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With the development of the mobile Internet into the era of 5G and big data, the technology of cloud computing is particularly important under this premise, because cloud computing is the underlying guarantee technology of digital upgrading and artificial intelligence, and it cannot be developed without other service functions. Nowadays, cloud computing employment is also in demand more than demand, with good pay and high salary. There are many options for job directions, from the technical level to the management level.
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The demand for cloud computing talents in the IT industry is still relatively large, and the employment situation in the relevant direction is still relatively optimistic in recent years. More importantly, cloud computing not only has objective development prospects, but also has policy support. In this case, as long as you learn cloud computing well, employment is not a problem.
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But it's better to study systematically, I studied in Qianfeng Education, and I feel a lot more knowledge overall, which is much better than looking for it by myself.
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j a v a training class in the country only qianfeng education is doing relatively well , the others are almost none , this is what i have found so many , to sum you up , i hope to help you .
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The cloud computing learning course outline is as follows:
1.Linux cloud computing network management practice.
2.Linux system management and service configuration practice.
3.Linux shell automatic operation and maintenance programming.
4.Open-source database SQL NoSQL O&M practice.
5.Large-scale high-concurrency architecture and automated O&M projects.
6.**Actual combat of security penetration testing and performance tuning projects.
7.Public cloud operation and maintenance technology project practice.
8.Enterprise private cloud architecture and O&M practice.
9.Python Automated O&M Development Basics.
10.Python automated operation and maintenance development project practice.
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Characteristics of cloud computing technology: diffuse, ubiquitous distribution and sociality. It is an emerging approach to shared infrastructure that can connect huge pools of systems together to provide a variety of IT services.
Five characteristics of cloud computing. The characteristics are as follows:
1.Heterogeneous basic resources are supported
Cloud computing can be built on different basic platforms, that is, it can be effectively compatible with various kinds of hardware and software basic resources. Hardware basic resources mainly include three types of equipment in the network environment, namely: computing (server), storage (storage device) and network (switch, router and other equipment); The basic software resources include stand-alone operating systems, middleware, and databases.
2.Supports dynamic expansion of resources
It supports dynamic scaling of resources and realizes network redundancy of basic resources, which means that adding, deleting, or modifying any resource node in the cloud computing environment, or if any resource node goes down abnormally, will not cause the interruption of various services in the cloud environment, nor will it lead to the loss of user data. The resource nodes here can be compute nodes, storage nodes, and network nodes. The dynamic flow of resources means that the resource scheduling mechanism is implemented under the cloud computing platform, and resources can be transferred to the places where they are needed.
For example, when the overall system business is increased, idle resources can be started and incorporated into the system to improve the carrying capacity of the entire cloud platform. In the case of low service load of the whole system, the business can be concentrated, and other idle resources can be transferred to energy-saving mode, so as to achieve the green and low-carbon application effect of other resources while improving the utilization rate of some resources.
3.Support heterogeneous multi-service architecture
On a cloud computing platform, multiple different types of businesses can be run at the same time. Heterogeneous, which means that the service is not the same, not existing, or pre-defined, but should be a service that users can create and define by themselves. This is also an important difference between cloud computing and grid computing.
4.Supports massive information processing
Cloud computing, at the bottom level, needs to face a large number of basic software and hardware resources; At the upper level, it is necessary to be able to support a large number of heterogeneous services at the same time. When it comes to a specific business, it often needs to face a large number of users. As a result, cloud computing inevitably needs to face massive information interaction, and needs to be supported by an efficient and stable massive data communication storage system.
5.Pay-as-you-go allocation and pay-as-you-go billing
On-demand allocation is an external feature of the cloud computing platform to support the dynamic flow of resources. Through virtual spin-off technology, the cloud computing platform can realize the isomorphism and measurable quantification of computing resources, and can provide computing power from one computer to thousands of computers. Pay-as-you-go billing originated from utility computing, and after the cloud computing platform realizes on-demand allocation, pay-as-you-go billing has also become an effective form of charging when the cloud computing platform provides services to the outside world.
If you want to learn about cloud computing or learn cloud computing, you can go to offline consultation or click on the avatar to learn about it.
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Professional cloud computing learning should include these:
1. Cloud computing foundation. After learning this stage, you can perform basic management operations on the Linux system, and you can configure and deploy domain name resolution on the Linux system.
services, services that can configure the LAMP architecture in the Linux system; It can be based on the network protocol.
Accurately determine the location of the error, assign VLANs on the switch, and use the packet capture tool to analyze network data.
2. Advanced cloud computing. After learning this stage, you can use awk or sed on the command line.
processing text files, initializing servers, transferring files in batches, and writing O&M tools; You can build a MySQL master-slave replication architecture to achieve real-time data backup, operate and maintain MySQL clusters, and realize data visualization operations.
The ability to deploy a single server to install systems on multiple hosts, the ability to manage hundreds of servers with Ansible, the ability to deploy high-concurrency support with NGINX, the ability to deploy Zabbix to monitor host anomalies, and the ability to write custom alarm handling scripts.
3. Cloud computing projects. At present, the company is recruiting an elite with both theory and practice, Qianfeng.
Completely start from the needs of the enterprise and increase information security.
Explain security defense and hacking techniques, learn the best disaster recovery strategies, ensure the best rate of service, use nginx cache to speed up user access, and improve the concurrency; You can participate in the development of Python Linux automatic operation and maintenance, as well as the enterprise private cloud architecture and operation and maintenance practice.
Cloud computing employment direction
As China attaches great importance to the development of the cloud computing industry, its industrial scale has grown rapidly, and its application fields are also constantly expanding, from the fields of finance, transportation, medical care, education to personnel and innovative manufacturing.
Learn cloud computing You can work as a cloud architect, cloud computing software engineer, cloud computing engineer, cloud services.
Developers, cloud system administrators, cloud computing consultants, cloud systems engineers, cloud network engineers.
Cloud Product Manager.
and other posts.
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After completing the study of cloud computing, you can engage in Internet-related work, such as big data. This one major is perfect for such a job.
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In recent years, big data, cloud computing, and artificial intelligence have appeared around us more and more frequently, and with it, there has been a huge talent gap in cloud computing talents.
Cloud computing, with good prospects, large gaps, and high salaries, has become the choice of many people to change careersWhat jobs can be engaged in after learning cloud computing, which is related to your learning content If you are in us after learning Linux cloud computing courses, there are five major directions of work you can engage in: cloud computing engineer, database operation and maintenance engineer, security operation and maintenance engineer, system operation and maintenance engineer, python operation and maintenance development engineer.
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In an era of Internet of Things big data, are the members on the name out or very big? You can find a good notification for yourself today.
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The main employment directions of cloud computing are: engaged in the construction and operation and maintenance of cloud platforms; engaged in cloud security management; engaged in cloud service development; engaged in the sales of cloud computing products; Engaged in cloud computing operation and maintenance engineer; Engaged in cloud computing engineering supervision and supervision; working as a data communications engineer; Engaged in cloud computing test engineer; Engaged in web design engineer; Engaged in software testing engineers, etc.
1. Cloud computing employment prospects:
1. The demand for cloud computing related talents is still relatively large, with the gradual maturity of the cloud computing technology system, in the future in the process of cloud computing widespread landing, a large number of skilled talents will be released in the field of business loss, and this is the talent training goal of cloud computing technology and application majors.
2. Driven by the current industrial Internet, many enterprises, especially large-scale enterprises, have begun to realize business cloudification, which will inevitably promote the employment of cloud computing talents. From the perspective of talent demand in the field of cloud computing, second, graduates majoring in cloud computing can focus on the following positions:
First: cloud computing operation and maintenance positions.
Second: cloud computing platform development positions.
Third: software development positions.
The technologies needed for the development of the cloud computing industry are:
1. Virtualization technology.
Virtualization is one of the most important core technologies of cloud computing, and it is the most important driving force for the rapid development of ICT services to cloud computing.
2. Distributed side-to-god data storage technology.
Another advantage of cloud computing is the ability to process massive amounts of data quickly and efficiently. This is crucial in today's world of counting and clearing your data.
3. Cloud computing platform management.
With the sheer scale of cloud computing resources, the large number of servers distributed in different locations, and hundreds of applications running at the same time, how to effectively manage these servers and ensure that the entire system provides uninterrupted service is a huge challenge.
4. Programming mode.
It is designed to easily distribute powerful server computing resources to end users over the network, while ensuring low cost and good user experience.
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