AcademyCloudFoundations_Module_08 (1).pptx
- 1. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS Academy Cloud Foundations Module 8: Databases
- 2. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 2 Module overview Topics • Amazon Relational Database Service (Amazon RDS) • Amazon DynamoDB • Amazon Redshift • Amazon Aurora Demos • Amazon RDS console • Amazon DynamoDB console Lab • Lab 5: Build Your DB Server and Interact with Your DB Using an App Activity • Database case studies Knowledge check
- 3. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 3 Module objectives After completing this module, you should be able to: • Explain Amazon Relational Database Service (Amazon RDS) • Identify the functionality in Amazon RDS • Explain Amazon DynamoDB • Identify the functionality in Amazon DynamoDB • Explain Amazon Redshift • Explain Amazon Aurora • Perform tasks in an RDS database, such as launching, configuring, and interacting
- 4. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. Module 8: Databases Section 1: Amazon Relational Database Service
- 5. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 5 Amazon Relational Database Service Amazon Relational Database Service (Amazon RDS)
- 6. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 6 Unmanaged versus managed services Unmanaged: Scaling, fault tolerance, and availability are managed by you. Managed: Scaling, fault tolerance, and availability are typically built into the service.
- 7. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 7 Challenges of relational databases • Server maintenance and energy footprint • Software installation and patches • Database backups and high availability • Limits on scalability • Data security • Operating system (OS) installation and patches
- 8. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 8 Amazon RDS Managed service that sets up and operates a relational database in the cloud. Users Application Servers Amazon RDS AWS Cloud
- 9. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 9 From on-premises databases to Amazon RDS On-premises database Application optimization Scaling High Availability Database backups Database software patches Database software installs Operation system patches Operating system install Server maintenance Rack and stack servers Power, HVAC, network Database in Amazon Elastic Compute Cloud (Amazon EC2) AWS provides Application optimization Scaling High Availability Database backups Database software patches Database software installs Operation system patches Operating system install Server maintenance Rack and stack servers Power, HVAC, network Database in Amazon RDS or Amazon Aurora AWS provides Application optimization Scaling High Availability Database backups Database software patches Database software installs Operation system patches Operating system install Server maintenance Rack and stack servers Power, HVAC, network
- 10. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 10 Managed services responsibilities You manage: • Application optimization AWS manages: • OS installation and patches • Database software installation and patches • Database backups • High availability • Scaling • Power and racking and stacking servers • Server maintenance Amazon RDS
- 11. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 11 Amazon RDS DB instances Amazon RDS M Amazon RDS DB main instance DB Instance Class • CPU • Memory • Network performance DB Instance Storage • Magnetic • General Purpose (solid state drive, or SSD) • Provisioned IOPS = DB engines MySQL Amazon Aurora Microsoft SQL Server PostgreSQL MariaDB Oracle
- 12. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 12 Amazon RDS in a virtual private cloud (VPC) Public subnet Private subnet Users Internet gateway Availability Zone Amazon RDS Amazon EC2 VPC AWS Cloud
- 13. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 13 High availability with Multi-AZ deployment (1 of 2) Public subnet Private subnet Private subnet Availability Zone 1 Amazon EC2 Availability Zone 2 Amazon RDS instance RDS Standby instance Synchronous Application M S AWS Cloud VPC
- 14. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 14 High availability with Multi-AZ deployment (2 of 2) Public subnet Private subnet Private subnet Availability Zone 1 Amazon EC2 Availability Zone 2 Amazon RDS instance RDS Standby instance Synchronous Application M S AWS Cloud VPC
- 15. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 15 Amazon RDS read replicas Features • Offers asynchronous replication • Can be promoted to primary if needed Functionality • Use for read-heavy database workloads • Offload read queries Private subnet Public subnet Availability Zone Amazon EC2 Application Amazon RDS primary instance P R Read replica instance AWS Cloud VPC
- 16. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 16 Use cases Web and mobile applications High throughput Massive storage scalability High availability Ecommerce applications Low-cost database Data security Fully managed solution Mobile and online games Rapidly grow capacity Automatic scaling Database monitoring
- 17. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 17 When to Use Amazon RDS Use Amazon RDS when your application requires: • Complex transactions or complex queries • A medium to high query or write rate – Up to 30,000 IOPS (15,000 reads + 15,000 writes) • No more than a single worker node or shard • High durability • Do not use Amazon RDS when your application requires: • Massive read/write rates (for example, 150,000 write/second) • Sharding due to high data size or throughput demands • Simple GET or PUT requests and queries that a NoSQL database can handle • Relational database management system (RDBMS) customization
- 18. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 18 Amazon RDS: Clock-hour billing and database characteristics Clock-hour billing – • Resources incur charges when running Database characteristics – • Physical capacity of database: • Engine • Size • Memory class
- 19. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 19 Amazon RDS: DB purchase type and multiple DB instances DB purchase type – • On-Demand Instances • Compute capacity by the hour • Reserved Instances • Low, one-time, upfront payment for database instances that are reserved with a 1-year or 3-year term Number of DB instances – • Provision multiple DB instances to handle peak loads
- 20. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 20 Amazon RDS: Storage Provisioned storage – • No charge • Backup storage of up to 100 percent of database storage for an active database • Charge (GB/month) • Backup storage for terminated DB instances Additional storage – • Charge (GB/month) • Backup storage in addition to provisioned storage
- 21. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 21 Amazon RDS: Deployment type and data transfer Requests – • The number of input and output requests that are made to the database Deployment type—Storage and I/0 charges vary, depending on whether you deploy to – • Single Availability Zone • Multiple Availability Zones Data transfer – • No charge for inbound data transfer • Tiered charges for outbound data transfer
- 22. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 22 Recorded demo: Amazon RDS console
- 23. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 23 Build Your DB Server and Interact with Your DB Using an App
- 24. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 24 Lab 5: Scenario This lab is designed to show you how to use an AWS managed database instance to solve a need for a relational database. Public subnet 1: 10.0.0.0/24 Public subnet 2: 10.0.2.0/24 Availability Zone B Internet gateway Internet Availability Zone A Security group NAT gateway Web Server VPC: 10.0.0.0/16 Private subnet 1: 10.0.1.0/24 Private subnet 2: 10.0.3.0/24 AWS Cloud
- 25. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 25 Lab 5: Tasks Create a VPC security group. Create a DB subnet group. Create an Amazon RDS DB instance and interact with your database. Amazon RDS Security group Private subnet
- 26. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 26 Lab 5: Final product Public subnet 1: 10.0.1.0/24 Public subnet 2: 10.0.2.0/24 Availability Zone B Internet gateway Internet Availability Zone A Security group Web Server VPC: 10.0.0.0/16 Private subnet 1: 10.0.3.0/24 Private subnet 2: 10.0.4.0/24 AWS Cloud Security group Security group RDS DB Primary RDS DB Secondary NAT gateway
- 27. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 27 Begin Lab 5: Build your DB server and interact with your DB using an application ~ 30 minutes
- 28. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 28 Lab debrief: key takeaways
- 29. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 29 Section 1 key takeaways • With Amazon RDS, you can set up, operate, and scale relational databases in the cloud. • Features – • Managed service • Accessible via the console, AWS Command Line Interface (AWS CLI), or application programming interface (API) calls • Scalable (compute and storage) • Automated redundancy and backup are available • Supported database engines: • Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, Microsoft SQL Server
- 30. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. Module 8: Databases Section 2: Amazon DynamoDB
- 31. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 31 Relational versus non-relational databases Relational (SQL) Non-Relational Data Storage Rows and columns Key-value, document, graph Schemas Fixed Dynamic Querying Uses SQL Focuses on collection of documents Scalability Vertical Horizontal Example ISBN Title Author Format 3111111223439 Withering Depths Jackson , Mateo Paperback 3122222223439 Wily Willy Wang, Xiulan Ebook { ISBN: 3111111223439, Title: “Withering Depths”, Author: ”Jackson, Mateo”, Format: “Paperback” }
- 32. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 32 What is Amazon DynamoDB? Fast and flexible NoSQL database service for any scale Amazon DynamoDB • NoSQL database tables • Virtually unlimited storage • Items can have differing attributes • Low-latency queries • Scalable read/write throughput
- 33. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 33 Amazon DynamoDB core components • Tables, items, and attributes are the core DynamoDB components • DynamoDB supports two different kinds of primary keys: Partition key and partition and sort key
- 34. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 34 Partitioning
- 35. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 35 Items in a table must have a key
- 36. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 36 Section 2 key takeaways Amazon DynamoDB: • Runs exclusively on SSDs. • Supports document and key-value store models. • Replicates your tables automatically across your choice of AWS Regions. • Works well for mobile, web, gaming, adtech, and Internet of Things (IoT) applications. • Is accessible via the console, the AWS CLI, and API calls. • Provides consistent, single-digit millisecond latency at any scale. • Has no limits on table size or throughput.
- 37. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 37 Recorded demo: Amazon DynamoDB console
- 38. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 38 Amazon DynamoDB demonstration
- 39. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. Module 8: Databases Section 3: Amazon Redshift
- 40. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 40 Amazon Redshift Amazon Redshift
- 41. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 41 Introduction to Amazon Redshift
- 42. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 42 Parallel processing architecture Amazon Redshift Dense compute node • Virtual Core • RAM • Local disk Leader node Dense compute nodes SQL Clients/BI tools Amazon DynamoDB Amazon S3
- 43. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 43 Automation and scaling Manage Monitor Scale
- 44. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 44 Compatibility
- 45. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 45 Amazon Redshift use cases (1 of 2) • Enterprise data warehouse (EDW) • Migrate at a pace that customers are comfortable with • Experiment without large upfront cost or commitment • Respond faster to business needs • Big data • Low price point for small customers • Managed service for ease of deployment and maintenance • Focus more on data and less on database management
- 46. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 46 Amazon Redshift use cases (2 of 2) • Software as a service (SaaS) • Scale the data warehouse capacity as demand grows • Add analytic functionality to applications • Reduce hardware and software costs
- 47. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 47 Section 3 key takeaways Amazon Redshift features: • Fast, fully managed data warehouse service • Easily scale with no downtime • Columnar storage and parallel processing architectures • Automatically and continuously monitors cluster • Encryption is built in
- 48. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. Module 8: Databases Section 4: Amazon Aurora
- 49. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 49 Amazon Aurora Amazon Aurora • Enterprise-class relational database • Compatible with MySQL or PostgreSQL • Automate time-consuming tasks (such as provisioning, patching, backup, recovery, failure detection, and repair).
- 50. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 50 Amazon Aurora service benefits
- 51. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 51 High availability
- 52. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 52 Resilient design
- 53. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 53 Section 4 key takeaways Amazon Aurora features: • High performance and scalability • High availability and durability • Multiple levels of security • Compatible with MySQL and PostgreSQL • Fully managed
- 54. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 54 The right tool for the right job What are my requirements? Enterprise-class relational database Amazon RDS Fast and flexible NoSQL database service for any scale Amazon DynamoDB Operating system access or application features that are not supported by AWS database services Databases on Amazon EC2 Specific case-driven requirements (machine learning, data warehouse, graphs) AWS purpose-built database services
- 55. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 55 Database case study activity (1 of 3) Case 1: A data protection and management company that provides services to enterprises. They must provide database services for over 55 petabytes of data. They have two types of data that require a database solution. First, they need a relational database store for configuration data. Second, they need a store for unstructured metadata to support a de- duplication service. After the data is de-duplicated, it is stored in Amazon S3 for quick retrieval, and eventually moved to Amazon S3 Glacier for long-term storage. The following diagram illustrates their architecture. Corporate data center Configuration database ??? Amazon EC2 Amazon Simple Storage Service (Amazon S3) Amazon Simple Storage Service Glacier ??? Metadata database AWS Cloud
- 56. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 56 Database case study activity (2 of 3) Case 2: A commercial shipping company that uses an on-premises legacy data management system. They must migrate to a serverless ecosystem while they continue to use their existing database system, which is based on Oracle. They are also in the process of decomposing their highly structured relational data into semistructured data. The following diagram illustrates their architecture. ??? Database AWS AppSync AWS Lambda Corporate data center AWS Lambda AWS Lambda Amazon Simple Notification Service (Amazon SNS) Oracle database
- 57. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 57 Database case study activity 3 Case 3: An online payment processing company that processes over1 million transactions per day. They must provide services to ecommerce customers who offer flash sales (sales that offer greatly reduced prices for a limited time), where demand can increase by 30 times in a short time period. They use IAM and AWS KMS to authenticate transactions with financial institutions. They need high throughput for these peak loads. The following diagram illustrates their architecture. ??? Database Elastic Load Balancing Internet AWS Identity and Access Management (IAM) AWS Key Management Service (AWS KMS) Banks Amazon EC2 instances Read replicas AWS Cloud AWS SDK
- 58. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. Module 8: Databases Module wrap-up
- 59. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 59 Module summary In summary, in this module, you learned how to: • Explain Amazon Relational Database Service (Amazon RDS) • Identify the functionality in Amazon RDS • Explain Amazon DynamoDB • Identify the functionality in Amazon DynamoDB • Explain Amazon Redshift • Explain Amazon Aurora • Perform tasks in an RDS database, such as launching, configuring, and interacting
- 60. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 60 Complete the knowledge check
- 61. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 61 Sample exam question Which of the following is a fully-managed NoSQL database service? Choice Response A Amazon Relational Database Service (Amazon RDS) B Amazon DynamoDB C Amazon Aurora D Amazon Redshift
- 62. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 62 Sample exam question answer Which of the following is a fully-managed NoSQL database service? The keywords in the question are “NoSQL database service”. The correct answer is B.
- 63. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 63 Additional resources • AWS Database page: https://aws.amazon.com/products/databases/ • Amazon RDS page: https://aws.amazon.com/rds/ • Overview of Amazon database services: https://docs.aws.amazon.com/whitepapers/latest/aws- overview/database.html • Getting started with AWS databases: https://aws.amazon.com/products/databases/learn/
- 64. © 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. 64 Thank you All trademarks are the property of their owners.