Google Cloud Platform is one of the fastest-growing cloud platforms.
How can an AWS professional learn Google Cloud Platform quickly?
That’s the question we focus on in this course!
Enterprises are going multi-cloud. It is NOT sufficient to know JUST one cloud anymore. You would need to understand multiple clouds. In this course, you will learn Google Cloud by building on your AWS knowledge.
Instead of learning Google Cloud Platform the same way you learned AWS, you will learn GCP comparing GCP services with AWS services. You will learn Google Cloud Platform using AWS as the stepping stone.
By the end of the course, you will see that learning Google Cloud Platform - GCP is very easy when already know AWS!
I’m a great believer that the best way to learn is by doing and we designed this course to be hands-on. You will play with a number of Google Cloud services. You will be exposed to modern architecture trends - serverless, microservices, containers, container orchestration (Kubernetes). And by the end of the course, you will understand all the important Google Cloud services.
The world of data analytics and technology have been dramatically altered by cloud computing. The two companies which are known for providing tremendous cloud computing technologies are- Google Cloud Platform and Amazon Web Services.
This artcile highlights the comparison between these big companies.
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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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Data Management has taken a new turn with the introduction of Cloud Storage which has resulted in requirements for Cloud Computing. It is nothing but the data processing system that takes away a load of data management from the hands of individual devices.
Want to use cloud computing like Amazon Web Services (AWS) for your business data?
WebClues Infotech has been an expert in helping businesses with AWS cloud computing for years. We have helped the majority of our client base with AWS cloud computing to solve their data management needs.
Share your requirements https://www.webcluesinfotech.com/contact-us/
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Mobile App Development India engineers, who hold years of experience in building data centers in the cloud. Being AWS partner, our app developer’s offer spearhead integration services for Cloud to Cloud and Business-to-Business for all three models - SaaS, PaaS and IaaS.
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