There's no shortage of material about DevOps on the Interwebs. But as you sift through mountains of information, it appears mostly skewed toward better and faster web and mobile app development. Look for details on how the thinking can be applied to the wicked world of data science or analytics and you'll be hard pressed to find much at all.
This seems odd, because a sustainable business isn't just carved out on the back of web and mobile apps. It's also dependent on intimately understanding customer data and pivoting towards the opportunities revealed - with yes, web and mobile apps.
It's not rocket science; it's data science, and web-scale companies understand it's fundamental for mega efficient business operations. It explains why Netflix has gone from stuffing DVDs through the mailbox to streaming their own shows, and how Amazon continues to redefine retail.
For most businesses the reality is quite different. Even though many consider themselves data-centric, they often struggle to get value from their data science initiatives. In part this might be explained by the ad-hoc nature of efforts, with new models only developed to support one-off projects. It might also be due to the massive amounts of effort needed to maintain and update these types of systems if they ever get deployed into the wild.
Blaming the tech, data or propeller heads is wrong. Today many businesses have mountains of data along with the scientists skilled in doing the math and building the analytical models.
They can even back this up with coding skills and have Big Data engineering teams laying down Kafka, Apache Spark and Hadoop-like technologies to deliver the number crunching grunt.
Yet problems still persist, with many businesses questioning the value of fragile analytics systems that need to be rebuilt every time a model changes. Worse still, any analysis that gets performed might deliver inconsistent results. If this leads to bad decision making, then data science can quickly become the organizational equivalent of snake oil.
The real reason behind these problems isn't tech or teams, it's the isolation of the data science and analytics function from IT development and engineering. Working alone, data science teams can find the right signal in all the data (even codify it), but lacking consistent access to production-like systems and test data means any results only get verified when a product goes live. When this eventually happens, these teams aren't set up to maintain or support them and can encounter stiff resistance from IT operations when systems are shown to be unreliable and fragile.
Faced with IT push-back, business units can of course be tempted to go it alone. This might be fine for a small one-off analytics project, but the cost and risk is prohibitive for the business as a whole if the result is application and code base disparity, overlapping or polluted datasets and complex infrastructure sprawl.
Worse than all the technology is the lost business opportunity. For fast and accurate decision making, businesses need teams, processes and technologies to become capable of supporting the continuous development, delivery, testing and refinement of analytical models that benefit the entire organization.
Of course this is all familiar to proponents of DevOps, where disparate application development teams and IT operations collaborate toward accelerating high-quality software services through a single high-speed process pipeline. Indeed, and as research such as Coleman Parkes' Accelerating Velocity and Customer Value with Agile and DevOps illustrates, advanced adopters use it to consistently outperform their competition.
This same kind of agility will be essential if data science and analytics is not only to become a viable function, but a powerful accelerant of digital value. To achieve this, companies should stop treating analytics as a piecemeal science experiment and start using it as a fully integrated business discipline. To this end, DevOps cross-functional processes and software can help, enabling data scientists, product teams, software development and IT operations to collaborate toward ensuring analytics fully deliver. One immediate beneficiary could be software engineering itself, where integrated customer-experience analytics and predictive modeling can provide valuable business insights into code effectiveness.
Data scientists will also benefit greatly from DevOps. By using automated test frameworks, test data management and service virtualization, analysts can prove or disprove their hypotheses well before production. Just as software developers can use these technologies to catch and remove code defects early, data scientists can use them to catch faulty models before they do any irreparable damage. They can also take advantage of proven agile development practices to release analytics software code and services in shorter cycles.
Benefits accrue when systems move to production. Here the domain knowledge, automation and scalable monitoring IT operations teams already provide can be leveraged. This includes automated release processing to rapidly deploy and split-test different versions of models into production, with monitoring services capturing functional and operability information and feeding it back into the development process.
These types of services are vital, because while a data science team might have many ‘eureka moments,' it's the automation that'll progress them beyond academic meanderings into a powerful and sustainable force for the business.
Ultimately, the success of a business will depend on how quickly and reliably business gains analytical insights from data. This won't happen in the lab, but when data science as a practice becomes industrialized and embraced by the entire organization.
By providing organizations a powerful framework upon which to build, test, deploy and monitor analytics as one continuous stream of value, DevOps can transform fractured data science into a repeatable business art form.
@DevOpsSummit at Cloud Expo taking place June 6-8, 2017, at Javits Center, New York City, and is co-located with the 20th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world.
DevOps at Cloud Expo / @ThingsExpo 2017 New York (June 6-8, 2017, Javits Center, Manhattan)
DevOps at Cloud Expo / @ThingsExpo 2017 Silicon Valley (October 31 - November 2, 2017, Santa Clara Convention Center, CA)
The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that produce software that is obsolete at launch. DevOps may be disruptive, but it is essential.
@DevOpsSummitwill expand the DevOps community, enable a wide sharing of knowledge, and educate delegates and technology providers alike. Recent research has shown that DevOps dramatically reduces development time, the amount of enterprise IT professionals put out fires, and support time generally. Time spent on infrastructure development is significantly increased, and DevOps practitioners report more software releases and higher quality. Sponsors of @DevOpsSummitwill benefit from unmatched branding, profile building and lead generation opportunities through:
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Sponsors of Cloud Expo / @ThingsExpo will benefit from unmatched branding, profile building and lead generation opportunities through:
Featured on-site presentation and ongoing on-demand webcast exposure to a captive audience of industry decision-makers
Showcase exhibition during our new extended dedicated expo hours
Breakout Session Priority scheduling for Sponsors that have been guaranteed a 35 minute technical session
Online targeted advertising in SYS-CON's i-Technology Publications
Capitalize on our Comprehensive Marketing efforts leading up to the show with print mailings, e-newsletters and extensive online media coverage
Unprecedented Marketing Coverage: Editorial Coverage on ITweetup to over 100,000 plus followers, press releases sent on major wire services to over 500 industry analysts
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All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.
With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo | @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.
Track 1. FinTech Track 2. Enterprise Cloud | Digital Transformation Track 3. DevOps, Containers & Microservices Track 4. Big Data | Analytics Track 5. Industrial IoT Track 6. IoT Dev & Deploy | Mobility Track 7. APIs | Cloud Security Track 8. AI | ML | DL | Cognitive Computing
Delegates to Cloud Expo / @ThingsExpo will be able to attend 8 simultaneous, information-packed education tracks.
There are over 120 breakout sessions in all, with Keynotes, General Sessions, and Power Panels adding to three days of incredibly rich presentations and content.
Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and 'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets.
Financial Technology - or FinTech - Is Now Part of the @CloudExpo Program!
Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.
Financial enterprises in New York City, London, Singapore, and other world financial capitals are embracing a new generation of smart, automated FinTech that eliminates many cumbersome, slow, and expensive intermediate processes from their businesses.
FinTech brings efficiency as well as the ability to deliver new services and a much improved customer experience throughout the global financial services industry. FinTech is a natural fit with cloud computing, as new services are quickly developed, deployed, and scaled on public, private, and hybrid clouds.
More than US$20 billion in venture capital is being invested in FinTech this year. @CloudExpo is pleased to bring you the latest FinTech developments as an integral part of our program, starting at the 20th International Cloud Expo June 6-8, 2017 in New York City and October 31 - November 2, 2017 in Silicon Valley.
The upcoming 20th International @CloudExpo | @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA announces that its Call For Papers for speaking opportunities is open.
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About SYS-CON Media & Events SYS-CON Media (www.sys-con.com) has since 1994 been connecting technology companies and customers through a comprehensive content stream - featuring over forty focused subject areas, from Cloud Computing to Web Security - interwoven with market-leading full-scale conferences produced by SYS-CON Events. The company's internationally recognized brands include among others Cloud Expo® (@CloudExpo), Big Data Expo®(@BigDataExpo), DevOps Summit (@DevOpsSummit), @ThingsExpo® (@ThingsExpo), Containers Expo (@ContainersExpo) and Microservices Expo (@MicroservicesE).
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About Pete Waterhouse Pete Waterhouse, Senior Strategist at CA Technologies, is a business technologist with 20+ years’ experience in development, strategy, marketing and executive management. He is a recognized thought leader, speaker and blogger – covering key trends such as DevOps, Mobility, Cloud and the Internet of Things.
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...
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform. In his session at @ThingsExpo, Craig Sproule, CEO of Metavine, demonstrated how to move beyond today's coding paradigm and shared the must-have mindsets for removing complexity from the develop...
Companies are harnessing data in ways we once associated with science fiction. Analysts have access to a plethora of visualization and reporting tools, but considering the vast amount of data businesses collect and limitations of CPUs, end users are forced to design their structures and systems with limitations. Until now. As the cloud toolkit to analyze data has evolved, GPUs have stepped in to massively parallel SQL, visualization and machine learning.
The next XaaS is CICDaaS. Why? Because CICD saves developers a huge amount of time. CD is an especially great option for projects that require multiple and frequent contributions to be integrated. But… securing CICD best practices is an emerging, essential, yet little understood practice for DevOps teams and their Cloud Service Providers. The only way to get CICD to work in a highly secure environment takes collaboration, patience and persistence. Building CICD in the cloud requires rigorous ar...
To get the most out of their data, successful companies are not focusing on queries and data lakes, they are actively integrating analytics into their operations with a data-first application development approach. Real-time adjustments to improve revenues, reduce costs, or mitigate risk rely on applications that minimize latency on a variety of data sources. In his session at @BigDataExpo, Jack Norris, Senior Vice President, Data and Applications at MapR Technologies, reviewed best practices to ...
Widespread fragmentation is stalling the growth of the IIoT and making it difficult for partners to work together. The number of software platforms, apps, hardware and connectivity standards is creating paralysis among businesses that are afraid of being locked into a solution.
EdgeX Foundry is unifying the community around a common IoT edge framework and an ecosystem of interoperable components.
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...
Large industrial manufacturing organizations are adopting the agile principles of cloud software companies.
The industrial manufacturing development process has not scaled over time. Now that design CAD teams are geographically distributed, centralizing their work is key. With large multi-gigabyte projects, outdated tools have stifled industrial team agility, time-to-market milestones, and impacted P&L stakeholders.
Enterprises are adopting Kubernetes to accelerate the development and the delivery of cloud-native applications. However, sharing a Kubernetes cluster between members of the same team can be challenging. And, sharing clusters across multiple teams is even harder.
Kubernetes offers several constructs to help implement segmentation and isolation. However, these primitives can be complex to understand and apply. As a result, it’s becoming common for enterprises to end up with several clusters. Thi...
In his session at 21st Cloud Expo, James Henry, Co-CEO/CTO of Calgary Scientific Inc., introduced you to the challenges, solutions and benefits of training AI systems to solve visual problems with an emphasis on improving AIs with continuous training in the field. He explored applications in several industries and discussed technologies that allow the deployment of advanced visualization solutions to the cloud.
The question before companies today is not whether to become intelligent, it’s a question of how and how fast. The key is to adopt and deploy an intelligent application strategy while simultaneously preparing to scale that intelligence. In her session at 21st Cloud Expo, Sangeeta Chakraborty, Chief Customer Officer at Ayasdi, provided a tactical framework to become a truly intelligent enterprise, including how to identify the right applications for AI, how to build a Center of Excellence to oper...
In his session at 21st Cloud Expo, Carl J. Levine, Senior Technical Evangelist for NS1, will objectively discuss how DNS is used to solve Digital Transformation challenges in large SaaS applications, CDNs, AdTech platforms, and other demanding use cases. Carl J. Levine is the Senior Technical Evangelist for NS1. A veteran of the Internet Infrastructure space, he has over a decade of experience with startups, networking protocols and Internet infrastructure, combined with the unique ability to it...
"Cloud Academy is an enterprise training platform for the cloud, specifically public clouds. We offer guided learning experiences on AWS, Azure, Google Cloud and all the surrounding methodologies and technologies that you need to know and your teams need to know in order to leverage the full benefits of the cloud," explained Alex Brower, VP of Marketing at Cloud Academy, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clar...
Gemini is Yahoo’s native and search advertising platform. To ensure the quality of a complex distributed system that spans multiple products and components and across various desktop websites and mobile app and web experiences – both Yahoo owned and operated and third-party syndication (supply), with complex interaction with more than a billion users and numerous advertisers globally (demand) – it becomes imperative to automate a set of end-to-end tests 24x7 to detect bugs and regression.
Agile has finally jumped the technology shark, expanding outside the software world. Enterprises are now increasingly adopting Agile practices across their organizations in order to successfully navigate the disruptive waters that threaten to drown them. In our quest for establishing change as a core competency in our organizations, this business-centric notion of Agile is an essential component of Agile Digital Transformation.
In the years since the publication of the Agile Manifesto, the conn...
High-velocity engineering teams are applying not only continuous delivery processes, but also lessons in experimentation from established leaders like Amazon, Netflix, and Facebook. These companies have made experimentation a foundation for their release processes, allowing them to try out major feature releases and redesigns within smaller groups before making them broadly available.
In his session at 21st Cloud Expo, Brian Lucas, Senior Staff Engineer at Optimizely, discussed how by using ne...
Vulnerability management is vital for large companies that need to secure containers across thousands of hosts, but many struggle to understand how exposed they are when they discover a new high security vulnerability. In his session at 21st Cloud Expo, John Morello, CTO of Twistlock, addressed this pressing concern by introducing the concept of the “Vulnerability Risk Tree API,” which brings all the data together in a simple REST endpoint, allowing companies to easily grasp the severity of the ...
While some developers care passionately about how data centers and clouds are architected, for most, it is only the end result that matters. To the majority of companies, technology exists to solve a business problem, and only delivers value when it is solving that problem. 2017 brings the mainstream adoption of containers for production workloads.
In his session at 21st Cloud Expo, Ben McCormack, VP of Operations at Evernote, discussed how data centers of the future will be managed, how the p...
"NetApp is known as a data management leader but we do a lot more than just data management on-prem with the data centers of our customers. We're also big in the hybrid cloud," explained Wes Talbert, Principal Architect at NetApp, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Data scientists must access high-performance computing resources across a wide-area network. To achieve cloud-based HPC visualization, researchers must transfer datasets and visualization results efficiently.
HPC clusters now compute GPU-accelerated visualization in the cloud cluster. To efficiently display results remotely, a high-performance, low-latency protocol transfers the display from the cluster to a remote desktop. Further, tools to easily mount remote datasets and efficiently transfer...
Enterprises are moving to the cloud faster than most of us in security expected. CIOs are going from 0 to 100 in cloud adoption and leaving security teams in the dust. Once cloud is part of an enterprise stack, it’s unclear who has responsibility for the protection of applications, services, and data.
When cloud breaches occur, whether active compromise or a publicly accessible database, the blame must fall on both service providers and users.
In his session at 21st Cloud Expo, Ben Johnson, C...
It is of utmost importance for the future success of WebRTC to ensure that interoperability is operational between web browsers and any WebRTC-compliant client. To be guaranteed as operational and effective, interoperability must be tested extensively by establishing WebRTC data and media connections between different web browsers running on different devices and operating systems.
In his session at WebRTC Summit at @ThingsExpo, Dr. Alex Gouaillard, CEO and Founder of CoSMo Software, presented ...
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, introduced 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 multip...
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, whic...
DevOps promotes continuous improvement through a culture of collaboration. But in real terms, how do you: Integrate activities across diverse teams and services? Make objective decisions with system-wide visibility? Use feedback loops to enable learning and improvement?
With technology insights and real-world examples, in his general session at @DevOpsSummit, at 21st Cloud Expo, Andi Mann, Chief Technology Advocate at Splunk, explored how leading organizations use data-driven DevOps to close th...
"Cloud4U builds software services that help people build DevOps platforms for cloud-based software and using our platform people can draw a picture of the system, network, software," explained Kihyeon Kim, CEO and Head of R&D at Cloud4U, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Is advanced scheduling in Kubernetes achievable?Yes, however, how do you properly accommodate every real-life scenario that a Kubernetes user might encounter? How do you leverage advanced scheduling techniques to shape and describe each scenario in easy-to-use rules and configurations? In his session at @DevOpsSummit at 21st Cloud Expo, Oleg Chunikhin, CTO at Kublr, answered these questions and demonstrated techniques for implementing advanced scheduling. For example, using spot instances and co...
An increasing number of companies are creating products that combine data with analytical capabilities. Running interactive queries on Big Data requires complex architectures to store and query data effectively, typically involving data streams, an choosing efficient file format/database and multiple independent systems that are tied together through custom-engineered pipelines. In his session at @BigDataExpo at @ThingsExpo, Tomer Levi, a senior software engineer at Intel’s Advanced Analytics gr...
Everything run by electricity will eventually be connected to the Internet. Get ahead of the Internet of Things revolution. In his session at @ThingsExpo, Akvelon expert and IoT industry leader Sergey Grebnov provided an educational dive into the world of managing your home, workplace and all the devices they contain with the power of machine-based AI and intelligent Bot services for a completely streamlined experience.
As many know, the first generation of Cloud Management Platform (CMP) solutions were designed for managing virtual infrastructure (IaaS) and traditional applications. But that's no longer enough to satisfy evolving and complex business requirements.
In his session at 21st Cloud Expo, Scott Davis, Embotics CTO, explored how next-generation CMPs ensure organizations can manage cloud-native and microservice-based application architectures, while also facilitating agile DevOps methodology. He expla...
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WebRTC Summit Silicon Valley All-Star Speakers Include
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PAPDO POULOS Cloud9
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HOLT IBM Cloudant
PICCIN- INNI EMC
BRON- GERSMA Modulus
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DALRY- MPLE EnterpriseDB
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This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."
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Blockchain. A day doesn’t seem to go by without seeing articles and discussions about the technology. According to PwC executive Seamus Cushley, approximately $1.4B has been invested in blockchain just last year. In Gartner’s recent hype cycle for emerging technologies, blockchain is approaching the peak. It is considered by Gartner as one of the ‘Key platform-enabling technologies to track.’ While there is a lot of ‘hype vs reality’ discussions going on, there is no arguing that blockchain is being taken very seriously across industries and cannot be ignored.
As you have probably heard, the EU commission signed the General Data Protection Regulation (GDPR) back in April 2016. The legislation is designed to help companies handle efficiently the data challenges of the 21st century and give strict guidelines as to how to work with massive flows of digital information. It is set to protect web users (data subjects) from malicious use and loss of their personal info and, also, to give people greater control over how their records are processed.
2017 was the year of ransomware. Ransomware has been around for years, but the victims were typically non-technical consumers: the impact, although serious from the victim's perspective, was limited. In 2017 we've seen huge ransomware attacks close down hospitals and businesses, putting lives and billions of dollars at risk.
It’s conference season and, as you might expect, Jason and I have been on the road covering a bunch of them. It’s always great to see what the disruptive players in the market are doing — and this year did not disappoint. But there is one thing that repeatedly happens that just gets under my skin: transformation-washing.
As Jason explained in a Forbes article over a year ago, ‘washing’ is when a vendor (or pundit) applies a buzzword loosely in an overt attempt to attach themselves to its buzz. And transformation-washing is rampant.
We’re seeing an emerging trend in the cloud computing world. I’ve been referring to it as cloud fatigue, but it’s more commonly known as repatriation, or moving workloads from the cloud back to on-prem locations. According to a recent 451 Research report, over 21 percent of organizations have plans to pull back from the cloud and return to an on-prem infrastructure in 2017. Considering the vast growth of cloud adoption over the last several years, what’s behind this trend?
How is DevOps going within your organization? If you need some help measuring just how well it is going, we have prepared a list of some key DevOps metrics to track. These metrics can help you understand how your team is doing over time.
The word DevOps means different things to different people. Some say it a culture and every vendor in the industry claims that their tools help with DevOps. Depending on how you define DevOps, some of these metrics may matter more or less to you and your team.
The word polymorphism is used in various contexts and describes situations in which something occurs in several different forms. In computer science, it describes the concept that objects of different types can be accessed through the same interface. Each type can provide its own, independent implementation of this interface. It is one of the core concepts of object-oriented programming (OOP).
The hotel and hospitality industry, enabled with advanced technology and more collaboration with associated businesses, will see some important trends in 2018 as hotel brands reinvent themselves to cater to a new type of clientele. Millennial guests will dominate the landscape, and reshape the industry with demands for more automated options and conveniences and the ability to do everything from a smartphone, and hotels - eager to deliver more conveniences to this younger audience - will forge closer alliances with retailers and community destination
The cloud market is growing at a rate of 30% annually and is expected to reach $130 billion. Analysts predict that service providers are well positioned to be the leading point of distribution for cloud services in light of the scale of their operations and their capacity to offer end-to-end lifecycle management for IaaS, SaaS and PaaS over secure managed networks.
Our cities have been connected since the dawn of urbanization in the Indus Valley and on the plains of Mesopotamia nearly ten millennia ago. Cities exist to gather and connect people, bringing us together into communities and joint ventures that need complex networks of communication. But in recent years the connected city has come to mean something more. Today and in the future, the connected city will not just be about people connecting with people, but people with machines, people with people via machines, and perhaps most importantly, machines with machines.
Decentralization of everything, the great new idea of which the web can’t stop babbling, might still seem a bit utopian if you inspect it closely.
Yes, blockchains are likely to reshape our economy, or a huge part of it, and benefit considerably those who are currently unbanked.
They might also facilitate the creation of rating/reputation systems that are not controlled by any single entity and thus allow people (say Uber drivers who’d like to work for Lyft) to switch employers without having to establish their credibility anew.
They might give users complete control over their assets; prot...
Quantum Computing is becoming quite the hot topic lately. With research being done by Google, IBM, Microsoft, universities, and a number of other players, it’s looking this is really going to happen. In fact, Google may just be weeks away from announcing the Quantum Supremacy milestone. If you aren’t familiar with the concept of Quantum Supremacy yet, it’s basically the point where a quantum computer can complete a computation in a short time where a classical computer can’t complete it at all. This is a big deal. While there are some simple quantum computers out there right now (you can ...
This phrase is new and it originated at Netflix back in 2010. I was listening to Nora Jones, a Netflix engineer at the AWS re-Invent conference few weeks back, where she talked about this. The principle of Chaos goes like this, “Chaos Engineering is the discipline of experimenting on a distributed system in order to build confidence in the system’s capability to withstand turbulent conditions in production.” Distributed systems have too many moving parts and failures can occur at various levels – hard disks can fail, the network can go down, a sudden surge in customer traffic can overload a fu...
Bitcoins are a digital cryptocurrency and have been around since 2009. As a substitute for legal tender, they are becoming the rage for investors and others but because there is no government agency auditing or performing regulatory oversights, you wonder if it is the perfect breeding ground for electronic nanocrime.
Since the introduction of the Bitcoin, some competitors have emerged and the whole segment of cryptocurrencies are defined as Altcoins. Altcoins include Dogecoin, Ethereum Feathercoin, Litecoin, Novacoin, Peercoin, and Zetacoin. Some of these cryptocurrencies are considered impro...
Robotic process automation (RPA), a concept that has emerged over recent years, is still in a state of rapid evolution, existing without a clearly defined end-state or direction. As such, vendors are experimenting and pushing their products into uncharted waters - successfully or otherwise. Nonetheless, we can be sure that artificial intelligence and machine learning will continue to develop and impact on automation solutions as whole, even if at the moment these capabilities do not frequently exist within the RPA space.
In a recent post, titled “10 Surprising Facts About Cloud Computing and What It Really Is”, Zac Johnson highlighted some interesting facts about cloud computing in the SMB marketplace:
Cloud Computing is up to 40 times more cost-effective for an SMB, compared to running its own IT system.
94% of SMBs have experienced security benefits in the cloud that they didn’t have with their on-premises service
In this article, we'll cover how you can monitor an application that runs on the Java Virtual Machine by going over some of the critical metrics you need to track. And, as a monitoring tool, we'll use Stackify Retrace, a full APM solution.
The application we'll monitor to exemplify these metrics is a real-world Java web application built using the Spring framework. Users can register, login, connect their Reddit account and schedule their posts to Reddit.
By Gopala Krishna Behara; Sridhar Chalasani; Tirumala Khandrika
The goal of Microservices is to improve software delivery speed and increase system safety as scale increases. Microservices being modular these are faster to change and enables an evolutionary architecture where systems can change, as the business needs change. Microservices can scale elastically and by being service oriented can enable APIs natively. Microservices also reduce implementation and release cycle time and enables continuous delivery. This paper provides a logical overview of the Microservices Reference Architecture that highlights various sub systems needed to support Microservic...
While walking around the office I happened upon a relatively new employee dragging emails from his inbox into folders. I asked why and was told, “I’m just answering emails and getting stuff off my desk.” An empty inbox may be emotionally satisfying to look at, but in practice, you should never do it. Here’s why.
I recently wrote a piece arguing that from a mathematical perspective, Messy Desks Are Perfectly Optimized. While it validated the genius of my friends with messy desks, it also generated a barrage of good-natured ribbing from my super-neat friends. Emotions aside, the math is the m...
The enterprise data storage marketplace is poised to become a battlefield. No longer the quiet backwater of cloud computing services, the focus of this global transition is now going from compute to storage. An overview of recent storage market history is needed to understand why this transition is important.
Before 2007 and the birth of the cloud computing market we are witnessing today, the on-premise model hosted in large local data centers dominated enterprise storage. Key marketplace players were EMC (before the Dell acquisition), NetApp, IBM, HP (before they became HPE) and Hitachi. Co...