Top 50+ AWS Services Explained in 10 Minutes

Introduction

This tutorial provides a comprehensive overview of the top 50+ Amazon Web Services (AWS) offerings as highlighted in the Fireship video. AWS is a leading cloud service provider with a vast array of tools to suit various cloud computing needs. Understanding these services can enhance your cloud architecture knowledge and help you choose the right tools for your projects.

Step 1: Understand AWS Fundamentals

• AWS Origin: Start by recognizing that AWS is the largest cloud service provider, supporting businesses with scalable infrastructure.
• AWS Services Overview: Familiarize yourself with the categories of services, which include compute, storage, database, machine learning, and more.

Step 2: Explore Key Compute Services

• EC2 (Elastic Compute Cloud): Virtual servers in the cloud.
• Lambda: Serverless computing that runs code in response to events.
• Elastic Beanstalk: Simplified application deployment and management.

Step 3: Learn About Storage Solutions

• S3 (Simple Storage Service): Scalable object storage for data backup.
• EFS (Elastic File System): File storage for use with AWS Cloud services and on-premises resources.
• Glacier: Low-cost cloud storage for data archiving and long-term backup.

Step 4: Discover Database Options

• RDS (Relational Database Service): Managed relational database service.
• DynamoDB: NoSQL database service for high-performance applications.
• Redshift: Data warehousing service for analytics.

Step 5: Delve Into Networking and Content Delivery

• Load Balancer: Distributes incoming application traffic across multiple targets.
• CloudFront: Content delivery network (CDN) for fast delivery of websites, APIs, and media.

Step 6: Investigate Security and Identity Management

• IAM (Identity and Access Management): Control access to AWS services and resources securely.
• Cognito: Manage user authentication and access for web and mobile applications.

Step 7: Explore Machine Learning and AI Services

• SageMaker: Build, train, and deploy machine learning models at scale.
• Rekognition: Image and video analysis service using deep learning.

Step 8: Understand Monitoring and Management Tools

• CloudWatch: Monitoring service for AWS cloud resources and applications.
• CloudFormation: Infrastructure as code service for managing AWS resources.

Step 9: Get Acquainted with Analytics and Big Data Services

• Kinesis: Real-time data streaming service.
• EMR (Elastic MapReduce): Big data processing framework using Hadoop.

Step 10: Utilize Developer and Management Tools

• AWS Amplify: Build and deploy full-stack applications quickly.
• AWS Glue: Managed ETL (Extract, Transform, Load) service for data preparation.

Conclusion

By familiarizing yourself with these top AWS services, you can leverage the power of cloud computing for various applications, from web hosting to data analysis and machine learning. Take the next step by experimenting with these services through the AWS Free Tier to gain hands-on experience. For further learning, consider exploring more specialized services or enrolling in AWS training courses to deepen your understanding.