How virtualisation is a vital stepping stone to the cloud

It is true to say that there has been a lot of talk about virtualisation over the years and you would be forgiven for thinking that every server and every storage system has had some kind of virtualisation treatment, but there are still some companies out there who have yet to virtualise and indeed realise the benefits that both virtualisation and cloud offer.

So for those who have not gone down the virtualisation route let me summarise the benefits from a business and technical perspective and whilst we are there let’s take a look at virtualisation in the context of cloud adoption and the benefits it brings in a cloud environment.   The need to embrace virtualisation normally comes hand in hand with growing hybrid environments and having some of your IT infrastructure in the cloud and some on premise.  In fact virtualisation is often seen as a stepping stone into cloud.

Why virtualise?

Let’s start by looking at the benefits that virtualisation brings to the business. Virtualisation can increase IT agility, flexibility, and scalability while creating significant cost savings. Workloads get deployed faster, performance and availability increases and operations become automated.  This results in an IT environment that is simpler to manage and less costly to own and operate.  Other key business benefits of virtualisation include the ability for the organisation to reduce capital and operating costs, to more effectively minimise or even eliminate downtime.  IT can provision applications and resources faster, enable business continuity and disaster recovery, and finally virtualisation helps to simplify data centre management.

The key technical benefits of virtualisation are many and include:

  • Encapsulation – the virtual machine is described as a small number of files, typically its virtual disk drive and a resource description file contains its virtual hardware requirements
  • Virtual machines separate the operating system from the physical hardware, so they are no longer tightly locked to particular hardware through device drivers. This makes moving a VM from a Dell server, say, to an HP or Lenovo server much more straightforward
  • Live migration – a virtual machine can be moved from one physical host to another with no downtime for the operating system. This is very useful for both load balancing, but also for maintenance or upgrading of hosts

Best practice tools and approaches

Tools are available to virtualise current physical servers, such as VMware Converter and Platespin Powerconvert.  However, often it is better to build a virtual machine from new and reload the application and data.  As organisations choose to upgrade their operating systems and applications, they are normally doing this from a fresh build of Windows or Linux as a virtual machine.  And in terms of best practices for virtualising servers, all Intel x86 servers are now candidates for virtualisation.

The main challenges around virtualisation are normally about the risk associated with the migration process, especially downtime, and around the licensing policies of the software being run.  For this reason, the main servers still running on physical hardware tend to be large transactional databases such as SQL server clusters and Oracle.

To get the greatest benefits out of virtualisation it should be in a shared storage infrastructure.  In the early days, this meant fibre-channel SAN or network-attached (NFS) storage.  Recently, hyper-converged infrastructures have appeared on the scene from companies such as VMware (VSAN), Nutanix and Simplivity. This takes industry-standard x86 servers with large amounts of CPU and RAM, but it uses internal disks rather than a SAN, together with high-speed networking.  Technologies such as flash and solid-state disks, as well as compression and deduplication have made these storage systems cheaper and faster for virtualised workloads.  Software ensures that all the data is fully redundant across the cluster, with virtual machines load balanced at the same time.

Virtualising servers and storage in preparation for creating a private cloud

Virtualisation is a key requirement for the cloud, whether migrating or creating from new. Once virtualised, virtual machines can be migrated to cloud providers via export/import mechanisms such as the Open Virtualisation Format (OVF).  In some cases the format of the virtual machine will need to be changed depending on the source and target format.  For example, VMware to MS Azure will require conversion to Hyper-V, while Amazon AWS would require conversion to Xen. 

Rather than migrating and converting, it is often better to replicate the data over a period of time using solutions such as Zerto, Veeam or DoubleTake.  This will result in a much shorter downtime required to switch over from running on-premises to a cloud provider. As an established cloud service provider, iland helps customers to migrate their physical and virtual servers to the public or private cloud.

If this is all starting to sound too good to be true let me reassure you, there are very few pitfalls. Sure, in the early days there was a slight performance overhead associated with virtualisation when compared to the raw physical server, but these days server and storage technology have all but removed that.

Future developments

Virtualisation technology has matured over the past few years. The new developments are really around automation and the final virtualisation of networking which together allow for what is often termed the Software Defined Data Centre. In this world everything from servers, storage and networking can be defined and controlled through software. The utopia is where virtual machines can be moved and managed using common networks wherever they happen to be.

Virtualisation offers a host of benefits and very few challenges as the market matures.  That said without right-sizing VMs and failing to track and anticipate resource needs, businesses could face issues such as VM sprawl and over consumption, so it does need to be tightly managed.  My advice is that businesses should plan for the long-term to make sure that they have enough resources on hand to meet future business demands.

Microservices job postings soar over the past 12 months, argues Rackspace

If you want to get ahead, get tooled up on microservices as vacancies for job roles have gone up by 133% over the last year, according to the latest report from Rackspace.

Microservices, which enable applications to become more agile and prevent servers from being jammed, are becoming increasingly prevalent in a world of data overload. Think of the stat, as Microsoft CEO Satya Nadella put it at BUILD earlier this month, that 90% of the data in the world today have been created over the last two years, or the fact that 300 hours of video are uploaded to YouTube every minute, and you get the idea of its importance.

It’s also forcing change in other areas, Rackspace argues. Job postings for agile software development, a fundamental skill in microservices, went up 16% over the past 12 months, while skills for more traditional service-orientated architecture (SOA) declined by 22%.

Skills with regard to container technologies continued to gain ground in the past year, with demand for engineers versed in Google Kubernetes going up an astonishing 919% since 2016, with Docker continuing to tick over nicely at 83%. The rise in Docker-related job postings had gone up 341% and 991% over the previous two years, so there is something of a slowdown.

“The demand for different technology skills, and consequently, the rise in new job roles are constantly evolving in the IT sector both in the UK and beyond,” said Darren Norfolk, managing director of Rackspace UK. “In 2015, we saw the number of cloud engineering roles grow dramatically, but now we’re seeing a demand for more nuanced, specific skills emerge.

“This will only become more pronounced as businesses expand and look for expertise to help manage different elements of their business,” he added. “Business leaders must be able to plan ahead and make sure they have skills in the right areas in order to benefit both the business going forward, and the employees who work in it.”

CloudTech’s 2017 examination of the key cloud skills needed for success, as provided by Firebrand Training, include database and big data skills, application security, enterprise cloud migration, cloud enterprise application development, as well as containers.

Read more: The top five in-demand cloud skills for 2017

Google’s Next Frontier – a New AI Chip

Artificial intelligence, AI for short, is almost overtaking software to become the preferred technology for all operations. This is not a surprising trend because AI is the next generation of machines that come with the ability to learn and implement certain behavior without needing a constant intervention from humans. AI is becoming a reality sooner than we may have guessed, and Google wants to lead the way.

During the company’s annual conference, its CEO, Sundar Pichai, announced that the company will be releasing a new computer chip that can perform advanced machine learning and AI tasks. Called Cloud Tensor processing Unit, this chip is named after Google’s open-source machine learning framework called TensorFlow.

Machine learning, deep learning, supercomputers and AI technologies have been transforming tech companies and its clients over the last few years, and this announcement from Google has made this trend official now. In many ways, AI is transforming Google and its operations too, so it is only natural that this company wants to set the trend and capture the AI market even when it is in its nascent stages.

So, what’s this new chip all about? What’s new in it? Well, lots!

This chip is being dubbed as the first one that can work at blistering speed not only in its executions, but also in its ability to learn. In other words, this chip can be trained incredibly fast and this can be a vital difference that can set this chip apart from others in the same category.

Let’s take a simple example. You want a machine to identify a pizza from other foods such as hot dogs, salads and burgers. To do this, you’ll have to feed in hundreds of different images of pizzas along with other foods to help the system to learn. The sheer amount of calculations needed to train such a model is mind-boggling and complex, so it can take days or even weeks for a system to identify a pizza from other foods.

Google wants to simplify this process, so the learning process is shortened greatly. To do this, the company plans to create machine learning supercomputers called cloud TPU pods. Many Cloud TPUs will be wired together using high-speed data connection. As a result, the learning will be split across different TPUs and they will happen in parallel, thereby leading to a shorter learning curve.

According to Pichai, Google wants to create thousands of TPUs and make them available over the Internet so that it can benefit researchers and developers in a big way. To start with, Google announced that it will share 1,000 TPUs with artificial intelligence researchers to help them in their studies.

In addition to this AI chip, Google plans to create algorithms that will fine-tune other machine learning algorithms and was developing AI tools for advanced studies such as genome analysis, molecular discovery and more.

In all, this is a great initiative from Google and one that could potentially transform our society in a big way. In return, Google can emerge as the leader of the AI chip market, right from its very beginning.

The post Google’s Next Frontier – a New AI Chip appeared first on Cloud News Daily.

Silicon India Named “Media Sponsor” of @CloudExpo | @SINewsUpdates #IoT #AI #DX #DevOps

SYS-CON Events announced today that Silicon India has been named “Media Sponsor” of SYS-CON’s 20th International Cloud Expo, which will take place on June 6–8, 2017, at the Javits Center in New York City, NY. Published in Silicon Valley, Silicon India magazine is the premiere platform for CIOs to discuss their innovative enterprise solutions and allows IT vendors to learn about new solutions that can help grow their business.

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Join @JuniperNetworks at @CloudExpo NY | #AI #DX #DigitalTransformation

SYS-CON Events announced today that Juniper Networks (NYSE: JNPR), an industry leader in automated, scalable and secure networks, will exhibit at SYS-CON’s 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY.
Juniper Networks challenges the status quo with products, solutions and services that transform the economics of networking. The company co-innovates with customers and partners to deliver automated, scalable and secure networks with agility, performance and value.

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Join @JuniperNetworks at @CloudExpo NY | #AI #DX #DigitalTransformation

SYS-CON Events announced today that Juniper Networks (NYSE: JNPR), an industry leader in automated, scalable and secure networks, will exhibit at SYS-CON’s 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY.
Juniper Networks challenges the status quo with products, solutions and services that transform the economics of networking. The company co-innovates with customers and partners to deliver automated, scalable and secure networks with agility, performance and value.

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Nutanix “Platinum Sponsor” of @CloudExpo NY & CA | #IoT #AI #DX #DevOps

DevOps is often described as a combination of technology and culture. Without both, DevOps isn’t complete. However, applying the culture to outdated technology is a recipe for disaster; as response times grow and connections between teams are delayed by technology, the culture will die. A Nutanix Enterprise Cloud has many benefits that provide the needed base for a true DevOps paradigm.

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Case Study: Driving Research Discoveries with an End-to-End Solution | @CloudExpo @DDN_limitless #Cloud #Storage #Analytics

Van Andel Institute has a 20-year legacy of biomedical research and scientific education with a focus on improving health and enhancing the lives of current and future generations. Formed in 1996 by Jay and Betty Ann Van Andel, the Grand Rapids, Michigan-based organization has evolved into a premier center for research and education that supports more than 360 scientists, educators, and staff.
At Van Andel Research Institute (VARI), a dedicated team works tirelessly to determine the epigenetic, genetic, molecular and cellular origins of cancer, Parkinson’s and other diseases. Using state-of-the-art technologies and instrumentation, the Institute’s scientists are working to translate discoveries into highly innovative and effective diagnostics and treatments.

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[session] Deep Learning Training Workloads By @Supermicro_SMCI | @CloudExpo #AI #DL #ML #Cloud

Recently, Machine Learning leaped into the computing mainstream and now ML is advancing across all enterprise applications. GPU usage models are penetrating new industries and advanced servers with GPUs will take deep learning to new performance levels that augment Artificial Intelligence. New server architecture innovations will drive higher levels of performance in ML applications. As GPUs become more powerful, GPU networks will need to be more efficient as well. Supermicro has advanced the state-of-the-art in GPU-optimized server architectures, perfect for the emerging deep learning applications.

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[session] Deep Learning Training Workloads By @Supermicro_SMCI | @CloudExpo #AI #DL #ML #Cloud

Recently, Machine Learning leaped into the computing mainstream and now ML is advancing across all enterprise applications. GPU usage models are penetrating new industries and advanced servers with GPUs will take deep learning to new performance levels that augment Artificial Intelligence. New server architecture innovations will drive higher levels of performance in ML applications. As GPUs become more powerful, GPU networks will need to be more efficient as well. Supermicro has advanced the state-of-the-art in GPU-optimized server architectures, perfect for the emerging deep learning applications.

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