The Amazon Relational Database Service, or Amazon RDS for short was announced. Now in beta, RDS makes it easier for you to set up, operate, and scale a relational database in the cloud. You get direct database access without worrying about infrastructure provisioning, software maintenance, or common database management tasks.
Using the RDS APIs or the command-line tools, you can access the full capabilities of a complete, self-contained MySQL 5.1 database instance in a matter of minutes. You can scale the processing power and storage space as needed with a single API call and you can initiate fully consistent database snapshots at any time.
Much of what you already know about building applications with MySQL will still apply. Your code and your queries will work as expected; you can even import a dump file produced by mysqldump to get started.
Amazon RDS is really easy to use. I'll illustrate the most important steps using the command-line tools, but keep in mind that you can also do everything shown here using the APIs.
The first step is to create a database instance. Here's how to create a database named mydb with room for up to 20 GB of data:
You can specify any one of five server instance classes:
- db.m1.small (1.7 GB of RAM, $0.11 per hour).
- db.m1.large (7.5 GB of RAM, $0.44 per hour)
- db.m1.xlarge (15 GB of RAM, $0.88 per hour).
- db.m2.2xlarge (34 GB of RAM, $1.55 per hour).
- db.m2.4xlarge (68 GB of RAM, $3.10 per hour).
During the beta you can create up to twenty databases per AWS account, and each one can consume up to 1 TB of storage. You can specify an availability zone (which you should do if you plan to access it from an EC2 instance) or you can let RDS choose one for you.
You can check on the status of your new database at any time:
DBINSTANCE mydb db.m1.large MySQL5.1 20 dbroot creating 1 us-east-1d 1
SECGROUP default active
PARAMGRP default.MySQL5.1 in-sync
When the status changes from creating to available your database is ready for use and the command output will include the server name and connection string you use to access the database instance from the command line or your application:
DBINSTANCE mydb 2009-10-15T22:47:48.037Z db.m1.large MySQL5.1 20 dbroot available mydb.cwuz5lta310x.us-east-1.rds.amazonaws.com 3306 us-east-1d 1
SECGROUP default active
PARAMGRP default.MySQL5.1 in-sync
The final step is to edit the database's security group so that it allows inbound connections. You can enable connections from any (or all) of your EC2 security groups:
You can also enable connections from a particular IP address or address range using CIDR notation:
And that's all it takes to create a fully functioning DB Instance of MySQL 5.1 in the cloud. There's nothing to install, nothing to configure, and nothing to tune. The DB Instance will use the InnoDB storage engine.
If you need more storage space, you can expand your instance like this:
If you don't use the --apply-immediately parameter, the expansion will be performed during your DB Instance's maintenance window. The maintenance window opens once per week for four hours. During that time we will apply the latest MySQL patches (if necessary) and take care of any pending scaling operations. Your DB Instance will be unavailable only for the minimum amount of time required to make system changes on your behalf. You should set the maintenance window to a time that will result in the least possible inconvenience and down time for your users.
You can set up a two hour backup window and a retention period for automated backups, and you can also create a database snapshot at any time:
You can create new Amazon RDS DB Instances from either type of backup.With the automated backup feature, you can restore to any point in time within your backup retention period, up to the last five minutes.
Each DB Instance exports a number of metrics to CloudWatch including CPU Utilization (percent), Free Storage Space (bytes), and Database Connections (count).
At this point in the post I'd usually talk about the uses for the service, but I think that's pretty obvious! I should point out that RDS enables a lot of really enticing development and test scenarios. You can set up a separate database instance for each developer on a project without making a big investment in hardware.
Once you've deployed RDS for production use, you can easily scale up to larger instance sizes, add additional storage space (up to a total of 1 TB per RDS instance), and make backups with ease. You can easily snapshot a production database and then bring it back to the lab to dig in to a problem.
RDS usage is charged by the DB Instance hour. As noted above, there are five instance sizes and corresponding hourly rates. You'll also pay 10 cents per GB per month for your provisioned storage and 10 cents for every million I/O requests. You get backup space to store 100% of your provisioned storage at no additional charge, with additional space priced at 15 cents per GB per month. The usual AWS charges for data transferred in and out of the cloud also apply.
We have a number of enhancements planned for the future. Here are some of the features planned for the coming months:
- Reserved DB Instances so that you can pay a low one-time fee and then receive a substantial discount on your hourly usage charges.
- A High Availability offering so that you can easily and cost-effectively provision synchronously replicated RDS instances in two different availability zones.
We believe that RDS will make a really nice complement to Amazon SimpleDB and that each of the services has a number of unique features and use cases. A number of our early adopters are planning to use both of the services in their AWS applications.
Aucun commentaire:
Enregistrer un commentaire