Amazon Web Services (AWS) is the world’s leading cloud computing platform, offering a wide range of cloud computing services, including computing, storage, databases, networking, etc. This article will introduce the core services of AWS and their basic usage methods, helping users quickly get started with the AWS platform and achieve efficient cloud computing management.

 

Overview of AWS

AWS (Amazon Web Services), launched by Amazon, provides users with a series of on-demand cloud computing services. These services are distributed across multiple geographical regions and availability zones, providing users with highly available, reliable and secure cloud computing resources. AWS is widely used in various industries, including start-ups, large enterprises, and government agencies, etc.

 

The core services of AWS

Computing service

EC2 (Elastic Compute Cloud
EC2 is a virtual server service provided by AWS. Users can configure and run virtual machine instances of different specifications as needed. EC2 supports multiple operating systems and offers three billing models: on-demand, reserved, and bidding instances.

Lambda

AWS Lambda is a serverless computing service. Users only need to upload the code, and Lambda will automatically manage the underlying computing resources. Lambda is applicable to event-driven application scenarios, such as data processing, real-time file processing, etc.

Storage service

S3 (Simple Storage Service)
S3 is an object storage service, suitable for storing and managing any amount of data. S3 offers highly available and persistent storage solutions, which are widely used in scenarios such as backup, archiving, and big data analysis.

EBS (Elastic Block Store

EBS is a block storage service, mainly used to provide persistent storage for EC2 instances. EBS volumes can be expanded as needed and support snapshot and encryption functions.

Database service

RDS (Relational Database Service)
RDS is a managed relational database service that supports multiple database engines, such as MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server. RDS simplifies the deployment, management and maintenance of databases.

DynamoDB

DynamoDB is a fully managed NoSQL database service that offers high-performance and highly available key-value storage solutions, suitable for applications handling large amounts of data and high throughput.

Network service

VPC (Virtual Private Cloud
VPC enables users to create isolated network environments in the AWS cloud. Users can customize network configurations, including subnets, routing tables, gateways, etc., to ensure the security and flexibility of the network.

Route 53

Route 53 is a DNS (Domain Name System) service that provides highly available and scalable domain name resolution services. Users can manage domain names through Route 53 and achieve load balancing and failover.

Management and monitoring services

CloudWatch
CloudWatch is a monitoring and management service. Users can monitor the performance of AWS resources and applications through CloudWatch, set alert rules, and conduct log analysis and visualization.

CloudFormation
CloudFormation is an Infrastructure as Code (IaC) service that enables users to define and deploy AWS resources through templates, simplifying the process of resource configuration and management.

 

The basic usage of AWS

Create an AWS account
  1. Visit the AWS official website and click “Create an AWS Account”.
  2. Fill in your personal information and payment method to complete the account registration.
  3. Log in to the AWS Management console and start using AWS services.

 

Use an EC2 instance
  1. Log in to the AWS Management Console and select the “EC2” service.
  2. Click “Start Instance” and select the required AMI (Amazon Machine Image).
  3. Configure parameters such as instance type, storage, and network to complete instance startup.
  4. Connect to the EC2 instance via SSH to perform operations and management

 

Use S3 storage
  1. Log in to the AWS Management Console and select the “S3” service.
  2. Click “Create Bucket”, and enter the bucket name and region.
  3. Configure options such as bucket permissions and version control to complete the bucket creation.
  4. Upload and manage files, and perform data operations through the S3 API.

 

Configure the RDS database
  1. Log in to the AWS management console and select the “RDS” service.
  2. Click “Create Database”, and select the database engine and instance type.
  3. Configure parameters such as the database name, user, and password to complete the database creation.
  4. Connect to the database through the RDS terminal node to perform data operations and management.

 

Set up a VPC network
  1. Log in to the AWS Management Console and select the “VPC” service.
  2. Click “Create VPC”, and enter the VPC name and CIDR block.
  3. Create subnets, routing tables and Internet gateways, and configure network connections.
  4. ssign subnets and security groups to EC2 instances to achieve network isolation and security control.

 

The advantages of AWS
  1. Global coverage: AWS deploys data centers in multiple regions and availability zones around the world, providing highly available and low-latency services.
  2. Elastic scalability: AWS supports on-demand expansion and reduction of resources to meet the needs of different businesses.
  3. Security and Compliance: AWS offers multi-level security measures and compliance certifications to ensure the security of data and applications.
  4. Rich services: AWS offers a wide range of cloud services, covering multiple fields such as computing, storage, databases, and networking, to meet various application requirements.
  5. Cost optimization: AWS offers multiple billing models such as on-demand billing, reserved instances, and bidding instances to help users optimize costs.

 

The application scenarios of AWS
  1. Web application hosting: Utilize services such as EC2, S3, and RDS to quickly deploy and manage Web applications, achieving high availability and elastic scalability.
  2. Big data analysis: Through services such as EMR (Elastic MapReduce) and Redshift, it processes and analyzes massive amounts of data, supporting real-time data analysis and visualization.
  3. Backup and disaster recovery: Utilize services such as S3, Glacier, and EBS snapshots to achieve data backup and off-site disaster recovery, ensuring business continuity.
  4. The Internet of Things: Through services such as AWS IoT Core and Greengrass, connect and manage iot devices to achieve data collection, analysis and control.
  5. Machine learning: By leveraging services such as SageMaker and Rekognition, build and deploy machine learning models to support applications like image recognition and natural language processing.

 

Conclusion

As a globally leading cloud computing platform, AWS offers a wealth of cloud computing services to help enterprises achieve digital transformation and innovative development. This article introduces the core services of AWS and their basic usage methods, hoping to provide valuable references for beginners. With the continuous advancement of technology and the expansion of application scenarios, AWS will continue to drive the development of cloud computing and provide users with more flexible, efficient and secure cloud computing solutions.