Top 5 Cloud Computing Skills You Need to Master

LinkedIn published its first skills index in 2016 and it rated cloud computing as the most sought-after tech skill, alongside artificial intelligence and big data. Since then, LinkedIn has identified more than 20 different skills that can be broken down into five major categories; cloud operating systems, cloud storage, big data, cloud security and virtualization/automation/orchestration. This presents an opportunity to those who are willing to rise to the challenge of mastering the basic and more advanced cloud computing skills. Here are the top 5 cloud computing skills you need to master according to LinkedIn’s skills index .

1) Security

Data breaches are increasingly common. Millions of people have had their data compromised in recent years, and while some companies may get away with a slap on the wrist from regulators, more often than not, they’re going to end up in court. With so much at stake, it’s crucial that you commit yourself to learning about cloud security if you want to become a cloud engineer. At a minimum, make sure you know how encryption works (encryption is one way of keeping your data secure; other methods include access control).

 What type of encryption does your cloud provider use? What happens if someone gets hold of your private key? If you know what type of risk you’re exposed to, and why that risk exists, then you can start looking for ways around it. When it comes to cloud computing, knowledge is power. It’s important to understand cloud computing risks so you can take steps to minimize them.

 While there’s no guarantee of success, having a strong understanding of cloud computing basics will help you avoid getting caught off guard by unexpected changes or events that could compromise your privacy or safety.

This means knowing which types of data are stored where, and making smart decisions about when and where to store sensitive information as well as how best to encrypt it. The cloud offers many benefits but requires careful consideration before implementation.

2) Resiliency

Resiliency is about keeping your cool when you hit a snag, and not allowing it to rattle you. It’s about solving problems as they arise, rather than letting them drag on or fixating on issues that aren’t related to your immediate needs. For example, one of your first tasks in cloud computing will be setting up virtual machines (VMs). If something goes wrong, don’t panic, it happens more often than not. Take a deep breath and think carefully about what went wrong, diagnose any problem areas, and figure out how you can move forward.

The sooner you get past an issue, the sooner you can get back to focusing on other aspects of cloud computing. Don’t let yourself become overwhelmed by seemingly insurmountable obstacles. Instead, take a step back and see where you can apply some cloud computing magic to help solve whatever challenges are facing you. In short: Keep calm and carry on! Advanced cloud skills: Moving beyond basic cloud computing skills requires patience and persistence.

Although it may seem daunting at first, becoming proficient with advanced cloud skills doesn’t have to be rocket science. To make sure you succeed, simply follow these five steps: 1) Research each topic thoroughly; 2) Learn from those who have gone before; 3) Practice diligently; 4) Solve real-world problems; 5) Build something amazing!

3) HyperScale

The Top Cloud Computing Skills Employers Want, According to LinkedIn There’s no denying it: cloud computing is here to stay. And that means there’s a lot of money to be made as a cloud engineer (or architect) who can make sure that your company uses these services effectively and efficiently. A recent report from LinkedIn shows that right now at least based on current job listings cloud computing is one of them.

 Continue Reading → It’s clear that cloud computing is an increasingly valuable skill set for IT professionals looking to get ahead in their careers. But what exactly does it mean to be a cloud engineer? And how do you become one? Read on for some insight into what cloud engineers do, why companies are looking for them, and where you can learn more about getting started with cloud skills. What Cloud Engineers Do While most people have heard of the cloud, not everyone understands what it really means or how.Continue Reading →What exactly does it take to become a good software developer? With so many options out there for learning programming languages and so many tools available for creating software applications, we wanted to take an in-depth look at what makes a great software developer.

4) Automation

Automatic provisioning, deployment, and configuration allow you to spin up new virtual machines in a few minutes. If you don’t know how or where your VM lives, then you can’t easily debug and troubleshoot it. Luckily, automation tools are a dime a dozen: Packer takes an existing template (usually based on an Amazon Machine Image) and produces other machine images for other clouds like Google Cloud Platform, OpenStack, VMware vSphere etc.

\ Terraform does something similar for AWS; CloudFormation for AWS; Apache Heat for OpenStack; and so on. Once created with automation tools like these, VMs are far easier to manage and deploy consistently from one instance to another as well as across different cloud providers with their own APIs and SDKs. As any good cloud engineer knows, every time you need to manually create an instance of anything, there’s probably a tool that makes that process automatic.

5) Serverless

The biggest opportunity for cloud engineers is with serverless architecture. When an application can run without needing a server, it’s far more efficient and cost-effective. In these cases, your cloud engineer skills would be especially handy. For example, there are still various aspects of machine learning that require a server when using Amazon Web Services (AWS). However, with Google Cloud Platform’s AI service (Google ML Engine), you don’t need one. Everything happens in your browser window or command line tool.

With fewer resources required to build and manage applications, you can turn more resources toward security and quality assurance; both areas where even more focus is being put on cloud engineering skills. While no single cloud engineer skill stands out as most valuable, having multiple cloud engineering skills makes you extremely valuable to companies looking to make use of cloud computing platforms. Your cloud engineer resume will have a strong chance at making it past initial screening by hiring managers if you have any of these skills:

DevOps, AWS Certified Solutions Architect – Associate Level, Azure Administrator Certification Training Program (ADT) Certification Training Program, Google Cloud Certified Professional Certifications: BigQuery Data Engineer Onsite Training Class , AWS Certified Developer – Associate Level. This is just a sample of some courses and certifications from each platform, not every certification course available.

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