Complete Roadmap for Cloud Engineers: Essential Tools and Technologies to Master

Become a cloud engineer by focusing on a popular cloud platform like AWS, Azure, or GCP. Learn CI/CD for faster software deployment, GitHub actions for automation, and security tools like sneak. Explore infrastructure as code with AWS CDK or Terraform. Acquire programming skills in TypeScript or Python for automation. Understand AI and machine learning to design intelligent cloud solutions. Build real projects to solidify your knowledge. The cloud industry is booming, and being a cloud engineer is a top job in tech. Thanks for watching! 😎🚀

Introduction 🌐

A question that I get asked all the times from you guys through emails in the comments and DMS is how do you become a cloud engineer which tools and Technologies should you focus on and learn especially when the cloud world is such a maze for context I’ve been working in the cloud for the past 7 years and I work for myself as a cloud engineer and run my own business helping companies start and build their products in the cloud.

Choosing a Cloud Platform 🛠️

One of the first things you have to understand and decide on is one of the most important which is which Cloud platform that you should learn first AWS Azure or gcp. Now the truth is is that they all provide similar services but tweaked and named slightly differently different Cloud platforms dominate various sectors of the market for instance when I started working in the private sector I.E non-government businesses AWS was widely used across those Industries then when I started working in the public sector I.E the government departments Azure was often preferred with a mix of hybrid Cloud using AWS gcp is known for its high performance Computing and data analytics capabilities now choosing a platform that aligns with your career aspirations or demand in your geographical area of desired industry is critical so you want to pick something that’s popular in the area that you live and the industry that you work in I also need you to understand that this decision isn’t one that you should spend too much time on it is a big one but you need to spend more time actually learning the platform of your choice rather than deciding which platform to learn.

CI/CD for Cloud Engineers 🚀

Next up we have cicd cicd stands for continuous integration and continuous deployment the CIF phase is the practice of frequently integrating code changes into a shared repository each integration is automatically tested usually through automated builds and tests to detect integration errors as quickly as possible possible then we have the cd part which takes the changes that pass through the CI phase and automatically deploys them to the different environments fundamentally cicd speeds up the process of getting software from development to deployment to production allowing for faster delivery of features and updates and if you work in the cloud you will need to help software teams deployed the application faster running in the cloud and there are two technologies for cicd that you should learn learn one is for integration and deployment and the other one is for security which will make you a lot of money.

The CIF phase is the practice of frequently integrating code changes into a shared repository each integration is automatically tested usually through automated builds and tests to detect integration errors as quickly as possible.

Technologies for CI/CD ⚙️

The first one is GitHub actions now GitHub is the most popular code repository platform learning GitHub actions allows you to automate your workflow from code commit to deployment now the next technology is all about security which we need to think about when we’re building and deploying software through pipelines to applications running in the cloud now as Engineers you may have heard of vulnerabilities like prototype pollution or SQL injection but identifying them is just the first step the real question is what do you do if you see these vulnerabilities in your applications and that’s where today’s sponsor sneak comes into the picture sneak isn’t just another security tool it’s an integrated solution that works where you do whether you’re managing AWS work clows or juggling multiple projects sneak stands out by scanning your code dependencies containers and configuration in real time identifying and helping you fix vulnerabilities as they arise and the best part is incredibly userfriendly you can start by signing up for free using my exclusive link sn. c/a once you import your repositories sneak gets to work pinpointing your vulnerabilities and it doesn’t stop there sneak even open fixes your PRS for you all you need to do is review and merge them and then you’re good to go it does doesn’t stop there though sneak integrates seamlessly with your existing tools like your IDE clis repositories pipelines Docker Hub and so much more and my favorite part is how well sneak is integrated with AWS especially code Pipeline and Cloud foration ensuring that you can build and run your applications securely on AWS you can play around with sneak for yourself and find out if there are any vulnerabilities affecting your projects remember it’s free for ever when you sign up using my link snak.io.

Infrastructure as Code (IAC) 🏗️

Other than physical Hardware configuration or interactive configuration tools and here is why it’s crucial firstly IAC allows you to manage your infrastructure more efficiently and with less errors it ensures consistency across environments by treating infrastructure as code and just like software code your infrastructure can be version controlled as well allowing better collaboration among team members now with IAC you can automate the deployment of infrastructure.

IAC Technologies for Cloud Engineering 🖥️

Depending on the cloud platform that you’ve picked now if you’ve picked AWS you should dive into AWS cdk which allows you to Define Cloud resources using familiar programming languages like typescript or python so not only does that teach you how to learn IAC but also a programming language this brings a software development approach to Cloud infrastructure management now if you want to learn a technology more Universal than I suggest learning terraform which enables you to Define and provision infrastructure across various Cloud providers using a simple declarative language it’s known for its integration between Cloud platforms making it popular tool for cloud Engineers.

Programming in the Cloud 💻

Understanding a programming language can elevate your ability to interact with the cloud efficiently and one of the core aspects of cloud engineering is the ability to automate repetitive tasks programming skills are fundamental to creating scripts and tools for automation because sometimes the outof the-box solutions provided by these Cloud platforms need customization to suit your specific needs and programming allows you to tailor these solutions to your client requirements and as we discussed earlier IAC is a significant part of cloud engineering although I don’t think using ter form counts as programming as it’s more declarative it’s definitely a step in the right direction but if you use cdk with typescript you will learn to program.

AI and Machine Learning in Cloud Engineering 🧠

In today’s Cloud Centric World Ai and ml isn’t just for data scientists is becoming increasingly important for cloud Engineers too understanding Ai and ml allows Cloud Engineers to design more intelligent and efficient Cloud Solutions this knowledge is crucial for integrating AI capabilities into various cloud services and as AI continues to grow Power Engineers with these skills will be in high demand.

Conclusion ✨

I genuinely believe that being a Cloud engineer is the best job within the tech industry and the cloud is only getting bigger which means more and more businesses will need to integrate to the cloud and then also modernize and re-architect their applications so it scales and delivers a better customer experience. Thank you so much for watching and I’ll see you on the next one.