Brief Summary
This video outlines a step-by-step roadmap to becoming a skilled cloud engineer, addressing the skills gap in the industry. It covers the importance of practical skills over certifications, the necessity of real-world projects, and how to land a job in cloud engineering. The roadmap includes foundational skills, programming and automation, cloud concepts, deep knowledge of a cloud platform, and real-world skills with practical experience.
- Focus on practical skills and real-world projects.
- Choose one cloud platform (AWS or Azure) for in-depth learning.
- Build a portfolio with diverse projects to showcase skills.
- Network and seek mentorship to accelerate learning.
Why is it a good choice?
The cloud computing market is rapidly growing, with projections indicating substantial expansion both globally and in India. By 2025, a significant majority of organisations are expected to have migrated to the cloud, creating a high demand for cloud engineers. This demand translates into numerous job openings with competitive salaries, making cloud engineering a promising career choice.
The Problem
A significant skills gap exists in the cloud engineering job market, where a large percentage of freshers lack the practical skills that companies require. This is often due to outdated college curricula and a misconception that degrees and certifications alone guarantee employment. Companies struggle to find qualified engineers, leading to extended hiring processes.
The Solution
To become a successful cloud engineer, it's crucial to acquire the specific skills that the industry actually uses. This involves a strategic, step-by-step approach to learning and practical application, focusing on real-world scenarios and problem-solving.
Is a Degree Really Required?
While a bachelor's degree is preferred for most cloud engineering positions, a significant percentage of jobs do not explicitly require one. However, it's recommended to pursue a bachelor's degree in computer science or a related field to increase eligibility for a wider range of job opportunities.
Stage 1
The first stage involves building foundational skills in Linux and networking. Since most cloud servers operate on Linux, understanding Linux basics, including operating systems, terminal commands, file permissions, and troubleshooting, is essential. Networking basics, such as IP addresses, DNS, OSI model, TCP/UDP, and firewalls, are also crucial. Understanding how the internet works, including HTTP/HTTPS and client-server models, completes this stage.
Stage 2
Stage two focuses on programming and automation, highlighting the importance of automating repetitive tasks. Python is recommended due to its ease of learning and suitability for cloud and DevOps environments. Key skills include basic programming concepts, scripting, and using Git and GitHub for version control and collaboration.
Stage 3
This stage covers cloud concepts with a vendor-neutral approach, emphasising why companies use the cloud, how cloud services are priced, and which services solve specific problems. Understanding cloud computing, its benefits, service models (IaaS, PaaS, SaaS), regions, availability zones, scalability, the shared responsibility model, and cloud pricing basics are key components.
Stage 4
Stage four involves gaining in-depth knowledge of one cloud platform, either AWS or Azure, based on job market trends in your preferred city. Key areas of focus include compute services (EC2, virtual machines), storage (object and block storage), databases (managed SQL and NoSQL services), networking (VPC, virtual networks, subnets, security groups), and identity and security (IAM, users, roles, permissions). Hands-on practice with a free-tier cloud account is highly recommended.
Stage 5
The final stage focuses on real-world skills and practical experience, which are crucial for securing a job. Key skills include Docker (understanding containers, creating Dockerfiles, and running containers), Kubernetes (deploying applications at scale), Infrastructure as Code (Terraform for automating infrastructure setup), CI/CD pipelines (using GitHub Actions or Jenkins), and monitoring and cost awareness (logs, alerts, and cost optimisation).
Must Do Projects
Building real-world projects is essential to demonstrate practical skills to recruiters. The video suggests three projects, recommending that candidates complete at least two.
Project 1
The first project involves deploying a professional cloud web application, such as a blog or portfolio, using a production-style architecture. This includes using S3 or blog storage with a content delivery network for the front end, EC2 virtual machines with auto-scaling for the back end API, a managed database service (RDS or Azure Database), and a load balancer for traffic handling. The entire infrastructure should be created using Terraform.
Project 2
The second project focuses on a smart serverless automation pipeline. This involves uploading files to S3 or block storage, triggering a Lambda or Azure Function to process the data, storing the results in DynamoDB or Cosmos DB, and setting up alerts using CloudWatch or Azure Monitor.
Project 3
The third project involves an enterprise-grade Kubernetes deployment. This includes dockerizing a simple API, deploying it on AWS EKS or Azure AKS, provisioning the Kubernetes cluster with Terraform, and setting up auto-scaling, HTTPS, and monitoring.
Project Presentation
For each project, create a separate GitHub repository with a detailed README file. Include an architecture diagram, a clear explanation of the project, step-by-step instructions to run it, and a live demo link if possible. Add these projects to the resume's project section.
Practise Mindset
Repeatedly building projects is crucial for gaining confidence and clarity. Consistency is key, and it's important to learn, build, make mistakes, and fix them regularly.
Mistakes to Avoid
One common mistake is learning in isolation. To accelerate growth, it's important to connect with others, share projects in communities, and seek mentorship or feedback from seniors.
How to Actually Land a Job?
Landing a job as a cloud engineer requires a combination of real-world cloud projects and a portfolio, experience (including internships and open-source contributions), strong communication skills (explaining architectures and trade-offs), and certifications (AWS Solution Architect, Azure Administrator/Architect, Google Cloud Associate). The best combination is certifications plus projects plus experience.
