Intro to Open Source Databases on AWS - AWS Online Tech Talks
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"Learning Objectives: - Learn the benefits of building apps on AWS with open source databases like MySQL, PostgreSQL, Redis, and Memcached - See how AWS database services provide the simplicity and cost-effectiveness of open source while automating time-consuming administrative tasks - Get an inside look at how Amazon Aurora, a cloud-native database service, enhances open source MySQL and PostgreSQL with enterprise performance and availability"
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Intro to Open Source Databases on AWS - AWS Online Tech Talks
- 1. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Jignesh Shah, Senior Product Manager, Amazon RDS April 25, 2018 Intro to Open Source Databases on AWS
- 2. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Why open source databases? Simple, cost-effective Community support built in Portability, ease of migration
- 3. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Open source databases: SQL and NoSQL Non-relational (document, key-value, caching, etc.) Relational (SQL-based)
- 4. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. MySQL Ease of use Triggers, stored procedures, updatable views Many available utilities Secure Host-based verification and encryption of password traffic InnoDB offers data-at-rest tablespace encryption Broad language support Python, Java, .NET, Node.js, C/C++, Perl, PHP,Tcl, Ruby,ODBC, Erlang, Objective-C, more Reliable InnoDB transactional storage engine adheres toACID model InnoDB offers data integrity through foreign key constraints Performance Triggers, stored procedures, updatable views
- 5. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. MariaDB MySQL family Founded by the original developers of MySQL High degree of MySQL compatibility Secure Access control, key management services, authentication TLS/SSL and native encryption SQL and JSON support Includes common table expressions and window functions for SQL, as well as Version 10.2 introduces 24 functions for reading and writing of JSON documents OLTP and OLAP use Extensible architecture integrates with a number of storage engines for a wide variety of transactional and analytic use cases
- 6. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. PostgreSQL Robust feature sets and extensions Multi-Version Concurrency Control (MVCC), point in time recovery, granular access controls, tablespaces, asynchronous replication, nested transactions, online/hot backups, a refined query planner/optimizer, and write ahead logging Supports international character sets, multi-byte character encodings, Unicode, and it is locale-aware for sorting, case-sensitivity, and formatting Reliable High fault tolerance,ACID compliance, and full support for foreign keys, joins, views, triggers, and stored procedures Standards-compliant Includes most SQL:2008 data types, including INTEGER, NUMERIC, BOOLEAN, CHAR,VARCHAR, DATE, INTERVAL, andTIMESTAMP. Supports storage of binary large objects, including pictures, sounds, or video
- 7. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Open source databases on AWS
- 8. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. AWS Database Services DynamoDB ElastiCache Neptune Key value | Document Graph Non-relational Database Migration Service Relational Aurora RDS
- 9. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Self-manage on EC2 Run open source and open source-compatible databases on AWS AWS managed DB services RDS for MySQL, MariaDB, and PostgreSQL Aurora with MySQL and PostgreSQL-compatibility
- 10. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Choosing your AWS DB Deployment Strategy Self-managed on application server Self-managed on database server AWS-managed open source engines AWS-managed cloud native engine Control Automation EC2 RDS for MySQL, MariaDB, PostgreSQL Aurora with MySQL and PostgreSQL- compatibility
- 11. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon RDS Managed relational database service with a choice of popular database engines No need to provision infrastructure, install, and maintain DB software Scale DB compute and storage with a few clicks; minimal downtime for your application Automatic Multi-AZ data replication; automated backup, snapshots, and failover SSD storage and guaranteed provisioned I/O; data encryption at rest and in transit
- 12. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. RDS Open Source Community Engines MySQL 5.7 MySQL 5.6 MySQL 5.5 MariaDB 10.2 MariaDB 10.1 MariaDB 10.0 PostgreSQL 10.0 PostgreSQL 9.6 PostgreSQL 9.5 PostgreSQL 9.4 PostgreSQL 9.3
- 13. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Aurora Engine High Performance Compatibility with MySQL 5.6, 5.7 High Performance Compatibility with PostgreSQL 9.6
- 14. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Support for MySQL Community Edition versions 5.5, 5.6, and 5.7 InnoDB and MyISAM storage engines Version 5.7—new features • JSON support • Query optimizer improvements • GIS extensions • Improved parallel replication • Dynamic buffer pool resizing Version 8.0 coming soon Amazon RDS for MySQL
- 15. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Support for versions 10.0,10.1, and 10.2 Same instance, regions, pricing as RDS for MySQL (including free tier) Differences from RDS MySQL • Thread Pooling • GTID for Replication Version 10.2—new features • Window Functions • Spatial Indexes • JSON Functions • Common Table Expressions Amazon RDS for MariaDB
- 16. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Support for multiple major versions of PostgreSQL 10, 9.6, 9.5 and 9.4 Supports 50+ PostgreSQL Extensions including PostGIS, pg_repack, etc Version 10 —new features • Native Partitioning Syntax Support • Improved Parallelism in queries • Multi-Column statistics • ICU Library • Pg_stat_activity improvements • Crash-safe, faster, and replicated hash indexes Support for in-built Logical replication coming soon in Amazon RDS for PostgreSQL Amazon RDS for PostgreSQL
- 17. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon RDS for Open Source Engines
- 18. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Automated backups Point-in-time recovery for your DB instance • Scheduled daily volume backup of entire instance • Archive database change logs • 35–day maximum retention • Minimal impact on database performance • Taken from standby when running Multi-AZ Every day during your backup window, RDS creates a storage volume snapshot of your instance Every five minutes, RDS backs up the transaction logs of your database
- 19. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Scale compute and storage with ease Scale compute to handle increased load • Up to 64 vCPU and 488 GiB of RAM Scale storage for larger data sets • Scalable EBS storage up to 16TB • No downtime for storage scaling Scale down to control costs • As little as 1vCPU / 1 GiB of RAM
- 20. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Multi-AZ deployments Enterprise-grade high availability Fault tolerance across multiple data centers • Automatic failover • Synchronous replication • Enabled with one click Availability Zone A Availability Zone B Application servers Database failure Standby Primary New standby
- 21. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Read Replicas Read scaling and disaster recovery RDS for MySQL, PostgreSQL, MariaDB • Relieve pressure on your master node with additional read capacity • Bring data close to your applications in different regions • Promote a read replica to a master for faster recovery in the event of disaster Asynchronous replication BI/reporting application server Read only Read/write Primary Read replica
- 22. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Aurora: Distributed Log Structured Storage Master Replica Replica Replica Availability Zone 1 Shared StorageVolume –Transaction Aware Primary Database Node Read Replica / Secondary Node Read Replica / Secondary Node Read Replica / Secondary Node Availability Zone 2 Availability Zone 3 AWS Region Storage Monitoring Database and Instance Monitoring
- 23. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. • Performance improvements • Over standard open source engines • Features • Survivable cache • Reader endpoint • Fast Database Cloning • Zero Downtime Patching • Deeper integration with Lambda support • Aurora Serverless • and many more Aurora with MySQL or PostgreSQL compatibilities
- 24. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. • Network isolation via Virtual Private Cloud (VPC) • Security groups act as a virtual firewall to control inbound and outbound traffic • Identity and Access Management (IAM) based resource-level role permission controls • Encryption at rest using AWS KMS or Oracle/Microsoft TDE • SSL protection for data in transit • Assurance programs for finance, healthcare, government, and more • HIPAA eligibility under a Business Associate Agreement (BAA) with AWS Security and compliance
- 25. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Compliance • SOC 1, 2, 3 • ISO 27001/9001 • ISO 27017/27018 • PCI • FedRAMP (MySQL) • HIPAA BAA Aurora • SOC 1, 2, 3 • ISO 27001/9001 • ISO 27017/27018 • PCI • FedRAMP • HIPAA BAA • UK Gov. Programs • Singapore MTCS MySQL • SOC 1, 2, 3 • ISO 27001/9001 • ISO 27017/27018 • PCI • FedRAMP • HIPAA BAA • UK Gov. Programs • Singapore MTCS Oracle • SOC 1, 2, 3 • ISO 27001/9001 • ISO 27017/27018 • PCI • HIPAA BAA MariaDB • SOC 1, 2, 3 • ISO 27001/9001 • ISO 27017/27018 • PCI • FedRAMP • HIPAA BAA • UK Gov. Programs • Singapore MTCS PostgreSQL • SOC 1, 2, 3 • ISO 27001/9001 • ISO 27017/27018 • PCI • HIPAA BAA • UK Gov. Programs • Singapore MTCS SQL Server Singapore MTCS 27001/9001 27017/27018
- 26. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Monitoring your RDS DB instance Amazon CloudWatch metrics & alarms Upload DB logs directly toCloudWatch Logs • RDS for MySQL/MariaDB Enhanced Monitoring forAmazon RDS • Access to over 50 CPU, memory, file system, and disk I/O metrics • As low as 1 second intervals Integration with third-party monitoring tools
- 27. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Simplify monitoring with Performance Insights • DB load: average active sessions • Identifies database bottlenecks • Easy • Powerful • Top SQL/most intensive queries • Identifies source of bottlenecks • Enables problem discovery • Adjustable timeframe • Hour, day, week, and longer • Available now for Aurora PostgreSQL • Coming soon for all RDS engines
- 28. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Hundreds of thousands of customers use Amazon RDS
- 29. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. aws.amazon.com/databases aws.amazon.com/rds Learn more
- 30. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Thank you!
Notas del editor
- Self Managed: Full control over parameters of server, OS, and database Remote access to host via remote shell Customer can install 3rd party applications and extensions Customer has full responsibility for upgrades and backups Customer has full responsibility for security High Availability, Disaster Recovery and read scaling are expensive, complex, require a lot of engineering Managed Service: Database is a managed appliance, so customers can easily automate, clone and scale No host access—all configurations through AWS APIs Limited to managed extensions and tools OS and DB upgrades, data backup and restore are provided as a service High infrastructure security, encryption, certifications, tools to ensure DB security High Availability, Disaster Recovery, and read scaling are managed service with a button click or API call
- Historically, relational databases have been on premises, and as customers moved to the cloud, they initially leveraged EC2 to run their own databases. With this approach, customers still had to deal with all of the usual pains that accompany an on-premises database such as hardware provisioning, database setup, tuning, patching, backups and scaling. In 2009 we launched our 1st managed relational database service (RDS) for MySQL. MySQL was already the most popular open source database and RDS made it easier to setup and use. At a click of a mouse, customers could have a MySQL database set up and ready in minutes. As customers started to use the RDS MySQL service, requests came in from other users that were using on-premises databases. We created RDS for Oracle in 2011, RDS for SQL Server in 2012, RDS for Postgres in 2013 and RDS for MariaDB in 2015. Add these services to our own Amazon Aurora, which we designed for the cloud from the ground up and you have the broadest selection of fully managed cloud databases available. Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. It frees you to focus on your applications so you can give them the fast performance, high availability, security and compatibility they need. Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides you with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server. You can use the AWS Database Migration Service to easily migrate or replicate your existing databases to Amazon RDS. Easy to Administer Amazon RDS makes it easy to go from project conception to deployment. Use the AWS Management Console, the AWS RDS Command-Line Interface, or simple API calls to access the capabilities of a production-ready relational database in minutes. No need for infrastructure provisioning, and no need for installing and maintaining database software. Highly Scalable You can scale your database's compute and storage resources with only a few mouse clicks or an API call, often with no downtime. Many Amazon RDS engine types allow you to launch one or more Read Replicas to offload read traffic from your primary database instance. Available and Durable Amazon RDS runs on the same highly reliable infrastructure used by other Amazon Web Services. When you provision a Multi-AZ DB Instance, Amazon RDS synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Amazon RDS has many other features that enhance reliability for critical production databases, including automated backups, database snapshots, and automatic host replacement. Fast Amazon RDS supports the most demanding database applications. You can choose between two SSD-backed storage options: one optimized for high-performance OLTP applications, and the other for cost-effective general-purpose use. In addition, Amazon Aurora provides performance on par with commercial databases at 1/10th the cost. Secure Amazon RDS makes it easy to control network access to your database. Amazon RDS also lets you run your database instances in Amazon Virtual Private Cloud (Amazon VPC), which enables you to isolate your database instances and to connect to your existing IT infrastructure through an industry-standard encrypted IPsec VPN. Many Amazon RDS engine types offer encryption at rest and encryption in transit.
- We support various major and minor version of Open Source databases. Our typical support for Major Version is 3 years and for minor version is 1 year unless it is deprecated by a security issue by a later version.
- It is compatible Open Source engines but has changes for higher performance and leverage the Aurora Storage subsystem.
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