Cloud computing will be used in these 5 aspects in 2018
In 2018, as companies of all sizes begin to advance cloud computing projects, public cloud adoption is expected to increase. IDC predicts that public cloud spending will reach $197 billion within three years, so the demand for cloud computing-related skills is increasing. high. As technology such as machine learning continues to hit the job market, the skills gap across the industry will grow. More than 350,000 experts are needed to help fill the relevant positions of cloud computing practitioners. Obviously this is an opportunity for professionals to prove the value of skills. Regardless of whether the enterprise is in the first step toward cloud computing or is committed to improving marketing capabilities, it needs to improve the skills related to cloud computing. Cloud security Enterprises are willing to store data in public cloud providers, and the idea that the company's data is insecure in the cloud is no longer a factor affecting enterprise data storage. Most companies simply cannot provide security expertise consistent with leading cloud service providers. For example, Microsoft plans to invest more than $1 billion a year in network security. But companies must still pay close attention to cloud security. Cloud service providers operate in a shared responsibility model where cloud service providers share security responsibilities with vendors and services. In short, companies can't rely on vendors to ensure the security of their data and services, and their employees must understand and work hard to achieve security. This means that even if most of the work is done by cloud service providers, IT practitioners need to understand cloud security. To ensure that their data is protected, professionals must learn to take advantage of the security tools provided by AWS and Microsoft Azure. For those who are committed to cloud security skills, there are also some industry-related certifications, the most famous being the (ISC) 2 CCSP (Certified Cloud Security Specialist), which carries out relevant professional skills certification for CISSP. Machine learning and AI Machine learning, artificial intelligence and big data are gradually becoming the core of IT projects. IDC predicts that machine learning and AI will explode and spending will increase by 50% in the next three years. As a result, every major cloud service provider is developing or extending services that allow organizations to leverage these technologies in their applications. AWS and Microsoft Azure are now offering machine learning tools, and Microsoft is advancing data science training competitions for professionals, creating data science professional programs and new certifications, MCSA machine learning certification consistent with MCSE expert data management and analytical certification. . Serviceless architecture The no-service architecture eliminates the need for developers to manage the underlying infrastructure when they need to run or build an application. By adopting a no-service architecture, developers can build scalable, easy-to-repair or upgrade services that are less expensive than server-based designs. When adopting a no-service architecture, companies were worried about vendor lock-in. For example, if a user uses a cloud service provider to host a no-service component and they increase the price, the user may be locked into the service and forced to pay a higher fee. Today, the main cloud platforms are using industry-standard technologies and programming languages, which means that migrating service applications from one vendor to another is no longer an obstacle. Cloud migration and cloudy deployment According to IDC's report, the migration of enterprises to the public cloud is accelerating, and companies need a knowledgeable cloud to migrate their applications and services. Enterprises on trivial tasks such as database backup or maintenance will benefit from migration to the cloud, and companies will be able to save time by expanding their resources to meet demand. Migrating to the cloud is not a fast process and is also at risk. Without skilled professionals, companies face the risk of critical application downtime, and errors in implementation can lead to security breaches. In enterprises, cloudy deployments are becoming more common, and companies want to flexibly choose different environments based on performance and cost. Therefore, professionals will consider expanding their skills on multiple platforms, especially Azure, AWS and Google Cloud Platform. automation Companies are constantly looking to grow and transform into a digital enterprise with both agility and security, which drives the need for automation that we have never had before. Since the automation of IT scenarios, it has helped the integration industry maintain its business, giving them complete control and increased productivity. Automation is now a key tool for most companies to stay ahead of their competitors during periods of rapid technological growth. Today's enterprises are moving from manual to digital. With the exponential growth of the IT industry and the emergence of cloud technology, manual management has become a responsibility. Companies are looking to automate and open the door to innovation. When an organization adopts automation, it can free up considerable time and manpower to improve overall efficiency, allowing innovation to be achieved. There are many reasons why companies need to automate. Although automation is not a new concept, many companies can only automate a small part of their infrastructure. If companies want to grow at a competitive rate, they must achieve greater automation. As more organizations adopt DevOps, more and more enterprises are using automated tools to handle the day-to-day configuration and management tasks of the cloud and internal data center infrastructure. Employees who know how to use these tools, especially those who use these tools in conjunction with cloud services, are increasingly valued by companies. 8 Inch Tablet
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