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Microsoft took another step toward being king of the cloud hill when it announced in January that it was releasing its Azure stack to the public. There are many technical reasons why this is cool, but more importantly, it's the psychological advantage this gives Microsoft.
Google has always had the ability for developers using its stack to develop locally on the same tools that run in Google App Engine. It recently forked its environments, so now the local and cloud environments are slightly different for some of the configurations -- I can't tell you how many nights I have lost sleep becaus...
Right off the bat, Newman advises that we should "think of microservices as a specific approach for SOA in the same way that XP or Scrum are specific approaches for Agile Software development". These analogies are very interesting because my expectation was that microservices is a pattern. So I might infer that microservices is a set of process techniques as opposed to an architectural approach. Yet in the book, Newman clearly includes some elements of concept model and architecture as well as process and organization.
I'm often guilty of sticking my head in the sand, ignoring very small details that could turn into big problems later on. Like when Netflix told me my credit card was about to expire, but it seemed like such a boring task, so I ignored them...till the day Netflix stopped working. I grumbled at the TV for awhile, then wasted another half hour remembering my login details and finding the credit card update page.
Clearly, I should have followed the easy link in the first place. It was my oversight that led me to waste time and my good mood updating my info. I consider missing my favorite televis...
I’ve heard several clients complain about the curse of “orphaned analytics”; which are one-off analytics developed to address a specific business need but never “operationalized” or packaged for re-use across the organization. Unfortunately, many analytic organizations lack a framework for ensuring that the analytics are not being developed in a void. Organizations lack an overarching model to ensure that the resulting analytics and associated organizational intellectual capital can be captured and re-used across multiple use cases.
This is part one of a two-part series of posts about using some common server storage I/O benchmark tools and workload scripts. View part II here which includes the workload scripts and where to view sample results.
There are various tools and workloads for server I/O benchmark testing, validation and exercising different storage devices (or systems and appliances) such as Non-Volatile Memory (NVM) flash Solid State Devices (SSDs) or Hard Disk Drives (HDD) among others.
Cloud computing has taken over the business world! With almost maniacal focus, single proprietors and Board Directors of the world's largest conglomerates see this new model as a "must do". This rapid shift is, in fact, accelerating. As Jeff Bertolucci observes in "The Shift to Cloud Services Is Happening Faster Than Expected":
"According to the sixth annual Uptime Institute Data Center Industry Survey, which examines the big-picture trends shaping IT infrastructure delivery and strategy, the move to cloud services is accelerating. The Uptime Institute's February 2016 poll of more than 1,00...
It seems like every day we see reminders of the importance of thorough security testing from all areas of the software world. Security has become an especially critical consideration for APIs in recent years. Organizations rely on APIs to share and receive information - either from a third party or between internal applications - so the level of security between these applications is critical for anyone who uses them.
Clouds are typically classified into four different topologies: private, public, community and hybrid clouds. Let’s focus on hybrid clouds: what are the use cases that require this topology, what are the challenges, and who stands to benefit from the hybrid cloud trend?
First off, a definition: A hybrid cloud is a topology in which more than one cloud infrastructure is utilized to solve a particular problem.
The Internet of Things (IoT) promises to change everything by enabling “smart” environments (homes, cities, hospitals, schools, stores, etc.) and smart products (cars, trucks, airplanes, trains, wind turbines, lawnmowers, etc.). I recently wrote about the importance of moving beyond “connected” to “smart” in a blog titled “Internet of Things: Connected Does Not Equal Smart”. The article discusses the importance of moving beyond just collecting the data, to transitioning to leveraging this new wealth of IoT data to improve the decisions that these smart environments and products need to make: t...
No matter how well-built your applications are, countless issues can cause performance problems, putting the platforms they are running on under scrutiny. If you've moved to Node.js to power your applications, you may be at risk of these issues calling your choice into question. How do you identify vulnerabilities and mitigate risk to take the focus off troubleshooting the technology and back where it belongs, on innovation?
There is no doubt that Node.js is one of today's leading platforms of choice for microservices and gluing tiers, connecting the heavy lifting business logic with modern o...
Companies are exploiting technology advances in procurement and finance services to produce new types of productivity benefits.
We'll now hear from a procurement expert on how companies can better manage their finances and have tighter control over procurement processes and their supply chain networks. This business process innovation exchange comes to you in conjunction with the Tradeshift Innovation Day held in New York on June 22, 2016.
Tangerine Bank in Toronto has improved end-user experiences for online banking and made data more secure across its lifecycle, speeding the delivery of a new credit card offering.
We'll now learn how improving end-user experiences for online banking and making data more secure across its lifecycle has helped speed the delivery of a new credit card offering.
The data warehouse and data lake are two different types of data storage repository. The data warehouse integrates data from different sources and suits business reporting. The data lake stores raw structured and unstructured data in whatever form the data source provides. It does not require prior knowledge of the analyses you think you want to perform.
A data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed. While a hierarchical data warehouse stores data in files or folders, a data lake uses a flat architecture to store data.
Continuous testing helps bridge the gap between developing quickly and maintaining high quality products.
But to implement continuous testing, CTOs must take a strategic approach to building a testing infrastructure and toolset that empowers their team to move fast.
Download our guide to laying the groundwork for a scalable continuous testing strategy.
Join Us at the Santa Clara Convention Center in New York, Santa Clara, November 1-3
Cloud computing software is eating the world, and each day is bringing new developments in this world.
Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy.
Meanwhile, 94% of enterprises are using some form of XaaS – software, platform, and Infrastructure as a Service.
Big Data | Analytics and the emerging Internet of Things (IoT) are driving exponentially increased demands on datacenters and developers alike, as we cross the zettabyte horizon this year.
Containers and microservices are now part of every PaaS conversation, and IaaS providers are increasingly competing for platform customers.
WebRTC continues to reform web communications, and DevOps is pushing its way into an enterprise IT world that is increasingly agile, lean, and continuous.
Through all this, Cloud Expo remains the single independent event where delegates and technology vendors can meet to experience and discuss the entire world of the cloud.
Only Cloud Expo brings together all this in a single location:
• Cloud Computing
• Big Data | Analytics
• Internet of Things
• Containers | Microservices
Cloud computing budgets worldwide are reaching into the hundreds of billions of dollars, and no organization can survive long without some sort of cloud migration strategy. Each month brings new announcements, use cases, and success stories.
Cloud Expo offers the world's most comprehensive selection of technical and strategic Industry Keynotes, General Sessions, Breakout Sessions, and signature Power Panels. The exhibition floor features 100+ exhibitors offering specific solutions and comprehensive strategies.
The floor also features a Demo Theater that give delegates the opportunity to get even closer to the technology they want to see and the people who offer it.
Attend Cloud Expo. Create your own custom experience. Learn the latest from the world's best technologists. Talk to the vendors you are considering, and put them to the test.