AWS
Course description
Amazon Web Services (AWS) is a comprehensive and widely used cloud computing platform provided by Amazon. AWS offers a vast array of services, including computing power, storage solutions, databases, machine learning, analytics, content delivery, Internet of Things (IoT), security, and more. Here’s an overview of key concepts and services within AWS:
Key Concepts:
- Regions and Availability Zones:
- AWS operates in multiple geographical regions worldwide, each containing multiple availability zones for redundancy and fault tolerance.
- Compute Services:
- Amazon EC2 (Elastic Compute Cloud): Virtual servers in the cloud, scalable based on demand.
- AWS Lambda: Serverless computing service for executing code without managing servers.
- Storage Services:
- Amazon S3 (Simple Storage Service): Object storage service for scalable and secure storage of data.
- Amazon EBS (Elastic Block Store): Block-level storage volumes for EC2 instances.
- Amazon Glacier: Low-cost storage service for archiving and backup.
- Databases:
- Amazon RDS (Relational Database Service): Managed relational database service supporting multiple database engines.
- Amazon DynamoDB: Fully managed NoSQL database service.
- Amazon Redshift: Data warehouse service for analytics.
- Networking:
- Amazon VPC (Virtual Private Cloud): Isolated virtual networks within AWS.
- Amazon Route 53: Domain Name System (DNS) web service.
- AWS Direct Connect: Dedicated network connection between on-premises data centers and AWS.
- Content Delivery:
- Amazon CloudFront: Content delivery network (CDN) for fast and secure delivery of data, videos, applications, and APIs.
- Identity and Access Management (IAM):
- Centralized management of AWS resources, users, and permissions.
- Security and Compliance:
- AWS Identity and Access Management (IAM): Security and access control for AWS resources.
- Amazon Inspector: Automated security assessment service.
- AWS Key Management Service (KMS): Managed service for encryption key creation and control.
- Monitoring and Logging:
- Amazon CloudWatch: Monitoring and observability service.
- AWS CloudTrail: Record of AWS API calls for auditing.
- Machine Learning and AI:
- Amazon SageMaker: Fully managed service for building, training, and deploying machine learning models.
- Amazon Comprehend: Natural language processing for text analysis.
- Amazon Rekognition: Image and video analysis service.
- Internet of Things (IoT):
- AWS IoT Core: Platform for building IoT applications.
- AWS IoT Greengrass: Extends AWS IoT functionality to edge devices.
- Serverless Computing:
- AWS Lambda: Execute code without provisioning or managing servers.
- Amazon API Gateway: Build, deploy, and manage APIs.
- DevOps:
- AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy: Tools for building a continuous integration and continuous delivery (CI/CD) pipeline.
- AWS CloudFormation: Infrastructure as Code (IaC) for defining and provisioning AWS infrastructure.
- Containers and Orchestration:
- Amazon ECS (Elastic Container Service): Container orchestration service.
- Amazon EKS (Elastic Kubernetes Service): Managed Kubernetes service.
Instructor
AITech Academy
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