Amazon Web Services vs Microsoft Azure vs Google Cloud Platform - they’re the big three players in cloud computing, but which is the best cloud provider and how do you choose between them? In this video we compare AWS, Azure, and GCP at an organizational level. We take a look at their origins, market share, growth rate, ownership, cloud services, key customers, and strengths and weaknesses. We also explore how to choose which cloud provider is right for your business and your career. If you’re curious about how AWS, Azure, and GCP match up, this video is for you!
0:38 The origins of AWS, Azure, and GCP
3:30 Who owns AWS, Azure, and GCP, and how they report cloud revenue
5:00 Enterprise customers of AWS, Azure, and GCP
6:16 What are the key strengths of AWS, Azure, and GCP?
7:46 What are the key challenges facing AWS, Azure, and GCP?
10:00 How do I choose which cloud provider is best for me?
#gcp #gcp #aws
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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As the world reels under this economic meltdown caused by the pandemic, experts suggest that a rebound spearheaded by the technology sector is expected in the coming year. When every business, every service and every brick-and-mortar store was shut down, the ‘online’ or the ‘cloud’ helped salvage the situation for many across the world. This year saw many organizations embracing the cloud with a view to keep their businesses afloat amid the cloud of uncertainties. However, the challenge of finding skilled manpower still lurks on the fate of this hopeful prediction. Economic reconstruction and the situation of the job market greatly depend on the probability of sourcing the right talent to fill these positions with specialized skillsets.
Whether you’re ordering food online, watching your favorite show on a video streaming app, paying your credit card bill through online banking, or participating in a virtual event – all these and many other tasks that you accomplish everyday using a smartphone or internet – actually depend on services that run on a cloud platform. For many organizations, the need to get their workforce trained on cloud does not only apply to IT or technical staff. In fact, investing in cloud training for an employee of any vertical - marketing, sales, operations, finance, or even HR – is being the trigger that accelerates collaboration to reach the end business goal. Apart from that, an organization’s cloud acumen helps increase employee confidence and ability to innovate and experiment.
AWS Certified Cloud Practitioner Training is the right path to get certified and begin a fruitful and rewarding cloud journey. It builds a solid foundation of cloud skills and prepares the learners for more sophisticated and technical cloud certifications. The best thing about this Amazon Cloud Practitioner certification is that anyone can acquire valuable cloud skills irrespective of their technical or non-technical background. No programming or coding experience or knowledge is required as a pre-requisite in order to enroll for AWS cloud Practitioner Essentials Course.
If you are new to cloud, have a non-technical background, or wish to learn the basic working knowledge of cloud, the AWS Certified Cloud Practitioner Training can be your starting point.
Here is what you or your employees learn when you enroll for an AWS Cloud Practitioner Course:
• What is AWS Cloud?
• Fundamentals of operating and deploying AWS Cloud
• Global architecture and architectural principles of AWS cloud
• AWS Cloud value proposition
• Key services and some common use cases of AWS platform
• AWS security and compliance
• AWS shared security model
• AWS platform’s billing, account management, and pricing models
**### Where to Get Training on AWS Cloud Practitioner Essentials **
The pandemic may have brought the world to a standstill, but it sure has proved to be a boon for those interested in learning new skills. It is a golden period to acquire valuable skills that help an individual take a step further in their professional or personal growth. Internet has played a huge role in this area as well. For those who seek to learn and grow, everything is available at the click of a button. Any course, any skill, any trainer – is available online to help you fulfill your learning goals. With virtual trainings and online classes, the whole world seems to shrink, and everything becomes accessible anytime, anywhere.
However, in the cacophony of online courses, learners need to pick and choose the ones that add value to their skillset. For this purpose, it is advised to prefer only authorized providers for training. Amazon Web Services has authorized training partners and authorized instructors who are accredited to provide trainings of such technical expertise. NetCom Learning is one such authorized training provider that offers various technical courses including AWS Cloud training programs. The company also has AWS Authorized Instructors who are Champion-level trainers. NetCom Learning currently has the AWS Cloud Practitioner Course on a promotional offer.
### Get AWS Certified Cloud Practitioner Training at $99
As part of a promotional offer, NetCom Learning is offering a one-day AWS Cloud Practitioner Course at $99 for the class on December 14th, 2020. The actual price for this course is $675. Since this huge discount is available for one day only, it’s a great opportunity for those who are looking to earn cloud skills. This guaranteed-to-run class will cover all topics in an 8-hour session on the specified date. Use Promo code AWSCPE99 to unlock the discounted price. Learners interested to get AWS Cloud Practitioner certified will also get an additional one-hour where the instructor will guide them on tips and resources to ace the certification exam. Limited seats are available for this promotional session.
Since the certification exam costs $100, if you enroll for this training, you can get trained and certified at $199 only. This is the right time and right opportunity to gain cloud skills and begin your learning journey.
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In the midst of this pandemic, what is allowing us unprecedented flexibility in making faster technological advancements is the availability of various competent cloud computing systems. From delivering on-demand computing services for applications, processing and storage, now is the time to make the best use of public cloud providers. What’s more, with easy scalability there are no geographical restrictions either.
Machine Learning systems can be indefinitely supported by them as they are open-sourced and within reach now more than ever with increased affordability for businesses. In fact, public cloud providers are increasingly helpful in building Machine Learning models. So, the question that arises for us is – what are the possibilities for using them for deployment as well?
Model building is very much like the process of designing any product. From ideation and data preparation to prototyping and testing. Deployment basically is the actionable point of the whole process, which means that we use the already trained model and make its predictions available to users or other systems in an automated, reproducible and auditable manner.
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Having taken over our daily communications almost entirely, the web is constantly evolving and expanding. With this continuous expansion, it provides you with more and more data that you consume daily. However, all the information that appears on the web, every like, subscription, tweet, downloaded video, or uploaded vlogs, making all of this possible requires a highly sophisticated computational process working behind it, constantly.
The smooth functioning of the web has more to it than just the computational procedure. Current web services operate through a solid and intricate network of RAM, containers, database engines as well as machine learning skills.
#aws #azure #cloud computing #google cloud #cloud vendors #cloud