DevOps is a term that comes full of controversy. A lot of people are on the bandwagon, while others are waiting for the term to jump the shark, and eventually go back to business as usual.
Regardless of where you are along the specturm of loving or hating the term DevOps, one thing is certain. More and more people are using it to describe a system administrator who uses scripts, or tools like, Chef, Puppet or Ansible, in order to provision infrastructure. There is also usually an expectation of being able to deliver this in 100% cloud, or hybrid cloud environments.
A Harsh #BigData Message | @BigDataExpo #Analytics #DigitalTransformation
This is a short blog with a harsh message for Big Data vendors.
Camera fades in to Pastor Schmarzo heading to the pulpit…
What does the future hold for today’s big data vendors? Hundreds of startups are rushing into the big data market to stake their claim to a market that IDC predicts will reach $187 billion by 2019. Dang, that’s a big market, especially considering that the Global Business Intelligence market will only reach a trifling $20.8 billion by 2018 or the long-running ERP applications market is expected to reach a trivial $84.1 billion by 2020. Yes, the big data market opportunity is very exciting indeed!
[session] #IoT and Transportation | @ThingsExpo @JAdP #M2M #Sensors
In past @ThingsExpo presentations, Joseph di Paolantonio has explored how various Internet of Things (IoT) and data management and analytics (DMA) solution spaces will come together as sensor analytics ecosystems. This year, in his session at @ThingsExpo, Joseph di Paolantonio from DataArchon, will be adding the numerous Transportation areas, from autonomous vehicles to “Uber for containers.” While IoT data in any one area of Transportation will have a huge impact in that area, combining sensor analytics from these different areas will impact government, industry, retail and other processes, as well as life-style choices.
[session] #DevOps in the #API Economy | @DevOpsSummit @CAinc #IoT #ML #CD
Today every business relies on software to drive the innovation necessary for a competitive edge in the Application Economy. This is why collaboration between development and operations, or DevOps, has become IT’s number one priority. Whether you are in Dev or Ops, understanding how to implement a DevOps strategy can deliver faster development cycles, improved software quality, reduced deployment times and overall better experiences for your customers.
Sensor Analytics Ecosystems | @ThingsExpo @JAdP #IoT #IIoT #M2M #API
The Internet of Things (IoT), in all its myriad manifestations, has great potential. Much of that potential comes from the evolving data management and analytic (DMA) technologies and processes that allow us to gain insight from all of the IoT data that can be generated and gathered. This potential may never be met as those data sets are tied to specific industry verticals and single markets, with no clear way to use IoT data and sensor analytics to fulfill the hype being given the IoT today.
Personalization in #IoT | @ThingsExpo @Adobe @Kevlindsay #DigitalMarketing
More and more brands have jumped on the IoT bandwagon. We have an excess of wearables – activity trackers, smartwatches, smart glasses and sneakers, and more that track seemingly endless datapoints. However, most consumers have no idea what “IoT” means. Creating more wearables that track data shouldn’t be the aim of brands; delivering meaningful, tangible relevance to their users should be.
We’re in a period in which the IoT pendulum is still swinging. Initially, it swung toward «smart for smart’s sake,» and many brands remain in that corner. But many brands are also gradually opting for more strategic approaches. They’re taking a breath and stepping back to examine both existing and potential IoT experiences, asking themselves whether their products lend real value. Once we reach this goal, the implications for personalization are staggering. Consumers will expect devices they use and items they wear to be connected and add value to their lives. We’ll expect scales to weigh us, assess our body fat, and sync with our mobile device for personalized recommendations. Connected devices will be just another touchpoint in our increasingly digital lives. As a result, we’ll have the data, personalized touchpoints, and context to achieve great success with spot-on relevance that continues to evolve.
Testing #WebRTC Services | @ThingsExpo #IoT #M2M #API #RTC #UCaaS
WebRTC sits at the intersection between VoIP and the Web. As such, it poses some interesting challenges for those developing services on top of it, but also for those who need to test and monitor these services.
In his session at WebRTC Summit, Tsahi Levent-Levi, co-founder of testRTC, reviewed the various challenges posed by WebRTC when it comes to testing and monitoring and on ways to overcome them.
Geek Quiz #DevOps Challenge By @Catchpoint | @DevOpsSummit #Docker #CD
So you think you are a DevOps warrior, huh? Put your money (not really, it’s free) where your metrics are and prove it by taking The Ultimate DevOps Geek Quiz Challenge, sponsored by DevOps Summit. Battle through the set of tough questions created by industry thought leaders to earn your bragging rights and win some cool prizes.
The #IoT and #Analytics | @ThingsExpo #BigData #BI #AI #MachineLearning
The Internet of Things (IoT) promises to change everything by enabling “smart” environments (homes, cities, hospitals, schools, stores, etc.) and smart products (cars, trucks, airplanes, trains, wind turbines, lawnmowers, etc.). I recently wrote about the importance of moving beyond “connected” to “smart” in a blog titled “Internet of Things: Connected Does Not Equal Smart”. The article discusses the importance of moving beyond just collecting the data, to transitioning to leveraging this new wealth of IoT data to improve the decisions that these smart environments and products need to make: to help these environments and products to self-monitor, self-diagnose and eventually, self-direct.
The post The Internet of Things (IoT) and Analytics at The Edge appeared first on InFocus.
IoT ID Management and #WebRTC | @ThingsExpo #IoT #M2M #RTC #UCaaS
We are reaching the end of the beginning with WebRTC, and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) irreversibly encoded.
In his session at @ThingsExpo, Peter Dunkley, Technical Director at Acision, looked at how this identity problem can be solved and discussed ways to use existing web identities for real-time communication.