The Top 5 2016 Trends That Are Changing Software Development By Omed Habib
Software development is a moving target. You have to keep your eye on trends in the tech space that haven’t even happened yet just to stay current. Consider what’s happened with augmented reality (AR) in this year alone. If you said you were working on an AR app in 2015, you might have gotten a lot of blank stares or jokes about Google Glass. Then Pokémon GO happened. Like AR, the trends listed below have been building steam for some time, but they’ll be taking off in surprising new directions before the end of 2016. Here’s an overview of what’s coming next and what software developers can do to prepare for it.
1. Linking Application Performance and Business Performance Application performance management (APM) has grown incredibly sophisticated over the past decade. By 2010, Gartner had defined five dimensions of end-to-end performance for best-in-class software:
Monitoring how the end user experiences the application and surfacing discontents
Defining the scope of problems in execution, runtime architecture, and communications
Mapping out user-defined transactions across components (a.k.a. business transaction management)
Tools for going deeper into the components identified as sources of the problems
Behavioral learning analytics for patterns of breakdowns and issue forecasting
Management has been so impressed with the results of reducing Mean Time to Resolution (MTTR), they want to apply these lessons to reduce the overall Mean Time to Business Awareness (MTBA). Today, highly advanced tools like AppDynamics are doing more than organizing the priorities of development teams. Real-time insights into the customer experience can auto-correlate the relationship between specific performance data and business goals.
At AppSphere 2016, David Wadhwani, President and CEO at AppDynamics, explained it best:
“I can’t say this enough: there are very few times in a person’s career where you’re sitting on a precipice of a change like this. Take advantage of it. Accelerate your careers, redefine your goals. Don’t think of yourselves as IT professionals, think of yourselves as business owners who happen to run the technology as well.”
Ultimately, the application of APM expectations into MTBA measurements is aiding CIOs in understanding how technical choices and priorities impact a business. More than ever, that’s what the CIO is expected to explain to senior managers. At the intersection of technology and finance, the role of the CIO has become the locus for all the most critical data analytics.
2. Application Teams as Human Microservices The microservices model applies to more than just software. Software tends to match the organizational structure of the design team, just as the switch from waterfall to agile required a restructuring of development teams.
Teams of application developers have always shared out projects like sub-routines or specific software integrations. What’s different in 2016 is that software engineering teams are acting more like independent business units. The microservices model has happened in companies like Google and Amazon, where individual and autonomous “application teams” are organized around specific business objectives. At Google, these application teams include a crucial new role: Site Reliability Engineers (SRE) who combine development and operations skills. As Google’s Ben Treynor defined it, “The SRE is fundamentally doing work that has historically been done by an operations team, but using engineers with software expertise, and banking on the fact that these engineers are inherently both predisposed to, and have the ability to, substitute automation for human labor.”
Figure 1: Decoupled applications with autonomous application teams centered around individual business capabilities
In the year ahead, expect this to spread to more organizations inside and outside of the software industry. You will see more work teams that include their own developers, deployment models, performance engineers, business analysts and product management teams. Like miniature companies within a company, they will operate as autonomous groups responsible for innovation, execution, deployment, application performance monitoring, and business performance monitoring.
In early experiments with this sort of microservices team structure, here are some of the challenges that commonly arise:
Displaced business priorities: When the microservice goal becomes the team’s primary responsibility, they may pull off course from the overall company strategy, strengthening the argument that more insight into business performance is necessary.
Microservices that don’t communicate: APIs connecting the functions of microservices can fall between the cracks as teams argue over who is responsible for making sure that they work together. Attaching and detaching microservices from the main functionality of the application is never as easy in practice as it is in theory.
Struggles with team cohesion: Many developers have developed their skills in isolation and may have difficulty aligning their work habits with a tighter team structure.
In the end, it can only work in the presence of leaders who reinforce communication, collaboration, and success measurements among application teams.
3. Microservices, Containers, and DevOps One of the most massive shifts in the world of software development hit at the same time as the dot-com bubble. It was the shift from monolithic apps residing on bare metal to distributed applications populating virtual machines. This was partially due to the improved reliability of networked infrastructures. However, it was also a reaction to waterfall development methodologies built on the aging manufacturing model of ideation to coding to testing to production, and then shifting into maintenance mode. This was the period that introduced agile methodologies that made much more sense in the bootstrapping world of software startups.
The point is that we are now headed into another shift that will be at least that pervasive. It has grown out of agile concepts like interactions over processes, minimal viable products and responses over planning. The emerging app-driven world will be defined by the rules of DevOps, where feature development and application performance monitoring have to happen simultaneously. Enterprise software is now a whirling mass of microservices, APIs, and containers in constant communication with each other through the hybrid cloud.
Agile was a powerful framework for development teams, but agile couldn’t keep up with the demands of near perfect uptime and spiraling customer experience expectations. At the same time, it’s clear that developers and testers can have critical inputs into solving operational issues. Everyone suffers when there is internal friction between functionality and security.
When you combine this trend with the AP to BP bridge, the image emerges of a new and comprehensive BizDevOps. It will fold business strategy and analysis into the DevOps formula.
4. Scale as a Service Popularity can be a problem, as too many startups have discovered. Brooks’ Law, established four decades ago but still disputed, states unequivocally that, “Adding manpower to a late software project makes it later.” Updating Brooks’ Law for the age of enterprise application development means adding warnings like “Rails doesn’t scale,” and “Green dashboards make users see red.”
Going into 2017, watch the boom in vendors supporting services like Elasticsearch to help applications scale without blowing up. To help them get ready to scale, the majority of companies running software are using a mixture of six clouds, both public and private. Three are used for running their applications and another three are used for innovating their next level of services and features.
There are many sides to scaling issues, like bigger nodes vs. more nodes, so scaling up has to be done as a company-wide collaboration. Channel vendors are better positioned to see the bigger picture of inter-related adjustments to security, stability, performance, and cost.
In a turbulent market, which won’t be calming down in the foreseeable future, the ability to scale rapidly is the most essential survival skill.
5. Remote Work and Crowdsourcing In the past, remote work was merely a geographical extension of work. Managers oversaw projects and directed teams of developers. Instead of the team being in another wing of the building, the team moved to another time zone. The biggest structural change in the relationship was the communication channel from in-person to collaboration tech. In many cases, the application performance monitoring (APM) and Business iQ platform served as the collaboration engine, with voice/video/chat software like Skype or Slack on top.
What’s happening in 2016 is that the concept of crowdsourcing is further abstracting the work from the worker to take advantage of the model’s essential efficiencies. The manager still sets expectations and manages routines, but now the coder’s primary transaction is with automation. They submit code and move on to the next assignment. Managers many not even know the people (or bots) who submitted the code.
A good example is Elastic.co, the 100 percent remote-driven group that created Elasticsearch. The open-source ELK stack (Elasticsearch, Logstash, and Kibana) has built up enough contributors to challenge Splunk for the log analysis market. Flexjobs lists 125 virtual companies running on globally distributed teams so far this year, up from 76 a year ago, and only 26 in 2014.
Moving Ahead of the Trends There are several ways AppDynamics can help businesses take advantage of areas where the latest trends are converging and take on a leadership position. Microservices iQ is good way to efficiently track microservices deployed in elastic infrastructures, such as containers or clouds where nodes scale up and down rapidly. Use Business iQ to transform your application performance monitoring into business results. Advance your digital transformation, discover real-time business awareness, and improve customer experiences with deep application analytics.
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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.
@DevOpsSummitwill expand the DevOps community, enable a wide sharing of knowledge, and educate delegates and technology providers alike. Recent research has shown that DevOps dramatically reduces development time, the amount of enterprise IT professionals put out fires, and support time generally. Time spent on infrastructure development is significantly increased, and DevOps practitioners report more software releases and higher quality. Sponsors of @DevOpsSummitwill benefit from unmatched branding, profile building and lead generation opportunities through:
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All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.
With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo | @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.
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Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.
Financial enterprises in New York City, London, Singapore, and other world financial capitals are embracing a new generation of smart, automated FinTech that eliminates many cumbersome, slow, and expensive intermediate processes from their businesses.
FinTech brings efficiency as well as the ability to deliver new services and a much improved customer experience throughout the global financial services industry. FinTech is a natural fit with cloud computing, as new services are quickly developed, deployed, and scaled on public, private, and hybrid clouds.
More than US$20 billion in venture capital is being invested in FinTech this year. @CloudExpo is pleased to bring you the latest FinTech developments as an integral part of our program, starting at the 20th International Cloud Expo June 6-8, 2017 in New York City and October 31 - November 2, 2017 in Silicon Valley.
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About Jyoti Bansal In high-production environments where release cycles are measured in hours or minutes — not days or weeks — there's little room for mistakes and no room for confusion. Everyone has to understand what's happening, in real time, and have the means to do whatever is necessary to keep applications up and running optimally.
DevOps is a high-stakes world, but done well, it delivers the agility and performance to significantly impact business competitiveness.
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For financial firms, the cloud is going to increasingly become a crucial part of dealing with customers over the next five years and beyond, particularly with the growing use and acceptance of virtual currencies. There are new data storage paradigms on the horizon that will deliver secure solutions for storing and moving sensitive financial data around the world without touching terrestrial networks.
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Existing Big Data solutions are mainly focused on the discovery and analysis of data. The solutions are scalable and highly available but tedious when swapping in and swapping out occurs in disarray and thrashing takes place. The resolution for thrashing through machine learning algorithms and support nomenclature is through simple techniques. Organizations that have been collecting large customer data are increasingly seeing the need to use the data for swapping in and out and thrashing occurs ...
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In his session at @ThingsExpo...
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Join IBM November 1 at 21st Cloud Expo at the Santa Clara Convention Center in Santa Clara, CA, and learn how IBM Watson can bring cognitive services and AI to intelligent, unmanned systems.
Cognitive analysis impacts today’s systems with unparalleled ability that were previously available only to manned, back-end operations. Thanks to cloud processing, IBM Watson can bring cognitive services and AI to intelligent, unmanned systems. Imagine a robot vacuum that becomes your personal assistant that knows everything and can respond to your emotions and verbal commands!
The nature of the technology business is forward-thinking. It focuses on the future and what’s coming next. Innovations and creativity in our world of software development strive to improve the status quo and increase customer satisfaction through speed and increased connectivity.
Yet, while it's exciting to see enterprises embrace new ways of thinking and advance their processes with cutting edge technology, it rarely happens rapidly or even simultaneously across all industries.
DevSecOps – a trend around transformation in process, people and technology – is about breaking down silos and waste along the software development lifecycle and using agile methodologies, automation and insights to help get apps to market faster. This leads to higher quality apps, greater trust in organizations, less organizational friction, and ultimately a five-star customer experience.
These apps are the new competitive currency in this digital economy and they’re powered by data. Without data or data-based interactions, these apps would be of little value to the user and would be just s...
With the modern notion of digital transformation, enterprises are chipping away at the fundamental organizational and operational structures that have been with us since the nineteenth century or earlier.
One remarkable casualty: the business process. Business processes have become so ingrained in how we envision large organizations operating and the roles people play within them that relegating them to the scrap heap is almost unimaginable, and unquestionably transformative.
In the Digital Era, however, everything you thought you knew about business processes, and thus how human effort dr...
Blockchain. A day doesn’t seem to go by without seeing articles and discussions about the technology. According to PwC executive Seamus Cushley, approximately $1.4B has been invested in blockchain just last year. In Gartner’s recent hype cycle for emerging technologies, blockchain is approaching the peak. It is considered by Gartner as one of the ‘Key platform-enabling technologies to track.’ While there is a lot of ‘hype vs reality’ discussions going on, there is no arguing that blockchain is being taken very seriously across industries and cannot be ignored.
Our cities have been connected since the dawn of urbanization in the Indus Valley and on the plains of Mesopotamia nearly ten millennia ago. Cities exist to gather and connect people, bringing us together into communities and joint ventures that need complex networks of communication. But in recent years the connected city has come to mean something more. Today and in the future, the connected city will not just be about people connecting with people, but people with machines, people with people via machines, and perhaps most importantly, machines with machines.
These days, APIs have become an integral part of the digital transformation journey for all enterprises. Every digital innovation story is connected to APIs . But have you ever pondered over to know what are the source of these APIs? Let me explain - APIs sources can be varied, internal or external, solving different purposes, but mostly categorized into the following two categories. Data lakes is a term used to represent disconnected but relevant data that are used by various business units within an enterprise. APIs are created as the easy access points for these siloed data lakes.
Every time there’s a notable cybersecurity breach, someone (even me) writes a comprehensive primer on the proper way to create “secure” passwords. Lather, rinse, repeat. Until a few years ago, everyone (including me) based their password advice on a 2003 paper from the National Institute of Standards and Technology (NIST), with the catchy title “NIST Special Publication 800-63.” The paper recommended that passwords be cryptic, contain special characters, and be as close to nonsense as possible.
Today most companies are adopting or evaluating container technology - Docker in particular - to speed up application deployment, drive down cost, ease management and make application delivery more flexible overall.
As with most new architectures, this dream takes significant work to become a reality. Even when you do get your application componentized enough and packaged properly, there are still challenges for DevOps teams to making the shift to continuous delivery and achieving that reduction in cost and increase in speed. Sometimes in order to reduce complexity teams compromise features ...
Automation is enabling enterprises to design, deploy, and manage more complex, hybrid cloud environments. Yet the people who manage these environments must be trained in and understanding these environments better than ever before. A new era of analytics and cognitive computing is adding intelligence, but also more complexity, to these cloud environments. How smart is your cloud? How smart should it be? In this power panel at 20th Cloud Expo, moderated by Conference Chair Roger Strukhoff, panelists looked at the evolving nature of hybrid cloud, how it affects enterprise IT staffing requirement...
21st International Cloud Expo, taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, 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. Meanwhile, 94% of enterprises are using some form of XaaS – software, platform, and infrastructure as ...
Thanks to the plethora of communication and messaging apps available to the average user, unified communications (UC) is becoming more important than ever before. UC is a set of products and services designed to give employees a uniform communications experience, integrating different apps and channels to a singular point of interaction. For example, UC might allow a transcript of a voicemail to be delivered to a recipient’s email, enabling a central communication location that comprises multiple mediums at once.
Agile has finally jumped the technology shark, expanding outside the software world. Enterprises are now increasingly adopting Agile practices across their organizations in order to successfully navigate the disruptive waters that threaten to drown them. In our quest for establishing change as a core competency in our organizations, this business-centric notion of Agile is an essential component of Agile Digital Transformation.
In the years since the publication of the Agile Manifesto, the connection between building better software and business agility has been a tenuous one at best. But now...
Many organizations are now looking to DevOps maturity models to gauge their DevOps adoption and compare their maturity to their peers. However, as enterprise organizations rush to adopt DevOps, moving past experimentation to embrace it at scale, they are in danger of falling into the trap that they have fallen into time and time again.
Unfortunately, we've seen this movie before, and we know how it ends: badly.
Internet of @ThingsExpo, taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 21st Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world.
The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago.
All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number w...
I’ve always felt that bringing an economics perspective to our big data and digital transformation discussions is more important than a traditional accounting or even information technology (IT) perspective. Heck, I believe that a Chief Data Officer’s background should be more along the lines of economics than IT. Economics brings a forward-looking perspective on creating value (wealth). In fact, economics is defined as “the branch of knowledge concerned with the production, consumption, and transfer (capture) of wealth.”
Fintech is a lucrative, yet quite saturated market. In order to stay competitive, businesses should keep track of the emerging trends and be able to capitalize on them before their competitors do. Artificial Intelligence is currently among the most promising fintech trends. Leading financial brands such as Capital One, MasterCard, as well as hundreds of startups have set the pace for the adoption of virtual financial advisors. If you want to stay ahead of your competition or simply explore the opportunities for AI in fintech, this article is for you.
The Internet giants are fully embracing AI. All the services they offer to their customers are aimed at drawing a map of the world with the data they get. The AIs from these companies are used to build disruptive approaches that cannot be used by established enterprises, which are threatened by these disruptions. However, most leaders underestimate the effect this will have on their businesses. In his session at 21st Cloud Expo, Rene Buest, Director Market Research & Technology Evangelism at Arago, will discuss the digital enterprise evolution in the context of artificial intelligence.
SYS-CON Events announced today that DXWorldExpo has been named “Global Sponsor” of SYS-CON's 21st International Cloud Expo, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Digital Transformation is the key issue driving the global enterprise IT business. Digital Transformation is most prominent among Global 2000 enterprises and government institutions.
Leading companies, from the Global Fortune 500 to the smallest companies, are adopting hybrid cloud as the path to business advantage. Hybrid cloud depends on cloud services and on-premises infrastructure working in unison. Successful implementations require new levels of data mobility, enabled by an automated and seamless flow across on-premises and cloud resources. In his general session at 21st Cloud Expo, Greg Tevis, an IBM Storage Software Technical Strategist and Customer Solution Architect, will explore how storage and software-defined solutions from IBM have evolved for the road ahead....