The cloud is forever changing how we look at IT. Over the past years, the cloud has evolved, large companies and industries are changing practices internally toward a response that looks more and more like the innovation leaders have read about (and that some, mostly in the Valley, seem to assume exist a priori everywhere). The definition of client-server has changed, there are increasing levels of abstraction, and the ability to ship code without caring too much about the server is going mainstream as cloud vendors continue to replace the traditional IT stack.
Cloud skills, today a very broad and expanding set of skills and will be the most important asset for staying competitive in the market. With IoT and newer cloud approaches, we don’t live in a typical client/server or even in a Google-like world. We’re further decentralizing/federating our computing and networking capability than even the traditional Amazon cloud model. Yet everyone is interested in workers who can help install, configure and manage devices that help gather and collect IoT data in intermediate stages.
Meanwhile, more cutting-edge technologies such as machine learning, containerization, and cloud-native apps continue to reshape the cloud computing job market and show no signs of slowing down.
To align with these technology shifts, many cloud-focused IT professionals must build or hone their skills around areas such as data science, AI and container orchestration — or risk being left behind.
So, let’s have a look at the key skills essential to propel your career in the cloud in 2018:
Artificial intelligence and machine learning are no longer just buzzwords — they’re increasingly at the heart of more IT initiatives.1 in 5 enterprises will use AI to make decisions in 2018. AI helps organisations offer customized solutions to customers and provide instructions to employees on what to say and do — in real time. With deep learning in artificial intelligence, it will be possible to successfully analyze both structured and unstructured text data. Worldwide spending on cognitive and artificial intelligence (AI) technology will reach $57.6 billion in 2021, a compound annual growth rate of 50%, predicts analyst firm IDC. Many organizations will seek out IT professionals who not only have deep knowledge of popular cloud-native AI technologies, such as Google TensorFlow or Azure Machine Learning. Cloud admins and architects have numerous training options to get their feet wet with AI and machine learning and expand their data science skills. Cloud providers directly offer courses and certifications; Microsoft, for instance, offers a Microsoft Certified Solutions Associate in Machine Learning certification, while Google has a Data and Machine Learning training track intended for IT professionals who work with big data
MULTI CLOUD DEPLOYMENT
Enterprises increasingly pursue multi-cloud deployments to have the flexibility to choose different hosting environments based on performance, cost and other factors. As a result, IT professionals should expand their cloud computing skills across multiple infrastructure-as-a-service providers. Azure, AWS, and Google continue to be the most popular choices for public cloud, and there are some overlaps in their portfolios, but also significant differences, particularly in their management tools. To move forward with multi-cloud deployments, organizations in 2018 will seek IT professionals who can speak the management language of these various cloud providers. In addition to a strong grasp on different providers’ platforms and management tools, enterprises with multi-cloud deployments highly value networking skill sets. That’s also a must-have for hybrid cloud, where organizations need to move data between private and public clouds with high performance and reliability.
Containerization remains central to the sucess of cloud computing. Along with this,cloud-native application development is on the rise primarily due to the focus of cloud providers on microservices. While some enterprises strive to refactor and migrate existing applications to the cloud, a growing number aims to build applications from the ground up that are optimized for the cloud. These cloud-native apps are inherently designed to tap into the benefits of cloud, such as increased automation and scalability. employers will seek IT professionals who are experienced with the technologies that often underpin these cloud-native initiatives: microservices, containers, and container orchestration engines such as Kubernetes, Apache Mesos, and Docker Swarm. Kubernetes experience, in particular, is especially in demand as organizations look to build, support and manage cloud-native apps, As enterprises continue to adopt container technologies to build and support their cloud-native apps, IT professionals would be well-served to brush up on their cloud providers’ native container and Kubernetes services. In addition, cloud computing skills related to DevOps will continue to be in high demand among organizations that build these native apps.
High-profile, headline-grabbing data breaches continue to make cloud security an utmost priority. Global spending on cloud security tools will reach $3.5 billion by 2021, a compound annual growth rate of 28% over the next five years, according to Forrester. Cloud security investments aren’t exactly new in the enterprise. But in 2018, rather than recruit candidates with a wide swath of IT security knowledge, organizations will be on the lookout for cloud security specialists with deep knowledge of provider-native security tools. Employers increasingly want depth, not breadth.AWS, Azure and Google provide similar types of security services, such as monitoring, encryption and identity management. Still, these tools operate differently, in ways that are unique to each particular cloud platform — meaning knowledge of one doesn’t necessarily translate to another. To boost their resumes, cloud security specialists should fine-tune their platform-specific skills via training and certifications. If their company uses AWS, for example, they should hone their knowledge of built-in tools on that platform, such as AWS Config, a service that provides more granular control over cloud resources and sends automatic alerts to warn of potential risks. To ensure their cloud computing skills stay relevant, security managers must also keep pace with the latest trends, such as artificial intelligence and machine learning, which some providers now incorporate to strengthen their offerings. For example, in August 2017, AWS introduced Amazon Macie, a managed security service that uses machine learning to automatically find, categorize and protect data stored in AWS.
This year could be the year DevOps goes mainstream if it hasn’t already.DevOps is both a cultural movement and a philosophy, which can make it difficult to define the specific skill set you need a DevOps team to possess in order to function successfully.
Organizations are searching for DevOps candidates who are highly proficient with Ansible, SaltStack, Puppet, Docker, Chef and Windows PowerShell DSC as well as fluency in languages including Ruby, Python, Java, and PHP. Candidates with experience in these do certainly stand a chance to make a foray into DevOps. Continuous integration is a DevOps methodology that continually merges source code updates from all developers on a specific software build, notifying the team of any failures in the process.CI tools that DevOps candidates should be familiar with include CruiseControl, Jenkins, Bamboo, Hudson, ThoughtWorks’ Go. Demand for Deployment Engineers, DevOps Engineers, Automation DevOps Engineers and Portal DevOps Specialists is expected to see a spike. Organizations look out for DevOps candidates who are skilled in interpersonal communication, with an arsenal of listening, negotiation, problem-solving and team-building skills at the ready making it an elusive position in the IT industry.
Title: Skills essential for a career in cloud computing in 2018
Reviewed by Team Cloudirec
Summary: Cloud Computing Skills that will propel your Career in 2018
Description: New trends have emerged and the existing ones have taken a pivotal role in the growth of cloud, making it essential for IT professionals to reskill & train themselves in 2018.