As AWS's main motive is to offer cloud-based services ie. various computing, storage, database, networking, analytics, machine learning, and application deployment needs.
The majority of businesses and individuals are interrelated and dependent on cloud services. So, this blog highlights all about the AWS cloud and the diverse types of AWS services available.
Compute Services:
Amazon Elastic Compute Cloud (EC2): It's a virtual server in the cloud.
AWS Lambda: You don't need to worry about server management or scaling, as it's a serverless computing service as well as functions in various programming languages, including Python, JavaScript, Java, and C#.
Amazon Elastic Container Service (ECS): Container management service.
Storage + Content Delivery Services:
Amazon Simple Storage Service (S3): For large data & file storage capability ie. videos, images, and documents.
Amazon Elastic Block Store (EBS): it offers durable and reliable storage for your applications and data. Including database systems and high-performance computing. (can be attached to EC2 instance)
Amazon Glacier: Low-cost archive storage for accessing infrequent data.
Amazon CloudFront: Helps you quickly deliver content.
Database Services:
Amazon Relational Database Service (RDS): Simply, it handles administrative tasks such as hardware provisioning, software patching, backups, and automated software updates.
Amazon DynamoDB: Fully managed NoSQL database that allows you to focus on developing your applications rather than managing the underlying infrastructure.
Amazon Aurora: High-performance relational database.
Amazon Redshift: Data warehousing and analytics.
Networking Services:
Amazon Virtual Private Cloud (VPC): Separated virtual network for AWS resources & private workloads management.
Load Balancing: Les your incoming traffic data load distributing and balancing across multiple resources.
Amazon Route 53: Scalable domain name system (DNS) web service.
AWS Direct Connect: Dedicated network connection between on-premises and AWS.
Analytics and
Machine Learning Services:
Amazon Athena: Interactive query service for analyzing data in S3 using standard SQL.
Amazon EMR: Managed Hadoop framework for big data processing.
Amazon Kinesis: Real-time streaming (live streaming TV, YT, other social media) and data ingestion service.
Amazon SageMaker: Fully managed machine learning service.
Management Services:
AWS Identity and Access Management (IAM): Manage user access and permissions.
AWS CloudFormation: Infrastructure as code service including compute instances, storage, networking, security groups, databases, load balancers, and more.
AWS CloudTrail: Monitor and log activity provides a detailed record of events and actions that occurred on AWS services, helping you to know account activity.
AWS Systems Manager: Centralized management of AWS resources.
Application Integration Services:
Amazon Simple Notification Service (SNS): Pub/sub messaging service. (Email, Ph.no, specific user account, SMS text messages, mobile push notifications,)
Amazon Simple Queue Service (SQS): Managed message queue service.
Amazon Simple Workflow Service (SWF): SWF allows you to define workflows as a series of tasks, track their progress, and handle errors and retries.
Developer Tools:
AWS CodePipeline: Continuous integration and delivery (CI/CD) service.
AWS CodeCommit: Securely store and version control code repositories.
AWS CodeDeploy: Automate application deployments to EC2 instances or on-premises.
AWS Cloud9: Cloud-based integrated development environment (IDE).
Conclusion
As technology continues to upgrade, AWS keeps introducing new services to meet businesses and developers specific needs. Thus, AWS services are designed to provide agility, scalability, and cost optimization
So,
Go AWS Service console and explore these whole services as you have a powerful toolkit to build, deploy, and scale your applications, enabling you full potential of the cloud.