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You probably know that you need to learn the CLOUD (public cloud)…but what about Hybrid-Cloud??
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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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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Most large enterprises understand the value of the cloud. But of course, there are major challenges in making the transition because of the costs and risks of ripping out legacy systems. This is why the hybrid cloud is becoming important.
“There is a classic definition of hybrid cloud, and a few that are market evolved,” said David Linthicum, who is the Chief Cloud Strategy Officer at Deloitte Consulting LLP. “The classic definition, as defined by the National Institute of Standards and Technology, is a paired private (exists on premises) and public cloud. An organization is able to run applications on either the private or public side, or in some cases even run a single application on both private and public clouds. The market evolved definition of hybrid cloud, on the other hand, is a bit more loosely defined. Those hybrid clouds, while still leveraging a public cloud, are different types of systems that exist on premises, such as mainframes, traditional servers, etc. They function like a hybrid cloud in that they can leverage either the on-premises systems, the public cloud systems, or both in support of application and database processing. This often goes by other names, such as hybrid IT. I call it pragmatic hybrid clouds.”
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Today, organisations use a mix of cloud and on-premise resources to achieve agility, security, and security. While the cloud offers a range of benefits, visibility and security issues pose a challenge.
As per IBM’s 2020 Cost of a Data Breach Report, businesses lost $3.86 million per data breach incident. The survey was jointly conducted by IBM and Ponemon Institute, reviewing 524 companies from 17 countries and 17 sectors. The report said cloud misconfiguration was among the leading causes of data breaches, accounting for about one in five data breaches studied.
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For most businesses, an ideal cloud solution is not deploying a single cloud, whether public or private. Instead, the right choice is to set up two or more cloud solutions.
When deploying multiple clouds, a business has two options. Either set up a hybrid cloud or go with a multi-cloud strategy. While similar, these deployment types have differences a decision-maker must know when planning a move to the cloud.
This article outlines the main differences between multi and hybrid clouds. Read on to learn about both cloud computing strategies and see what factors you should consider when choosing between these deployment models.
Multi and hybrid clouds are similar, but these cloud deployment models have unique definitions and solve different business needs.
In a multi-cloud strategy, a company uses multiple cloud services of the same type from different providers. Partnering with several vendors enables a company to:
Most multi-cloud setups include a mix of public cloud providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Bare Metal Cloud (BMC), Microsoft (Azure), and IBM. Every cloud in a multi-cloud setup handles specific workloads, so there are typically no workload integrations between infrastructures.
Our article about multi-clouds offers an in-depth analysis of the model’s benefits, challenges, and most suitable use cases.
In a hybrid cloud environment, a company combines a public cloud with a private cloud or an on-premise data center. The most popular hybrid strategy is running app code on an in-house setup (either a data center or a private cloud) and cloud bursting into the public infrastructure in times of high traffic.
Hybrid deployments are common, and the two most typical scenarios are:
Unlike a multi-cloud strategy, a hybrid setup relies on deep orchestration between different cloud platforms. The goal is to create a unified environment in which separate systems communicate and handle the same IT workloads.
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