Microsoft has been investing heavily into high-performance computing infrastructure, evolving Azure into a cloud built for HPC as opposed to running HPC in the cloud. Hear each PM owner walk through software, infrastructure, networking, and storage considerations for their respective areas along with key design considerations that apply to HPC, AI, and Visualization application workload scenarios.
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The moving of applications, databases and other business elements from the local server to the cloud server called cloud migration. This article will deal with migration techniques, requirement and the benefits of cloud migration.
In simple terms, moving from local to the public cloud server is called cloud migration. Gartner says 17.5% revenue growth as promised in cloud migration and also has a forecast for 2022 as shown in the following image.
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A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.
Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.
By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.
However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.
Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.
Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.
Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.
Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.
The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.
For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.
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Fractal Analytics Acquires AI solution provider Zerogons to strengthen Fractal’s Cloud AI business and accelerate the ‘data to decisions’ journey for its Fortune 500 clients.
Analytics solution provider, Fractal Analytics recently announced the acquisition of enterprise AI solutions platform for data scientists and data engineers, Zerogons. The amount of the acquisition is not disclosed and is stated as it will help strengthen Fractal’s Cloud AI business and accelerate the ‘data to decisions’ journey for its Fortune 500 clients.
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Hybrid cloud solutions are the next step in the digital transformation of the healthcare industry. Here’s how healthcare can benefit from cloud infrastructure.
Learn More at : Cloud Technology Solutions
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Today cognitive computing and cognitive services are a large growth place that has been valued at US$ four.1 billion in 2019 and its market is predicted to develop at a CAGR of round 36 percent, according to a marketplace report. A wide variety of groups are using cognitive services to enhance insights and consumer experience at the same time as increasing operational efficiencies through system optimization. Such technology are set to be a sizable aggressive differentiator in nowadays’s era. Cognitive technologies will permit businesses to stay in advance of the competition when it comes to expertise and improving purchaser revel in.
As it’s miles acknowledged, cognitive is highly aid-extensive, requiring powerful servers, deep technical skill-sets, and frequently main to a high degree of technical debt, that is why, for a long time, Cognitive changed into restricted to big businesses inclusive of the Fortune 500s.
However, with the introduction of the cloud, this has been absolutely overturned. As stated by way of Medium, the cloud allows developers to build Cognitive models, check answers, and integrate with current structures with no need bodily infrastructure. While there are nevertheless aid fees involved, firms can flexibly enroll in cloud assets for cognitive improvement and downscale as and when important.
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