Everything is moving to the cloud. From public to private to hybrid, enterprises are adopting cloud technologies as their primary operating model. From Juniper’s perspective, a truly cloud-enabled enterprise is more than just how to make more money via a company’s Web site. Achieving a cloud enabled enterprise entails taking a holistic approach to involving the entire network. When it’s done right, a cloud-enabled enterprise results in the following three characteristics.

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On February 8, 2011, then United States CIO Vivek Kundra released the US Federal Cloud Computing Strategy[1]. In the executive summary he laid out the inefficient state of affairs that was the US Federal Government’s IT environment:
The Federal Government’s current Information Technology (IT) environment is characterized by low asset utilization, a fragmented demand for resources, duplicative systems, environments which are difficult to manage, and long procurement lead times. These inefficiencies negatively impact the Federal Government’s ability to serve the American public.

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Information overload has infiltrated our lives. From the amount of news available and at our fingertips 24/7, to the endless choices we have when making a simple purchase, to the quantity of emails we receive on a given day, it’s increasingly difficult to sift out the details that really matter.
When you envision your cloud monitoring system, the same thinking applies. We receive a lot of useless data that gets fed into the system, and the reality is no one in IT or DevOps has the time to manually determine the actionable data points (that’s a whole job itself), meaning monitoring what really matters is a tall order.

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The concept of cloud backup has been around awhile and seems well-understood: For a monthly fee, a third-party vendor will back up your business data and store it “in the cloud” (network of servers) so it can be retrieved on demand at a later date.

What is less well-understood is the idea of cloud disaster recovery. Its name gives some indication of its purpose, suggesting a more robust response to an unforeseen data-loss emergency. But is a more robust response always the appropriate response? In other words, how does one calibrate a solution to best fit one’s specific needs?

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Monetizing the cloud is fast becoming a hot area of interest for everyone. Rightfully so, perhaps because we have come along in our evolution as cloud technologists and are now able to see more than just being able to make things work on the cloud. It’s time now to derive maximum value from the cloud and the need for any vendor is to generate revenue. What are the rules of monetization and how do we even get started? Let’s look at three things that essentially make up a monetization framework.

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Enterprises can achieve rigorous IT security as well as improved DevOps practices and Cloud economics by taking a new, cloud-native approach to application delivery. Because the attack surface for cloud applications is dramatically different than for highly controlled data centers, a disciplined and multi-layered approach that spans all of your processes, staff, vendors and technologies is required. This may sound expensive and time consuming to achieve as you plan how to move selected applications to the cloud, but smart organizations are actually reporting an improved security posture, accelerated development processes and greater cost savings.

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“It’s important to have control over each module and each service in order to distribute the load and make the whole system flexible. We need to work with every component of the infrastructure and adjust it – and IaaS with its ready solutions helps us and saves both our and our customers’ time,” explained MobiDev CEO Oleg Lola and CCO Oleksii Ostroverkhyi, in this exclusive Q&A with Cloud Expo Conference Chair Roger Strukhoff.

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Cloudian, Inc., has released Cloudian HyperStore ‘forever live’ FL3000 series arrays and HyperStore 5.2 software. The new appliances, which can start small and scale up to 3.8 petabytes of storage in a single data center rack, offer businesses the ability to scale with the demands of the business, from terabytes to hundreds of petabytes.

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The lines between the corporate network and Internet are getting increasingly blurry. As companies rely on the cloud, employees become more mobile and there is a rise in third-party users who need access to certain applications or resources. Traditional network perimeters, VPNs and the concept of trusting everyone as long as they had the right credentials to log in is simply not enough these days. In fact, this broad trust has resulted in serious breaches, with personal, corporate and government data being exposed to hackers.

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The web app is agile. The REST API is agile. The testing and planning are agile. But alas, data infrastructures certainly are not. Once an application matures, changing the shape or indexing scheme of data often forces at best a top down planning exercise and at worst includes schema changes that force downtime. The time has come for a new approach that fundamentally advances the agility of distributed data infrastructures.
Come learn about a new solution to the problems faced by software organizations as their products become successful and the data grows beyond the initial scope of the database, whether it starts out as relational SQL, NoSQL, or somewhere in between.

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