CLOUD COMPUTING

A cloud computing roadmap outlines the steps and skills needed to pursue a career in cloud technology. It typically involves foundational knowledge in IT and networking, proficiency in a cloud platform (like AWS, Azure, or Google Cloud), and skills in areas like security, scripting, and DevOps practices. Gaining practical experience through projects and certifications is crucial for career advancement. 

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Key Stages in a Cloud Computing Roadmap:
  • 1. Foundation:
     
  • IT and Networking Fundamentals: Understanding basic networking concepts, operating systems (especially Linux), and command-line tools is essential. 
     
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  • Cloud Concepts: Learn the basics of cloud computing, including different service models (IaaS, PaaS, SaaS) and deployment models (public, private, hybrid). 
     
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  • Programming and Scripting: Gain proficiency in at least one programming language (Python, Java, etc.) and scripting languages like Bash or PowerShell. 
     
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  • 2. Cloud Platform Proficiency:
     
  • Choose a Cloud Provider: AWS, Azure, and Google Cloud are the leading platforms. Select one and focus on its core services and features. 
     
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  • Hands-on Experience: Work on projects to build, deploy, and manage applications and infrastructure on your chosen platform. 
     
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  • Cloud Certifications: Consider pursuing certifications from your chosen cloud provider to validate your skills and knowledge. 
     
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  • 3. Specialized Skills:
     
  • Security: Understand cloud security principles, access control, encryption, and compliance requirements. 
     
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  • DevOps: Learn DevOps practices and tools like Infrastructure as Code (IaC), CI/CD pipelines, and containerization (Docker, Kubernetes). 
     
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  • Networking: Deepen your networking knowledge with a focus on cloud-specific networking concepts. 
     
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  • Database Administration: Gain experience with cloud-based databases (e.g., AWS RDS, Azure SQL Database). 
     
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  • 4. Advanced Topics:
     
  • Serverless Computing: Explore serverless architectures and services like AWS Lambda or Azure Functions. 
     
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  • Big Data and Analytics: Learn about cloud-based big data solutions and analytics services. 
     
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  • Cloud-Native Development: Understand how to design and build applications specifically for the cloud. 
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