Amazon RedShift
This modulewill address the following topics:
•Amazon Relational Database Service (Amazon RDS)
•Amazon DynamoDB
•Amazon Redshift
•Amazon Aurora
4.
Amazon Aurora
Amazon Aurorais a MySQL-and PostgreSQL-compatible
relational database that is built for the cloud.
It combines the performance and availability of high-end
commercial databases with the simplicity and cost-effectiveness
of open-source databases.
Using Amazon Aurora can reduce your database costs while
improving the reliability and availability of the database.
As a fully managed service, Aurora is designed to automate
time-consuming tasks like provisioning, patching, backup,
recovery, failure detection, and repair.
6.
Types of AmazonAurora DB Instances
Single Master
Primary DB Instance- Read & Write
Aurora Replica – Read
Multimaster – Read write in Primary DB instance and Aurora
Replicas
9.
Benefits of AmazonAurora
It is highly available
It offers a fast, distributed storage subsystem.
Amazon Aurora is straightforward to set up and uses SQL queries.
It is designed to have drop-in compatibility with MySQL and
PostgreSQL database engines so that you can use most of your
existing database tools with little or no change.
Amazon Aurora is a pay-as-you-go service,
It’s a managed service that integrates with features such as
AWSDatabase Migration Service (AWS DMS)and the AWS
Schema Conversion Tool.
These features are designed to help you move your dataset into
Amazon Aurora.
13.
Amazon Aurora
Why mightyou use Amazon Aurora over other options, like SQL
with Amazon RDS?
Most of that decision involves the
high availability and
resilient design that Amazon Aurora offers.
14.
Amazon Aurora
Amazon Aurorais designed to be highly available
:it stores multiple copies of your data across multiple Availability
Zones with continuous backups to Amazon S3.
Amazon Aurora can use up to 15 read replicas can be used to
reduce the possibility of losing your data.
Additionally, Amazon Aurora is designed for instant crash
recovery if your primary database becomes unhealthy
16.
Amazon Aurora
After adatabase crash, Amazon Aurora does not need to replay
the redo log from the last database checkpoint.
Instead, it performs this on every read operation.
This reduces the restart time after a database crash to less than
60 seconds in most cases.
With Amazon Aurora, the buffer cache is moved out of the
database process, which makes it available immediately at
restart.
This reduces the need for you to throttle access until the cache is
repopulated to avoid brownouts.
![IVS CTO Night And Day 2018 Winter - [re:Cap] AWS Databases](https://cdn.slidesharecdn.com/ss_thumbnails/ctonight2018databaseservicesupdaterecap-190115184302-thumbnail.jpg?width=640&height=640&fit=bounds)
