Jun 19, 2020

Choosing the right cloud is key to digital transformation

Cloud
CAPEX
opex
AI
Scott Leatherman
4 min
Here’s how you can rationalise your infrastructure and determine if there are cloud expenses you can reclaim
Here’s how you can rationalise your infrastructure and determine if there are cloud expenses you can reclaim...

If you’ve been operating in the cloud for some time now, chances are your business has changed since you first made that move and particularly during the current climate. Has your cloud usage grown considerably—and your OpEx costs? Is that just the cost of doing business in the cloud? It doesn’t have to be. Here’s how you can rationalise your infrastructure and determine if there are cloud expenses you can reclaim and even if it makes sense to move some of your cloud deployments into co-location.

The rush to the public cloud has now slowed as organisations realised that it is not a ‘one size fits all’ solution. The main issue is the lack of deep visibility into the performance of applications provided by the host. Our own research has recently revealed that 32% of public cloud resources are currently under-utilised, and without proper direction and guidance this will remain the case. What is needed is real-time data and intelligent recommendations to lower costs and assure performance.

In order to optimise cloud resources, a third party AIOps based resource is needed. This will provide an independent and granular view of how applications are using capacity and if it is right-sized. In addition, it will monitor the performance of the applications in real time and provide metrics and analytics to eliminate bottlenecks. The allocated capacity can also be monitored to ensure an accurate match to workload requirements via real-time performance data.

Although the major hosts provide cost optimisation tools, these are not very accurate. Analysis of billing and how it matches capacity over time as well as in real time is what is needed for the cloud to remain a vital part in IT infrastructure. Armed with this information you can plan capacity purchases and discover wasted spend. By using a single platform for cloud management, you can monitor your infrastructure, plan capacity, and eliminate performance risks. Performance bottlenecks can be predicted before they affect clients and SLAs with multi-conditional alerting powered by advanced anomaly detection.

Cloud solutions are not only publicly provided by the likes of AWS and Azure. Co-location is also a strong option where your applications are managed on your behalf by a system integrator. This is increasingly becoming a stronger option for more business-critical applications. But to determine which is best for you, you need to start with the facts.

The “Cloud” promises IT organisations unprecedent value in the form of business agility, faster innovation, superior scalability and most importantly - cost savings. For many organisations, it is at the core of their IT digital transformation strategy. It is a disruptive force that requires application workload behavior knowledge, careful planning and collaboration from well-informed, trusted advisors.

As a first step, enterprises frequently target a subset of their less critical on-premises applications for migration to the public cloud. Typically, organisations will take one of two paths to the cloud.

A. Going cloud native. Rewrite your application to use resources offered by a cloud provider.

B. Lift and shift. Very minimal or zero code changes to the application. Largely, just replicate the application in the cloud.

The faster time-to-production choice is to “lift and shift” the targeted applications to a Cloud Service Provider’s Infrastructure as a Service (IaaS). In the lift and shift option, the advantage is reduction in the cost incurred in the physical infrastructure like hardware, floor space, cooling, security etc. and the management of that infrastructure. Savings will differ depending on your unique computing resource needs, workload refactoring and business models.

Even in its simplest form, IaaS migrations must be carefully planned requiring answers to some fundamental questions:

1. Will my application perform as expected in a public cloud? (Application Fitness)

2. How much will it cost to run my applications in a public cloud? (OpEx)

3. Which cloud service provider is the best choice for my applications? (Cost and Fit)

IT managers need answers to these questions before the actual migration is performed. As most internal IT organisations don’t have deep cloud expertise, the question becomes who you can trust to provide you with the answers – to help you make better business decisions.

As technology and the cloud stands to play an ever-increasing role throughout organisations, ensuring that you’re adopting the right type of infrastructure specifically for your business has never been more vital for continued success. Choosing a service that provides the answers to your key questions before the actual migration takes place and prepares you with vital insights into your applications and workloads targeted for cloud migration has to be an important part in the decision-making process.

As organisations continue to battle the COVID-19 storm, understanding the product that will overhaul your IT infrastructure, before you fully buy into it, is going to provide the confidence and assurance you need to make that decision a little less cloudy.

By Scott Leatherman, CMO, Virtana 

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Jun 23, 2021

Timeline: Nvidia

Nvidia
graphics
AI
enterprise
2 min
As Nvidia ramps up to activate its AI solutions, we take a look at the company’s history

1993 – Founding

Jensen Huang from AMD, and Chris Malachowsky and Curtis Priem from Sun Microsystems, saw a market to improve graphics performance with dedicated hardware. They sensed that computer games would become a huge market and set out with $40,000 to found Nvidia.

1993 – Funding

Having named the company after a file-naming system they had devised, the trio needed funding, which came in the shape of a $20 million venture capital round led by Sequoia Capital. 

1998 – Breakthrough

Nvidia had some success but their breakthrough would come with the introduction of the RIVA TNT graphics adapter. The following year, the company released the GeForce 256, which had on-board transformation and lighting. The GeForce comfortably led competitors.

2000s – success

Nvidia won the contract to develop graphics hardware for Microsoft’s Xbox and would go on to provide similar services to Sony for the Playstation 3. A slew of acquisitions and awards made Nvidia a household name in graphics.

2020 – Cambridge-1

The benefits of using the awesome power of graphics hardware to process other data was not lost on Nvidia, which announced plans to build the Cambridge-1, the UK’s most powerful computer. The company’s future in AI hardware development is virtually secure.

Photo credit: Nvidia

 

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