Simplicity

Often as architects we have the tendency to over complicate solutions as the first solution often either sounds far too simple or it looks wrong. A typical example is the Clustering, the tendency to erroneously consider the inevitable “streaks” or “clusters” arising in small samples from random distributions to be non-random. Using this illusion you … Continue reading Simplicity

EA Programs

An effective EA Program session is the best way to ensure that a project gets started correctly. Cutter’s EA Program sessions help establish a project’s team values, vision, mission, objectives, project community, measures of success, scope and boundar…

Reinventing IT

Watch the recording 18 Nov webinar with Milan Guenther In this first webinar of a series on Enterprise Design practice, Milan will show how to reposition architecture, analysis and design work to reclaim the driver’s seat in digital transformation. The webinar will cover these themes: Working with the QualiWare modelling environment, we will cover What the new … Read more

Reinventing IT

Sign up for 18 Nov webinar with Milan Guenther In this first webinar of a series on Enterprise Design practice, Milan will show how to reposition architecture, analysis and design work to reclaim the driver’s seat in digital transformation. The webinar will cover these themes: Working with the QualiWare modelling environment, we will cover What the new … Read more…

The post Reinventing IT appeared first on QualiWare Center of Excellence.

Boost Digital Business With The Internet Of Things

The rise of mobile networks, improved wireless tech, and rapid sensor innovation over the past 10 years has enabled companies to use internet-connected sensors and actuators to improve business operations and transform products. The ever-increasing num…

Forrester Predictions: Ten Key Developments In Cloud Computing Shape The Industry In 2017

I’m pleased to announce that Forrester’s cloud computing predictions for 2017 published this morning!

Check out Predictions 2017: Customer-Obsessed Enterprises Launch Cloud’s Second Decade. Our cloud team has gathered ten key developments in cloud computing that will shape this industry in 2017 — and what you should do about them today.

Cloud computing has been the most exciting and disruptive force in the tech market in the last decade, and it will continue to disrupt traditional computing models at least through 2020. Starting in 2017, large enterprises will move to cloud in a big way, and that will super-charge the market. We predict the influx of enterprise dollars will push the global public cloud market to $236B in 2020, up from $146B in 2017.

Cloud platforms from the global megacloud providers like Amazon Web Services, Microsoft, IBM, Google, Salesforce, Oracle, Centurylink and SAP will set the pace, accelerating adoption of private cloud and hosted private cloud as well. In 2017, you need to:

  • Get your private cloud and SaaS strategy in shape in 2017 — start now!
  • Educate yourself about exciting developments in hyperconverged infrastructure, security, networking, and containers.
  • Take a fresh look at your regional and industry-specific cloud providers — specialization is afoot.

In the full report, we break down the 10 things you need to know about cloud computing in 2017, and actions to take for each. This essential reading highlights these 10 trends:

Read more

Legacy Modernization for Digital Transformation

For years legacy modernization has been the Cinderella of IT. Everyone knows legacy systems are a massive drag on the business, but there has rarely been a compelling business case to justify the perceived cost and risk involved in modernization. But things are changing! In a recent report [1] McKinsey said, “Outdated IT systems are often the biggest Achilles’ heel for established companies seeking to compete successfully against upstarts. To obtain the same cost and performance benefits that online companies enjoy, established companies need an IT architecture that is modular, simple, customer-centric, and configurable—and they need it quickly.”

In a recent Gartner survey [2], 45 percent of respondents with knowledge of their organization’s software strategy indicated that one of the current top five IT project priorities is “application modernization of installed on-premises core enterprise applications” and a further 41 percent indicated that “extending capabilities of core enterprise applications” is a top five priority,

Gartner predicts [2] that by 2020, 75 percent of application purchases supporting digital business will be “build,” not “buy.” Gartner’s research shows that many organizations already favour a new kind of “build” that does not include out-of-the-box solutions, but instead is a combination of application components that are differentiated, innovative and not standard software or software with professional services (for customization and integration requirements), or solutions that are increasingly sourced from start-ups, disrupters or specialized local providers.

Forrester have said recently [3] that application development is the key strategy for firms transforming to digital. As I said last year [4] “most . . . innovating companies are . . . demonstrating the extraordinary innovation, productivity and quality that can be achieved by a convergence of business and IT skills and expertise . . . changing from command and control to delegated responsibility development models. Yet Forrester also advise that there are insufficient developers to meet demand, and that innovation in development tools has not met market demand.  

Further Agile methods are not the panacea they are cracked up to be. In 2014 I observed [5], “The most common concern our customers voiced . . was the unexpected outcomes of Agile projects. They don’t talk about failure as such. But they do talk about loss of consistency; inability to govern; lack of coordination and the increasing time to market.”  While there has been a rush by consultants to promote and enterprises to adopt scaled agile frameworks, I continue to observe projects struggling to disprove Newton’s third law, as they attempt to manage hugely complex efforts with yesterday’s life cycle tooling and technology.

And it’s here that we need to get over the Cinderella syndrome and embrace the idea that modernization is not business as usual. Modernization applies to everything you do – including how you build systems. As Jason Bloomberg said [6] last year, “For specific legacy capabilities to properly support the digital transformation, we need a better approach for abstracting legacy assets to drive agility, an architectural approach freed from middleware and laser focused on the business agility drivers from the digital transformation initiative.” In order to modernize you don’t just need more developers or partners as Forrester suggest; you need to reinvent the business process and solutions delivery activity.
The diagram below illustrates a dynamic systems model for factory based Agile Modernization.

Essentially modernization needs to become business as usual; every program, project and increment must be progressively modernizing the legacy backend as necessary, in an inherently Agile modernization process. Product and Modernization backlogs must have equal priority. The delivery tooling and process needs to be common to forward engineering and modernization, and Oh by the way, needs to be massively productive and high quality. A good way to do this is to use an Agile factory approach that a) restructures and rationalizes applications into services, b) separates everything that is common or reusable, or should be standardized into the development platform, c) manages development artifacts dependency and d) allows and leaves the technology binding as late as possible. For discussion of how this Agile modernization works see recent blog [7] – Scaled Agile Factory.

[1] Two ways to modernize IT systems for the digital era, McKinsey
[2] Gartner Says Modernization and Digital Transformation Projects Are Behind Growth in Enterprise Application Software Market
[3] Digital Transformation and the Modernization Imperative, Forrester
[4] Modernizing the modernization strategy, David Sprott’s Blog
[5] Understanding Agile Adoption Failure, David Sprott’s Blog
[6] Two Digital Transformation Time Bombs, Jason Bloomberg, Wired
[7] Scaled Agile Factory, David Sprott’s Blog

System Spraint

Spraint is a quaint English word for otter droppings. Analysis of otter populations and their dietary habits can be performed by analysis of their spraint.I see the same kind of analysis being required in systems that send their “spraint” – often in th…

System Spraint

Spraint is a quaint English word for otter droppings. Analysis of otter populations and their dietary habits can be performed by analysis of their spraint.I see the same kind of analysis being required in systems that send their “spraint” – often in th…