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Leave AWS? Not for easier cloud discounts

If the cloud is all about convenience, cloud pricing is anything but.

The pay-as-you-go model has been complicated by AWS Reserved Instances and other ways to lock in lower prices at the expense of business agility.
Indeed, this critical need to shepherd costs efficiently has some AWS users longing for simpler and more flexible pricing models – but not enough to switch to competing clouds that offer them.Case in point: Googlersquo;s Sustained Use Discounts, which automatically kick in as your level of usage rises above 25, 50, and 75 percent of a given month.

The greater the portion of the month you run your instance, the greater your effective discount.To read this article in full or to leave a comment, please click here

Intrinsic ID Unveils Bold New Authentication Security for IoT Devices

SPARTAN Cloud is the first security product that enables secure connections to AWS, Azure and Google Cloud based on Transport Layer Security (TLS).

Eastwind Networks Enables Cloud-App Visibility with Cloud Connectors

Users mistakenly think that if they put their infrastructure into Amazon (AWS), Google Cloud or Azure, that theyrsquo;re also providing securitymdash;but thatrsquo;s a fallacy.

Google’s Firebase taps serverless Cloud Functions

Firebase, Google Cloud’s back end and SDK for mobile and web application development, is being enhanced with serverless compute capabilities. Google Cloud Functions for Firebase, now available in a beta release, allows developers to run back-end JavaScript code that responds to events triggered by Firebase features and HTTPS requests.Developers upload their code to Google's cloud, and the functions are run in a managed Node.js environment. There is no need for users to manage or scale their own servers. “[Cloud Functions] enables true server-less development,” Google's Ben Galbraith said. Like AWS Lambda and Microsoft's Azure Functions, Cloud Functions allows users to deploy and run code without provisioning servers. Developers code to cloud APIs, and the cloud takes care of managing and scaling the functions.To read this article in full or to leave a comment, please click here

How Yahoo wrangles its giant private cloud

Every week it seems we hear about another large enterprise moving a major chunk of workloads to AWS or some other public cloud. Meanwhile, the private cloudmdash;once considered a vital part of the enterprisersquo;s futuremdash;gets no respect. “The enterprises that banked on private clouds a few years ago are now having second thoughts,” says InfoWorldrsquo;s David Linthicum in a recent post.I can assure you that Yahoo isnrsquo;t one of those enterprises.
InfoWorld recently interviewed Yahoorsquo;s VP of Cloud Services, Preeti Somal, who gave us an in-depth virtual tour of the companyrsquo;s enormous private cloud, which runs hundreds of thousands of servers worldwide, averages one terabit per second of traffic to over a billion monthly users, and accommodates roughly 50,000 build jobs per day.To read this article in full or to leave a comment, please click here

Don’t fear the robots, embrace the potential

A new study suggests that business and IT automation is taking over tasks, not jobs.The implementation of robotic process automation (RPA) is enabling enterprises to execute business processes 5-10 times faster with an average of 37 percent fewer resources, according to a report released this week by Information Services Group (ISG). However, the productivity gains are not necessarily leading to mass layoffs, but rather the redeployment of employees to handle higher-value tasks and a greater volume of work, according to ISG[ Jump into Microsoft’s drag-and-drop machine learning studio: Get started with Azure Machine Learning. | The InfoWorld review roundup: AWS, Microsoft, Databricks, Google, HPE, and IBM machine learning in the cloud. ]Automation is creating a polar shift in how work gets done,” says ISG partner Craig Nelson. “While in the past humans have been supported by technology, we are now seeing a shift to technology being supported by humans to manage and operate business processes.  This shift is eliminating much of the mundane cut-paste-and-compare work that humans manage in the cracks between enterprise systems.”To read this article in full or to leave a comment, please click here

How to keep multicloud complexity under control

“Multicloud” means that you use multiple public cloud providers, such as Google and Amazon Web Services, AWS and Microsoft, or all three—you get the idea.

Although this seems to provide the best flexibility, there are trade-offs to consider.The drawbacks I see at enterprise clients relate to added complexity.

Dealing with multiple cloud providers does give you a choice of storage and compute solutions, but you must still deal with two or more clouds, two or more companies, two or more security systems … basically, two or more ways of doing anything.
It quickly can get confusing.[ To the cloud! Real-world container migrations. | Dig into the the red-hot open source framework in InfoWorld’s beginner’s guide to Docker. ]For example, one client confused security systems and thus inadvertently left portions of its database open to attack.
It’s like locking the back door of your house but leaving the front door wide open.
In another case, storage was allocated on two clouds at once, when only one was needed.

The client did not find out until a very large bill arrived at the end of the month.To read this article in full or to leave a comment, please click here

Cloud portability? Keep dreaming

People talk about multicloud as if it's a choice.
It's not. Multicloud is simply a fact of life.Within any enterprise, developers move at different paces while dealing with years or even decades of legacy build-out.
Some workloads will never go anywhere. Others simply fit a particular cloud best or migrate to the cloud where a certain dev group has already established a beachhead.

Through whatever means those workloads arrive on AWS, Azure, Google Cloud, or another public cloud, and they'll very likely stay put once in place.[ The cloud storage security gap — and how to close it. | 5 ways Microsoft has improved SharePoint security. ]One factor keeping such workloads firmly rooted in place is data gravity.
It's expensive to move data from one cloud to another (not to mention from an on-prem deployment to a public cloud).

But that's not the biggest problem.

The primary issue with multicloud deployments is that each cloud comes prebaked with unique services—and those services ensure lock-in as far as the eye can see.To read this article in full or to leave a comment, please click here

3 takeaways from Red Hat’s AWS deal for OpenShift

Red Hat and Amazon have long been framed as rivals, but only in the sense that anyone who provides on-prem Linux and PaaS products competes to some degree with a cloud provider. Really, they’re more like peanut butter and jelly.Yesterday, Red Hat unveiled details about a new partnership with Amazon to support integrating some widely used AWS options into Red Hat’s OpenShift PaaS. The list of services covers basic infrastructure (AWS Route 53, AWS Cloudfront), data (AWS Redshift/Aurora/Athena), and cutting-edge technologies (AWS Lambda).[ To the cloud! Real-world container migrations. | Dig into the the red-hot open source framework in InfoWorld’s beginner’s guide to Docker. ]Here are three reasons why offering those services with OpenShift is big for Red Hat and its customers—and how it could potentially be big for other cloud vendors too.To read this article in full or to leave a comment, please click here

Why everyone’s so excited about serverless computing

As part of the normal cycle of things, our most recent boom in enterprise technology development has slowed, which always leaves the industry breathless about whatever’s left that’s actually new. Witness, for example, the current mania over AI and machine learning.I’ve had my fill of AI-washing, so the most interesting new area to me today is serverless computing, which hit the radar a couple of years ago when Amazon introduced AWS Lambda.

The basic idea is that, finally, developers can build without worrying about physical or virtual servers or even containers.
Instead, devs can simply assemble services from small building blocks of code called functions, and all that messy infrastructure stuff under the hood takes care of itself.To read this article in full or to leave a comment, please click here

Get functional! 5 open source frameworks for serverless computing

Sometimes all you need is a single function.

That’s the idea behind serverless computing, where individual functions spin up on demand, perform a minimal piece of work (serve as an API endpoint, return static content, and so on), and shut down.
It’s cheap, it uses minimal resources, and it has little management overhead.Most of what we currently identify as serverless computing kicked off with AWS Lambda, later joined by similar services on Microsoft Azure, Google Cloud Platform, and IBM Bluemix.

But there’s a healthy complement of open source serverless architectures available—not only facilitators for the serverless frameworks on a particular cloud, but full-blown methods to deploy serverless frameworks on the cloud or hardware of your choosing.To read this article in full or to leave a comment, please click here

AWS vs. Azure vs. Google: Cloud storage compared

One of the most common use cases for public IaaS cloud computing is storage and that's for good reason: Instead of buying hardware and managing it, users upload data to the cloud and pay for how much they put there.+MORE AT NETWORK WORLD: Battle of ...