As businesses of all sizes leverage cloud projects by 2018, the demand for cloud computing is accelerating. Public cloud adoption is expected to increase significantly and IDC expects spending to reach £ 197 billion in just three years.
But like other advanced technologies that exist in the market, such as machine learning, continue to reshape the job market and the gaps in skills across the industry. With more than 350,000 professionals needed to help complete the role in the cloud, it is clearly an excellent opportunity for professionals to demonstrate their skills in the workplace as well as their strengths inherent in each person.
Whether you are taking the first steps in your business development plan into the cloud or are aiming to increase your marketing potential, this is a great opportunity for you to expand your skills to cloud in 2018 with the most specific planning.
Businesses are comfortable storing and sharing their data with public cloud service providers without worrying about information security or the safety of information.The idea that corporate data is not secure in the cloud is no longer valid.
Most small companies face a fundamental problem that can not provide the same level of security expertise for work processes as top and professional cloud providers with high professional qualifications.For example, Microsoft plans to invest more than $ 1 billion a year in cybersecurity.
But businesses still have to pay attention to their cloud security as hackers become more sophisticated with stealthy tactics that are less guarded.Cloud service providers operate under a common responsibility model, stating the responsibility of security between the provider and the business to ensure that operations are performed in the most normal way. In a nutshell, businesses can not rely entirely on their suppliers to ensure the confidentiality of their data and services, but they will also have their own plans as a second option; their staff must also understand and work towards security and other related issues.
That means that it is still very important for IT professionals to have an understanding of cloud security in the security process – even if heavy upgrades are made by the vendor cloud. To ensure that their organization is well protected and operating at the full capacity they have spent, experts must learn how to use and learn about the security tools provided by the Services like Amazon Web Services (AWS) and Microsoft Azure.
And for security experts specializing in cloud security, they have some industry standard certifications available to meet the work process without the glitch. Probably the most famous is (ISC) 2 of CCSP (Certified Cloud Security Professional) built on knowledge that is taught and introduced through the popular CISSP certification.
Machine learning and AI
While machine learning, AI and large data can be seen as buzzwords for many businesses in the past, they are now the focus of a growing number of IT projects.
Analyst firm IDC predicts explosive growth for machine learning and AI this year and next, with a 50% increase in spending over the next three years, a desirable and highly anticipated result. As a result, all major cloud providers are currently developing or extending services that enable organizations to leverage these technologies in their applications in the hope of expanding the market to meet the modern trending.
The two largest cloud platforms, Amazon Web Services (AWS) and Microsoft Azure, both offer the Machine Learning tools that streamline workflows.
“These tools are easy to install and there are lots of guides available online. But to get valuable information from them, you will need powerful data science skills, “said Mike Brown, cloud leader at Firebrand Training.
Microsoft is promoting the competition in data science training for professionals with the desire to train a truly qualified team that creates the Professional Program for Data Science with certification. New – MCSA Machine Learning complies with MCSE Certification: Data Management & Analysis Specialist.
No server architecture eliminates management so that developers monitor the infrastructure when they want to change or build an application for themselves with the needs they need.
“That’s how all new services should be designed and used today,” Brown said. The idea that applications should be deployed to a server or two is an old way of thinking that has been widely acknowledged. “
By applying a non-server architecture, developers can build scalable and easier to patch or upgrade services. This is usually cheaper than server based designs.
Businesses who previously were interested in locking the provider when applying a non-server architecture. For example, if you are using a cloud service provider to host components that are not on your server, you may be locked into service and charged higher.
Today, large cloud platforms that use industry-standard technologies and programming languages mean that moving non-server applications from one vendor to another is no longer an afraid issue .
Experts can dive into learning app development without necessarily going through the online form but you will first need to choose a reputable platform to continue to improve. If you support AWS, consider keeping track of webinars and Lambda tutorials to begin the learning process as well as learn more about the issues you need.
Move the cloud and deploy multiple clouds
According to IDC’s report, public cloud migration is accelerating and businesses need knowledgeable experts on cloud computing to change their applications and services.
Businesses are striving to expand their resources as well as the micro to meet business needs or save time for tasks that are not too complex such as database protection or backup. These processes will benefit from moving to the cloud to bring about certain efficiencies.
But migrating in the cloud is not a fast process and does not mean that there is no risk. Without skilled professionals and high-level skills, businesses are at risk of downtime for critical applications and incorrect implementation can lead to security issues as well as some Bad things happen to them.
In the enterprise,the deployment of multi-cloud increasingly popular. Businesses want to flexibly choose different environments based on the performance and cost they have with the suitability required for the amount of work they have to do.As a result, professionals will want to consider extending their skills across multiple platforms to increase the scope of their business as well as expand their platforms – particularly Azure, AWS and Google Cloud Platform.
“For me, automation is the key to delivering cloud services to businesses. Automated scaling, infrastructure such as code, automated tracking and reporting all play a role in good cloud design for a business in its business process – all processes. Everything will be perfect automatically, “Brown said.
“At the moment, third-party services allow us to automate on multiple platforms with the same set of support tools that only ensure certain efficiencies.”
Jenkins, Terraform and Chef are all popular tools that enable automation on a variety of platforms and specialists to increase their marketing potential as well as their reach, so consider further. This skill on your learning path as soon as possible to harvest surprises.
The key to marketing in the cloud
The key to using today’s job market in the cloud is gaining cross-platform skills with the best and fastest support possible. If you have achieved MCSE Cloud Infrastructure and Infrastructure certification, consider extending your skills to enhance your capabilities including certification from AWS and the Google Cloud Platform
By transferring your knowledge among the cloud platforms, you will diversify your skills and increase your employability by 2018.
Editing Notes: After you’ve gone through the 2018 list, compare this list with the 2017 list if you feel it is necessary, which you can find here.