Cedexis at Tech Week Cloud & DevOps World London

Cedexis will be exhibiting at TechXLR8, Cloud & DevOps World in London next June 12-14.

Cloud & DevOps World, part of the larger TechXLR8 event, will bring together the industry’s leading technologists and innovators to discuss cloud innovation, DevOps, containers, serverless architecture, regulation, cloud management micro services and much more. Learn more about this event.

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Join us for our free conference: “How to build an Intelligent Traffic Management to automate delivery and control costs».

Thursday, 14 June 2018 14:30 – 14:50

Animated by Arnaud Bécart, Solution Engineer and Cloud expert

Location: Expo Theatre E – Future Cloud Technologies

Learn more here. 


We hope to see you there!

The Cedexis team

Citrix Intelligent Traffic Management announcement at Citrix Synergy

Citrix announced the new Citrix Intelligent Traffic Management at Citrix Synergy last week, as a result of the recent acquisition and integration of Cedexis.

As content and data elements move to multiple clouds and CDNs, providing the best user experience requires dynamically optimizing the flow of traffic across ISPs, CDNs and public clouds worldwide.

Watch the presentation session on demand on Citrix Synergy TV:

« Deliver the best user experience for your customers and users with Intelligent Traffic Management »


Raj Gulani, 

Citrix Sr. Director, Product Management




Steven Lyons,  Citrix Principal Product Manager for Cedexis/Intelligent Traffic Management



Watch it Now!


Streaming Video Has Made it to the Big Time. Are You Ready to Deliver?

We won’t waste your time with prognostications about the death of cable TV. With a cast of characters that includes the FCC, Disney, Netflix, Amazon, YouTube, telcos, and networks, there’s no telling how this plot will unfold. But as we enter a fresh new year of disruption in technology, entertainment, and consumer choice, it’s worth noting we’re in the midst of a convergence.

Streaming TV has crossed the Rubicon. You know when your Baby Boomer parents buy a smart TV for Christmas and cut the cable cord, a new era of couch potato-ing has arrived. Need more evidence? Consumer Reports just published a full review of streaming services — representing a full range of offerings from sports-focused and movie-centric hubs to original content creators (network and otherwise), 16 different services made their list. Streaming TV is a household commodity on par with dishwashers, tires, and vacuum cleaners. It’s a mainstream milestone. (PC Mag also has a nice new chart, in case you’re shopping).

In addition to a growing selection of services, the convergence encompasses advances in streaming video devices and TVs, fast and reliable Internet connections, the popularity of watching TV on smartphones and tablets, and a growing supply of high quality movies and series for every imaginable viewing preferences. To those who still remember VHS, it looks like the seventh heaven of streaming video. It’s thrilling to imagine what they’ll think of next. We may never get off the couch again.

There are two kinds of television watching. There’s passive watching — having HGTV on in the background while you fold laundry and tidy up. And there’s intentional watching — sitting down to watch a basketball game or an episode of your favorite show. DVRs, on demand cable offerings, and Netflix already revolutionized intentional watching — we’re much less tethered to watching certain things at certain times than we were 10 years ago. Streaming TV blurs the distinction between these two modes by making all the options available all the time, anywhere we want to watch. All the best things about TV — live events and games, network programming, movie rentals, and binge watching — can be streamed, and the runaround of switching inputs, setting up recordings, and loading DVDs is becoming a thing of the past.

Most important of all? It all looks like “real” television. If the picture quality doesn’t match what comes through the cable box, streaming loses its audience. Even cord cutters looking to save money don’t want to accept subpar video quality. Looking like cable TV depends on smart traffic management. For the convergence to hold, streaming quality has to keep getting better and more reliable. Moreover, providers have to manage costs so they can keep creating original content and making profits.

Outages, slow clouds, and CDN issues — what looks like buffering or stalled screens to viewers — might be the only thing that could dampen the convert’s enthusiasm for streaming services. As audiences grow (and the FCC fracas sorts itself out), content distributors need a way to ensure seamless, high-quality delivery. To scale globally while improving customer satisfaction, you need a way to optimize traffic management intelligently with user-by-user, second-by-second granularity. Real user measurement (real-time pulse of user experience, even in sparsely-served regions), real-time server health, and third party metrics (to guide and monitor efficient use of bandwidth resources) give you an essential level of control.

Cedexis ADP includes specific optimizations that help maintain a highly quality of experience for all of users — reducing start failures, improving start times, and eliminating buffering.

It might have seemed hyperbolic just a few years ago, but there’s no need to play it cool — thanks to streaming video, TV is very exciting right now. (It’s tempting to use the word revolution, but that’s definitely not cool.) There are sure to be some fiercely competitive years ahead. You won’t win by overspending on bandwidth, and you won’t win with sputtering video quality. Control, visibility, intelligence, efficient resource use, and automation will be crucial to navigating the battlefield — and making the magic happen for your audience.

– Aude Smiejan as Cedexis SaaS and Cloud expert

Is Your Data Traffic Management Ready for IoT?

The Internet of Things (IoT) got its own name for a reason. While the wildfire-like spread of this vast network of connected sensors and devices shares many elements with the birth of the plain old Internet, the distinctions are fundamental. Primarily, it is a difference in the nature of the connected nodes. IoT devices may be “smart” but they aren’t PCs — they have little compute power of their own, they aren’t operated directly by humans, and they are wholly dependent on networked connections to function. Moreover, IoT devices don’t work via batch processes; they send alerts and data when real-time events trigger them to communicate. These dynamic networks require fluid, extensible, software-defined infrastructure.

Explosive Expansion

As we add billions and billions more data-generating nodes to the Internet over the next few years, the inherent challenges will grow apace — especially security, visibility, data storage, and data traffic management. Market projections vary; Cisco forecasts 50 billion devices by 2020 while IHS Markit predicts 125 billion devices by 2030. In any case, the scale is massive and unprecedented. Harnessing the opportunities and sorting out the complications will require robust automation and intelligence capabilities. The evolution of the intelligence stack will determine the security and sustainability of IoT applications. Ultimately, intelligent algorithms will dynamically process everything from sensor data streams to cybersecurity alerts to predictive business insights.

In the battle to keep up with the explosion of IoT devices and data, a strong foundation is paramount. The reliability and responsiveness of the network is fundamental. If data can’t transmit at the highest speeds and reliability, the basic functions of many IoT products — medical devices, smoke alarms, security cameras, connected cars — will be unacceptably compromised, and further innovation inhibited.

AI and Automation

Of course, the essential role of automation, artificial intelligence (AI), and machine learning (ML) doesn’t end with device operability (i.e., ensuring data can flow back and forth in real time). The next layer is analytics (mining data in real-time for trends, patterns, and insights), followed by decision-making and extended use cases (intelligence to act on the collected and analyzed data or to share and sell it for use by additional systems). For example, in the event of an after-hours office fire, not only is it imperative that the smoke alarm signal reach the fire department, the system needs to be smart enough to check for alarm activity in nearby offices or buildings, and send the correlated data to the fire department so they can send enough equipment and personnel. And of course all of this has to happen without fail and without delay.

Digital Transformation Overdrive

It’s clear that when setting up the logic for any step in your IoT network, intelligent controls will have to be dynamic, programmable, and accessible. While substantial, proven IoT use cases may be years from fruition in your organization, the drive toward digital transformation is already in full swing. To withstand disruption, enterprises should start building their intelligence stack now, starting with intelligent global network traffic management.

Your competitors are diving into IoT, AI, and ML adoption. A 2017 Cowen study highlighted that 81 percent of the IT leaders surveyed were actively investing in AI — 43 percent are evaluating and executing proofs of concept, and 38 percent have deployed and are planning further investments. A McKinsey Global Institute report summary outlines how AI is creating value for early adopters throughout their value chain. Auto manufacturers, for example, use IoT and AI to optimize their shop floor operations, advance their marketing intelligence, add sensors to cars that help with maintenance and repair, and develop the next generation of connected cars. As these technologies are adopted throughout their supply chain, they will drive step changes in efficiency, visibility, and quality control.

Oracle’s Amit Zavery shared some eye-opening predictions about the near term penetration of intelligent automation in cloud computing operations that emphasize just how rapidly this transformation is being realized. And he’s talking about 2020 — a mere two years from now — not a theoretical future.

If you aren’t investing in your intelligence stack, you’ll lose out on multiple fronts: productivity, cost reductions, product and service insights, and business opportunities with enterprise clients that require their partners and vendors to be IoT-enabled.

Start Smart

Circling back to where we started, consider again what underpins each of these efforts — wherever IoT/AI/ML technologies are being applied, the networked flow of data is an essential component. As the number of devices and petabytes of data continue to surge, providing computing power, data storage, and connectivity at the edge (closer to the devices) is going to be increasingly vital — and increasingly complex. The already low tolerance for data latency and outages will quickly become zero tolerance, especially for critical applications with public safety and cybersecurity implications (transportation, medicine, smart cities, commercial and residential security systems, etc.).

Certainly none of the traditional, static ways of handling network traffic will suffice — every bit of infrastructure must be optimized to handle the IoT burden, starting with DNS. Data traffic routing will have to be intelligent, driven by algorithms that ingest server data, real user measurements, and third party metrics in real time in order to pick the best path — with “best” being defined by parameters such as speed, reliability, type of data, and efficient resource use.

As always, the pace of change is relentless. Jump into the fray now by getting a handle on automated, algorithm-driven network and data management, and build your intelligence stack — apps, platforms, analytics, and infrastructure— from a smart start.

Andrew Marshall, Principal Product Manager

Learn more meeting with our team at Cloud Expo London, March 21st-22!

Visit us: Cedexis booth #C1770 I  Citrix booth #C1750

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