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  1. Skills Directory
  2. Cloud Computing

Cloud Computing

A cloud computing expert has a diverse skill set that spans various aspects of cloud technologies, enabling them to navigate the complexities of modern cloud environments. As businesses increasingly adopt cloud solutions for scalability, flexibility, and cost-effectiveness, a cloud computing generalist plays a pivotal role in designing, implementing, and managing these solutions.

Questions relating to specific skills for AWS, Azure, and GCP are available as well.

Key Competencies:

  1. Cloud Service Providers

    • Proficiency in working with major cloud providers such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and others.
    • Understanding of the core services offered by each provider, including computing, storage, databases, networking, and analytics.

  2. Cloud Architecture:

    • Ability to design scalable, reliable, and secure cloud architectures that align with business requirements.
    • Knowledge of various architectural patterns like microservices, serverless, and containerization.

  3. Infrastructure as Code (IaC):

    • Skill in using tools like Terraform, AWS CloudFormation, or Azure Resource Manager to define and manage cloud infrastructure programmatically.
    • Experience in versioning and maintaining infrastructure code for consistency and repeatability.

  4. Networking and Security:

    • Understanding of cloud networking concepts such as Virtual Private Clouds (VPCs), subnets, routing, and load balancing.
    • Knowledge of security best practices, including identity and access management, encryption, and compliance standards.

  5. Containers and Orchestration:

    • Proficiency in containerization technologies like Docker and container orchestration platforms like Kubernetes.
    • Ability to deploy and manage applications in containerized environments for improved scalability and portability.

  6. Serverless Computing:

    • Familiarity with serverless architectures and services, such as AWS Lambda, Azure Functions, and Google Cloud Functions.
    • Skill in designing event-driven applications that leverage serverless capabilities.

  7. Data Management:

    • Knowledge of cloud-based data storage solutions like Amazon S3, Azure Blob Storage, and Google Cloud Storage.
    • Understanding of cloud databases, including SQL, NoSQL, and managed database services.

  8. Monitoring and Logging:

    • Proficiency in setting up monitoring, alerting, and logging systems to ensure the health and performance of cloud resources.
    • Experience with tools like AWS CloudWatch, Azure Monitor, and Prometheus.

  9. Automation and DevOps:

    • Skill in building and maintaining Continuous Integration/Continuous Deployment (CI/CD) pipelines for efficient software delivery.
    • Knowledge of source control systems, build tools, and deployment strategies.

  10. Cost Management:

    • Understanding of cloud cost models and optimization techniques to control expenses while scaling applications.
    • Proficiency in monitoring and managing resource usage to prevent cost overruns.

  11. Migration and Hybrid Environments:

    • Experience in migrating on-premises applications and workloads to the cloud, including lift-and-shift and rearchitecting strategies.
    • Knowledge of hybrid cloud setups that integrate on-premises infrastructure with cloud services.

  12. Troubleshooting and Problem Solving:

    • Ability to diagnose and resolve issues in complex cloud environments by analyzing logs, metrics, and system behavior.