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Cloud Foundations

Learn about the core benefits of cloud computing: scalability, elasticity, and cost-efficiency.

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Cloud computing has transformed how we build and deploy software. It provides on-demand access to computing resources over the internet.

1What is Cloud Computing?

Cloud computing is the on-demand delivery of IT resources over the internet with pay-as-you-go pricing.

2Step-by-Step Breakdown

Welcome to Cloud Foundations. In this module, we'll explore the fundamental concepts of cloud computing.

What are the three main service models in cloud computing?

  • IaaS, PaaS, SaaS
  • HTML, CSS, JS

Level Up 🚀

Advanced cheat sheets, SEO tricks, and interview prep for this topic.

Browser Support

ChromeSupported

Fully supported.

FirefoxSupported

Fully supported.

SafariSupported

Fully supported.

EdgeSupported

Fully supported.

Accessibility (A11y)

1Cloud Dashboards Must Remain Keyboard and Screen-Reader Navigable

The AWS Management Console itself is a complex web application — when building internal tools on top of cloud APIs, don't assume a technical audience means accessibility can be skipped; ensure custom dashboards still use semantic landmarks and labeled controls.

2Document Access Boundaries Clearly for Shared Cloud Accounts

When multiple team members share a cloud account, clear IAM policy naming and console tagging helps everyone, including those relying on screen readers to navigate long resource lists, understand what they can and cannot touch.

SEO Implications

  • 1

    Cloud Architecture Decisions Are Invisible to Crawlers, But Latency Isn't

    Whether an app runs on a single EC2 instance or a globally distributed multi-region architecture has zero direct SEO weight — but the resulting page load latency, which cloud architecture directly controls, is a measured Core Web Vitals input.

  • 2

    Choose a Region Close to Your Primary Audience

    Deploying compute and storage in a region geographically distant from most users adds real network latency to every request, which can measurably affect load-time metrics search engines factor into ranking.

Best Practices

Start With the AWS Free Tier Before Committing to Paid Resources

The Free Tier lets you experiment with EC2, S3, and other core services risk-free for a year — use it to validate an architecture before provisioning anything that incurs ongoing cost.

Tag Every Resource From Day One

Applying consistent tags (environment, owner, project) to cloud resources as they're created makes cost allocation and cleanup dramatically easier than retrofitting tags onto an untagged account months later.

Frequent Bugs

THE BUG

A cloud bill arrives far higher than expected after a short experiment.

THE FIX

An untracked resource (like an idle EC2 instance, an unattached EBS volume, or a NAT Gateway) was left running after testing. Set up AWS Budgets alerts and get in the habit of tearing down experimental resources immediately after use.

THE BUG

Confusion about which service model (IaaS/PaaS/SaaS) a given AWS service actually is.

THE FIX

Map the service against how much of the stack you manage versus AWS: EC2 (you manage the OS) is IaaS, Elastic Beanstalk (you manage only code) is PaaS, and a fully managed offering like Amazon Chime is SaaS.

Real-World Examples

Choosing a Starting Point on AWS

A team prototyping a new product starts within the AWS Free Tier, using EC2 t2.micro instances and S3 for storage, validating their architecture before any paid commitment.

// Free Tier eligible starting point
// EC2: t2.micro, 750 hrs/month
// S3: 5GB standard storage

Interview Prep

?Frequently Asked Questions

Pascual Vila

Pascual Vila

Frontend Instructor // Code Syllabus

Common Pitfalls & Errors

The Error //

Leaving experimental resources running after Free Tier limits are exceeded

// AWS CLI: check what's currently running before it surprises you aws ec2 describe-instances --query 'Reservations[].Instances[].[InstanceId,State.Name]'

The Solution //

Set up an AWS Budget alert immediately when creating a new account, and tear down EC2 instances, EBS volumes, and NAT Gateways as soon as an experiment is finished, since Free Tier hours and storage limits are easy to exceed unintentionally.

The Error //

Confusing IaaS, PaaS, and SaaS when choosing a service

// IaaS: you manage the OS // PaaS: you manage only the app code // SaaS: you manage only your data/settings

The Solution //

Ask how much of the stack you're responsible for managing: full OS and runtime control means IaaS (EC2), deploying just your code means PaaS (Elastic Beanstalk), and using a finished product means SaaS (a managed email or CRM tool).

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