Welcome!

@DevOpsSummit Authors: Liz McMillan, Craig Lowell, Carmen Gonzalez, Pat Romanski, Elizabeth White

Related Topics: @DevOpsSummit, Java IoT, Linux Containers, Containers Expo Blog, @CloudExpo, SDN Journal

@DevOpsSummit: Blog Feed Post

If Apps Incur Technical Debt Then Networks Incur Architectural Debt

The concept of "debt' is not a foreign one; we've all incurred debt in the form of credit cards, car loans and mortgages

72%. That's an estimate of how much of the IT budget is allocated to simply keeping the lights on (a euphemism for everything from actually keeping the lights on to cooling, heating, power, maintenance, upgrades, and day to day operations) in the data center.

In a recent Forrester Research survey of IT leaders at more than 3,700 companies, respondents estimated that they spend an average 72% of the money in their budgets on such keep-the-lights-on functions as replacing or expanding capacity and supporting ongoing operations and maintenance, while only 28% of the money goes toward new projects.

How to Balance Maintenance and IT Innovation

servicing architectural debtThis number will not, unfortunately, significantly improve without intentionally attacking it at its root cause: architectural debt.

Data Center Debt

The concept of "debt' is not a foreign one; we've all incurred debt in the form of credit cards, car loans and mortgages. In the data center, this concept is applied in much the same way as our more personal debt - as the need to "service" the debt over time.

Experts on the topic of technical debt point out that this "debt' is chiefly a metaphor for the long-term repercussions arising from choices made in application architecture and design early on.

Technical debt is a neologistic metaphor referring to the eventual consequences of poor software architecture and software development within a codebase. The debt can be thought of as work that needs to be done before a particular job can be considered complete. If the debt is not repaid, then it will keep on accumulating interest, making it hard to implement changes later on. Unaddressed technical debt increases software entropy.

Wikipedia

This conceptual debt also occurs in other areas of IT, particularly those in the infrastructure and networking groups, where architectural decisions have long lasting repercussions in the form of not only the cost to perform day-to-day operations but in the impact to future choices and operational concerns. The choice of a specific point product today to solve a particular pain point, for example, has an impact on future product choices. The more we move toward software-defined architectures - heavily reliant on integration to achieve efficiencies through automation and orchestration - the more interdependencies we build. Those interdependencies cause considerable complexity in the face of changes that must be made to support such a loosely coupled but highly integrated data center architecture.

We aren't just maintaining configuration files and cables anymore, we're maintaining the equivalent of code - the scripts and methods used to integrated, automate and orchestrate the network infrastructure.

Steve McConnell has a lengthy blog entry examining technical debt. The perils of not acknowledging your debt are clear:

One of the important implications of technical debt is that it must be serviced, i.e., once you incur a debt there will be interest charges. If the debt grows large enough, eventually the company will spend more on servicing its debt than it invests in increasing the value of its other assets.

Debt must be serviced, which is why the average organization dedicates so much of its budget to simply "keeping the lights on."  It's servicing the architectural debt incurred by a generation of architectural decisions.

Refinancing Your Architectural Debt

In order to shift more of the budget toward the innovation necessary to realize the more agile and dynamic architectures required to support more things and the applications that go with them, organizations need to start considering how to shed its architectural debt.

First and foremost, software-defined architectures like cloud, SDDC and SDN, enable organizations to pay down their debt by automating a variety of day-to-day operations as well as traditionally manual and lengthy provisioning processes. But it would behoove organizations to pay careful attention to the choices made in this process, lest architectural debt shift to the technical debt associated with programmatic assets. Scripts are, after all, a simple form of an application, and thus bring with it all the benefits and burdens of an application.

For example, the choice between a feature-driven and an application-driven orchestration can be critical to the long-term costs associated with that choice. Feature-driven orchestration necessarily requires more steps and results in more tightly coupled systems than an application-driven approach. Loose coupling ensures easier future transitions and reduces the impact of interdependencies on the complexity of the overall architecture. This is because feature-driven orchestration (integration, really) is highly dependent on specific sets of API calls to achieve provisioning. Even minor changes in those APIs can be problematic in the future and cause compatibility issues. Application-driven orchestration, on the other hand, presents a simpler, flexible interface between provisioning systems and solution. Implementation through features can change from version to version without impacting that interface, because the interface is decoupled from the actual API calls required.

Your choice of scripting languages, too, can have much more of an impact than you might think. Consider that a significant contributor to operational inefficiencies today stems from the reality that organizations have an L4-7 infrastructure comprised of not just multiple vendors, but a wide variety of domain specificity. That means a very disparate set of object models and interfaces through which such services are provisioned and configured. When automating such processes, it is important to standardize on a minimum set of environments. Using bash, python, PERL and juju, for example, simply adds complexity and begins to fall under the Law of Software Entropy as described by Ivar Jacobson et al. in "Object-Oriented Software Engineering: A Use Case Driven Approach":

The second law of thermodynamics, in principle, states that a closed system's disorder cannot be reduced, it can only remain unchanged or increased. A measure of this disorder is entropy. This law also seems plausible for software systems; as a system is modified, its disorder, or entropy, always increases. This is known as software entropy.

Entropy is the antithesis of what we're trying to achieve with automation and orchestration, namely the acceleration of application deployment. Entropy impedes this goal, and causes the introduction of yet another set of systems requiring day-to-day operational attention.

Other considerations include deciding which virtual overlay network will be your data center standard, as well as the choice of cloud management platform for data center orchestration. While such decisions seem, on the surface, to be innocuous, they are in fact significant contributors to the architectural debt associated with the data center architecture.

Shifting to Innovation

Every decision brings with it debt; that cannot be avoided. The trick is to reduce the interest payments, if you will, on that debt as a means to reduce its impact on the overall IT budget and enable a shift to funding innovation.

Software-defined architectures are, in a way, the opportunity for organizations to re-finance their architectural debt. They cannot forgive the debt (unless you rip and replace) but these architectures and methodologies like devops can assist in reducing the operational expenses the organization is obliged to pay on a day-to-day basis.

But it's necessary to recognize, up front, that the architectural choices you make today do, in fact, have a significant impact on the business' ability to take advantage of the emerging app economy. Consider carefully the options and weigh the costs - including the need to service the debt incurred by those options - before committing to a given solution.

Your data center credit score will thank you for it.

Read the original blog entry...

More Stories By Lori MacVittie

Lori MacVittie is responsible for education and evangelism of application services available across F5’s entire product suite. Her role includes authorship of technical materials and participation in a number of community-based forums and industry standards organizations, among other efforts. MacVittie has extensive programming experience as an application architect, as well as network and systems development and administration expertise. Prior to joining F5, MacVittie was an award-winning Senior Technology Editor at Network Computing Magazine, where she conducted product research and evaluation focused on integration with application and network architectures, and authored articles on a variety of topics aimed at IT professionals. Her most recent area of focus included SOA-related products and architectures. She holds a B.S. in Information and Computing Science from the University of Wisconsin at Green Bay, and an M.S. in Computer Science from Nova Southeastern University.

@DevOpsSummit Stories
"We are a modern development application platform and we have a suite of products that allow you to application release automation, we do version control, and we do application life cycle management," explained Flint Brenton, CEO of CollabNet, in this SYS-CON.tv interview at DevOps at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
The 20th International Cloud Expo has announced that its Call for Papers is open. Cloud Expo, to be held June 6-8, 2017, at the Javits Center in New York City, brings together Cloud Computing, Big Data, Internet of Things, DevOps, Containers, Microservices and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding business opportunity. Submit your speaking proposal today!
You have great SaaS business app ideas. You want to turn your idea quickly into a functional and engaging proof of concept. You need to be able to modify it to meet customers' needs, and you need to deliver a complete and secure SaaS application. How could you achieve all the above and yet avoid unforeseen IT requirements that add unnecessary cost and complexity? You also want your app to be responsive in any device at any time. In his session at 19th Cloud Expo, Mark Allen, General Manager of the Progress Corticon and Rollbase businesses, discussed and provided a deep understanding of the low-code application platforms that address these concerns.
Keeping pace with advancements in software delivery processes and tooling is taxing even for the most proficient organizations. Point tools, platforms, open source and the increasing adoption of private and public cloud services requires strong engineering rigor – all in the face of developer demands to use the tools of choice. As Agile has settled in as a mainstream practice, now DevOps has emerged as the next wave to improve software delivery speed and output. To make DevOps work, organizations must focus on what is most relevant to deliver value, reduce IT complexity, create more repeatable agile-based processes and leverage increasingly secure and stable, cloud-based infrastructure platforms.
Bert Loomis was a visionary. This general session will highlight how Bert Loomis and people like him inspire us to build great things with small inventions. In their general session at 19th Cloud Expo, Harold Hannon, Architect at IBM Bluemix, and Michael O'Neill, Strategic Business Development at Nvidia, discussed the accelerating pace of AI development and how IBM Cloud and NVIDIA are partnering to bring AI capabilities to "every day," on-demand. They also reviewed two "free infrastructure" programs available to startups and innovators.
"Dice has been around for the last 20 years. We have been helping tech professionals find new jobs and career opportunities," explained Manish Dixit, VP of Product and Engineering at Dice, in this SYS-CON.tv interview at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Rapid innovation, changing business landscapes, and new IT demands force businesses to make changes quickly. In the eyes of many, containers are at the brink of becoming a pervasive technology in enterprise IT to accelerate application delivery. In this presentation, attendees learned about the: The transformation of IT to a DevOps, microservices, and container-based architecture What are containers and how DevOps practices can operate in a container-based environment A demonstration of how Docker and Kubernetes reduce software delivery cycle times, drive automation, and increase efficiency How other organizations are using DevOps + containers and how to replicate their success
"Venafi has a platform that allows you to manage, centralize and automate the complete life cycle of keys and certificates within the organization," explained Gina Osmond, Sr. Field Marketing Manager at Venafi, in this SYS-CON.tv interview at DevOps at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. 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 Ethereum.
More and more companies are looking to microservices as an architectural pattern for breaking apart applications into more manageable pieces so that agile teams can deliver new features quicker and more effectively. What this pattern has done more than anything to date is spark organizational transformations, setting the foundation for future application development. In practice, however, there are a number of considerations to make that go beyond simply “build, ship, and run,” which changes how developers and operators work together to streamline cohesive systems.
Without lifecycle traceability and visibility across the tool chain, stakeholders from Planning-to-Ops have limited insight and answers to who, what, when, why and how across the DevOps lifecycle. This impacts the ability to deliver high quality software at the needed velocity to drive positive business outcomes. In his general session at @DevOpsSummit at 19th Cloud Expo, Phil Hombledal, Solution Architect at CollabNet, discussed how customers are able to achieve a level of transparency that enables everyone from Planning-to-Ops to make informed decisions based on business priority and leverage automation to accelerate identifying issues and fast fix to drive continuous feedback and KPI insight.
@DevOpsSummit taking place June 6-8, 2017 at Javits Center, New York City, is co-located with the 20th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. @DevOpsSummit at Cloud Expo New York Call for Papers is now open.
In his session at 19th Cloud Expo, Claude Remillard, Principal Program Manager in Developer Division at Microsoft, contrasted how his team used config as code and immutable patterns for continuous delivery of microservices and apps to the cloud. He showed how the immutable patterns helps developers do away with most of the complexity of config as code-enabling scenarios such as rollback, zero downtime upgrades with far greater simplicity. He also demoed building immutable pipelines in the cloud using both containers and VMs.
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 business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like “How is my application doing” but no idea how to get a proper answer.
In IT, we sometimes coin terms for things before we know exactly what they are and how they’ll be used. The resulting terms may capture a common set of aspirations and goals – as “cloud” did broadly for on-demand, self-service, and flexible computing. But such a term can also lump together diverse and even competing practices, technologies, and priorities to the point where important distinctions are glossed over and lost.
Predictive analytics tools monitor, report, and troubleshoot in order to make proactive decisions about the health, performance, and utilization of storage. Most enterprises combine cloud and on-premise storage, resulting in blended environments of physical, virtual, cloud, and other platforms, which justifies more sophisticated storage analytics. In his session at 18th Cloud Expo, Peter McCallum, Vice President of Datacenter Solutions at FalconStor, discussed using predictive analytics to monitor and adjust functions like performance, capacity, caching, security, optimization, uptime and service levels; identify trends or patterns to forecast future requirements; detect problems before they result in failures or downtime; and convert insight into actions like changing policies, storage tiers, or DR strategies.
All clouds are not equal. To succeed in a DevOps context, organizations should plan to develop/deploy apps across a choice of on-premise and public clouds simultaneously depending on the business needs. This is where the concept of the Lean Cloud comes in - resting on the idea that you often need to relocate your app modules over their life cycles for both innovation and operational efficiency in the cloud. In his session at @DevOpsSummit at19th Cloud Expo, Valentin (Val) Bercovici, CTO of SolidFire, discussed how to leverage this concept to seize on the creativity and business agility to make it real.
Information technology is an industry that has always experienced change, and the dramatic change sweeping across the industry today could not be truthfully described as the first time we've seen such widespread change impacting customer investments. However, the rate of the change, and the potential outcomes from today's digital transformation has the distinct potential to separate the industry into two camps: Organizations that see the change coming, embrace it, and successful leverage it; and on the other side, organizations that will find themselves as roadkill on the technology highway.
20th Cloud Expo, taking place June 6-8, 2017, at the Javits Center in New York City, NY, will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy.
"We are an all-flash array storage provider but our focus has been on VM-aware storage specifically for virtualized applications," stated Dhiraj Sehgal of Tintri in this SYS-CON.tv interview at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Application transformation and DevOps practices are two sides of the same coin. Enterprises that want to capture value faster, need to deliver value faster – time value of money principle. To do that enterprises need to build cloud-native apps as microservices by empowering teams to build, ship, and run in production. In his session at @DevOpsSummit at 19th Cloud Expo, Neil Gehani, senior product manager at HPE, discussed what every business should plan for how to structure their teams to deliver.
Much of the value of DevOps comes from a (renewed) focus on measurement, sharing, and continuous feedback loops. In increasingly complex DevOps workflows and environments, and especially in larger, regulated, or more crystallized organizations, these core concepts become even more critical. In his session at @DevOpsSummit at 18th Cloud Expo, Andi Mann, Chief Technology Advocate at Splunk, showed how, by focusing on 'metrics that matter,' you can provide objective, transparent, and meaningful feedback on DevOps processes to all stakeholders. Learn from real-life examples how to use the data generated throughout application delivery to continuously identify, measure, and improve deployment speed, code quality, process efficiency, outsourcing value, security coverage, audit success, customer satisfaction, and business alignment.
In an era of historic innovation fueled by unprecedented access to data and technology, the low cost and risk of entering new markets has leveled the playing field for business. Today, any ambitious innovator can easily introduce a new application or product that can reinvent business models and transform the client experience. In their Day 2 Keynote at 19th Cloud Expo, Mercer Rowe, IBM Vice President of Strategic Alliances, and Raejeanne Skillern, Intel Vice President of Data Center Group and GM, discussed how clients in this new era of innovation can apply data, technology, plus human ingenuity to springboard to advance new business value and opportunities.
The pace of innovation, vendor lock-in, production sustainability, cost-effectiveness, and managing risk… In his session at 18th Cloud Expo, Dan Choquette, Founder of RackN, discussed how CIOs are challenged finding the balance of finding the right tools, technology and operational model that serves the business the best. He also discussed how clouds, open source software and infrastructure solutions have benefits but also drawbacks and how workload and operational portability between vendors and platforms give control back to the users and drives innovation.
@DevOpsSummit at Cloud taking place June 6-8, 2017, at Javits Center, New York City, is co-located with the 20th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that produce software that is obsolete at launch. DevOps may be disruptive, but it is essential.