|By Jason Bloomberg||
|September 3, 2014 07:00 PM EDT||
In last week’s Forbes article I discussed various senses of the term real-time: low latency user interfaces, up-to-date information, live human interactions, and high-performance data processing – to name but a few. Today, for the Cortex audience (as well as the Wired Innovations and SYS-CON audiences), it’s time to channel Lewis Carroll and have a wondrous adventure to shed light on the true significance and challenges of real-time.
As we venture down the rabbit hole of our technology-infused world, it’s easy to see that everything is getting faster and bigger and, well, just more. Moore’s Law has just taken a big swig from a bottle that says drink me, as we have more memory, more storage, faster networks, more network-connected doodads, more and faster processors than ever before. And of course, we’re also getting better at everything: better apps. Better operating systems. Better ways of abstracting every element of our environment to provide even greater performance and flexibility. We are truly living in a time of plenty, if not excess. It’s no wonder that we want real-time in everything we do.
Today’s challenge isn’t only making stuff go faster. It’s figuring out how all the acceleration of all the bits and pieces fit together. Furthermore, this push to achieve a holistic perspective on all this gear drives our quest for real-time, as it only takes one bottleneck to slow everything else down. The only way we’ll truly achieve real-time behavior is by understanding the connections this wonderland of real-time requires. So let’s get started, or my ears and whiskers, we’ll be late!
Real-Time Starting Point: Reactive Programming
Google “real-time.” Right after Bill Maher’s HBO show and a general Wikipedia entry comes Wikipedia’s “real-time computing” page – presumably the real-time we’re talking about here. Load that page and you’ll notice two curiouser and curiouser facts right off the bat: first, the Wikipedia article itself has serious issues – as though no one who cares about real-time computing actually wants anybody else to understand it. Second, “real-time computing” is apparently synonymous with “reactive computing,” a much less familiar term. The rest of the article focuses on the sort of real-time we want from our antilock brakes – useful to be sure, but not the enterprise context we were looking for.
Maybe reactive computing is closer to the mark? Well, there’s inexplicably no Wikipedia page for that. The closest we can come is the reactive computing mock turtle: reactive programming. The basic idea with reactive programming is that the behavior of pieces of software can be declaratively defined, and thus evaluated in real-time – just as spreadsheet cells update automatically when a value they refer to changes.
There’s more to the reactive story than software that updates automatically, however, as a visit to the reactive manifesto illustrates. This wise caterpillar of a manifesto calls out four key reactive traits: event-driven, scalable, responsive, and resilient – essentially calling for Cloud-friendly, event-driven architectures that have the declarative behavior definition we know and love from the spreadsheet – only now across a hybrid enterprise context. Mushroom, anyone?
It’s no coincidence that Bloomberg Agile Architecture™ (BAA) also calls out responsiveness and resilience, although the BAA contexts for these terms are aspects of business agility rather than software – but suffice it to say, if your software doesn’t have these traits, it’s unlikely your organization is agile. Alas, we thought we saw the Cheshire Cat of agility, but all we saw was its smile. The people behind the reactive manifesto, however, have a far more technical context for these terms – Play Framework, an open source web application framework for Java and Scala that bills itself as lightweight, stateless, and Web-friendly.
At this point this Cortex might have gone down the Scala rabbit hole – but I’ll save that for a future issue (Through the Looking Glass, perhaps?). Just for fun, however, let’s follow the stateless thread of this adventure to the beach where the Walrus and the Carpenter entertain their oysters. I’ve discussed statelessness over the years in many contexts, from the challenge of maintaining business process instance state with stateless Services, to the role hypermedia play in transferring state to the client if you actually follow REST properly (which almost no one does), to the challenges state management presents to Cloud-based applications. Understanding the relationship between statelessness and real-time behavior, however, ties all these concepts together in a nice package. The oysters, however, aren’t nearly so satisfied.
State, in fact, is the Queen’s tarts of real-time computing. Sure, sometimes your software behavior can be completely reactive: event happens, do some stuff, give some kind of result, and never keep track of anything or wait around for somebody else to finish something. Such processing can be blisteringly fast, of course. It’s when you have to keep track of something that problems arise: where do you do the tracking? Do you have to keep track of multiple things at once when they might interact somehow? How permanent does the tracking have to be? And most importantly: won’t all this tracking slow everything down?
Time to hide the tarts: we could simply keep track of everything in the database. We get unlimited persistence, but databases are relatively slow and scaling them can be difficult. So let’s call upon the knave of hearts to spirit away those tarts to some piece of infrastructure in our middle tier, like an application server or an ESB. The database breathes a sigh of relief, but now we have a Cloud-unfriendly centralized state management approach. So instead, let’s pass the tarts to the client – after all, that’s where REST got its name (Representational State Transfer, natch). We now have scalability and Cloud friendliness, but this approach doesn’t deal well with shared state (as we would need for any type of collaborative application), and nobody likes HATEOAS, even when they understand it.
Enter caching. The idea of a cache is to temporarily store those pesky state tarts, thus lightening the load on the persistence tier. And calloo callay! We can now cache in memory, making it wicked fast. But we still have the Cloud-friendliness problem, so enter from the Queen’s croquet pitch the distributed in-memory cache. Cloud-friendly, check. Wicked fast, check. Responsive? Well, it depends on the color of the roses. The problem here, of course, is the problem caches always have: if all your data are always changing or every interaction always requires different data, caches are worse than useless, since caching something only makes sense if somebody is going to use it a few times before you need to refresh it.
At this point there’s only one more place for the tarts to go: back to the database. We need faster databases that are both Cloud-friendly and deal well with the continually exploding nature of Big Data. It’s no wonder, therefore, that the database marketplace is undergoing a dramatic period of innovation. Yes, another rabbit hole for yet another day – but let’s tease out a single architectural tea party that relates directly to real-time: immutability.
Your mad hatter of a database is immutable if it only supports writes that append data but no updates or deletes. Instead, to handle these pesky changes, additional records are added that indicate a previous record has changed. Immutability is essential for solving some knotty problems with concurrency – a mischievous dormouse for distributed computing since the client/server days and still a hassle in today’s Cloud-enabled world. As anyone who has used GitHub or a similar immutable data store can attest, immutability is the key to scaling a database that supports a large number of users who can add information, since all changes are handled as new data, and furthermore, the data store maintains a complete audit trail of everything that has ever happened, regardless of whether we all move down one seat at the table in search of clean dishes.
GitHub additionally works well with caching because it must assemble the current version of each stored file by adding together all the changes, or diffs, to that file. Temporary storage of each current version thus lightens the load on the underlying data store. But in other situations where the underlying data are always in flux, immutability still helps to address the real-time need. Reads can be extraordinarily fast compared to traditional databases, because the database can look to the index to identify the latest version of a record.
And so our adventure through real-time computing brings us to indexing in all its glory – not just for finding the desired record, but also for all the metadata necessary to assemble the various diffs in order to deliver the current version of a record in real-time. The metadata story for real-time, however, doesn’t stop at indices, as the army of metadata playing cards are central to the notion of declarative programming.
We have thus come full circle to the notion of reactive programming, which includes declaratively defining the behavior of pieces of software as simply as entering formulas into cells in a spreadsheet. And while a single worksheet may have tens of thousands of cells, extending the role metadata play to a distributed enterprise context ups the ante on the relationship between reactive programming and metadata: being able to resolve the desired behavior of any software given the combination of all metadata in the relevant environment – for every interaction, in real-time.
We call such resolution dynamic constraint satisfaction, where the metadata describe the relevant constraints, even though they may be fully dynamic. Calculating the result, therefore, must take place in real-time. Envision one massive spreadsheet, only instead of formulas in the cells, you have any reactive software you might find anywhere in your IT environment. The cell with your final answer is always correct, and always up to date – in real-time. Off with their heads!
The Intellyx Take
Our adventure down the real-time rabbit hole in this enterprise IT wonderland took us many different places. And while each of the critters we met had its own real-time story, our adventure tied all the individual stories together. Such is the nature of real-time: we have many moving parts and they must all be working at top form together in order to deliver a true real-time experience to each user.
Real-time behavior, therefore, is an important challenge for any digital professional, as there is more to digital transformation than meets the eye. Your customers, partners, and broader audience expect such behavior from your digital efforts, and to keep them happy you need the right technology and most importantly, the right architecture to glue everything together in real-time.
Even as cloud and managed services grow increasingly central to business strategy and performance, challenges remain. The biggest sticking point for companies seeking to capitalize on the cloud is data security. Keeping data safe is an issue in any computing environment, and it has been a focus since the earliest days of the cloud revolution. Understandably so: a lot can go wrong when you allow valuable information to live outside the firewall. Recent revelations about government snooping, along...
Mar. 2, 2015 11:00 AM EST Reads: 7,013
In his session at DevOps Summit, Tapabrata Pal, Director of Enterprise Architecture at Capital One, will tell a story about how Capital One has embraced Agile and DevOps Security practices across the Enterprise – driven by Enterprise Architecture; bringing in Development, Operations and Information Security organizations together. Capital Ones DevOpsSec practice is based upon three "pillars" – Shift-Left, Automate Everything, Dashboard Everything. Within about three years, from 100% waterfall, C...
Mar. 2, 2015 11:00 AM EST Reads: 2,751
SYS-CON Media announced that IBM, which offers the world’s deepest portfolio of technologies and expertise that are transforming the future of work, has launched ad campaigns on SYS-CON’s numerous online magazines such as Cloud Computing Journal, Virtualization Journal, SOA World Magazine, and IoT Journal. IBM’s campaigns focus on vendors in the technology marketplace, the future of testing, Big Data and analytics, and mobile platforms.
Mar. 2, 2015 11:00 AM EST Reads: 974
HP and Aruba Networks on Monday announced a definitive agreement for HP to acquire Aruba, a provider of next-generation network access solutions for the mobile enterprise, for $24.67 per share in cash. The equity value of the transaction is approximately $3.0 billion, and net of cash and debt approximately $2.7 billion. Both companies' boards of directors have approved the deal. "Enterprises are facing a mobile-first world and are looking for solutions that help them transition legacy investme...
Mar. 2, 2015 10:29 AM EST Reads: 330
PubNub on Monday has announced that it is partnering with IBM to bring its sophisticated real-time data streaming and messaging capabilities to Bluemix, IBM’s cloud development platform. “Today’s app and connected devices require an always-on connection, but building a secure, scalable solution from the ground up is time consuming, resource intensive, and error-prone,” said Todd Greene, CEO of PubNub. “PubNub enables web, mobile and IoT developers building apps on IBM Bluemix to quickly add sc...
Mar. 2, 2015 10:00 AM EST Reads: 4,837
Data-intensive companies that strive to gain insights from data using Big Data analytics tools can gain tremendous competitive advantage by deploying data-centric storage. Organizations generate large volumes of data, the vast majority of which is unstructured. As the volume and velocity of this unstructured data increases, the costs, risks and usability challenges associated with managing the unstructured data (regardless of file type, size or device) increases simultaneously, including end-to-...
Mar. 2, 2015 09:45 AM EST Reads: 2,312
The excitement around the possibilities enabled by Big Data is being tempered by the daunting task of feeding the analytics engines with high quality data on a continuous basis. As the once distinct fields of data integration and data management increasingly converge, cloud-based data solutions providers have emerged that can buffer your organization from the complexities of this continuous data cleansing and management so that you’re free to focus on the end goal: actionable insight.
Mar. 2, 2015 09:30 AM EST Reads: 1,691
Between the compelling mockups and specs produced by your analysts and designers, and the resulting application built by your developers, there is a gulf where projects fail, costs spiral out of control, and applications fall short of requirements. In his session at DevOps Summit, Charles Kendrick, CTO and Chief Architect at Isomorphic Software, will present a new approach where business and development users collaborate – each using tools appropriate to their goals and expertise – to build mo...
Mar. 2, 2015 09:00 AM EST Reads: 2,935
The Internet of Things (IoT) is causing data centers to become radically decentralized and atomized within a new paradigm known as “fog computing.” To support IoT applications, such as connected cars and smart grids, data centers' core functions will be decentralized out to the network's edges and endpoints (aka “fogs”). As this trend takes hold, Big Data analytics platforms will focus on high-volume log analysis (aka “logs”) and rely heavily on cognitive-computing algorithms (aka “cogs”) to mak...
Mar. 2, 2015 09:00 AM EST Reads: 1,141
With several hundred implementations of IoT-enabled solutions in the past 12 months alone, this session will focus on experience over the art of the possible. Many can only imagine the most advanced telematics platform ever deployed, supporting millions of customers, producing tens of thousands events or GBs per trip, and hundreds of TBs per month. With the ability to support a billion sensor events per second, over 30PB of warm data for analytics, and hundreds of PBs for an data analytics arc...
Mar. 2, 2015 09:00 AM EST Reads: 1,337
Since 2008 and for the first time in history, more than half of humans live in urban areas, urging cities to become “smart.” Today, cities can leverage the wide availability of smartphones combined with new technologies such as Beacons or NFC to connect their urban furniture and environment to create citizen-first services that improve transportation, way-finding and information delivery. In her session at @ThingsExpo, Laetitia Gazel-Anthoine, CEO of Connecthings, will focus on successful use c...
Mar. 2, 2015 04:00 AM EST Reads: 2,953
VictorOps is making on-call suck less with the only collaborative alert management platform on the market. With easy on-call scheduling management, a real-time incident timeline that gives you contextual relevance around your alerts and powerful reporting features that make post-mortems more effective, VictorOps helps your IT/DevOps team solve problems faster.
Mar. 1, 2015 05:00 PM EST Reads: 1,266
Skeuomorphism usually means retaining existing design cues in something new that doesn’t actually need them. However, the concept of skeuomorphism can be thought of as relating more broadly to applying existing patterns to new technologies that, in fact, cry out for new approaches. In his session at DevOps Summit, Gordon Haff, Senior Cloud Strategy Marketing and Evangelism Manager at Red Hat, will discuss why containers should be paired with new architectural practices such as microservices ra...
Mar. 1, 2015 04:00 PM EST Reads: 1,484
Roberto Medrano, Executive Vice President at SOA Software, had reached 30,000 page views on his home page - http://RobertoMedrano.SYS-CON.com/ - on the SYS-CON family of online magazines, which includes Cloud Computing Journal, Internet of Things Journal, Big Data Journal, and SOA World Magazine. He is a recognized executive in the information technology fields of SOA, internet security, governance, and compliance. He has extensive experience with both start-ups and large companies, having been ...
Mar. 1, 2015 04:00 PM EST Reads: 1,303
The industrial software market has treated data with the mentality of “collect everything now, worry about how to use it later.” We now find ourselves buried in data, with the pervasive connectivity of the (Industrial) Internet of Things only piling on more numbers. There’s too much data and not enough information. In his session at @ThingsExpo, Bob Gates, Global Marketing Director, GE’s Intelligent Platforms business, to discuss how realizing the power of IoT, software developers are now focu...
Mar. 1, 2015 03:15 PM EST Reads: 1,401
Operational Hadoop and the Lambda Architecture for Streaming Data Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and Internet-of-Things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing...
Mar. 1, 2015 02:00 PM EST Reads: 1,381
SYS-CON Events announced today that Vitria Technology, Inc. will exhibit at SYS-CON’s @ThingsExpo, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Vitria will showcase the company’s new IoT Analytics Platform through live demonstrations at booth #330. Vitria’s IoT Analytics Platform, fully integrated and powered by an operational intelligence engine, enables customers to rapidly build and operationalize advanced analytics to deliver timely business outcomes ...
Mar. 1, 2015 01:45 PM EST Reads: 1,252
DevOps is about increasing efficiency, but nothing is more inefficient than building the same application twice. However, this is a routine occurrence with enterprise applications that need both a rich desktop web interface and strong mobile support. With recent technological advances from Isomorphic Software and others, it is now feasible to create a rich desktop and tuned mobile experience with a single codebase, without compromising performance or usability.
Mar. 1, 2015 01:15 PM EST Reads: 1,149
SYS-CON Events announced today Arista Networks will exhibit at SYS-CON's DevOps Summit 2015 New York, which will take place June 9-11, 2015, at the Javits Center in New York City, NY. Arista Networks was founded to deliver software-driven cloud networking solutions for large data center and computing environments. Arista’s award-winning 10/40/100GbE switches redefine scalability, robustness, and price-performance, with over 3,000 customers and more than three million cloud networking ports depl...
Mar. 1, 2015 01:00 PM EST Reads: 1,579
The speed of software changes in growing and large scale rapid-paced DevOps environments presents a challenge for continuous testing. Many organizations struggle to get this right. Practices that work for small scale continuous testing may not be sufficient as the requirements grow. In his session at DevOps Summit, Marc Hornbeek, Sr. Solutions Architect of DevOps continuous test solutions at Spirent Communications, will explain the best practices of continuous testing at high scale, which is r...
Mar. 1, 2015 01:00 PM EST Reads: 1,221