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Daberechi
Daberechi

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Cloud Computing vs. Cloud Security: A Complete Guide

  1. Definitions

Cloud Computing

The on-demand delivery of IT resources (servers, storage, databases, etc.) over the internet with pay-as-you-go pricing.

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Cloud Security

The practices and technologies designed to protect cloud-based systems, data, and infrastructure from threats.

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  1. Key Characteristics

Cloud Computing

On-demand self-service: Provision resources without human interaction.

Broad network access: Accessible via internet from any device.

Resource pooling: Multi-tenant architecture (shared resources).

Rapid elasticity: Scale up/down instantly.

Measured service: Pay only for what you use.

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Cloud Security

Data encryption: Protects data at rest and in transit.

Identity and Access Management (IAM): Controls who can access resources.

Compliance: Meets regulations like GDPR, HIPAA.

Threat detection: AI/ML-based anomaly detection.

Shared responsibility model: Security is split between provider & user.

Visual Idea:

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  1. Key Differences Purpose:

Cloud computing = Delivery mechanism for IT resources

Cloud security = Protection mechanism for those resources

Focus Areas:

Computing focuses on availability and scalability

Security focuses on confidentiality, integrity and availability (CIA triad)

Components:

Computing includes virtual machines, storage buckets, APIs

Security includes firewalls, encryption tools, IAM policies

Professional Roles:

Cloud computing professionals design/build cloud architectures

Cloud security professionals audit and harden those architectures

They work together - cloud computing provides the platform, while cloud security ensures it operates safely. You can't have effective cloud computing without proper cloud security measures in place.

  1. How They Work Together

Cloud computing provides the infrastructure, while cloud security ensures it’s safe. Example:

Without security: A misconfigured S3 bucket could leak sensitive data.

With security: Encryption + IAM policies prevent breaches.

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  1. Best Practices for Developers

Cloud Computing Tips

Use auto-scaling to optimize costs.

Leverage serverless (AWS Lambda, Azure Functions).

Monitor performance with tools like CloudWatch.

Cloud Security Tips

Always enable MFA for accounts.

Use infrastructure-as-code (Terraform) to avoid misconfigurations.

Regularly audit permissions with tools like AWS IAM Analyzer.

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  1. Final Thoughts

Cloud computing powers modern apps, but security is what makes them trustworthy. As a developer, understanding both ensures you build scalable AND secure systems.
What is your biggest with cloud security? Let's discuss in the comments!

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