Internet-of-Things discussions can end up either going down the consumer gadget rabbit hole or focused on the sort of data logging that industrial manufacturers have been doing forever. However, in fact, companies today are already using IoT data both to optimize their operational technology and to improve the experience of customer interactions in novel ways. In his session at @ThingsExpo, Gordon Haff, Red Hat Technology Evangelist, shared examples from a wide range of industries – including energy, transportation, and retail – of using IoT to create new business opportunities and improve efficiency.
In the blog “From Autonomous to Smart: Importance of Artificial Intelligence,” we discussed the two critical artificial intelligence (AI) challenges in creating “smart” edge devices: Artificial Intelligence Challenge #1: How do the Artificial Intelligence algorithms handle the unexpected, such as flash flooding, terrorist attacks, earthquakes, tornadoes, police car chases, emergency vehicles, blown tires, a child chasing a ball into the street, etc.?
SYS-CON Events announced today that Golden Gate University will exhibit at 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. Since 1901, non-profit Golden Gate University (GGU) has been helping adults achieve their professional goals by providing high quality, practice-based undergraduate and graduate educational programs in law, taxation, business and related professions. Many of its courses are taught by faculty actively working in their field of expertise, providing students with skills that can be applied immediately. The new MS in Business Analytics, like most of its programs, is available fully online or in-person in downtown SF.
Given the popularity of the containers, further investment in the telco/cable industry is needed to transition existing VM-based solutions to containerized cloud native deployments. The networking architecture of the solution isolates the network traffic into different network planes (e.g., management, control, and media). This naturally makes support for multiple interfaces in container orchestration engines an indispensable requirement.
yperConvergence came to market with the objective of being simple, flexible and to help drive down operating expenses. It reduced the footprint by bundling the compute/storage/network into one box. This brought a new set of challenges as the HyperConverged vendors are very focused on their own proprietary building blocks. If you want to scale in a certain way, let’s say you identified a need for more storage and want to add a device that is not sold by the HyperConverged vendor, forget about it. This meant that up to now the HyperConverged vendors were in charge of the requirements.
In his session at 20th Cloud Expo, Scott Davis, CTO of Embotics, discussed how automation can provide the dynamic management required to cost-effectively deliver microservices and container solutions at scale. He also discussed how flexible automation is the key to effectively bridging and seamlessly coordinating both IT and developer needs for component orchestration across disparate clouds – an increasingly important requirement at today’s multi-cloud enterprise.
A few years ago, if you would have asked me to define DevOps, my answer would have sounded something like “Mumble mumble automation, mumble, automation, mumble mumble, infrastructure-as-code, mumble mumble, strategery.” Thinking that DevOps equated to automation had mostly to do with the fact that most of the DevOps people I talked to and articles I read really only spoke about automation with only indirect references to anything else.
With the wave of personal assistants, such as Siri, Cortana and Google Assistant, and new startups leveraging AI and analytics to build personal companions, it’s becoming clear we are moving toward a new voice-controlled relationship with technology. As we have already seen in the consumer market, it is all but a given that these voice-activation systems will eventually make it into the enterprise environment, as the potential benefits of these systems could be tremendous in simplifying and automating activities. Although it may be a long time before we see the full likenesses of “HAL” from “2001: A Space Odyssey”, the technology is already here that can improve the ways businesses operate.
Web services have taken the development world by storm, especially in recent years as they've become more and more widely adopted. There are naturally many reasons for this, but first, let's understand what exactly a web service is. The World Wide Web Consortium (W3C) defines "web of services" as "message-based design frequently found on the Web and in enterprise software". Basically, a web service is a method of sending a message between two devices through a network. In practical terms, this translates to an application which outputs communication in a standardized format for other client applications to receive and act on.
As businesses adopt functionalities in cloud computing, it’s imperative that IT operations consistently ensure cloud systems work correctly – all of the time, and to their best capabilities. In his session at @BigDataExpo, Bernd Harzog, CEO and founder of OpsDataStore, presented an industry answer to the common question, “Are you running IT operations as efficiently and as cost effectively as you need to?” He then expounded on the industry issues he frequently came up against as an analyst, and how this led him to found OpsDataStore. He also discussed how data-driven IT operations will save money, and detect trends and patterns that precede actual problems by allowing never-before-seen transparency into the IT stack.
Enterprise architects are increasingly adopting multi-cloud strategies as they seek to utilize existing data center assets, leverage the advantages of cloud computing and avoid cloud vendor lock-in. This requires a globally aware traffic management strategy that can monitor infrastructure health across data centers and end-user experience globally, while responding to control changes and system specification at the speed of today’s DevOps teams. In his session at 20th Cloud Expo, Josh Gray, Chief Architect at Cedexis, covered strategies for orchestrating global traffic achieving the highest-quality end-user experience while spanning multiple clouds and data centers and reacting at the velocity of modern development teams.
Because IoT devices are deployed in mission-critical environments more than ever before, it’s increasingly imperative they be truly smart. IoT sensors simply stockpiling data isn’t useful. IoT must be artificially and naturally intelligent in order to provide more value In his session at @ThingsExpo, John Crupi, Vice President and Engineering System Architect at Greenwave Systems, will discuss how IoT artificial intelligence (AI) can be carried out via edge analytics and machine learning technologies that enable things to process event data at the source, learn patterns of behavior over time for taking independent action, and deliver more accurate results in real-time. This opens the door to limitless possibilities, enabling businesses to make better decisions with far less effort.
Blockchain is a shared, secure record of exchange that establishes trust, accountability and transparency across business networks. Supported by the Linux Foundation's open source, open-standards based Hyperledger Project, Blockchain has the potential to improve regulatory compliance, reduce cost as well as advance trade. Are you curious about how Blockchain is built for business? In her session at 21st Cloud Expo, René Bostic, Technical VP of the IBM Cloud Unit in North America, will discuss the basics of Blockchain, preview the Blockchain Reference Architecture, and introduce the mechanics of a Blockchain Business Network.
In his session at @ThingsExpo, Arvind Radhakrishnen discussed how IoT offers new business models in banking and financial services organizations with the capability to revolutionize products, payments, channels, business processes and asset management built on strong architectural foundation. The following topics were covered: How IoT stands to impact various business parameters including customer experience, cost and risk management within BFS organizations.
In the blog “From Autonomous to Smart: Importance of Artificial Intelligence,” we discussed the two critical artificial intelligence (AI) challenges in creating “smart” edge devices: Artificial Intelligence Challenge #1: How do the Artificial Intelligence algorithms handle the unexpected, such as flash flooding, terrorist attacks, earthquakes, tornadoes, police car chases, emergency vehicles, blown tires, a child chasing a ball into the street, etc.?
Technology has a well-deserved reputation for creating and then promoting digital trends, some of which are aligned to real change, while many are more hype than reality. A few examples of real trends that have shaped technology delivery over the past few years include the rise of Agile and Cloud. Both deliver benefits across a broad set of industries and companies.
When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be looking at some significant engineering investment. On-demand, serverless computing enables developers to try out a fleet of devices on IoT gateways with ease. With a sensor simulator built on top of AWS Lambda, it’s possible to elastically generate device sensors that report their state to the cloud.
In his session at 20th Cloud Expo, Scott Davis, CTO of Embotics, discussed how automation can provide the dynamic management required to cost-effectively deliver microservices and container solutions at scale. He also discussed how flexible automation is the key to effectively bridging and seamlessly coordinating both IT and developer needs for component orchestration across disparate clouds – an increasingly important requirement at today’s multi-cloud enterprise.
HyperConvergence came to market with the objective of being simple, flexible and to help drive down operating expenses. It reduced the footprint by bundling the compute/storage/network into one box. This brought a new set of challenges as the HyperConverged vendors are very focused on their own proprietary building blocks. If you want to scale in a certain way, let's say you identified a need for more storage and want to add a device that is not sold by the HyperConverged vendor, forget about it. This meant that up to now the HyperConverged vendors were in charge of the requirements.
WebRTC is great technology to build your own communication tools. It will be even more exciting experience it with advanced devices, such as a 360 Camera, 360 microphone, and a depth sensor camera. In his session at @ThingsExpo, Masashi Ganeko, a manager at INFOCOM Corporation, will introduce two experimental projects from his team and what they learned from them. "Shotoku Tamago" uses the robot audition software HARK to track speakers in 360 video of a remote party. "Virtual Teleport" uses a multiple Intel RealSense Depth Camera to scan 3D and build 3D models in real-time, and display as hologram in front of remote participants.
How can an organization with decades worth of accumulated ERP customizations and configurations, IT systems and customized software applications digitally transform fast enough to keep up with the rapidly changing behaviors of digital customers? That is a hard question most organizations are wrestling with today. Often complex custom IT environments served a purpose in a past era, but today where IT speed and agility are required, they serve as anchors restraining an organization from moving forward and digitally transforming fast enough to compete.
A few years ago, if you would have asked me to define DevOps, my answer would have sounded something like “Mumble mumble automation, mumble, automation, mumble mumble, infrastructure-as-code, mumble mumble, strategery.” Thinking that DevOps equated to automation had mostly to do with the fact that most of the DevOps people I talked to and articles I read really only spoke about automation with only indirect references to anything else.
DevOps is under attack because developers don’t want to mess with infrastructure. They will happily own their code into production, but want to use platforms instead of raw automation. That’s changing the landscape that we understand as DevOps with both architecture concepts (CloudNative) and process redefinition (SRE). Rob Hirschfeld’s recent work in Kubernetes operations has led to the conclusion that containers and related platforms have changed the way we should be thinking about DevOps and controlling infrastructure. The rise of Site Reliability Engineering (SRE) is part of that redefinition of operations vs development roles in organizations.
Because IoT devices are deployed in mission-critical environments more than ever before, it’s increasingly imperative they be truly smart. IoT sensors simply stockpiling data isn’t useful. IoT must be artificially and naturally intelligent in order to provide more value In his session at @ThingsExpo, John Crupi, Vice President and Engineering System Architect at Greenwave Systems, will discuss how IoT artificial intelligence (AI) can be carried out via edge analytics and machine learning technologies that enable things to process event data at the source, learn patterns of behavior over time for taking independent action, and deliver more accurate results in real-time. This opens the door to limitless possibilities, enabling businesses to make better decisions with far less effort.
Docker is on a roll. In the last few years, this container management service has become immensely popular in development, especially given the great fit with agile-based projects and continuous delivery. In this article, I want to take a brief look at how you can use Docker to accelerate and streamline the software development lifecycle (SDLC) process.