AWS & Cloud Computing for beginners | 50 Services in 50 Minutes

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6:10 will they go down if the whole earth goes down?

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Nice Explanation with this Example
If someone wants to re memorize all these things they can prefer my summarize notes
Here is my notes below: –
✅ AWS Topics – Simplified & Well-Structured Guide

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🔁 REST API Deployment in AWS

If you have a REST API (built using Python, Java, etc.) running in your data center and you want to deploy it in AWS, you’ll need compute resources—just like virtual machines (VMs)—to host your application.

When your application is hosted on multiple VMs, you’ll also need a load balancer to distribute incoming traffic evenly across all the instances.

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🖥 Core AWS Compute Services

• EC2 (Elastic Compute Cloud): A virtual machine where you can deploy applications like REST APIs, websites, etc.

• ELB (Elastic Load Balancer): Distributes incoming traffic among multiple EC2 instances to prevent any one server from becoming overloaded.

• ASG (Auto Scaling Group): Automatically creates and manages multiple EC2 instances. It also distributes them across different availability zones within a region. This ensures high availability—your application won’t go down even if one server or a data center fails.

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⚙ Managed Compute Services

• Elastic Beanstalk: A fully managed service where you just upload your application code, and AWS handles the infrastructure (including EC2, load balancing, scaling, etc.).

• ECS (Elastic Container Service) & EKS (Elastic Kubernetes Service): These are container orchestration services. You define how many containers you want in your cluster (e.g., 2, 3, 4), and AWS handles the deployment and scaling.

• Fargate: A serverless option for running containers using ECS or EKS without managing the underlying servers.

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⚡ Serverless Computing

• AWS Lambda: A serverless function service. You can write a function and AWS will run it automatically in response to events (like HTTP requests). It scales automatically—from 10 requests to 10,000—without any manual setup.

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🛢 Managed Database Services

🔷 Relational Databases (Structured Data)

• Uses structured schema with tables, rows, foreign keys, and primary keys.

• Good for consistent, transactional workloads like banking or inventory systems.

• Examples: RDS, Aurora

(Note: These scale well, but not as massively as NoSQL databases.)

🔶 NoSQL Databases (Flexible Schema)

• Designed for unstructured or semi-structured data.

• Offers better scalability than traditional relational databases.

• Example: DynamoDB – AWS’s most popular NoSQL service.

o Stores data in JSON format.

o Supports indexing on document fields.

o Provides high flexibility and performance.

📊 Other Database Types

• Transactional Databases: For operations like updating multiple rows or deleting records in bulk.

• Analytical Databases:

o Example: Redshift – used for analytics and reporting.

o You can use data pipelines to move data from transactional databases to analytical systems.

• AWS QuickSight: A business intelligence (BI) tool for creating visual dashboards and reports.

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💾 Storage Services

• EBS (Elastic Block Store): Acts as a hard disk for EC2 instances. Automatically created when you launch an EC2.

• EFS (Elastic File System): A shared file system that can be accessed by multiple EC2 instances simultaneously.

📦 Object Storage

• S3 (Simple Storage Service):

o Stores all kinds of files (text, audio, video, etc.) in buckets.

o Can be used to host static websites (HTML, CSS, JS).

o Highly durable and scalable.

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🌐 Networking & Security

• VPC (Virtual Private Cloud):

o Creates a secure, isolated network within AWS.

o Lets you control traffic going in and out of your applications.

• Subnets: Divide your VPC into smaller logical sections (e.g., public and private subnets).

• VPN: Allows you to securely connect your on-premises data center to your AWS VPC.

• Route 53: Domain name system (DNS) service that maps domain names to AWS resources.

• CloudFront: A content delivery network (CDN) that distributes static content globally for faster access and lower latency.

🛡 Why Security Matters? Cloud infrastructure is shared across multiple users (tenants). So, isolating and securing your traffic is very important compared to traditional private data centers.

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✉ Messaging Services

• SQS (Simple Queue Service): A message queue used to decouple components of an application.

• SNS (Simple Notification Service): Sends notifications via email, SMS, or other channels when specific events occur.

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🔧 DevOps in AWS

• CI (Continuous Integration): Automatically build and test code after every change.

• CD (Continuous Deployment): Automatically deploy code to production after testing.

🛠 AWS DevOps Tools

• AWS CodePipeline: Automates the CI/CD workflow.

• CodeBuild: Compiles source code and runs tests.

• CodeDeploy: Deploys the application to EC2, Lambda, or ECS.

💡 Infrastructure as Code (IaC)

• Provisioning Tools:

o CloudFormation, Terraform, AWS CDK – used to create and manage cloud resources using code.

• Configuration Management:

o Ansible, Chef, Puppet – used to manage and update software on multiple servers.

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📈 Monitoring & Observability

• CloudWatch:

o Metrics: Monitors performance data like CPU usage.

o Logs: Collects logs from your applications and AWS services.

• AWS X-Ray: Helps trace a request as it travels through different services (useful in microservice architectures).

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• 🧠 When to Use What?

Use Case Recommended Services

Banking app RDS, Aurora (Structured data, strong consistency)

Social media app DynamoDB (Flexible, scalable)

Simple API Lambda, or EC2 if more control needed

Microservices ECS/EKS with or without Fargate

Hosting website S3 + CloudFront + Route 53

kudos 🤙