The first step to scaling your enterprise should be doing whatever you can to ensure you have a high performing DevOps environment. Evaluate the strengths of your enterprise and what you hope to accomplish, then decide whether you’d like to start with Continuous Integration, Continuous Testing, or, the final phase, Continuous Delivery. You can start slowly, but you have to start somewhere.
The next generation of platforms is here with options in both cloud and on premises hyperconverged infrastructure. How do real people in today's business world make the correct choices on where to move? As IT departments look to move beyond traditional virtualization into cloud and hyperconverged infrastructure (HCI) platforms, they have a lot to consider. There are many types of organizations with different IT needs and it is important to determine whether those needs align more cloud or HCI. Before I dig into the differences, let me go over the similarities.
It was a Monday. I was reading the Internet. Okay, I was skimming feeds. Anyway, I happened across a title that intrigued me, “Stateful Apps and Containers: Squaring the Circle.” It had all the right buzzwords (containers) and mentioned state, a topic near and dear to this application networking-oriented gal, so I happily clicked on through. Turns out that Stateful Apps are not Stateful Apps. Seriously.
Without a clear strategy for cost control and an architecture designed with cloud services in mind, costs and operational performance can quickly get out of control. To avoid multiple architectural redesigns requires extensive thought and planning. Boundary (now part of BMC) launched a new public-facing multi-tenant high resolution monitoring service on Amazon AWS two years ago, facing challenges and learning best practices in the early days of the new service. In his session at 19th Cloud Expo, Michael Moran, a Senior Architect, TrueSight R&D, at BMC Software, will share those lessons learned and how to balance cost control with the many choices of service, storage, and compute paradigms.
About a year ago we tuned into “the need for speed” and how a concept like "serverless computing” was increasingly catering to this. We are now a year further and the term “serverless” is taking on unexpected proportions. With some even seeing it as the successor to cloud in general or at least as a successor to the clouds’ poorer cousin in terms of revenue, hype and adoption: PaaS. The question we need to ask is whether this constitutes an example of Hype Hopping: to effortlessly pivot to the next new thing once the previous one turns out to be just a bit less attractive and certainly a lot more complex then we all thought at first. The Gartner Hype Cycle has been calling this for years the trough of disillusionment, a valley that only the strongest of innovations manage to pass in order to reach the slope of enlightenment or even the plateau of productivity that lies beyond.
Independent Health has further extended advanced testing benefits to ongoing apps production and ongoing performance monitoring by reusing proven performance scripts and replaying synthetic transactions that mimic user experience.
Phishing has been around since the dawn of the internet. The term was first used in an AOL Usenet group back in 1996 but it wasn’t until 2003 when many baited hooks and lures started dropping. Popular transaction destinations like PayPal and eBay were some of the early victims of these spoofed sites asking customers to update their personal and credit card information. By 2004, it was a full-fledged ‘get rich quick scheme’ with many financial institutions – and their customers – as targets.
Most of us already know that adopting new cloud applications can boost a business’s productivity by enabling organizations to be more agile and ready to change course in our fast-moving and connected digital world. But the rapid adoption of cloud apps and services also brings with it profound security threats, including visibility and control challenges that aren’t present in traditional on-premises environments. At the same time, the cloud – because of its interconnected, flexible and adaptable nature – can also provide new possibilities for addressing cloud security problems. By leveraging the power of the cloud with a data science and machine learning cloud-based solution, security and risk professionals can solve many of the traditional security challenges found in popular apps like Office 365, Google Drive, Salesforce and Box.
From EMEA to APAC to the EU, growth in mobile devices and consumption of Internet bandwidth have grown at an incredible rate. One of the features of mobile devices that consumers like best is the ability to have their experience tailored to their geographic location, demographic profile, behaviors and preferences. These capabilities have greatly enhanced the user experience by providing users with information that is most relevant to them, whether that means finding the closest gas station, locating the best sushi restaurant within a city block or finding the best deal on a new pair of shoes while riding the bus to work.
ReactJS is a well-known open-source JavaScript library which has shown considerable growth and immense popularity in the recent years. Find out how to build a mobile app with React and some tips from Erminesoft tech team.
SYS-CON Events announced today the Enterprise IoT Bootcamp, being held November 1-2, 2016, in conjunction with 19th Cloud Expo | @ThingsExpo at the Santa Clara Convention Center in Santa Clara, CA. Combined with real-world scenarios and use cases, the Enterprise IoT Bootcamp is not just based on presentations but with hands-on demos and detailed walkthroughs. We will introduce you to a variety of real world use cases prototyped using Arduino, Raspberry Pi, BeagleBone, Spark, and Intel Edison. You will get a thorough overview of enterprise cloud technologies such as AWS IoT, Azure IoT Suite, and IBM Watson IoT, which play an important role in IoT architecture. The immersive 2-day workshop will provide you with everything you wanted to know about Internet of Things.
As software development becomes an integral part of today’s enterprise, and teams are often dispersed globally, it’s important as a developer to have some tried and true best practices to stand by. Scaling these principles and duplicating successes across the distributed enterprise can be a challenge however, particularly if other organizational stakeholders are turning on the heat when it comes to security, costs, and concerns about shadow IT.
Imagine if you will, a world where technology is changing at breakneck speeds. Where new technology hype seems to know no bounds. You see words floating in front of you. Cloud. Mobile. Big Data. Internet of Things. Machine Learning. Blockchain. The words fly towards you, circling. They seem to be saying something. ‘Use me’… “No, use me.’. Confusion seems to abound. At the sign post up ahead, your next stop, the Disruption Zone!
Regulatory requirements exist to promote the controlled sharing of information, while protecting the privacy and/or security of the information. Regulations for each type of information have their own set of rules, policies, and guidelines. Cloud Service Providers (CSP) are faced with increasing demand for services at decreasing prices. Demonstrating and maintaining compliance with regulations is a nontrivial task and doing so against numerous sets of regulatory requirements can be daunting task. CSPs need a foundation that provides a uniform, non-repetitive view across all the requirements.
I was reading an interview with John Krafcik, CEO of Google’s Self-driving Car Project, in the August 8th issue of Bloomberg BusinessWeek. The article referenced a survey by AlixPartners where they found that 73% of people wanted autonomous vehicles. But when people had the option to have a steering wheel in the car, allowing optional full control to the driver, the acceptance rate jumped to 90%. This finding, that people are much more accepting of automation and new ideas when they have the option of control, is totally consistent with what we found with respect to how to deliver big data analytics.
Enabling patient-doctor trust goes a long way in a provider’s ability to provide care. Trust is also critical for enabling network connections that are safe, to help secure health networks. The healthcare industry is scrambling to shore up defenses as cyberattacks and breaches increase. The rapid adoption of electronic health records/electronic medical records (EHR/EMR) has created an attractive opportunity for cyber criminals. Ponemon Research recently reported that breach costs are $363 for each stolen healthcare record, and that is the highest across all vertical markets.
The newer Windows 10 devices with the Hello extensions are definitely going to have a cost implication, but in today’s context in our own consumer world where every individual has access to Smartphones with advanced biometric features, why should the enterprise user continue to use the old PCs that are managed by traditional passwords? I think the cost of transformation to these devices will be worth the efficiencies in the ITIL operations as well as improved security to enterprise data. It would be useful to collect data about OEMs who have Windows 10 PCs with Biometric Hello features and the same list can be utilized by enterprises. I will write a separate article on Windows 10 devices for enterprises.
I'm a lonely sensor. I spend all day telling the world how I'm feeling, but none of the other sensors seem to care. I want to be connected. I want to build relationships with other sensors to be more useful for my human. I want my human to understand that when my friends next door are too hot for a while, I'll soon be flaming. And when all my friends go outside without me, I may be left behind. Don't just log my data; use the relationship graph. In his session at @ThingsExpo, Ryan Boyd, Engineer and Head of Developer Relations at Neo4j, will help attendees understand the dependencies and figure out the root cause of the failures.
Since cloud computing has made big leaps in the past few years by emerging as a conventional business tool, several strategies have consequently surfaced. These myths aren't necessarily as risky as they were initially presented to be, but they certainly affect our methods of approaching solutions in the cloud computing space.
Has there ever been a better time to be in DevOps? TV shows like “Person of Interest” and “Mr. Robot” are getting better at showing what developers actually do, using chunks of working code. Movies like Michael Mann’s “Blackhat” (2015) won praise from Google’s security team for its DevOps accuracy in a few scenes. Look around and you’ll discover elements of DevOps culture filtering out into wider society, such as people in all walks of life discussing their uptime or fast approaching code lock.
When scaling agile / Scrum, we invariable run into the alignment vs autonomy problem. In short: you cannot have autonomous self directing teams if they have no clue in what direction they should go, or even shorter: Alignment breeds autonomy. But how do we create alignment? and what tools can we use to quickly evaluate if what we want to do is part of the mission or better left out? Niel Nickolaisen created the Purpose Alignment model and I use it with innovation labs in large enterprises to decide what should be part of our innovation and what should be left to others.
The many IoT deployments around the world are busy integrating smart devices and sensors into their enterprise IT infrastructures. Yet all of this technology – and there are an amazing number of choices – is of no use without the software to gather, communicate, and analyze the new data flows. Without software, there is no IT. In this power panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists will look at the protocols that communicate data and the emerging data analytics that bring its full value to the enterprise. The era of Big Data and "Little Big Data" has arrived, and will soon be eating an enterprise near you!
Most enterprises are struggling to innovate and are not investing enough into new technologies to counter disruptive measures. As a result, in a few years, their products are becoming irrelevant in the market. Examples of Blackberry, Nokia, Kodak, Blockbuster have been quoted numerous times. Technology has lowered the entry barrier to innovation, and new entrants can easily disrupt the entire business models in a matter of months. Geographical borders do not guarantee any competitive advantages anymore. Any breakthrough or new idea travels around the world in a matter of minutes.
“Infrastructure exists only to meet the demands of applications,” said Ajay Singh, vice president of product management, Nimble Storage. “We recognize the need to bridge the gap between the application and storage owner. By taking an app-centric approach, IT teams are better positioned to meet the service level demands of the business.” Nimble Storage has announced a comprehensive suite of features that are optimized around fast and predictable application delivery. The Nimble Predictive Flash platform allows IT to deliver applications confidently with Quality of Service (QoS) and secure multi-tenancy across VMware, OpenStack, KVM and now Docker Containers. With app-centric management within InfoSight Predictive Analytics businesses now have more visibility and control of application performance. App-based Storage on Demand provides a cloud-like pricing model where enterprises only pay for the storage consumed by each application. This app-centric approach provides greater predictability and ease of management for applications across the enterprise.
Organizations have key business processes that they are constantly trying to re-engineer. These key business processes – loan approvals, college applications, mortgage underwriting, product and component testing, credit applications, medical reviews, employee hiring, environmental testing, requests for proposals, contract bidding, etc. – go through multiple steps, usually involving multiple people with different skill sets, with a business outcome at the end (accept/reject, bid/no bid, pass/fail, retest, reapply, etc.). And while these processes typically include “analytics” that report on how well the processes worked (process effectiveness), the analytics only provide an “after the fact” view on what happened.