Containers Expo Blog Authors: Elizabeth White, Liz McMillan, Zakia Bouachraoui, Yeshim Deniz, Pat Romanski

Related Topics: @DevOpsSummit, Containers Expo Blog, @CloudExpo

@DevOpsSummit: Blog Post

When Agile, DevOps and Lean Are Not Enough By @BettyZakheim | @DevOpsSummit #DevOps

The missing imperative in software delivery

Lean, Agile and DevOps principles have improved software delivery in many important ways. As evolving markets compel software organizations to increase quality and productivity, interest in these concepts has never been higher. But despite their considerable merits, individually and collectively, they can fall short in addressing the full range of issues confronted by modern software organizations. To close the gaps, these principles must be knitted together in a way that allows you to realize the full potential of your people, processes and technologies. The fastest and most effective way to do this is to create an integrated software lifecycle. From planning, development and testing to deployment and maintenance, integrating all the tools required to accomplish all the tasks related to software delivery will allow information to flow freely from practitioner to practitioner and across the entire team. This makes the extended team more effective and provides much-needed project visibility. Software organizations that meet this missing imperative can experience substantial gains in quality, speed, and traceability.

Different routes, same destination
At the risk of oversimplifying, Lean principles are rooted in operations. Largely adapted from the auto industry, they focus on processes to improve quality, accelerate cycle times, eliminate waste and defects, empower teams, and promote continuous learning.

Agile methods share these goals, but are more concerned with individuals and their interactions. Agile encourages a flexible and decentralized approach to software delivery in which team members respond to changing environments through ongoing feedback and collaboration. DevOps principles go further by placing an even higher value on communication and collaboration between the development ("Dev") and operations ("Ops") teams throughout the project lifecycle. They also stress the importance of integration and automation in any effort to deliver better software faster.

Clearly, there is a great deal of overlap among these three. They share a certain irony as well. In theory, each of them strives to streamline and simplify software delivery by providing a clear set of principles to improve performance. But, in reality, things today are more complicated than ever.

Tools, talent, time and other complexities
To understand how software delivery has grown more complicated, just look at the variety of technological and economic pressures the team is under. The recent past has brought an explosion in the number of technologies, tools and deployment paradigms the team must support. Users are no longer satisfied by ponderous client-server applications, released on an annual cadence. They demand nimble cloud‐based or mobile apps, available everywhere and enhanced regularly.

Cycle times are getting shorter too; the good old days of semi‐annual, quarterly, or even monthly release cycles may soon be a distant memory. For instance, Netflix deploys new software hundreds of times per day, not entire applications of course, but typically new versions of APIs. This model - faster delivery of more modular applications - is clearly where the industry is moving.

Then there are new complexities of a more existential nature. Ask yourself, for example, what is a bank? Is it a building down the street with tellers inside? Is it an app that lets you deposit checks and manage money? Is Apple now a bank? Is Google? Today, just about every industry faces some degree of software‐driven disruption. What is a hotel? What is a taxi? What is a TV?

What is a college? Not long ago, these were easy questions to answer. Today, not so much. Fact is software has unprecedented power to accelerate an organization's success or demise. Are you feeling the pressure?

The missing links to transformation initiatives
To counteract some of these complexities and meet the challenges they present, organizations have adopted one or more transformation initiatives, such as Lean Software, DevOps or Agile methods. But despite investing in training their people, rolling out new tools and adopting new methods, these organizations still find they are not reaping all the rewards promised by these initiatives.

What's missing is a lifecycle view of software development and delivery, the notion that a project's success depends on the entire extended team working in unison. Trouble is, the proliferation of software development tools for each discipline in the lifecycle has actually created an environment where the tools themselves are separating colleagues from one another and preventing an integrated lifecycle view of the project. Each tool does an excellent job of enabling the discipline and methodology it serves. Business analysts and product managers are made more effective with modern requirements elicitation and management tools. Testers have test and defect tracking tools. Agile planning tools help teams manage their work. But the artifacts that each of these disciplines create, and that these tools manage, are meant to be shared, not locked up in the individual tools. Unfortunately, because these tools are not integrated, the artifacts created within them stay within them. What is Lean, Agile or DevOps‐like about that?

Integration is the answer
Software Lifecycle Integration is an emerging discipline for the next generation of software organizations. It integrates the disparate application lifecycle management tools used for project and portfolio management, test and defect management, issue tracking; requirements management, Agile planning, help desk support and others, into a cohesive whole. Artifacts flow from practitioner to practitioner. Lifecycle data is collected to create comprehensive cross-discipline reports.

Finally, the artifacts created by each discipline are automatically liberated from their tool silos. And the people who created them are liberated from using email, bulk exports into spreadsheets and endless meetings to share information. It's precisely what is needed to support transformation initiatives.

  • Leaner Lean. When artifacts flow easily across tools, critical project information is no longer fragmented or locked up in closed silos. Rather, it moves through the system automatically, giving practitioners the data they need when they need it. This helps eliminate the waste and repetitive tasks that drag down the delivery process. Much less time is spent on non‐value-added work, which in turn helps decrease cycle times and project costs.
  • Greater Agility. When collaboration happens within the work, rather than in email or disconnected tools, team members can quickly provide feedback in context, based on real‐time data. Reports and analytics emerge from a holistic view of all artifacts over time, so practitioners across the organization can respond to any situation in the most appropriate way.
  • More Connected DevOps. In an integrated lifecycle, collaboration connections between development and operations become automatic. For example, handoffs between Development, QA and Operations are made efficiently in real time. Trouble tickets flow in real-time into planning and development activities. And traceability and compliance become an automated by‐product of the process, not an additional set of manual processes.

An infrastructure for real transformation

Whether based on Lean, Agile or DevOps principles, any initiative to improve software delivery will involve a combination of people, processes and tools. By integrating your lifecycle, you can address all three dimensions in unison and provide a platform that enables real transformation to happen.

In the coming years, customer demand for better applications, more features, and faster cycle times will only increase. You can't waste time on bottlenecks and impediments. You can't waste money on unnecessary work. You can't have errors falling through the cracks.

Software Lifecycle Integration will allow your teams to collaborate much more effectively than they can today. It will maximize your investments in talent and tools, and vastly improve the analytics of your software delivery capability. It will bring a new level of visibility to the entire process, and automate compliance and traceability. In doing so, it can dramatically improve the quality and productivity of your software organization.

More Stories By Betty Zakheim

Betty Zakheim is VP of Industry Strategy at Tasktop. Her role is at the vertex between Tasktop’s customers, the company’s product team and marketing team. She has an extensive background in software development, software integration technologies and software development tools. As a software development manager, she was an early adaptor of “iterative development,” the precursor to Agile.

As the VP of product management and marketing at InConcert (acquired by TIBCO), she pioneered the use of Business Process Management (then called “workflow) as the semantic framework for enterprise application integration. Previously, Betty served in leadership roles for many other companies including CopperEye, Progress Software, IBM/Rational Software, IONA Technologies and Lightbridge. Betty holds undergraduate degrees in Psychology, Advertising from the S.I. Newhouse College of Public Communications and is a Tau Beta Pi scholar in Computer Engineering. She also received a Master of Computer Science degree from Boston University.

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
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...
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...
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...
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...
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...
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...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
Chris Matthieu is the President & CEO of Computes, inc. He brings 30 years of experience in development and launches of disruptive technologies to create new market opportunities as well as enhance enterprise product portfolios with emerging technologies. His most recent venture was Octoblu, a cross-protocol Internet of Things (IoT) mesh network platform, acquired by Citrix. Prior to co-founding Octoblu, Chris was founder of Nodester, an open-source Node.JS PaaS which was acquired by AppFog and ...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...