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.
SCOPE is an acronym for Structured Computations Optimized for Parallel Execution, a declarative language for working with large-scale data. It is still under development at Microsoft. If you know SQL then working with SCOPE will be quite easy as SCOPE builds on SQL. The execution environment is different from that RDBMS oriented data. Data is still modeled as rows. Every row has typed columns and eveyr rowset has a well-defined schema. There is a SCOPe compiler that comes up with optimized execution plan and a runtime execution plan.
In my last post, I wrote about the value of IT / business collaboration, and the importance of a common language, a common definition of end-user experience – user transaction response time – as the one performance metric both IT and business have in common. In it, I provided some background on the importance of understanding exactly how we define response time, since this definition dictates the usefulness of the measurement. For the sake of brevity, I’ll summarize three common definitions here:
Chris Van Tuin, Chief Technologist for the Western US at Red Hat, has over 20 years of experience in IT and Software. Since joining Red Hat in 2005, he has been architecting solutions for strategic customers and partners with a focus on emerging technologies including IaaS, PaaS, and DevOps. He started his career at Intel in IT and Managed Hosting followed by leadership roles in services and sales engineering at Loudcloud and Linux startups.
The IoT market is on track to hit $7.1 trillion in 2020. The reality is that only a handful of companies are ready for this massive demand. There are a lot of barriers, paint points, traps, and hidden roadblocks. How can we deal with these issues and challenges? The paradigm has changed. Old-style ad-hoc trial-and-error ways will certainly lead you to the dead end. What is mandatory is an overarching and adaptive approach to effectively handle the rapid changes and exponential growth.
The buzz continues for cloud, data analytics and the Internet of Things (IoT) and their collective impact across all industries. But a new conversation is emerging - how do companies use industry disruption and technology enablers to lead in markets undergoing change, uncertainty and ambiguity? Organizations of all sizes need to evolve and transform, often under massive pressure, as industry lines blur and merge and traditional business models are assaulted and turned upside down. In this new data-driven world, marketplaces reign supreme while interoperability, APIs and applications deliver unique customer value for new go-to-market models based on a cloud and IoT way of working. Analytics, IoT service mashups, fail fast business models and contextual data streams enable data to become the new currency for digital citizens and businesses and will determine business success or failure.
The Internet of Things (IoT) is growing rapidly by extending current technologies, products and networks. By 2020, Cisco estimates there will be 50 billion connected devices. Gartner has forecast revenues of over $300 billion, just to IoT suppliers. Now is the time to figure out how you’ll make money – not just create innovative products. With hundreds of new products and companies jumping into the IoT fray every month, there’s no shortage of innovation. Despite this, McKinsey/VisionMobile data shows "less than 10 percent of IoT developers are making enough to support a reasonably sized team.”
Today’s connected world is moving from devices towards things, what this means is that by using increasingly low cost sensors embedded in devices we can create many new use cases. These span across use cases in cities, vehicles, home, offices, factories, retail environments, worksites, health, logistics, and health. These use cases rely on ubiquitous connectivity and generate massive amounts of data at scale. These technologies enable new business opportunities, ways to optimize and automate, along with new ways to engage with users.
Any Ops team trying to support a company in today’s cloud-connected world knows that a new way of thinking is required – one just as dramatic than the shift from Ops to DevOps. The diversity of modern operations requires teams to focus their impact on breadth vs. depth. In his session at DevOps Summit, Adam Serediuk, Director of Operations at xMatters, Inc., will discuss the strategic requirements of evolving from Ops to DevOps, and why modern Operations has begun leveraging the “NoOps” approach. NoOps enables developers to deploy, manage, and scale their own code, creating an infrastructure that minimizes bottlenecks in key processes.
There are many considerations when moving applications from on-premise to cloud. It is critical to understand the benefits and also challenges of this migration. A successful migration will result in lower Total Cost of Ownership, yet offer the same or higher level of robustness. Migration to cloud shifts computing resources from your data center, which can yield significant advantages provided that the cloud vendor an offer enterprise-grade quality for your application.
Latest figures from the Cloud Industry Forum (CIF) indicate that cloud adoption is at its highest figure to date, with 78 per cent of organisations now having formally adopted at least one type of cloud-based service. TechNavio echoes this surge and in particular the surge in growth of Disaster-Recovery-as-a-Service, forecasting a compound annual growth rate of 54.64 per cent between 2014 and 2018. However, despite the striking numbers and growth expectations there are still many IT professionals out there who have fears about adopting Disaster-Recovery-as-a-Service.
Our guest on the podcast this week is Kohsuke Kawaguchi, Creator of Jenkins and CloudBees. We discuss highlights and takeaways from the CloudBees Jenkins User Conference, which emphasizes the strong community around Jenkins. Jenkins makes continuous delivery a strategic enabler because it changes the speed at which optimizations can reach users’ hands. We also get a preview of what we can expect with Tiger from CloudBees.
Canary launches are a best practice in continuous delivery, used by teams at Google, Amazon and LinkedIn. A canary launch is rolling out features to a small number of users to assess the overall system reaction. Canary releases allow software teams to produce better software, quicker. In his session at WebRTC Summit, John Kodumal, CTO and cofounder of LaunchDarkly, will discuss the benefits of canary launches, as well as how you can use canary launches in your own development life cycle.
I have three words for everyone in software testing: prioritize, prioritize, and prioritize. You can't test every possible permutation of your software, especially so with APIs and IoT devices where you're placing much of the user experience in the hands of integrators to your core products and services. You just can't, so we should throw our hands up now and just give up, right?
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 updates for IoT more problematic. How do you coordinate the diverse moving parts that must come together when your IoT product is updated?
Disaster recovery (DR) has traditionally been a major challenge for IT departments. Even with the advent of server virtualization and other technologies that have simplified DR implementation and some aspects of on-going management, it is still a complex and (often extremely) costly undertaking. For those applications that do not require high availability, but are still mission- and business-critical, the decision as to which [applications] to spend money on for true disaster recovery can be a struggle.
Ten years ago, there may have been only a single application that talked directly to the database and spit out HTML; customer service, sales - most of the organizations I work with have been moving toward a design philosophy more like unix, where each application consists of a series of small tools stitched together. In web example above, that likely means a login service combines with webpages that call other services - like enter and update record. That allows the customer service team to write their own tools using the web, the command line, scheduled, or any other interface. Sound too good to be true, doesn't it? It is true, but it comes at a cost. For example, I never defined a mechanism to manage the explosion of APIs that will result under this approach. Consider this: uncontrolled growth is one definition of cancer. Since the rapid creation of APIs is not quite so deadly, I will call this the API Sprawl; I've seen it across every client that moved to web-services approach, typically two to four years into conversion.
The APN DevOps Competency highlights APN Partners who demonstrate deep capabilities delivering continuous integration, continuous delivery, and configuration management. They help customers transform their business to be more efficient and agile by leveraging the AWS platform and DevOps principles.
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.
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 Azure Machine Learning, enabling you to invoke machine learning modules over streaming data to perform anomaly detection, classification, and other predictive analytics in real time.
SYS-CON Events announced today that Secure Infrastructure & Services 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. Secure Infrastructure & Services (SIAS) is a managed services provider of cloud computing solutions for the IBM Power Systems market. The company helps mid-market firms built on IBM hardware platforms to deploy new levels of reliable and cost-effective computing and high availability solutions, leveraging the cloud and the benefits of Infrastructure-as-a-Service (IaaS).
Ten years ago, there may have been only a single application that talked directly to the database and spit out HTML; customer service, sales - most of the organizations I work with have been moving toward a design philosophy more like unix, where each application consists of a series of small tools stitched together. In web example above, that likely means a login service combines with webpages that call other services - like enter and update record. That allows the customer service team to write their own tools using the web, the command line, scheduled, or any other interface. Sound too good to be true, doesn't it? It is true, but it comes at a cost. For example, I never defined a mechanism to manage the explosion of APIs that will result under this approach. Consider this: uncontrolled growth is one definition of cancer. Since the rapid creation of APIs is not quite so deadly, I will call this the API Sprawl; I've seen it across every client that moved to web-services approach, typically two to four years into conversion.
Somebody call the buzzword police: we have a serious case of microservices-washing in progress. The term “microservices-washing” is derived from “whitewashing,” meaning to hide some inconvenient truth with bluster and nonsense. We saw plenty of cloudwashing a few years ago, as vendors and enterprises alike pretended what they were doing was cloud, even though it wasn’t. Today, the hype around microservices has led to the same kind of obfuscation, as vendors and enterprise technologists alike are saying they’re building microservices—even though a cursory look at what they’re really up to wouldn’t uncover a single one.
SYS-CON Events announced today that Key Information Systems, Inc. (KeyInfo), a leading cloud and infrastructure provider offering integrated solutions to enterprises, will exhibit at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. Key Information Systems is a leading regional systems integrator with world-class compute, storage and networking solutions and professional services for the most advanced software-defined data centers. These competencies are tightly complemented by a full suite of data center capabilities, including private and hybrid cloud offerings, connectivity services, colocation facilities and managed services.
SYS-CON Events announced today that VividCortex, the monitoring solution for the modern data system, will exhibit at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. The database is the heart of most applications, but it’s also the part that’s hardest to scale, monitor, and optimize even as it’s growing 50% year over year. VividCortex is the first unified suite of database monitoring tools specifically designed for today's large-scale, polyglot persistence tier, easing this pain for the entire IT department.