This is an attempt to get myself familiar with Amazon Web Services. (By understand its ideas and important terms and what it’s capable of).
Important terms to remember
IaaS: Infrastructure-as-as-Service, is the first kind of cloud computing, which lets the user have the internet-based access to the cloud storagePaaS: Platform-as-a-Service, lets the developers create and host the mobile and web applications using the internet serversSaaS: Software-as-a-Service, lets the users access the same applications for all the devices using the cloud storage
Amazon S3 (Amazon Simple Storage Service):
- This is a service offered by AWS, that provides object storage through a web service interface.
- S3 is file storage (different with DynamoDB which is a Database), is suited well to store unstructured data. S3 doesn’t follow folder structure and uses everything as an object.
- S3 stores files in a flat organization of containers called
Buckets - S3 uses unique Ids called Key to retrieve files from the bucket. Maximum size for each Object is 5TB –> suitable for storing large object.
- Besides S3, Amazon provides another storage tier for long-term cold storage namely
Amazon GlacierandAmazon Elastic Block StoreAmazon Glacier: low-cost cloud storage services for cold data storage that makes the users able to store their infrequently accessed data for long retrieval times.Amazon Elastic Block Store: storage service that let the users store their persistent data in the block-level storage that is highly available even when theElastic Compute Cloud (EC2)is shut down.Amazon Elastic Compute Cloud (EC2): is a web-based service virtual server for business to run applications on. This is commonly known asInstances, which allow developers to access to compute capacity on the global AWS data centers.
- S3 on AWS documents
Amazon Redshift:
- This is a fully managed, petabyte-scale data warehouse service in the cloud.
- In order to start your data warehouse, first, you have to launch a set of nodes (called an
Amazon Redshift cluster), then you upload data set and then perform data analysis queries. - An
Amazon Redshift clusteris a set of nodes, which consists of a leader node and one or more compute nodes. More on this - When you provision a cluster, AR creates one database. This is the database to load data and run queries on your data. You can create additional database under this cluster. (Each Redshift cluster runs its own Redshift engine and contains at least one database)
- AR is a direct alternative to on-premise traditional database warehouses on the following areas:
- Performance
- Cost
- Scalability
- Security
Amazon Relational Database Service: services offered by AWS for the database management, also called Amazon RDS, let the users to be able to migrate, recover, take the backup of their data.
AWS Migration Hub, AWS Snowball: services offered by AWS to let the users migrate their data, applications, servers, and database on its publis AWS cloud, also DMS: Database Migration Service
Amazon Virtual Private Cloud (VPC): for networking, users by using this service can have full control to use a secluded of the AWS cloud, and to balance the network traffic.
AWS Config, AWS Config Rules, AWS Trusted Advisor: help users deal with the cloud resourcce configuration.
AWS Indentity and Access Management (IAM): services that help manage access over to cloud resources. (for Security purpose)
Amazon Messaging Services: Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and Amazon Simple Email Service (Amazon SES), services that help users to send sms, push notification, send emails.
AWS Development Tools: AWS Command Line Interface and Software Development Kits (SDKs), helps manage applications and services. And more services like AWS Tools for Powershell, AWS Serverless Application Model, Amazon API Gateway, etc.
Other Products and Services in the fields of AI:
- Amazon AWS Rekognition: to add visual analysis to your applications
- Amazon Lex: to build conversational interfaces using voice and text
- Amazon EMR: for Big Data
- Amazon Chime: for making online meetings efficient
- Amazon Alexa: to help you out with basic taks
- Amazon Connect: for Cloud Contact Centers
- Amazon Smart Drone: ?
AWS Kinesis:
- To work with real-time streaming data in the AWS cloud
AWS Lambda:
- Is a compure service that runs your code in response to events and automatically manages the compure resources for you
References
AWS Analytics Services
References