Getting started Before starting the lab, make sure to prepare an account to use AWS services by either creating a new AWS account or using your existing AWS account. When you are ready, you may start the lab from the next page. Also, to minimize the browser compatibility issue, we recommend you to use either Mozilla Firefox or Google Chrome Browser for the lab. Setting up an AWS Account Sign up using your email address Open the Amazon Web Services (AWS) home page. Choose Create an AWS Account. Note: If you signed in to AWS recently, choose Sign in to the Console. If Create a new AWS account isn't visible, first choose Sign in to a different account, and then choose Create a new AWS account. In Root user email address, enter your email address, edit the AWS account name, and then choose Verify email address. An AWS verification email will be sent to this address with a verification code. Verify your email address 1. Enter the code you receive, and then choose Verify. The code might take a few minutes to arrive. Check your email and spam folder for the verification code email. Create your password 2. Enter your Root user password and Confirm root user password, and then choose Continue. Add your contact information 3. Select Personal or Business. Note: Personal accounts and business accounts have the same features and functions. 4. Enter your personal or business information. 5. Important: For business AWS accounts, it's a best practice to enter the company phone number rather than a personal cell phone number. Configuring a root account with an individual email address or a personal phone number can make your account insecure. 6. Read and accept the AWS Customer Agreement. 7. Choose Continue. 8. You receive an email to confirm that your account is created. You can sign in to your new account using the email address and password that you registered with. However, you can't use AWS services until you finish activating your account. Add a payment method 9. On the Billing information page, enter the information about your payment method, and then choose Verify and Add. 10. If you are signing up in India for an Amazon Internet Services Private Limited (AISPL) account, then you must provide your CVV as part of the verification process. You might also have to enter a one-time password, depending on your bank. AISPL charges your payment method two Indian Rupees (INR), as part of the verification process. AISPL refunds the two INR after the verification is complete. 11. If you want to use a different billing address for your AWS billing information, choose Use a new address. Then, choose Verify and Continue. 12. Important: You can't proceed with the sign-up process until you add a valid payment method. Verify your phone number 13. On the Confirm your identity page, select a contact method to receive a verification code. 14. Select your phone number country or region code from the list. 15. Enter a mobile phone number where you can be reached in the next few minutes. 16. If presented with a CAPTCHA, enter the displayed code, and then submit. 17. In a few moments, an automated system contacts you. 18. Enter the PIN you receive, and then choose Continue. Choose an AWS Support plan 19. On the Select a support plan page, choose one of the available Support plans. For a description of the available Support plans and their benefits, see Compare AWS Support plans. 20. Choose Complete sign up. Wait for account activation 21. After you choose a Support plan, a confirmation page indicates that your account is being activated. Accounts are usually activated within a few minutes, but the process might take up to 24 hours. 22. You can sign in to your AWS account during this time. The AWS home page might display a Complete Sign Up button during this time, even if you've completed all the steps in the sign-up process. 23. When your account is fully activated, you receive a confirmation email. Check your email and spam folder for the confirmation email. After you receive this email, you have full access to all AWS services.
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Amazon Aurora Lab

Amazon Aurora Lab is a deeper dive into the Amazon Aurora service,  use cases, architecture, features, and hands on labs.

Example Agenda

We created a sample agenda to help you plan, run, and follow up your Labs Day to ensure your event is successful. It can take 2-3 weeks to prepare, so please plan accordingly!

09:00

Welcome & Intros

15 min

Let's get started with AWS!

09:15

Introduction and Aurora Fundamentals

60 min

Introduction to Amazon Aurora and where it fits in the broader AWS service offering. Deep dive into the innovative architecture of the Aurora database service, covering data storage and durability, connectivity and service components.

10:15

Lab - Getting Started (PostgreSQL)

30 min

Getting started with Postgre SQL 

10:45

Lab - Create a new Amazon Aurora PostgreSQL DB cluster manually (PostgreSQL)

30 min

Create a new Amazon Aurora PostgreSQL DB cluster manually. Connect to Aurora instance using a psql utility installed on a bastion instance.

11:15

Break

15 min

Take a minute to relax...

11:30

Management and Monitoring (MySQL & PostgreSQL)

60 min

Learn about the operational aspects of Aurora, how to manage Aurora clusters, the features and configuration controls available, and how to monitor aurora clusters and the monitoring features provided by the platform. This topic also covers Aurora Serverless, Performance Insights, Database Activity Streams, cloning, patching and upgrades.

12:30

Lunch

30 min

Enjoy your meal!

13:00

Lab - Clone an Aurora DB cluster and observe the divergence of the data and performance impact (PostgreSQL)

45 min

Clone an Aurora PostgreSQL cluster and verify the data divergence. Use pgbench workload to test the performance impact of cloning.

13:45

Lab - Use Performance Insights (PostgreSQL)

30 min

Examine the performance of your DB instances using RDS Performance Insights

14:15

HA/DR with Amazon Aurora (MySQL & PostgreSQL)

45 min

Learn about the high availability capabilities of Aurora, how failure recovery works, backup and DR options, and connection management best practices. Additionally this topic covers Cluster Cache Management, Aurora Global Database, and RDS Proxy

15:00

Break

15 min

Take a minute to relax...

15:15

Lab - Test Fault Tolerance (PostgreSQL)

45 min

Test the high availability and fault tolerance features provided by Amazon Aurora. Use RDS Proxy to minimize failover disruptions.

16:00

Performance Features and Optimization (MySQL & PostgreSQL)

30 min

Learn about the performance capabilities of the platform and the performance features and optimizations that AWS has built into Amazon Aurora that are unique to the platform, and do not exist in the open source engines.

16:30

Lab - Explore Aurora's query plan management feature for plan stability (PostgreSQL)

45 min

Learn QPM feature including plan capture, plan adaptability and plan management in Aurora PostgreSQL.

17:15

Conclusion & Next Steps

15 min

Here are some resources for you until next time...

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