In 2018, the businesses have been more focused on the adoption of cloud services and so, will remain in the coming years. As per the IDC report, the public cloud adoption will continue to rise and the public cloud market will reach £197 billion in the next three years. This cloud adoption has been increasing the demand for professionals with cloud computing skills.
In this blog, we’ll explain the cloud skills you need to gain in 2019. So, if you are aspired to enhance your career with top cloud computing skills, this article is must read for you!
However, before moving to the topic of cloud computing skills to choose this year, you should be familiar with the basic concepts of cloud computing. So, let’s begin with a quick introduction to cloud computing.
What is Cloud Computing?
Cloud Computing is basically a remote service which is used to store, manage and process data on the cloud. Any kind of information in terms of data or applications which is stored at the cloud can be retrieved over the network anytime and anywhere. There are three categories of Cloud Computing Services:
- Infrastructure as a Service (IaaS)
- Platform as a Service (PaaS)
- Software as a Service (SaaS)
How to Start Career in Cloud Computing?
If you are willing to start a career in Cloud Computing you should know about basic steps that can make you a Cloud Computing Expert along with the certifications available for a bright cloud computing career. Basic factors that will help you to achieve in cloud computing career are:
Strong Foundation in Cloud Computing Concepts: Strong foundation in cloud computing concepts can help you achieve the top cloud job positions like Cloud Architect, Cloud Consultant, Cloud Software Engineer, Cloud Software Application Engineer, and Cloud Security Expert.
Practical Knowledge: If you have hands-on experience and good practical knowledge, then you will be in more demand in the industry.
Latest Technology: Cloud Computing technology is continuously updating. So keep updating yourself with the latest technology to start a career in the cloud.
Certifications: There are a number of Cloud Computing Certifications that can make a difference in your profile. AWS Certifications, Microsoft Azure Certifications, Google Cloud Certifications, Alibaba Cloud Certifications, VMware Certifications, Cloud Security Certifications are the top cloud computing certifications to boost the cloud computing career.
Prerequisites for Learning Cloud Computing
If you are willing to learn Cloud Computing then there are some prerequisites you should know before learning Cloud Computing such as you should have basic knowledge of operating systems for example. There are few assumptions about learning Cloud Computing.
- If you are not good at coding, you can’t learn Cloud Computing. This is wrong, you don’t have to be a coder for Cloud Computing Expert.
- You can’t start as a fresher in the cloud. This is wrong, whether you are a fresher or experienced, the doors of cloud career are open for you.
- It is only for individuals who belong to IT. This is a myth only, anyone can learn Cloud Computing.
Now, you’ve gained enough knowledge about cloud computing, so let’s move to our main topic.
Top Cloud Computing Skills You Need to Pick Up This Year
You should have a set of cloud computing skills to be successful in your cloud career. Here we’ve compiled a list of the skills that are considered to be must have cloud skills in 2019.
Cloud Security is one of must-have cloud computing skills which you should pick in this year. One of the benefits of cloud services is that you can activate at gage and still remain protected. Cloud computing security is a fast-growing service that delivers many of the similar functionalities such as IT security. This contains protecting information from the mugging, data leakage, and omission.
The data is protected in data centers. Data storage often comprises firm passivity requirements when storing information like Credit Card numbers or health data. Some countries involve data to be stored in their country where they choose a provider. The provider has multiple data centers across the world which can help to attain the security. Public Cloud Providers and Enterprise companies are contented to join as well as store their data.
Many cloud providers propose self-governing third-party audit reports to verify that their internal procedures are operative in handling the safety within their services where you store the data. But just like leading Cloud Providers, most enterprise companies cannot offer a similar level of safety knowledge.
For their cloud security, enterprise companies must pay secure devotion. Different Cloud providers work underneath the model which is majorly collective responsibility model between vendor and business, charting the security tasks. They cannot depend on them to certify the safety of their data as well as services. There are also the features which are must recognize by their staff along with effort towards protection. So, the indication that a company’s data is not safe in the cloud just isn’t right any longer.
The Certificate of Cloud Security Knowledge (CCSK) is one of the most demand Cloud Security Certifications in the Cloud Computing world. This certification is provided by the Cloud Security Alliance. This exam covers things like Asset Security, Identity and Access Management, and Software Development Security. Organizations using Cloud Computing for data operations have become an importance for contracting with a Cloud Computing provider.
Machine Learning (ML) and Artificial Intelligence (AI)
Machine Learning (ML) and Artificial Intelligence (AI) are the additional cloud computing skills, recommended for a bright cloud career. Machine learning is a field of computer science or an application of artificial intelligence (AI) that shares systems the skill to automatically learn and progress from knowledge without being clearly programmed. Machine learning concentrates on the expansion of computer programs that can access data using statistical techniques and use it for themselves.
Whereas Artificial Intelligence, sometimes called Machine Intelligence, is an intelligence established by technologies, in divergence to the natural intellect displayed by humans and other animals. It is simply defined as the theory and development of computer systems able to achieve tasks normally requiring human intelligence, such as speech recognition, decision-making, visual perception and translation between languages.
Although machine learning, Big Data & Artificial Intelligence (AI) are just seen as catchphrases for many enterprise companies in the earlier period they’re currently at the top of an accumulative number of Information Technology projects.
Mike Brown, Lead Cloud Instructor at Firebrand Training says, “The tools are informal to use and set up. There are quite a number of tutorials which are available online. Other than tutorials if you are looking to get valuable info out of the tools, you will need robust data science assistance.”
The two major platforms in the cloud which offer Machine Learning tools are Amazon Web Services (AWS) and Microsoft Azure along with its documentation, tutorials, and certifications.
One of the major players along with these two giants Amazon Web Services (AWS) and Microsoft Azure is Google Cloud Platform. Google is also targeting its Cloud Platform to achieve new technology milestones. Google has also some certifications along with the tutorials and documentation of the same. You can avail all the material by using your Google credentials.
Serverless Architecture is also one of cloud computing skills which you need to adopt this year. Serverless architecture (also known as serverless computing or function as a service, FaaS) is a software design form where applications are introduced by a third-party package, abolishing the essential for server software and hardware management by the developer.
Serverless architecture eliminates the requirement for infrastructure to achieve fundamental communications. Especially if Developers want to track, track an application. By adopting Serverless Architecture, professionals or developers seeking cloud computing skills can design services that are scalable and easier to cover, upgrade or promote. It is often inexpensive than projects that are built on servers.
In a statement by Brown, “It’s the only path that will lead the design part to all new services”. He also stated that an old way of thinking is “The suggestions in which applications to a server or multiple should be transferred.”
Major cloud platforms practice industry standard skills and programming languages which means moving serverless applications from one vendor to another is no longer an obstacle. Professionals can take any online learning for serverless application development by choosing a platform. Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform are at the top of the list for offering serverless architecture.
If we talk about serverless architecture and vendor lock-in acceptance, enterprise companies were previously worried about that. For example, suppose if you are using serverless components to host and one cloud provider is being used by you then they will raise the prices. As a result, they could lock you into their service or could also force you to give the advanced fee.
AWS, Azure, and Google Cloud are the top three cloud providers. Let’s have a comparison between these three: AWS vs Azure vs Google
Cloud Migration and Multi-cloud Deployment
Cloud Migration and Multi-Cloud deployment are also one of the important cloud computing skills shouldn’t be missed. As per IDC’s report, public cloud migration is rushing and enterprise companies are looking for professionals knowledgeable in the cloud to change their apps and services.
Enterprise Companies that are struggling to measure resources to meet demand along with targeting to save time on basic tasks like database backup or maintenance will help from moving to the cloud.
In the enterprise, multi-cloud transitions are increasingly common. Enterprises are making it more flexible and choosing different environments based on performance and cost. So as a result, professionals will want to consider escalating their skills across multiple platforms – particularly Azure, AWS and Google Cloud Platform.
Cloud migration isn’t a rapid process and it’s by no means risk-free. If you are not a skilled professional, you will risk downtime on critical applications and improper application could expose them up to security weaknesses.
Automation is also one of top cloud computing skills that have brought revolution in the IT industry. Automation is the technology by which a process or procedure is achieved without human assistance. Automation is also a type to provide a cloud service for enterprise companies. For third-party services, there’s a budge to permit to automate diagonally numerous platforms. This is also in case if you are using the identical set of tools.
There are three popular tools “Jenkins, Terraform, and Chef”. They are all standard tools that permit automation diagonally numerous platforms. They also permit professionals targeting to raise their profitability. These tools should also contemplate in addition to the skills to their knowledge path.
So these are hot cloud computing skills in demand which you should pick in this year. These are the top cloud computing skills that are very useful to build a career in cloud computing. If you are skilled enough with the most required technological expertise, you will get better opportunities in the competitive cloud market.
Get these cloud computing skills and validate your skills with a cloud computing certification. To help you beat the competition of the cloud industry, Whizlabs brings world-class online certification training and practice test series for you. Check out our Cloud Computing certification training and get ahead for a bright future!
Need any assistance in your cloud career? Submit your concern in the comment section below or write at Whizlabs Helpdesk, we’ll be happy to help you!
- What’s New in Git 2.24? - February 18, 2020
- Top 25 AWS DevOps Interview Questions - February 17, 2020
- Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI - February 14, 2020
- How to Make Money with Alexa Skills? - February 13, 2020
- Introduction to Amazon Braket – AWS Quantum Computing Service - February 12, 2020