Is cloud computing easy to learn? I regret dying of learning cloud computing

Hello, for the problems you encounter, I am happy to help you, I have encountered yo before, the following is my personal opinion, I hope to help you, if there is a mistake, I hope to forgive me!.

With the popularization of cloud computing, more and more IDC applications and applications have begun to move to the cloud, so at the same time, for us IT practitioners, we are also facing the challenge of accelerating the learning of cloud computing and not being eliminated by new technologies. So let's talk about how to learn cloud computing faster!

1. Learning ideas.

a) It is advisable to understand before studying.

i.What is cloud computing.

ii.What is the impact of cloud computing on current business models.

iii.The technology involved in cloud computing.

iv.The State of Cloud Computing.

b) Cloud computing can be divided into two categories: broad and narrow, and cloud computing in the narrow sense refers to the delivery and use mode of IT infrastructure. It refers to obtaining the required resources through network demand and expansion; Cloud computing in a broad sense refers to the use and delivery mode of services, which refers to obtaining corresponding services through the network according to demand and expansion. This kind of service can be IT, software, Internet, or any other service, and it has unique functions such as hyperscale, virtualization, and reliable security.

Cloud computing has the following features:

i.With a large scale, the average enterprise private cloud has hundreds or thousands of servers, and some even millions of servers.

ii.With virtualization, users can access application services at any time using any terminal.

iii.High reliability: The cloud applies measures such as multi-copy fault tolerance of data and homogeneous interchangeability of computing nodes.

iv.Versatility, that is, the same cloud can support different applications to run.

v.High scalability, cloud scale can be dynamically scaled to meet the growth of application and user needs.

vi.On-demand services, the resources of the cloud are huge and can be purchased on demand, a bit like "communism." ism" of the on-demand distribution of it. Hehe.

vii.and its cheap, "cloud" special fault-tolerant measures. The versatility of the "cloud" greatly improves the utilization of resources compared with traditional systems, making it more "affordable" to use.

2. Application platform.

a) Popular cloud computing platforms (with free trials) to see what services cloud computing includes. Like cloud computing, cloud storage, cloud resolution, etc.

3. The learning content of different positions.

a) For learning, I think it can be divided into two directions:

i.Big data, Nosql: Hadoop, HBase, Cassandra, and some theories (CAP, Base, etc.).

ii.Cloud platform (IaaS, PaaS): You can study virtualization technologies (KVM, Hyper-V, etc.), OpenStack, ESXi and other IaaS technologies. In terms of PaaS, you can look into CloudFoudry.

Look at your background foundation. If you are a system administrator or network administrator, cloud computing is easier to learn than mobile Internet. If you are a recent graduate or a current student, cloud computing should be much more difficult than mobile Internet.

1.Determine the reason: Think about why you regret it, whether it's because of a difficult learning process, a lack of interest, or something else.

If you encounter difficulties in your studies, you can seek help and support. You can ask teachers, classmates, industry experts, or the **community for guidance and advice. They may offer practical advice and resources to help you overcome your difficulties.

3.Adjust your learning methods: If learning cloud computing doesn't work for you, you can try adjusting your learning methods.

Explore different learning resources, materials, or learning platforms to find the learning style that works for you. 4.Re-evaluate interest:

If you're not interested in cloud computing, you can reassess your interests and career goals. Consider whether there are other areas or skills that are better suited to your interests and development. ♥5.

Explore other areas: If you decide that cloud computing isn't right for you, you can try exploring other areas or skills. Everyone has their own interests and areas of expertise, and finding a direction that suits them may lead to better opportunities for development.

Most importantly, don't give up because of momentary difficulties or regrets. People face challenges and difficulties in the process of learning and career development, and the key is to stick to it and find a path that suits you. ♥

How about the cloud computing technology major, is it easy to get a job.

2.Seek support: Seek help and support if you are having trouble studying.

Adjust your learning methods: If learning cloud computing doesn't work for you, you can try adjusting your learning methods. Explore different learning resources, materials, or learning platforms to find the learning style that works for you.

4.Reassess your interests: If you're not interested in cloud computing, you can reassess your interests and career goals.

Consider whether there are other areas or skills that are better suited to your interests and development. ♥5.Explore other areas:

If you're sure that cloud computing isn't right for you, you can try exploring other areas or skills. Everyone has their own interests and areas of expertise, and finding a direction that suits them may lead to better opportunities for development. Most importantly, don't give up because of momentary difficulties or regrets.

People face challenges and difficulties in the process of learning and career development, and the key is to stick to it and find a path that suits you. ♥

Dear, cloud computing is really boring, but it is really good to learn it well and get a high new job, because it is boring, and some give up, and those who stick to it are elites.

It's hard, it's complicated.

Many technologies are used in the cloud computing system, among which programming model, data management technology, data storage technology, virtualization technology, and cloud computing platform management technology are more critical.

According to the different skill needs of various enterprises for cloud computing talents, job seekers also need to learn different skills, such as planning to engage in big data, NoSQL fields, need to master Hadoop, HBase, Cassandra and some theories (CAP, Base, etc.);

If you want to work in cloud platforms (IaaS, PaaS), you can look into virtualization technologies (KVM, Hyper-V, etc.), OpenStack, ESXi, etc.

Harder. The academic qualifications of study should be college degree or above.

Cloud computing is currently a very hot IT technology, and learning requires a college degree or above, so it will be easier for computer students to understand and progress faster. As for the way of learning, you can choose to study on your own, or you can choose institutional studies, and if you want to study institutions, you must choose a reliable institution.

The main contents of cloud computing learning are:Network foundation and Linux system management;

Optimized and highly available skills;

virtualization and cloud platform technologies;

DevOps. If you want to learn systematically, you can investigate and compare the popular schools that offer IT majors, and good schools have the ability to independently develop courses according to the needs of current enterprises.

Cloud computing (cloud

computing) is a model for the addition, use, and delivery of Internet-based services, typically involving the provision of dynamically scalable and often virtualized resources over the Internet. Cloud is a metaphor for the network, the Internet. In the past, clouds were often used to represent telecommunication networks in diagrams, and later they were also used to represent the abstraction of the Internet and the underlying infrastructure.

As a result, cloud computing allows you to experience even 10 trillion operations per second, which is so powerful that you can simulate nuclear, climate change, and market trends. Users access the data center through computers, laptops, mobile phones, etc., and perform calculations according to their own needs.

There are several ways to define cloud computing. There are at least 100 explanations that can be found as to what exactly cloud computing is. The most widely accepted definition at this stage is the National Institute of Standards and Technology (NIST):

Cloud computing is a pay-as-you-go model that provides available, convenient, on-demand network access to a shared pool of configurable computing resources (including networks, servers, storage, applications, and services) that can be quickly provided with little management effort or minimal interaction with service providers.

Cloud Computing Learning Recommendations:

The foundation is the key, while dabbling in a wide range of technologies, the knowledge field learned and understood must be systematic, and it is best to grasp a direction as a skill. In the process of learning, the emphasis is on understanding and practice, and actively applying the technologies learned and understood to project practice to achieve your cloud computing self-learning dream.

It is difficult to learn, and cloud computers have high requirements for knowledge in all aspects.

It's not easy to learn cloud computing theory on your own, but most of the experiments require multiple computers. Cloud computing requires virtualization, and multi-layer virtualization is either not supported or stuck, so multi-physics is king.

The demand for talents in the field of big data mainly revolves around the industrial chain of big data, involving data collection, sorting, storage, security, analysis, presentation and application, and the positions are mostly concentrated in several positions such as big data platform research and development, big data application development, big data analysis and big data operation and maintenance.

In addition to the data, collection, and aggregation of a certain amount of data, big data itself is more important for the processing, mining, analysis, visualization, and application of data.

Cloud computing is the model for the addition, use, and delivery of Internet-based services, typically involving the provision of dynamically scalable and often virtualized resources over the Internet.

The relationship between the two: Big data is often associated with cloud computing, because real-time analysis of large data sets requires a distributed processing framework to orient data.

Ten, hundreds, or even tens of thousands, of computers assign work. Big data and cloud computing have different concerns, but in terms of technical architecture, they are both based on distributed storage and distributed computing, so the connection between the two is also relatively close.

It can be said that cloud computing played the role of the engine during the industrial revolution, while big data was electricity.

It can be said that the learning of cloud computing skills is relatively easy. In the field of cloud computing, many people think that cloud computing is a relatively new technology, but in fact, it is a relatively mature technology, and it is also a technology that is constantly developing and improving. Therefore, it is very necessary for beginners to start by understanding the basic concepts.

Learning cloud computing technology requires mastering some basic concepts, such as the basic structure of cloud computing, cloud computing service models and deployment methods, and so on.

After mastering the basic concepts, further learning can revolve around the application of cloud computing. The application of cloud computing technology includes cloud storage, cloud computing security, cloud computing technology and big data. Further mastery of key technologies and practical experience is required when learning these applications.

You can deepen your understanding of the application of cloud computing technology by reading relevant literature and practical practices.

In addition, for those who want to dive deeper into cloud computing technologies, they also need to learn more advanced technologies, such as automated deployment on the cloud, container orchestration, load balancers, auto scaling, and so on. These advanced technologies can help developers better understand and apply cloud computing technologies, and will also bring deeper experiences and ideas.

In short, cloud computing technology is not difficult to learn, you only need to master some basic concepts, as well as accumulate experience and master advanced technologies through practice. In the field of cloud computing, knowledge is constantly updated and expanded, so it is important to keep the file in mind and have a learning attitude. <>