This document summarizes Amazon Web Services (AWS) database solutions. It discusses Relational Database Service (RDS) which provides databases like Aurora, PostgreSQL, MySQL, Oracle, MariaDB and SQL Server. It is managed by AWS, taking care of updates, performance, backups and monitoring. RDS uses EC2 instances and provides features like daily automated backups, multi-AZ deployment for redundancy, database read replicas for queries, and restore from backups. DynamoDB is also covered, being a NoSQL database using primary keys and provisioned throughput capacity.

1. Working with DB using
AWS solutions

2. Amazon provides following dbs
● RDS
○ Amazon Aurora
○ PostgreSQL (NEW)
○ MySQL
○ Oracle
○ MariaDB
○ Microsoft SQL server
● NoSQL

3. Why use RDS?
Because AWS takes care about:
● Software updates
● Performance
● Backups
● Monitoring
● Replica

4. RDS Instance Architecture
EC2 Instance type
(r3.large)
Amazon Linux
MySQL

5. RDS Backups
● Occurs daily (by default)
● Configurable window to backup
● Storing 1-35 days
● Restore DB from backup

6. Multi-AZ Deployment
● Database replication to different AZ
● Automatic failover

7. Database Read Replica
Features:
● Non-production copy of database
● Eventual consistency with source
● Useful for running queries on data
● Won’t be used as failover

8. DynamoDB
● Primary Keys
○ string
○ number
○ binary
● Provisioned Throughput Capacity

9. Key: { /* required */
someKey: { /* AttributeValue */
B: new Buffer('...') || 'STRING_VALUE',
BOOL: true || false,
BS: [
new Buffer('...') || 'STRING_VALUE',
/* more items */
],
L: [
/* recursive AttributeValue */,
/* more items */
],
M: {
someKey: /* recursive AttributeValue */,
/* anotherKey: ... */
},
N: 'STRING_VALUE',
NS: [
'STRING_VALUE',
/* more items */
],
NULL: true || false,
S: 'STRING_VALUE',
SS: [
'STRING_VALUE',
/* more items */
]
},
/* anotherKey: ... */