with this line of thought and it impressed me that the authors did.

That one line of thought pushed me to read chapter 2. Again I was pleasantly surprised with the authors discussing the need to engineer a solution. Not implement a process, but engineer a solution. By the end of this chapter the authors had done a great job summarizing where their teams use their resources now and assembled some excellent development objectives.

Another thing the authors discussed was the capacity of their organization to absorb change. This is something that is almost always overlooked when bringing in new development processes, agile or not, this is something that needs to be looked at throughout the entire organization. This is usually just isolated to the development teams, but the new processes affect every department when they are implemented correctly.

At the end of the chapter the authors list their achievements:
-2008 to present overall development costs reduced by 40%
-Number of programs under development increased by 140%
-Development costs per program down 78%
-Firmware resources now driving innovation increased by a factor of 8 (from 5% working on new features to 40%)

I am sure these seem exaggerated, and that is what I believed until I read the next two chapters. Over the course of the next two chapters the authors fully won me over. They proceeded to outline implementing a Software Product Line using their own process language. I know from my own experience that when Software Product Line Engineering is done correctly it will always produce improvements like those listed above.

The authors nail exactly what enables their ability to implement an iterative agile process, and that would be investing in the right architecture. Any sizable project that doesn't invest in the architecture and claims they are able to pull off the project in an agile way is full of crap, period.

Product Line Engineering is the process that offers the highest level of agility over all other processes. It is tailorable for different levels of ceremony and is therefore able to run lighter than Scrum given the right team and right environment.

One of the main benefits of Product Line Engineering is the ability to collect metrics and in Chapter 5 the authors identify how to take advantage of them the right way, which is not to manage by metrics, but to use the metrics to understand where to have conversations about what is not getting done. Chapter 5 also outlines their iterative process.

The book continues to cover excellent process practices throughout the rest of the book, and they are applied to a real world project which drives home their value even more. Below are all the chapters included in the book.

Chapter 1. Agile Principles versus Practices
Chapter 2. Tuning Agile to Your Business Objectives
Chapter 3. Aligning Architecture with Business Objectives
Chapter 4. How to Establish a New Architecture Using Agile Concepts
Chapter 5. The Real Secret to Success in Large-Scale Agile
Chapter 6. Continuous Integration and Quality Systems
Chapter 7. Taming the Planning Beast
Chapter 8. Unique Challenges of Estimating Large Innovations
Chapter 9. Our Take on Project Management for Large-Scale Agile
Chapter 10. Organizational Approach: Managing to Disadvantages
Chapter 11. Effective Agile Development Across U.S. and Indian Cultures
Chapter 12. The Right Tools: Quantum Leaps in Productivity
Chapter 13. Real-World Agile Results: HP FutureSmart Firmware
Chapter 14. Change Management in Moving Toward Enterprise Agility
Chapter 15. Differences in Our Perspective on Scaling Agile
Chapter 16. Taking the First Step

Unlike a lot of books I have read on implementing agile practices on large scale projects I believe the results of this project were reported accurately.

I also believed the results were achieved with an iterative agile process. They are honest about the issues they ran into and they hammer on prototyping for architectural issues, which is definitely the way to go.

The author's writing styles make the book an easy read and the story that is told along the way is a very interesting one. I did not get bored with even one page of this book.

This book is a must read for any CIO, Enterprise Architect, Software Architect, Project Manager, or other IT roles in charge of or involved with large scale initiatives that they are hoping to pull off in an agile way. The book tells the story of how to achieve success based on a real world success, not a made up fictional case study.

A Practical Approach to Large-Scale Agile Development: How HP Transformed LaserJet FutureSmart Firmware

More Stories By Tad Anderson

Tad Anderson has been doing Software Architecture for 18 years and Enterprise Architecture for the past few.

@ThingsExpo Stories
The buzz continues for cloud, data analytics and the Internet of Things (IoT) and their collective impact across all industries. But a new conversation is emerging - how do companies use industry disruption and technology enablers to lead in markets undergoing change, uncertainty and ambiguity? Organizations of all sizes need to evolve and transform, often under massive pressure, as industry lines blur and merge and traditional business models are assaulted and turned upside down. In this new data-driven world, marketplaces reign supreme while interoperability, APIs and applications deliver un...
The Internet of Things (IoT) is growing rapidly by extending current technologies, products and networks. By 2020, Cisco estimates there will be 50 billion connected devices. Gartner has forecast revenues of over $300 billion, just to IoT suppliers. Now is the time to figure out how you’ll make money – not just create innovative products. With hundreds of new products and companies jumping into the IoT fray every month, there’s no shortage of innovation. Despite this, McKinsey/VisionMobile data shows "less than 10 percent of IoT developers are making enough to support a reasonably sized team....
Electric power utilities face relentless pressure on their financial performance, and reducing distribution grid losses is one of the last untapped opportunities to meet their business goals. Combining IoT-enabled sensors and cloud-based data analytics, utilities now are able to find, quantify and reduce losses faster – and with a smaller IT footprint. Solutions exist using Internet-enabled sensors deployed temporarily at strategic locations within the distribution grid to measure actual line loads.
You have your devices and your data, but what about the rest of your Internet of Things story? Two popular classes of technologies that nicely handle the Big Data analytics for Internet of Things are Apache Hadoop and NoSQL. Hadoop is designed for parallelizing analytical work across many servers and is ideal for the massive data volumes you create with IoT devices. NoSQL databases such as Apache HBase are ideal for storing and retrieving IoT data as “time series data.”
Too often with compelling new technologies market participants become overly enamored with that attractiveness of the technology and neglect underlying business drivers. This tendency, what some call the “newest shiny object syndrome,” is understandable given that virtually all of us are heavily engaged in technology. But it is also mistaken. Without concrete business cases driving its deployment, IoT, like many other technologies before it, will fade into obscurity.
Today air travel is a minefield of delays, hassles and customer disappointment. Airlines struggle to revitalize the experience. GE and M2Mi will demonstrate practical examples of how IoT solutions are helping airlines bring back personalization, reduce trip time and improve reliability. In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect with GE, and Dr. Sarah Cooper, M2Mi's VP Business Development and Engineering, will explore the IoT cloud-based platform technologies driving this change including privacy controls, data transparency and integration of real time context w...
The Internet of Everything is re-shaping technology trends–moving away from “request/response” architecture to an “always-on” Streaming Web where data is in constant motion and secure, reliable communication is an absolute necessity. As more and more THINGS go online, the challenges that developers will need to address will only increase exponentially. In his session at @ThingsExpo, Todd Greene, Founder & CEO of PubNub, will explore the current state of IoT connectivity and review key trends and technology requirements that will drive the Internet of Things from hype to reality.
The IoT market is on track to hit $7.1 trillion in 2020. The reality is that only a handful of companies are ready for this massive demand. There are a lot of barriers, paint points, traps, and hidden roadblocks. How can we deal with these issues and challenges? The paradigm has changed. Old-style ad-hoc trial-and-error ways will certainly lead you to the dead end. What is mandatory is an overarching and adaptive approach to effectively handle the rapid changes and exponential growth.
Today’s connected world is moving from devices towards things, what this means is that by using increasingly low cost sensors embedded in devices we can create many new use cases. These span across use cases in cities, vehicles, home, offices, factories, retail environments, worksites, health, logistics, and health. These use cases rely on ubiquitous connectivity and generate massive amounts of data at scale. These technologies enable new business opportunities, ways to optimize and automate, along with new ways to engage with users.
The IoT is upon us, but today’s databases, built on 30-year-old math, require multiple platforms to create a single solution. Data demands of the IoT require Big Data systems that can handle ingest, transactions and analytics concurrently adapting to varied situations as they occur, with speed at scale. In his session at @ThingsExpo, Chad Jones, chief strategy officer at Deep Information Sciences, will look differently at IoT data so enterprises can fully leverage their IoT potential. He’ll share tips on how to speed up business initiatives, harness Big Data and remain one step ahead by apply...
There will be 20 billion IoT devices connected to the Internet soon. What if we could control these devices with our voice, mind, or gestures? What if we could teach these devices how to talk to each other? What if these devices could learn how to interact with us (and each other) to make our lives better? What if Jarvis was real? How can I gain these super powers? In his session at 17th Cloud Expo, Chris Matthieu, co-founder and CTO of Octoblu, will show you!
As a company adopts a DevOps approach to software development, what are key things that both the Dev and Ops side of the business must keep in mind to ensure effective continuous delivery? In his session at DevOps Summit, Mark Hydar, Head of DevOps, Ericsson TV Platforms, will share best practices and provide helpful tips for Ops teams to adopt an open line of communication with the development side of the house to ensure success between the two sides.
SYS-CON Events announced today that ProfitBricks, the provider of painless cloud infrastructure, will exhibit at SYS-CON's 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. ProfitBricks is the IaaS provider that offers a painless cloud experience for all IT users, with no learning curve. ProfitBricks boasts flexible cloud servers and networking, an integrated Data Center Designer tool for visual control over the cloud and the best price/performance value available. ProfitBricks was named one of the coolest Clo...
SYS-CON Events announced today that IBM Cloud Data Services has been named “Bronze Sponsor” of SYS-CON's 17th Cloud Expo, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. IBM Cloud Data Services offers a portfolio of integrated, best-of-breed cloud data services for developers focused on mobile computing and analytics use cases.
SYS-CON Events announced today that Sandy Carter, IBM General Manager Cloud Ecosystem and Developers, and a Social Business Evangelist, will keynote at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
Developing software for the Internet of Things (IoT) comes with its own set of challenges. Security, privacy, and unified standards are a few key issues. In addition, each IoT product is comprised of at least three separate application components: the software embedded in the device, the backend big-data service, and the mobile application for the end user's controls. Each component is developed by a different team, using different technologies and practices, and deployed to a different stack/target - this makes the integration of these separate pipelines and the coordination of software upd...
Mobile messaging has been a popular communication channel for more than 20 years. Finnish engineer Matti Makkonen invented the idea for SMS (Short Message Service) in 1984, making his vision a reality on December 3, 1992 by sending the first message ("Happy Christmas") from a PC to a cell phone. Since then, the technology has evolved immensely, from both a technology standpoint, and in our everyday uses for it. Originally used for person-to-person (P2P) communication, i.e., Sally sends a text message to Betty – mobile messaging now offers tremendous value to businesses for customer and empl...
"Matrix is an ambitious open standard and implementation that's set up to break down the fragmentation problems that exist in IP messaging and VoIP communication," explained John Woolf, Technical Evangelist at Matrix, in this interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
WebRTC converts the entire network into a ubiquitous communications cloud thereby connecting anytime, anywhere through any point. In his session at WebRTC Summit,, Mark Castleman, EIR at Bell Labs and Head of Future X Labs, will discuss how the transformational nature of communications is achieved through the democratizing force of WebRTC. WebRTC is doing for voice what HTML did for web content.
Nowadays, a large number of sensors and devices are connected to the network. Leading-edge IoT technologies integrate various types of sensor data to create a new value for several business decision scenarios. The transparent cloud is a model of a new IoT emergence service platform. Many service providers store and access various types of sensor data in order to create and find out new business values by integrating such data.