AWS - Overview (June 2014)

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AWS - Overview (June 2014) 저자: Mind Map: AWS - Overview (June 2014)

1. Networking

1.1. Route 53

1.2. Amazon VPC

1.3. AWS Direct Connect

1.4. Elastic Load Balacing

2. Storage & content delivery

2.1. Glacier

2.1.1. Low cost storage service

2.1.2. secure and durable storage

2.1.3. data archiving and backup

2.1.4. can be used for:

2.1.4.1. archiving

2.1.4.2. backup

2.2. EBS - Elastic Block Store

2.2.1. block lever storage volumes for use with Amazon EC2 instances

2.2.2. off-instance storage that persists independtly from the life of an isntance

2.3. S3 - Simple Storage Service

2.3.1. Fully redundat data storage

2.3.2. Storing and retrieving any amount of data

2.4. AWS Storage Gateway

2.5. Cloud Front - CDN

2.6. AWS Import/Export

3. Compute

3.1. EC2 - Elastic Cloud Compute

3.2. Amazon WorkSpaces

3.3. Amazon VPC

3.4. Auto Scaling

3.5. Elastic Load Balancing

4. Databases

4.1. DynamoDB

4.1.1. non-relational (NoSQL) database service

4.2. RDS - Relational Database Service

4.2.1. setup/operate/scale

4.2.1.1. MySQL

4.2.1.2. Oracle

4.2.1.3. SQLServer

4.2.1.4. PostgreSQL

4.3. Redshift

4.3.1. petabyte-scale data warehouse

4.3.2. bi tools

4.3.3. columnar storage

4.4. ElastiCache

4.4.1. in-memory cache in the cloud

4.5. Amazon SimpleDB (beta)

4.5.1. non-relational (NoSql) db

4.5.2. store and query data items via web services

4.5.3. highlights

4.5.3.1. schema-less design

4.5.3.2. automatic geo-redundant replication and failover

4.5.3.3. No-touch scaling

4.5.3.4. Zero administrative overhead

4.5.3.5. high-availability

4.5.4. Good for Smaller workloads - when compared with DynamoDB

5. Application Services

5.1. AppStream

5.2. CloudSearch

5.3. SWF - Simple Workflow Service

5.4. SES - Simple Email Service

5.5. SNS - Simple Notification Service

5.6. SQS - Simple Queue Service

5.7. Elastic Transcoder

6. Analytics

6.1. EMR - Elastic MapReduce

6.1.1. Hadoop

6.2. Kinesis

6.2.1. Real-time streaming data ingestion and processing

6.3. AWS Data Pipeline

6.3.1. Process and move data between different AWS compute and storage services

7. Deployment & Management

7.1. AWS (IAM)- Identity and Access Management

7.2. CloudWatch

7.3. Elastic Beanstalk

7.4. AWS CloudFormation

7.4.1. Automation

7.4.2. Trean infrastructure as code

7.5. OpsWorks

7.5.1. Model and Manage an application

7.6. CloudHSM

7.6.1. Meet corporate, contractual and regulatory compliance requirements for data security

7.7. CloudTrail

7.7.1. Records AWS API calls

7.7.2. Delivers log files for you

7.8. AWS Management Console

7.9. AWS Command Line Interface