At a time when Most companies use the cloud in some form or form, Cloud computing skills are a pretty essential part of any resume for a job in software development or IT. However, unless you specialize specifically in cloud computing, it is unrealistic to expect that you will master all kinds of cloud computing skills. You need to be strategic with those you want to learn. With that challenge in mind, this article elaborates five top cloud computing skills IT professionals of all stripes should acquire to succeed in today’s job market.
One of the most basic and essential cloud computing skills that you will need for a wide variety of jobs is understanding Infrastructure-as-Code, or IaC.
IaC is the use of configuration files for the automated provision and management of IT resources. While you can use IaC in any type of environment, including locally, its size makes it a requirement for most cloud environments. Without IaC, it is difficult to deploy dozens, hundreds, or even thousands of servers that you need to manage in a typical cloud environment.
There are a variety of IaC tools, but they all work essentially the same: Engineers write configuration files that define how a resource should be configured, and the IaC tool applies the configuration automatically.
Because some IaC tools are only tied to specific environments (like AWS CloudFormation, which only works on the AWS Cloud), you may be able to get the most benefit from IaC knowledge by teaching yourself an environment-independent IaC tool like Terraform.
2. Policy as a code
While IaC is a basic cloud computing skill, you can demonstrate an additional level of sophistication by learning policy-as-code.
Policy-as-Code is the use of configuration files to manage any type of policy within a software environment. Policies can be things like access control rules, security settings, or network configurations.
Hence, Policy-as-Code is pretty similar to IaC – some would even say the former is an extension of the latter – but Policy-as-Code allows you to have a wider range of resources with an automated, code-based one. manage to approach. Employers will appreciate this ability, especially at a time when the IT industry is increasingly moving towards one Everything-as-Code model.
3. Cloud audit
Performing IT audits– that is, reviewing IT resources to make sure they are properly designed and configured – is a common task for IT professionals in any type of environment. However, when you conduct audits in the cloud, you can face some unique challenges. One is that there aren’t many tools that can automate all aspects of the cloud audit. Some cloud providers offer auditing services such as AWS Audit Manager, but only work within a specific cloud. If you have multiple clouds to examine, they are not particularly helpful.
It can also be difficult to automate monitoring across multiple cloud accounts, as most monitoring tools can only audit environments on an account-by-account basis.
And then, of course, the challenge is simply to make sure you understand which configurations in a cloud environment should trigger an audit policy violation. Auditing tools may offer out-of-the-box rules that enforce the requirements of popular compliance frameworks like GDPR and PCI DSS, but you generally need to write your own auditing rules if you need to enforce internal governance guidelines that are unique to your organization.
All of this means you can add value to employers by learning to overcome the unique challenges of cloud auditing, especially if you want to work in a role that is tasked with auditing or enforcing governance.
Delivering containerized applications over Kubernetes is just one way to run apps in the cloud, but it’s growing in popularity. And although five years ago I might have been tempted to believe that Kubernetes was just a fad whose popularity would fade over time, I find it difficult to take that position today.
That’s why you get to know Kubernetes – what it is, how it works, which distributions are available and whether to use a managed Kubernetes service– is a worthwhile investment of time.
You don’t need to become a Kubernetes guru unless deploying and managing Kubernetes clusters is an integral part of your job description. But if you can say you understand Kubernetes, then you will feel comfortable with kubectl. well and can explain the main differences between Rancher and GKE.
5. Hybrid cloud
Last but not least is the hybrid cloud. Hybrid cloud is less of a specific cloud computing skill and more of a style of architecture, but it is still something you should understand if you want to work in IT today.
After all, 87% of companies have a hybrid cloud strategy, This means that you can be expected to work with resources that include an on-premises and a cloud-based environment.
So spend some time researching major hybrid cloud platforms such as: AWS outpost, Azure Arc and Google Anthos. Also, learn about the pros and cons of hybrid architectures so that you can gain in-depth knowledge of when it makes sense to use a hybrid cloud and when it doesn’t.
Conclusion: Competencies for cloud computing that lead to job success
Your mileage can of course always vary. The cloud computing skills described above won’t necessarily top the list of in-demand skill categories for every IT job out there. But they’re a great starting point for people looking to improve their resume in today’s cloud-centric world.