Using Amazon RDS for Applications
SPL-06 - Version 4.2.8
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This lab demonstrates how to use an Amazon Relational Database Service (Amazon RDS) database with applications. Any application that uses an SQL database such as MySQL, SQL Server, Oracle or PostgreSQL can use Amazon RDS as a scalable, reliable database.
You will reconfigure a Drupal Open Source Content Management System (CMS) to use Amazon RDS for MySQL as the backend database with a multi-Availability Zone (AZ) deployment model.
This lab will show you how to:
- Launch an Amazon RDS database
- Transition an application to use the Amazon RDS database
- Change the Instance Type of an Amazon RDS database
- Configure an Amazon RDS database for High Availability
Technical knowledge prerequisites
To successfully complete this lab, you should be familiar with basic Linux server administration and comfortable using the Linux command-line tools.
- At the top of your screen, launch your lab by clicking
This will start the process of provisioning your lab resources. An estimated amount of time to provision your lab resources will be displayed. You must wait for your resources to be provisioned before continuing.
If you are prompted for a token, use the one distributed to you (or credits you have purchased).
- Open your lab by clicking
This will automatically log you into the AWS Management Console.
Please do not change the Region unless instructed.
Common login errors
Error : Federated login credentials
If you see this message:
- Close the browser tab to return to your initial lab window
- Wait a few seconds
- Click again
You should now be able to access the AWS Management Console.
Error: You must first log out
If you see the message, You must first log out before logging into a different AWS account:
- Click click here
- Close your browser tab to return to your initial Qwiklabs window
- Click again
What is Amazon RDS?
Amazon Relational Database Service (Amazon RDS) is a web service that makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business.
Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle, Microsoft SQL Server, or PostgreSQL database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.
Amazon RDS DB Instances can be provisioned with either standard storage or Provisioned IOPS storage. Amazon RDS Provisioned IOPS is a storage option designed to deliver fast, predictable, and consistent I/O performance, and is optimized for I/O-intensive, transactional (OLTP) database workloads.
In addition, Amazon RDS makes it easy to use replication to enhance availability and reliability for production workloads. Using the Multi-AZ deployment option you can run mission critical workloads with high availability and built-in automated fail-over from your primary database to a synchronously replicated secondary database in case of a failure. Amazon RDS for MySQL also enables you to scale-out beyond the capacity of a single database deployment for read-heavy database workloads. As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use.
Some common features of Amazon RDS are:
Pre-configured Parameters: Amazon RDS DB Instances are pre-configured with a sensible set of parameters and settings appropriate for the DB Instance class you have selected. You can simply launch a MySQL, Oracle or SQL Server DB Instance and connect your application within minutes without additional configuration. If you desire additional control, you can achieve it via DB Parameter Groups.
Monitoring and Metrics: Amazon RDS provides Amazon CloudWatch metrics for your DB Instance deployments at no additional charge. You can use the AWS Management Console to view key operational metrics for your DB Instance deployments, including compute/memory/storage capacity utilization, I/O activity, and DB Instance connections.
Automatic Software Patching: Amazon RDS will make sure that the relational database software powering your deployment stays up-to-date with the latest patches. You can exert optional control over when and if your DB Instance is patched via DB Engine Version Management.
Automated Backups: Turned on by default, the automated backup feature of Amazon RDS enables point-in-time recovery for your DB Instance. Amazon RDS will backup your database and transaction logs and store both for a user-specified retention period. This allows you to restore your DB Instance to any second during your retention period, up to the last five minutes. Your automatic backup retention period can be configured to up to thirty five days.
DB Snapshots: DB Snapshots are user-initiated backups of your DB Instance. These full database backups will be stored by Amazon RDS until you explicitly delete them. You can create a new DB Instance from a DB Snapshot whenever you desire.
Provisioned IOPS: Using the Amazon RDS APIs, or with a few clicks on the AWS Management Console, you can provision the IOPS (Input/Output Operations Per Second) for your database instance and scale it easily. This functionality is available to you in two stages. Starting immediately, when you create new DB Instances using the AWS Management Console or the Amazon RDS APIs, you can provision from 1,000 IOPS to 10,000 IOPS with corresponding storage from 100GB to 1TB for MySQL and Oracle engines. You can start small and scale up in increments of 1,000 IOPS and 100GB of storage. If you are using SQL Server then the maximum IOPS you can provision is 7,000 IOPS.
Push-Button Scaling: Using the Amazon RDS APIs or with a few clicks on the AWS Management Console, you can scale the compute and memory resources powering your deployment up or down. Scale compute operations typically complete within a handful of minutes. For MySQL and Oracle database engines, as your storage requirements grow, you can also provision additional storage on-the-fly with zero downtime. If you are using RDS Provisioned IOPS with the MySQL and Oracle database engines, you can also scale the throughput of your DB Instance by specifying the IOPS rate from 1,000 IOPS to 10,000 IOPS and corresponding storage from 100GB and 1TB in 1,000 IOPS and 100GB increments.
Automatic Host Replacement: Amazon RDS will automatically replace the compute instance powering your deployment in the event of a hardware failure.
Replication: Amazon RDS provides two distinct but complementary replication features: Multi-AZ deployments and Read Replicas that can be used in conjunction to gain enhanced database availability, protect your latest database updates against unplanned outages, and scale beyond the capacity constraints of a single DB Instance for read-heavy database workloads. Multi-AZ deployments are available for the MySQL and Oracle database engines. Read Replicas are currently supported for the MySQL database engine.
Isolation and Security: Using Amazon VPC, you can isolate your DB Instances in your own virtual network, and connect to your existing IT infrastructure using industry-standard encrypted IPsec VPN. The VPC functionality is supported by all RDS DB Engines. To learn more about Amazon RDS in VPC, refer to the Amazon RDS User Guide. In addition, using Amazon RDS, you can configure firewall settings and control network access to your DB Instances.
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