Cloudistics entered into a strategic partnership with Fungible. The Cloudistics development team is working jointly with Fungible on software to drive the next generation of composable infrastructure. A few members of our team have joined Fungible directly, this will ensure synergy and create leadership integrated offerings.

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Top Five Current Private Cloud Trends

The issues and requirements placed on enterprise IT Infrastructures continues to grow. Workforce mobility issues, advanced security requirements, containerized application needs, and the ever-increasing amounts of data, which need to be constantly processed and analyzed are only to name a few constantly expanding needs.

Cloudistics outlines the top private cloud trends dominating and shaping the enterprise IT landscape for many years to come:

In today’s competitive environment, operational agility is a must. Businesses can no longer rely on manually configured and operated legacy datacenters, which consume both time and personnel. The software defined datacenter (SDDC) is the new enterprise private cloud. By “software-defined,” Cloudistics means that the control panel is completely abstracted from hardware and each datacenter component is operated through management software, without the need for manual set-up and configuration.

The modern private cloud is expected to have software-defined everything: complete network, storage and server virtualization. The approach, however, often has its downsides: it usually results in increased agility and scalability; but not in the dramatic decrease of IT expenses, as was once expected.

With so many enterprises recognizing the value and benefit of big data, it is amazing big data apps and security systems are not used by every business or non-profit organization. According to recent surveys, most enterprises are using such powerful business intelligence (BI) tools as Splunk, Hadoop and Cloudera, while many small and medium companies stick with previous-generation BI and security apps. The problem encountered with these tools is slow speed of data analysis and security systems, which stems from requirements placed on the underlying infrastructure. Big data requires increased storage and computing capacities – and the use of containerized applications demands the same.

To benefit from big data, organizations must carry out substantial datacenter upgrades, requiring serious investment. While some of big data apps are offered on a SaaS basis, the public cloud model often winds up less attractive due to costs. The enterprise private cloud needs to be not only agile and scalable but also powerful enough to support big data apps, containerization and container orchestration in the IT infrastructure.

In 2017, business leaders want enterprise infrastructures to measure up to the same level as Google, Facebook and Amazon. The term “web-scale IT” was introduced by Gartner to outline the requirements businesses now place on IT performance. While legacy datacenters are not intended for web-scale IT, many organization stick with them for fear that a datacenter refresh will boost expenses. Ironically, hanging on to outdated technologies may cost considerably more and, consequently, result in lost revenue and missed business opportunities. Still, it makes little sense to adopt new hardware and software technologies blindly – before you do, it is essential to carefully evaluate your business needs and budget.

Gone are the days when organizations had to choose between an infrastructure that ensures smooth non-disruptive operations and one that supports innovations and experiment. Within the concept of bimodal IT, both modes are essential for ensuring business success and underpin a competitive edge. Today, organizations infrastructure downtime is costly, disruptive and embarrassing – the system should be up and running 24/7 even when new services and updates are introduced. Enterprises can’t sacrifice safety and predictable performance for agility and speed. Enterprises need the benefits of both.

A bimodal approach requires a new management philosophy as well as investments in new software and hardware. The datacenter now must maintain the tricky balance juggling agility and stability, support multi-tenancy, mixed workloads, flexible scaling, on-demand capacity, self-service and automation.

The Internet of Things (IoT) is here and the enterprise IT private cloud should be ready to accept its challenge. With so many multi-purpose appliances connected to the Internet (not to mention mobile devices), enterprise IT infrastructures must expand with potentially unlimited number of nodes. Furthermore, the enormous amount of data generated by IoT devices will need to be captured, stored, processed and analyzed. This creates challenges in security, storage, server and network level as well as threating vital real-time business operations. The datacenter should be capable to instantly adapt to a great number of network connections and massive amounts of data, requiring more advanced architectures from the enterprise private cloud. Ideally, it should be manageable as a single entity while simultaneously monitoring and controlling individual nodes and segments.

Composable Infrastructure – The Evolution of the Private Cloud

Back in 2016, analysts were predicting the growing demand for software-defined datacenters and hyperconverged infrastructures; but the evolutionary leap took datacenter technologies even further as last year marked the first release of the Cloudistics Ignite solution. Unlike hyperconverged solutions, the composable datacenter offers decoupled scaling of storage and compute units while tightly integrating each datacenter silo. Moreover, it natively includes network virtualization, so there is no need to purchase virtualization software from third party vendors.

Cloudistics Ignite 3.0 is completely software-defined.

The software is easy to use and can be managed from single pane of glass via SaaS portal in the cloud. Ignite 3.0’s simplicity enables it to be operated by one IT generalist, obviating the need to hire an expert team.

Ignite 3.0 from Cloudistics is flexible, scalable, completely-software defined. It is easy to operate and very cost effective. Additionally, it is powerful enough to support big data applications and security management systems. The recently-released Cloudistics Ignite 3.0 version supports Splunk, as well as Docker containerization and Kubernetes.

Cloudistics Ignite 3.0 is a great solution for organizations who strive for web scale IT; but who have business critical applications running on legacy solutions. Ignite 3.0 is built using commodity hardware and runs easily alongside existing infrastructure. Ignite 3.0 is future proof and can grow to meet ever increasing needs in enterprise IT. Deployment time only a maximum of 12 minutes ensuring fast time-to-value.

For IT teams who aim to implement bimodal IT principles, Ignite 3.0 is also a great choice because it combines flexible scaling with smooth and non-disruptive application performance. The Cloudistics enterprise private cloud comes with an affordable price tag, meeting the business demand to do more with less time, staff and less cost. The five private cloud trends outlined above reflect both the challenges and the innovations enterprise IT infrastructures need to deal with in 2017 and beyond.

The software is easy to use and can be managed from single pane of glass via SaaS portal in the cloud. Ignite 3.0’s simplicity enables it to be operated by one IT generalist, obviating the need to hire an expert team.

Ignite 3.0 from Cloudistics is flexible, scalable, completely-software defined. It is easy to operate and very cost effective. Additionally, it is powerful enough to support big data applications and security management systems. The recently-released Cloudistics Ignite 3.0 version supports Splunk, as well as Docker containerization and Kubernetes.

Cloudistics Ignite 3.0 is a great solution for organizations who strive for web scale IT; but who have business critical applications running on legacy solutions. Ignite 3.0 is built using commodity hardware and runs easily alongside existing infrastructure. Ignite 3.0 is future proof and can grow to meet ever increasing needs in enterprise IT. Deployment time only a maximum of 12 minutes ensuring fast time-to-value.

For IT teams who aim to implement bimodal IT principles, Ignite 3.0 is also a great choice because it combines flexible scaling with smooth and non-disruptive application performance. The Cloudistics enterprise private cloud comes with an affordable price tag, meeting the business demand to do more with less time, staff and less cost. The five private cloud trends outlined above reflect both the challenges and the innovations enterprise IT infrastructures need to deal with in 2017 and beyond.

Cloudistics believes the main trend, lies in further upgrade and development of superconverged private cloud solutions.

Cloudistics Ignite 3.0 and its unique architecture can meet all modern datacenter challenges to assist the enterprise adapt to current IT trends and future issues.

Dan Mroz

VP of Worldwide Marketing

Over the past 20 years, Dan has had the opportunity to hold several diverse positions within the IT industry. Prior to joining Cloudistics, he was part of an incubation team at Lenovo, which launched new hyper-converged products. He developed channel and enablement strategies while contributing to marketing and messaging efforts. Prior to Lenovo, Dan held positions in sales and engineering at Dell-EMC. Dan was engineer of the year in 2012 and 2014.

Dan has held IT leadership and instructor positions at the Pennsylvania State University where he led technology strategy, instructional design, and numerous strategic projects.

Dan has always had an entrepreneurial spirit and co-founded a web development, hosting, and consulting company. He has led marketing, recruitment, and IT operations of multiple organizations in the healthcare, technology, and financial segments.

Dan earned two undergraduate degrees from the Pennsylvania College of Technology and his MBA from the New York Institute of Technology.

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