MySQL on the Cloud

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MySQL on the Cloud AWS EC2 v/s AWS RDS
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AWS EC2 An unwanted Gift ?

• There are many disadvantages to the traditional
  method of running MySQL on the cloud. A few of
  them are
• Installation of database software like MySQL is
  necessary
• Regular patches have to be made to the instance
• Managing backups is difficult
• Replication failures need to be handled

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AWS RDS How it helps

• With just a few clicks , AWS RDS
• takes care of provisioning the infrastructure
  capacity you request and installing the database
  software.
• performs automated backups as configured with
  point-in-time recovery options. You may also
  manually initiate a DB snapshot to backup your DB
  in a known state.
• offers backup retention for up to the last 35
  days.
• applies patches that are security and durability
  related.
• manages synchronous data replication across
  physically distinct locations (Multi-AZ
  deployments).
• performs automatic failovers in case of certain
  failures and no need for manual administrative
  intervention on Multi-AZ deployments.
• creates Read Replicas (similar to MySQL Slaves)
  as requested for read intensive workloads.
• Enables Monitoring the compute and storage
  resource utilization of your DB Instance, for no
  additional charge, via Amazon CloudWatch.

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AWS EC2 vs AWS RDS

• Amazon RDS automatically stripes across multiple
  EBS volumes to enhance IOPS (input/output
  operations per second) performance. Similar
  performance may be realized on EC2 only by going
  with a RAID0 EBS but doing RAID0 EBS requires a
  significant amount of maintenance overhead.
• In addition, for I/O intensive transactional
  workloads that need consistent performance, RDS
  Provisioned IOPS lets one specify an IOPS rate
  when creating a DB Instance. Amazon RDS will then
  provision that IOPS rate for the lifetime of the
  DB instance. You can provision a MySQL instance
  with up to 30,000 IOPS!
• Just as in the case of EC2, you can increase or
  decrease the CPU and memory available to a DB
  instance by changing its instance class. Amazon
  RDS will perform the upgrade during the next
  maintenance window. The Amazon RDS maintenance
  window provides an opportunity to control when DB
  Instance modifications (such as changing DB
  Instance class) and software patching must occur.

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Easy Replication and Automatic Failover with RDS

• Running your DB Instance as a Multi-AZ deployment
  can further reduce the impact of a maintenance
  event or a DB instance failure.
• In a Multi-AZ deployment, Amazon RDS
  automatically provisions and maintains a
  synchronous standby replica in a different
  Availability Zone.
• During certain types of planned maintenance, or
  in the event of DB Instance failure or
  Availability Zone failure, Amazon RDS will
  automatically failover to the standby and your
  application can resume database operations
  without the need for manual administrative
  intervention.
• If you need to scale-out for read intensive
  workloads, you can create any number of Read
  Replicas. Database updates on the source DB
  Instance will be replicated using MySQLs native,
  asynchronous replication.
• You may also want to run reporting queries
  against a Read Replica, rather than on your
  primary, production DB Instance. RDS provides
  excellent options to tune Read Replicas for such
  specific operations. See here for more info
  http//aws.amazon.com/rds/faqs/95

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Automated Backup with RDS

• Amazon RDS offers automated backups with
  point-in-time recovery and once configured,
  automatically performs a full daily snapshot of
  your data and captures transaction logs (as
  updates to your DB Instance are made). 
• Amazon RDS retains backups of a DB Instance for
  upto the last 35 days (configurable). 
• DB Snapshots can also be user-initiated and
  enables you to back up your DB Instance in a
  known state as frequently as you wish, and then
  restore to that specific state at any time.

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Database Tuning with RDS

• In order to tune an RDS instance, you use a
  database parameter group which acts as a
  container for engine configuration values that
  can be applied to one or more DB Instances.
• This allows you to create a certain tuned
  parameter set that can be easily reused across DB
  instances.
• By default however, Amazon RDS chooses the
  optimal configuration parameters for your DB
  Instance taking into account the DB Instances
  compute resource and storage capacity.

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