In the days of old, not very long ago, release cycles were measured in years —organizations were using “on-time” and “on-budget" as the mantra for project efficacy. Business today is compelled to deliver business technology in cycles of hours, or days. Faster cycles render not only tradition “waterfall” processes and silo based IT obsolete, it also renders traditional metrics ineffective! These arcane metrics no longer deliver the visibility and granularity tech pros need to fine-tune their delivery capability. The mission has transitioned to rapidly deliver high quality, high value solutions. For all, this is a significant shift from the past, when the main points of focus were schedule, cost, and efficiency. Modern software metrics — speed, quality, and value — are based on continuous feedback from business partners and customers.
We are eager to announce a beacon of light to help penetrate the post-holiday fog: Forrester’s DevOps Benchmark Survey for 2017 is officially live! Led by myself and Researcher Elinor Klavens, this benchmark survey serves as the backbone for a large portion of our DevOps research, facilitating the identification and tracking of trends and supporting our research including predictions for the future. Pivotal to many of our reports, this is your opportunity to shape our research, including our upcoming report “Six Trends That Shape DevOps Adoption In 2017 And Beyond.”
The DevOps survey expands on the extensive data contained in Forrester’s Business Technographics survey, drilling into the context, adoption, use, and plans with DevOps. The research team uses the survey’s findings to provide deeper, more informed insights to help guide your DevOps journey. Questions - including how you are dealing with the business mandate of velocity, how DevOps is changing your culture, and where you see DevOps heading - are partnered with practical use of tools and automation.
No matter where you are on your DevOps journey, please take five minutes to complete the survey! All participants can receive an executive summary of the results of the survey after it closes on February 13, 2017.
Additionally, should you want to share your DevOps experiences in more detail or provide more feedback please connect with me at RStroud@Forrester.com or @RobertEStroud
Every business today is under pressure from a startup that is disrupting their traditional market. We have seen this in the taxi industry with Uber[i], ATOM Bank is revolutionizing banking[ii] and Airbnb the hotel industry.[iii] The overused statement that today every business is a software business, is resonating in every industry and we are all under pressure to not only deliver faster, we must do so with quality and add value to our respective businesses.
Delivering faster requires a new model, one which features smaller changes driven through faster high-quality release cycles that leverage end to end automation. To guide the transition, infrastructure and operations (I&O) pros should employ the CALMSS competency model (Culture, Automation, Lean, Measurement and management, Sharing, and Sourcing). All team members who are engaged in the product life cycle – from individual contributors to the executive team – must master these competencies. I&O pros must also use benchmarks to assess their progress and to maintain or adjust their current DevOps competencies accordingly.
Enterprises today are focusing on delivering applications faster to drive customer experiences and drive business transformation to meet rising expectations. For some, faster delivery is simply faster time to disappointment where the delivery process is shoddy and speed is the only metric. Speed without quality in an oxymoron – and extremely dangerous. The automation of the process known as Application Release Automation (ARA) is one of the critical impediments in the DevOps journey for I&O organizations today. ARA tools are designed to remove errors from manual processes by standardizing and automating the movement of applications with middleware and infrastructure – the critical final step in the delivery pipeline of applications to deliver customer value.
Continuous delivery is the goal; ARA tools are the vehicles to get there
The race to digital is heating up in financial services (FS) organizations; increasingly, the engine making this happen is Agile. Why? Quite simply, it is software that makes any financial business truly digital. Organizations are therefore in a rush to become great at rapidly innovating, developing, and delivering new software products to win new clients and retain and serve existing ones.
Oliwia Berdak and I have just published twin reports — one for eBusiness and channel strategy professionals, and one for AD&D leaders — that share our findings on how FS organizations are trying to ramp up their digital innovation capabilities rapidly by leveraging Agile and other innovative models.
Our key finding comes in response to a question: Are you building a digital lab that contains great developers but is isolated from key business leaders and other technology management teams? If the answer is yes, don’t! If separate digital units pursue disruptive opportunities, they will often end up with just front-end apps or proofs of concept that are impossible to integrate and scale with same speed they were developed.
Exposed brick is replacing marble at many banks, insurers, and payment firms. Warehouses are deemed a better location for digital labs, digital centers of excellence, innovation labs, and innovation centers. But why are these spaces proliferating from Silicon Valley to Singapore?
A cynic could say it’s a marketing exercise aimed at making the respectable (if a little slow) financial institutions seem more innovative — and more attractive to both customers and developers. But it’s more than that. Frustration and ambition are pushing business executives out from their traditional locations.
Digital labs promise speed by unshackling product and software development from slow business, technology, and compliance processes. They embrace new approaches, such as design thinking, customer centricity, and Agile development. They can drastically cut the time it takes to develop a proof of concept (POC).
But that’s where the dream ends.While these separate digital units aim to be disruptive, they often deliver just front-end apps or proofs of concept that are impossible to integrate and scale. Why? Because software-driven innovation requires a connection to systems of record, rigorous testing, an understanding of security and compliance threats, an analysis of impact on business units and revenue, and someone with the resources to own, love, and keep developing the product — all the things that made digital innovation so slow in the first place. All that labs achieve is to postpone these reality checks.
Today’s customers, products, business operations, and competitors are fundamentally digital. Succeeding in this new era mandates everyone constantly reinvent their businesses as fundamentally digital. You have two choices,
· become a digital predator; or
· become digital prey.
To compete in this new digital market norm, software applications and products must contain new sources of customer value while at the same time adopting new operational agility. I&O pros need to change from the previous methods of releasing large software products and services at sporadic intervals to continuous deployment. All must adopt key automation technologies to make continuous deployment a reality.
Consumers (and B2B customers) are more and more empowered with mobile devices and cloud-based, all but unlimited access to information about products, services, and prices. Customer stickiness is increasingly difficult to achieve as they demand instant gratification for their ever changing tastes and requirements. Switching product and service providers is now just a matter of clicking a few keys on a mobile phone. Forrester calls this the age of the customer, which elevates business and technology priorities to achieve:
Business agility.Business agility often equals the ability to adopt, react, and succeed in the midst of an unending fountain of customer driven requirements. Agile organizations make decisions differently by embracing a new, more grass-roots-based management approach. Employees down in the trenches, in individual business units, are the ones who are in close touch with customer problems, market shifts, and process inefficiencies. These workers are often in the best position to understand challenges and opportunities and to make decisions to improve the business. It is only when responses to change come from these highly aware and empowered employees, that enterprises become agile, competitive, and successful.
The age of the customer demands more of companies, forcing them to change how they develop, market, sell, and deliver products and services. In response, CIOs must invest in business technology (BT) — the technology, systems, and processes to win, serve, and retain customers. At Forrester’s Forum For Technology Leaders in Lisbon (June 2-3), leaders from firms like BMJ, Portugal Telecom, BBVA, Mastercard, Alliander, DER Touristik and UniCredit will share strategies that you can use to achieve Read more
Formula One has gotten us all used to amazing speed. In as little as three seconds, F1 pit teams replace all four wheels on a car and even load in dozens of liters of fuel. Pit stops are no longer an impediment to success in F1 — but they can be differentiating to the point where teams that are good at it win and those that aren’t lose.
It turns out that pit stops not only affect speed; they also maintain and improve quality. In fact, prestigious teams like Ferrari, Mercedes-Benz, and Red Bull use pit stops to (usually!) prevent bad things from happening to their cars. In other words, pit stops are now a strategic component of any F1 racing strategy; they enhance speed with quality. But F1 teams also continuously test the condition of their cars and external conditions that might influence the race.
My question: Why can’t we do the same with software delivery? Can fast testing pit stops help? Today, in the age of the customer, delivery teams face a challenge like none before: a business need for unprecedented speed with quality — quality@speed. Release cycle times are plummeting from years to months, weeks, or even seconds — as companies like Amazon, Netflix, and Google prove.