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Abdul Haseeb
Abdul Haseeb

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Cloud Computing Roadmap 2025

Phase 1: Foundations of Cloud Computing

  1. Introduction to Cloud Computing

    • What is Cloud Computing?
    • History and evolution of cloud computing.
    • Key characteristics: Scalability, On-Demand, Pay-As-You-Go.
    • Cloud Service Models: IaaS, PaaS, SaaS.
    • Deployment Models: Public, Private, Hybrid, and Community Cloud.
  2. Benefits and Challenges

    • Cost efficiency, flexibility, global reach.
    • Security, compliance, and latency concerns.
  3. Virtualization Basics

    • What is virtualization?
    • Virtual machines vs. containers.
    • Role of hypervisors (Type 1 & Type 2).

Phase 2: Cloud Service Providers (CSPs)

  1. Top Cloud Providers Overview

    • AWS (Amazon Web Services)
    • Microsoft Azure
    • Google Cloud Platform (GCP)
    • IBM Cloud, Oracle Cloud, etc.
  2. Hands-On with AWS, Azure, and GCP

    • Create free-tier accounts.
    • Learn the dashboards and interfaces.
    • Use basic services like EC2 (AWS), Virtual Machines (Azure), Compute Engine (GCP).
  3. Core Services Comparison

    • Compute: EC2, Azure VM, Compute Engine.
    • Storage: S3, Blob Storage, Cloud Storage.
    • Networking: VPC, Virtual Network, Cloud Interconnect.

Phase 3: Core Cloud Services

  1. Compute

    • Virtual Machines.
    • Serverless Computing (AWS Lambda, Azure Functions, Google Cloud Functions).
    • Auto-scaling and load balancing.
  2. Storage

    • Object storage vs. Block storage vs. File storage.
    • Cloud storage services like S3, Azure Blob, GCS.
    • Backup and archival strategies.
  3. Networking

    • Virtual Private Cloud (VPC).
    • Load Balancers, Firewalls, DNS.
    • Content Delivery Networks (CDNs) like CloudFront.
  4. Databases

    • SQL: RDS (AWS), SQL Database (Azure), Cloud SQL (GCP).
    • NoSQL: DynamoDB, Cosmos DB, Firestore.
    • Data Warehousing: Redshift, Synapse Analytics, BigQuery.

Phase 4: Advanced Topics

  1. Cloud Security

    • Identity and Access Management (IAM).
    • Encryption (in-transit, at-rest).
    • Security Groups, Firewalls, and VPNs.
    • Compliance standards (GDPR, HIPAA).
  2. DevOps and Cloud

    • Infrastructure as Code (IaC): Terraform, AWS CloudFormation.
    • CI/CD Pipelines: Jenkins, GitHub Actions, AWS CodePipeline.
    • Monitoring and Logging: CloudWatch, Azure Monitor, Stackdriver.
  3. Big Data and Machine Learning

    • Data Processing: AWS EMR, Dataproc, Synapse.
    • Machine Learning platforms: AWS SageMaker, Azure ML, GCP AI Platform.
  4. Hybrid and Multi-Cloud Strategies

    • Kubernetes and Containers (EKS, AKS, GKE).
    • Multi-cloud orchestration tools.
    • Data migration between clouds.

Phase 5: Certifications (Optional but Recommended)

  1. AWS Certifications

    • AWS Certified Solutions Architect – Associate.
    • AWS Certified Developer – Associate.
    • AWS Certified DevOps Engineer – Professional.
  2. Microsoft Azure Certifications

    • Microsoft Certified: Azure Fundamentals (AZ-900).
    • Microsoft Certified: Azure Administrator Associate (AZ-104).
  3. Google Cloud Certifications

    • Google Associate Cloud Engineer.
    • Google Professional Cloud Architect.
  4. Specialized Certifications

    • CompTIA Cloud+.
    • Certified Cloud Security Professional (CCSP).

Phase 6: Cloud Projects

  1. Basic Projects

    • Deploy a static website on AWS S3.
    • Set up a WordPress blog on EC2.
  2. Intermediate Projects

    • Build a serverless application using AWS Lambda.
    • Configure a multi-tier architecture with load balancers.
  3. Advanced Projects

    • Implement CI/CD pipeline for a web application.
    • Build a real-time chat application using serverless technologies.
    • Create a data lake and analyze data using BigQuery or Redshift.

Phase 7: Emerging Trends in Cloud

  1. Edge Computing and IoT Integration

    • AWS IoT Core, Azure IoT Hub, GCP IoT Core.
    • Edge services and computing models.
  2. Sustainability in Cloud Computing

    • Carbon-neutral cloud strategies.
  3. Quantum Computing on Cloud

    • AWS Braket, Azure Quantum, Google Quantum AI.

Final Tips

  • Regularly practice on cloud platforms to gain hands-on experience.
  • Stay updated with new features and services released by cloud providers.
  • Participate in cloud hackathons or open-source projects to apply your skills.
  • Follow blogs, webinars, and tutorials by cloud experts.

Would you like a more detailed breakdown of any specific phase or assistance with creating a learning schedule?

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