This is a new role that both data centers and mainstream technology companies need. Cloud computing is constantly evolving, and there is a high demand for professionals with cloud architecture experience, who have the skills needed to plan, design, develop, and migrate applications in the cloud. Cloud architects have extensive knowledge of architecture and skills related to software development, third-party integration, databases, Devops, network, and enterprise security. Cloud architects should and should have strong communication skills to coordinate technical priorities and business needs.
Cloud configuration management: Due to the agility of hybrid IT, a hybrid environment is adopted within the organization, and cross-industry has become a reality. In the future, as organizations adopt multi-layer clouds to optimize different workloads, this will become a bigger trend. In this new hybrid environment, organizations need people with the required skills to migrate data and applications between the cloud and on-premises platforms. Professionals with experience in using configuration management tools will be the most important skills in this new environment. Cloud configuration management includes configuring the hardware and software of the cloud (SaaS, paaS, and IaaS). There are many software tools for cloud configuration management on the market, and data center administrators will also provide help to professionals in software tools such as Chef, puppet, or SaltStack.
Marginalization: As we move towards a hyper-connected world, billions of devices will be connected to the Internet, pushing intelligence to the edge in the form of edge computing. It will cause changes in network architecture and data processing methods. As more and more edge computing applications become a reality, companies will look for smart, cost-effective, and efficient ways to collect data from IoT devices, analyze the data, and then route it to remote and local data centers. Because edge computing integrates different functions, data center managers will look for professionals with different skills (such as networking, system design, database modeling, and security). Because most edge devices have resource constraints, system design skills are very important, so the system should be designed to run without affecting performance and interoperate with other devices. Once again, the network is another important factor, and an unoptimized network has a great impact on the performance of the system. We know that edge devices can exchange large amounts of data and are always connected to each other. In order to effectively store, distribute and analyze data, database experts need to design database structures more effectively. Marginalization is more prone to security risks, and security experts need to have data protection functions such as encryption and authentication cellular module.
AI: Gartner predicts that by 2020, more than 30% of data centers will no longer be operational or economically viable without adequate preparation for artificial intelligence. In view of this, data center managers must have the expertise to use artificial intelligence to improve efficiency. Although artificial intelligence can certainly perform some routine tasks, such as security updates, backups, and even system updates, the task is to design algorithms to ensure better results, but it is left to experienced professionals to complete. This may include writing algorithms to ensure optimal load distribution, effective and automatic system expansion, as well as performance monitoring and fault diagnosis.
Security: This is the most important skill, and it is always in high demand. High-level information security experts always need to help data centers proactively protect themselves from attacks. At present, information security experts mainly focus on detecting network, workload or application threats and taking corresponding countermeasures. In the future, they will concentrate on using automated tools to detect abnormalities in the network and use automated intelligence to actively protect the company. For example, the focus will shift from SOC experts who can now detect threats to experts who can create algorithms or write scripts to automatically detect attacks. In addition, data center managers also need the help of network security architects, who can see the big picture and create a centralized model that captures threats from a variety of different threat vectors. In addition, new positions are needed, such as those privacy officials who are familiar with legal affairs, and if necessary, they will comply with different regulatory requirements.