Two weeks ago, I compiled a list of the 5 jobs robots will take first. Last week, I compiled a list of the 5 jobs robots will take last. Both previous essays are about robots replacing human workers who do cognitive nonrepetitive work (such as middle managers, salespersons, tax accountants, and report writers) that most people do not believe robots will be able to do any time soon. For those essays, I defined robots as technologies, such as machine learning algorithms running on purpose-built computer platforms, that have been trained to perform tasks that currently require humans to perform.
All organizations that did not originate this moment have a pre-existing culture as well as legacy technology and processes that can be more or less amenable to DevOps implementation. That organizational culture is influenced by the personalities and management styles of Executive Management, the wider culture in which the organization is situated, and the personalities of key team members at all levels of the organization. This culture and entrenched interests usually throw a wrench in the works because of misaligned incentives.
Cloud platforms like Azure provide the best options for organizations in their digital transformation. Most organizations have multiple combination of environment needs. Provisioning on time is always a challenge. Manual operations are prone to error and delays. Difficult to size production like Environments due to resource constraints, this means most NFR (Non Functional Requirements) are not tested with the correct load and perspective.
Over the past few years, IT service management (ITSM) has become increasingly important to an organization's IT strategy, and companies are seeking new ways to improve IT service delivery and efficiency via better ITSM processes. This increases the importance of tracking and measuring critical KPIs. However, due to overwhelmingly large amounts of data, users find it challenging to manually access, track and analyze critical help desk information quickly. Using advanced IT analytics, managers can identify blind spots and hidden gaps in their ITSM process as well as make accurate decisions by monitoring key metrics.
There are 66 million network cameras capturing terabytes of data. How did factories in Japan improve physical security at the facilities and improve employee productivity? Edge Computing reduces possible kilobytes of data collected per second to only a few kilobytes of data transmitted to the public cloud every day. Data is aggregated and analyzed close to sensors so only intelligent results need to be transmitted to the cloud. Non-essential data is recycled to optimize storage.
There is no more effective way to reduce your overall test environment spend than to migrate to cloud test environments and embrace testing and infrastructure automation. The nature of test environments is inherently temporary—you set up an environment, run through an automated test suite, and then tear down the environment. If you can reduce the cycle time for this process down to hours or minutes, then you may be able to cut your test environment budgets considerably.
The rolling thunder of digital transformation waits for no business. It will make short work of any organization that does not evolve rapidly. CEOs must quickly define where their organizations can compete for success and lead them on that journey. If they can’t—or won’t—change, they risk fading away like the slow-moving dinosaurs confronted with a habitat-destroying meteor. Leading analyst Gartner forecasts that 8.4 billion connected things will be in use worldwide in 2017, up 31 percent from 2016, and will reach 20.4 billion by 2020. There is already $1.9 trillion dollars’ worth of economic value related to the sale and usage of IoT technology.
In his session at @DevOpsSummit at 20th Cloud Expo, Kelly Looney, director of DevOps consulting for Skytap, will will show how an incremental approach to introducing containers into complex, distributed applications results in modernization with less risk and more reward. He will share the story of how Skytap used Docker to get out of the business of managing infrastructure, and into the business of delivering innovation and business value. Attendees will learn how up-front planning allows for a clean separation between infrastructure, platform, and service concerns.
There is no denying the Internet of Things (IoT) is a hot topic. Gartner positions IoT as being at the peak of the ‘hype cycle.’ From a size perspective, these ‘Things’ can be anything, from a small sensor to a large appliance, and everything in between. The data transmitted by these devices, for the most part, tends to be small – tiny packets of information destined for consumption and analysis, bringing value to the business.
In the last few decades we have had a front row seat to witness the evolution of devices that generate and consume information on the internet. The format, frequency and methodology information flow between devices has also changed. You do not have to be developer to notice that the dream of ‘intelligent agents' in the original vision of Tim Berners Lee for Web 3.0 has been slowly shaping into reality. I noticed this initially during the evolution of Facebook from static pages to a more ‘real-time' application that serves the latest and greatest content as soon as it's added or uploaded. This trend further evolved into even more real-time information on our smart-phones and is now reaching the stage when each and every device is capable of providing real-time updates to each other within milliseconds. Furthermore, distinguishing a device as a client or a server is increasingly becoming hard and paradigms like peer to peer, multicast communication have taking root and are thriving.
Functional monitoring is the process of looking at the functionality offered by a single application or by a distributed system. It aims at the process of assessing the availability and functionality of the use cases of the system. It checks that the system is capable of giving desired functionality or not. Therefore It ensures that the purpose of the application is fulfilled without any malfunctioning. The functional monitoring is the middle layer of the monitoring process. In monitoring process, the low level is Technical monitoring and the Business Process monitoring is the higher level monitoring. If we take an example of an organization then we see that most of the work is done by human rather than robots. They include people in some housekeeping works. Functional monitoring is performed automatically using some scripts or machine. It is usually performed by employing robots to execute scripted operations on a system. As we know no one is perfect in this world and of course, we are human. So, We can’t do any work with 100% perfection. At this point of time, we need machines or robots to do this.
Cloud usage continues to gain momentum across all industries. In a recent FutureScape: Worldwide Cloud 2017 Predictions report, IDC predicted that between 60 percent and 70 percent of all software, services and technology spending will be on the cloud by 2020. With this increase in cloud usage comes a corresponding need for employees with cloud skills. Supply has not kept pace with demand, however. The State of Cloud Readiness Study 2016 found that 53 percent of IT leaders are struggling to acquire the necessary skills to support cloud initiatives within their organizations, while almost half indicate staff training is not a priority.
Your homes and cars can be automated and self-serviced. Why can't your storage? From simply asking questions to analyze and troubleshoot your infrastructure, to provisioning storage with snapshots, recovery and replication, your wildest sci-fi dream has come true. In his session at @DevOpsSummit at 20th Cloud Expo, Dan Florea, Director of Product Management at Tintri, will provide a ChatOps demo where you can talk to your storage and manage it from anywhere, through Slack and similar services with Tintri's web services architecture and APIs. Impress your DevOps team with smart and autonomous infrastructure.
We all know the story: a farm, a kid, a Commodore 64, and a modem maxing out at 300 bps. A few unexpected phone bills later, and young Ian Allison is figuring out how to game the system so he can keep using his newfound gateway to the world of tech. According to Ian, that is where he began building the foundation of skills for his career in computer security. At the recent All Day DevOps conference, Ian (@iallison), now with Intuit, talked about his history of being "that" security guy. You know, the one who thinks developers don't care about security or deadlines, and, really, are just plain "stupid." But, don't worry, he is enlightened now and realizes that we all have the same goal - everyone wants to build a secure system.
Ransomware attacks escalated dramatically in 2016. In fact, there was a 300 percent increase in ransomware attacks last year, according to the FBI, to an average of 4,000 attacks a day, up from 1,000 ransomware attacks a day in 2015. What’s more, organizations are targeted more frequently than individuals because they generate a much bigger potential payoff. Ransomware has become a profitable criminal enterprise that continues to change and grow.
Part 3 of my IoT series is finally here, and it's like Christmas in more ways than one! I have decided to move to video for my updates for the series, and the first video entry is ready. We will be looking at the kit I purchased to build my IoT rig at home, and show you the parts you need to get started on yours if you are interested. Enjoy the video!
The modern software development landscape consists of best practices and tools that allow teams to deliver software in a near-continuous manner. By adopting a culture of automation, measurement and sharing, the time to ship code has been greatly reduced, allowing for shorter release cycles and quicker feedback from customers and users. Still, with all of these tools and methods, how can teams stay on top of what is taking place across their infrastructure and codebase? Hopping between services and command line interfaces creates context-switching that slows productivity, efficiency, and may lead to early burnout.
Can a better UX simultaneously deliver a worse user experience? It sounds like a paradox, but it may be more common than you think. It describes a category of UX design practices that have little to do with improving the actual experience and everything to do with suggesting that the experience is a good one. The difference can be subtle, but true user experience improvement begins with precision application performance optimization that only an APM solution can provide. APM diagnoses the cause of a slowdown, allowing developers to address the root cause and not the surface symptoms. Ignoring the underlying performance bottlenecks and tricking the user with a UI bandaid is akin to placing tape over a crack in your drywall — you’re only covering up the symptom of an underlying problem. That’s the difference between improving the quality of the software and generating economic waste for short term gains.
SYS-CON Events announced today that Tintri, Inc, a leading provider of enterprise cloud infrastructure, will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Tintri offers an enterprise cloud platform built with public cloud-like web services and RESTful APIs. Organizations use Tintri all-flash storage with scale-out and automation as a foundation for their own clouds – to build agile development environments for cloud native applications and to run mission-critical enterprise applications. Only Tintri enables organizations to guarantee the performance of their applications, automate common IT tasks to reduce operating expenses, troubleshoot across their infrastructure, and predict their needs to scale – the underpinnings of a modern data center.
In today’s globally connected world, data security breaches are bound to occur. This, in turn, increases the importance of digital forensic readiness, or the ability to access and trust computer log data in the identification of a breach and the determination of what datasets may have been compromised. As organizations rapidly move into the cloud, the complexities of this multi-jurisdictional and multi-tenancy environment has made the importance of cloud forensics even more pronounced. This reality has also drastically heightened the legal risk associated with information technology operations. Cloud and digital forensics readiness are therefore critical to business disaster recovery, continuity of business services and cloud ecosystem management.
IBM Cloud is now providing developers with the infrastructure and portal to a 5 qubit quantum computer. This equips them with the ability to build interfaces between classic computers and IBM's quantum platform. Quantum computers make direct use of quantum-mechanical phenomena, such as superposition and entanglement to perform operations on data. Quantum computers are different from binary digital electronic computers based on transistors. Whereas common digital computing requires that the data be encoded into binary digits (bits), each of which is always in one of two definite states (0 or 1), quantum computation uses quantum bits, which can be in superpositions of states.
vdiconImagine not having to carry around a laptop or be sitting in a cubicle to access your work desktop applications. Virtual desktop infrastructure (VDI) is appealing to many different constituencies because it combines the benefits of anywhere access with desktop support improvements. Employees typically use a wide range of mobile devices from laptops to tablets and from desktops to smartphones are being used. The diversity of these mobile devices and the sheer number of them in the workplace can overwhelm IT and strain your resources.
In his session at 20th Cloud Expo, Scott Davis, CTO of Embotics, will discuss how automation can provide the dynamic management required to cost-effectively deliver microservices and container solutions at scale. He will discuss 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.
"I think that everyone recognizes that for IoT to really realize its full potential and value that it is about creating ecosystems and marketplaces and that no single vendor is able to support what is required," explained Esmeralda Swartz, VP, Marketing Enterprise and Cloud at Ericsson, in this SYS-CON.tv interview at @ThingsExpo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Now that the world has connected “things,” we need to build these devices as truly intelligent in order to create instantaneous and precise results. This means you have to do as much of the processing at the point of entry as you can: at the edge. The killer use cases for IoT are becoming manifest through AI engines on edge devices. An autonomous car has this dual edge/cloud analytics model, producing precise, real-time results. In his session at @ThingsExpo, John Crupi, Vice President and Engineering System Architect at Greenwave Systems, will discuss how as more smart, AI-enabled “things” operate at the edges of our networks, we’ll see things moving beyond being connected and into actively embodying intelligence.