Difference between revisions of "Introduction to Cloud Computing"

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Cloud computing is not the future, but already the present. Garner reports that by 2025, 95 percent of new digital workloads will utilize cloud-native platforms. Cloud revenue was also estimated to surpass non-cloud revenue bringing forth the need for skilled cloud computing professionals in the IT industry.<br/>
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Cloud computing is not the future, but already the present. Garner reports that by 2025, '''95%''' of new digital workloads will utilize cloud-native platforms, and '''more than 85%''' of organizations will embrace a cloud-first principle. Cloud revenue was also estimated to surpass non-cloud revenue bringing forth the need for skilled cloud computing professionals in the IT industry.<br/>
  
 
'''What is Cloud Computing?'''<br/>
 
'''What is Cloud Computing?'''<br/>
In short words, cloud computing is the delivery of the computing resources as a service. The computing resources include storage (object and network shared storages), databases (SQL and NoSQL databases), compute power (virtual machines, serverless, and Kubernetes), and networking (virtual private cloud). A person can obtain all the functionalities for his/her workloads from the on-premise data centres. <br/>
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In short words, cloud computing is the delivery of the computing resources as a service. The computing resources include storage (object and network shared storages), databases (SQL and NoSQL databases), compute power (virtual machines, serverless, and Kubernetes), and networking (virtual private cloud). A person can obtain all what the on-premise data centres offer in cloud. <br/>
  
 
'''Is it easy to use?'''<br/>
 
'''Is it easy to use?'''<br/>
As a user of cloud computing to develop your ocean AI projects, you don't need to be a cloud expert. You simply tell us your technical requirements and we will setup the storage and compute environment for you. We then guide you through how to use it to train your machine learning models or process your data. The learning curve is way shorter than that of the on-premise data center.<br/>
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It may cause a person a bit uncertain to use cloud for the first time. However, you don't have to be a cloud expert to use the cloud services. You simply tell us your technical requirements of your machine learning or data processing projects, and we will setup the cloud storage and compute environment for you. We will guide you through how to use it to train your machine learning models or process your data. The learning curve is way shorter than that of the on-premise data centre.<br/>
  
 
'''Is my data secure in cloud?''' <br/>
 
'''Is my data secure in cloud?''' <br/>
Your data won't be safe anywhere as long as you don't have professionals to secure it. Almost all data breach is caused by humans, but not technologies. At DeepSense, we apply the best practices of security measures of AWS, GCP, and Azure to make your data very secure. <br/>
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Your data won't be safe anywhere as long as you don't have professionals to secure it. Almost all data breach is caused by humans, but not technologies. At DeepSense, we apply the best practices of security measures to make sure your data is secure. <br/>
When we use storage on cloud, we not only make your data secure, but also super durable. For example, the super high durability of AWS S3 storage guarantees that the probability of your data loss is 0.00000000001%.<br/>
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When we use storage on cloud, we not only make your data secure, but also durable. For example, the super high durability of AWS S3 storage guarantees that the probability of your data loss is 0.00000000001%.<br/>
  
 
'''Do my jobs have to wait for compute resources in a queue?'''<br/>
 
'''Do my jobs have to wait for compute resources in a queue?'''<br/>
Due the "unlimited" resources in cloud, you never wait for your resources in a queue. There are always available resources for you to use. As long as you make your data and machine learning models ready, the wait time is "zero".<br/>
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Due to the "unlimited" resources in cloud, you never wait for your resources in a queue. There are always available resources for you to use. As long as you make your data and machine learning models ready, the wait time is "zero".<br/>
  
'''There are some characteristics of cloud computing that you may not use, but it is good to understand them. They are:'''<br/>
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'''Here we list the characteristics of cloud computing if you are interested in understand more about it.'''<br/>
 
1. "Unlimited" storage<br/>
 
1. "Unlimited" storage<br/>
 
2. High elasticity and scalability<br/>
 
2. High elasticity and scalability<br/>

Revision as of 19:18, 5 March 2023

Cloud computing is not the future, but already the present. Garner reports that by 2025, 95% of new digital workloads will utilize cloud-native platforms, and more than 85% of organizations will embrace a cloud-first principle. Cloud revenue was also estimated to surpass non-cloud revenue bringing forth the need for skilled cloud computing professionals in the IT industry.

What is Cloud Computing?
In short words, cloud computing is the delivery of the computing resources as a service. The computing resources include storage (object and network shared storages), databases (SQL and NoSQL databases), compute power (virtual machines, serverless, and Kubernetes), and networking (virtual private cloud). A person can obtain all what the on-premise data centres offer in cloud.

Is it easy to use?
It may cause a person a bit uncertain to use cloud for the first time. However, you don't have to be a cloud expert to use the cloud services. You simply tell us your technical requirements of your machine learning or data processing projects, and we will setup the cloud storage and compute environment for you. We will guide you through how to use it to train your machine learning models or process your data. The learning curve is way shorter than that of the on-premise data centre.

Is my data secure in cloud?
Your data won't be safe anywhere as long as you don't have professionals to secure it. Almost all data breach is caused by humans, but not technologies. At DeepSense, we apply the best practices of security measures to make sure your data is secure.
When we use storage on cloud, we not only make your data secure, but also durable. For example, the super high durability of AWS S3 storage guarantees that the probability of your data loss is 0.00000000001%.

Do my jobs have to wait for compute resources in a queue?
Due to the "unlimited" resources in cloud, you never wait for your resources in a queue. There are always available resources for you to use. As long as you make your data and machine learning models ready, the wait time is "zero".

Here we list the characteristics of cloud computing if you are interested in understand more about it.
1. "Unlimited" storage
2. High elasticity and scalability
3. Adequate services
4. Huge network access
5. Pay-per-use pricing
6. Hight resiliency and availability
7. On-demand service
8. Zero maintenance
9. Fine-grained reporting service
10. Security
11. Automation
12. Customizable and flexible payment structure
13. Work from anywhere
14. Cost-saving
15. Highly customizable monitoring structure and logging system