|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.
SYS-CON Events announced today that Luxoft Holding, Inc., a leading provider of software development services and innovative IT solutions, has been named “Bronze Sponsor” of SYS-CON's @ThingsExpo, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. Luxoft’s software development services consist of core and mission-critical custom software development and support, product engineering and testing, and technology consulting.
Oct. 7, 2015 03:15 PM EDT Reads: 600
“In the past year we've seen a lot of stabilization of WebRTC. You can now use it in production with a far greater degree of certainty. A lot of the real developments in the past year have been in things like the data channel, which will enable a whole new type of application," explained Peter Dunkley, Technical Director at Acision, in this SYS-CON.tv interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
Oct. 7, 2015 03:00 PM EDT Reads: 6,885
NHK, Japan Broadcasting, will feature the upcoming @ThingsExpo Silicon Valley in a special 'Internet of Things' and smart technology documentary that will be filmed on the expo floor between November 3 to 5, 2015, in Santa Clara. NHK is the sole public TV network in Japan equivalent to the BBC in the UK and the largest in Asia with many award-winning science and technology programs. Japanese TV is producing a documentary about IoT and Smart technology and will be covering @ThingsExpo Silicon Valley. The program, to be aired during the peak viewership season of the year, will have a major impac...
Oct. 7, 2015 02:45 PM EDT Reads: 169
"Matrix is an ambitious open standard and implementation that's set up to break down the fragmentation problems that exist in IP messaging and VoIP communication," explained John Woolf, Technical Evangelist at Matrix, in this SYS-CON.tv interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
Oct. 7, 2015 02:00 PM EDT Reads: 5,842
Developing software for the Internet of Things (IoT) comes with its own set of challenges. Security, privacy, and unified standards are a few key issues. In addition, each IoT product is comprised of at least three separate application components: the software embedded in the device, the backend big-data service, and the mobile application for the end user's controls. Each component is developed by a different team, using different technologies and practices, and deployed to a different stack/target - this makes the integration of these separate pipelines and the coordination of software upd...
Oct. 7, 2015 02:00 PM EDT Reads: 193
You have your devices and your data, but what about the rest of your Internet of Things story? Two popular classes of technologies that nicely handle the Big Data analytics for Internet of Things are Apache Hadoop and NoSQL. Hadoop is designed for parallelizing analytical work across many servers and is ideal for the massive data volumes you create with IoT devices. NoSQL databases such as Apache HBase are ideal for storing and retrieving IoT data as “time series data.”
Oct. 7, 2015 01:45 PM EDT Reads: 479
There are so many tools and techniques for data analytics that even for a data scientist the choices, possible systems, and even the types of data can be daunting. In his session at @ThingsExpo, Chris Harrold, Global CTO for Big Data Solutions for EMC Corporation, will show how to perform a simple, but meaningful analysis of social sentiment data using freely available tools that take only minutes to download and install. Participants will get the download information, scripts, and complete end-to-end walkthrough of the analysis from start to finish. Participants will also be given the pract...
Oct. 7, 2015 01:45 PM EDT Reads: 102
Clearly the way forward is to move to cloud be it bare metal, VMs or containers. One aspect of the current public clouds that is slowing this cloud migration is cloud lock-in. Every cloud vendor is trying to make it very difficult to move out once a customer has chosen their cloud. In his session at 17th Cloud Expo, Naveen Nimmu, CEO of Clouber, Inc., will advocate that making the inter-cloud migration as simple as changing airlines would help the entire industry to quickly adopt the cloud without worrying about any lock-in fears. In fact by having standard APIs for IaaS would help PaaS expl...
Oct. 7, 2015 01:30 PM EDT Reads: 607
SYS-CON Events announced today that ProfitBricks, the provider of painless cloud infrastructure, will exhibit at SYS-CON's 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. ProfitBricks is the IaaS provider that offers a painless cloud experience for all IT users, with no learning curve. ProfitBricks boasts flexible cloud servers and networking, an integrated Data Center Designer tool for visual control over the cloud and the best price/performance value available. ProfitBricks was named one of the coolest Clo...
Oct. 7, 2015 01:00 PM EDT Reads: 748
Organizations already struggle with the simple collection of data resulting from the proliferation of IoT, lacking the right infrastructure to manage it. They can't only rely on the cloud to collect and utilize this data because many applications still require dedicated infrastructure for security, redundancy, performance, etc. In his session at 17th Cloud Expo, Emil Sayegh, CEO of Codero Hosting, will discuss how in order to resolve the inherent issues, companies need to combine dedicated and cloud solutions through hybrid hosting – a sustainable solution for the data required to manage I...
Oct. 7, 2015 01:00 PM EDT Reads: 453
WebRTC is about the data channel as much as about video and audio conferencing. However, basically all commercial WebRTC applications have been built with a focus on audio and video. The handling of “data” has been limited to text chat and file download – all other data sharing seems to end with screensharing. What is holding back a more intensive use of peer-to-peer data? In her session at @ThingsExpo, Dr Silvia Pfeiffer, WebRTC Applications Team Lead at National ICT Australia, will look at different existing uses of peer-to-peer data sharing and how it can become useful in a live session to...
Oct. 7, 2015 01:00 PM EDT Reads: 549
Mobile messaging has been a popular communication channel for more than 20 years. Finnish engineer Matti Makkonen invented the idea for SMS (Short Message Service) in 1984, making his vision a reality on December 3, 1992 by sending the first message ("Happy Christmas") from a PC to a cell phone. Since then, the technology has evolved immensely, from both a technology standpoint, and in our everyday uses for it. Originally used for person-to-person (P2P) communication, i.e., Sally sends a text message to Betty – mobile messaging now offers tremendous value to businesses for customer and empl...
Oct. 7, 2015 12:15 PM EDT Reads: 193
SYS-CON Events announced today that IBM Cloud Data Services has been named “Bronze Sponsor” of SYS-CON's 17th Cloud Expo, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. IBM Cloud Data Services offers a portfolio of integrated, best-of-breed cloud data services for developers focused on mobile computing and analytics use cases.
Oct. 7, 2015 12:00 PM EDT Reads: 673
Scott Guthrie's keynote presentation "Journey to the intelligent cloud" is a must view video. This is from AzureCon 2015, September 29, 2015 I have reproduced some screen shots in case you are unable to view this long video for one reason or another. One of the highlights is 3 datacenters coming on line in India.
Oct. 7, 2015 12:00 PM EDT Reads: 255
Nowadays, a large number of sensors and devices are connected to the network. Leading-edge IoT technologies integrate various types of sensor data to create a new value for several business decision scenarios. The transparent cloud is a model of a new IoT emergence service platform. Many service providers store and access various types of sensor data in order to create and find out new business values by integrating such data.
Oct. 7, 2015 12:00 PM EDT Reads: 468
Apps and devices shouldn't stop working when there's limited or no network connectivity. Learn how to bring data stored in a cloud database to the edge of the network (and back again) whenever an Internet connection is available. In his session at 17th Cloud Expo, Bradley Holt, Developer Advocate at IBM Cloud Data Services, will demonstrate techniques for replicating cloud databases with devices in order to build offline-first mobile or Internet of Things (IoT) apps that can provide a better, faster user experience, both offline and online. The focus of this talk will be on IBM Cloudant, Apa...
Oct. 7, 2015 11:45 AM EDT Reads: 489
As a company adopts a DevOps approach to software development, what are key things that both the Dev and Ops side of the business must keep in mind to ensure effective continuous delivery? In his session at DevOps Summit, Mark Hydar, Head of DevOps, Ericsson TV Platforms, will share best practices and provide helpful tips for Ops teams to adopt an open line of communication with the development side of the house to ensure success between the two sides.
Oct. 7, 2015 11:00 AM EDT Reads: 559
The enterprise is being consumerized, and the consumer is being enterprised. Moore's Law does not matter anymore, the future belongs to business virtualization powered by invisible service architecture, powered by hyperscale and hyperconvergence, and facilitated by vertical streaming and horizontal scaling and consolidation. Both buyers and sellers want instant results, and from paperwork to paperless to mindless is the ultimate goal for any seamless transaction. The sweetest sweet spot in innovation is automation. The most painful pain point for any business is the mismatch between supplies a...
Oct. 7, 2015 11:00 AM EDT Reads: 148
As more and more data is generated from a variety of connected devices, the need to get insights from this data and predict future behavior and trends is increasingly essential for businesses. Real-time stream processing is needed in a variety of different industries such as Manufacturing, Oil and Gas, Automobile, Finance, Online Retail, Smart Grids, and Healthcare. Azure Stream Analytics is a fully managed distributed stream computation service that provides low latency, scalable processing of streaming data in the cloud with an enterprise grade SLA. It features built-in integration with Azur...
Oct. 7, 2015 10:00 AM EDT Reads: 736
WebRTC: together these advances have created a perfect storm of technologies that are disrupting and transforming classic communications models and ecosystems. In his session at WebRTC Summit, Cary Bran, VP of Innovation and New Ventures at Plantronics and PLT Labs, will provide an overview of this technological shift, including associated business and consumer communications impacts, and opportunities it may enable, complement or entirely transform.
Oct. 7, 2015 09:30 AM EDT Reads: 675