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Database Services
on AWS
Ivan Salazar
Enterprise Solutions Architect, AWS
ivansal@amazon.com
Experience Day, Guadalajara
Agenda
• Amazon Relational Database Service (RDS)
• AWS Database Migration Service
• Amazon ElastiCache
• Amazon Redshift
• Amazon DynamoDB
Amazon Relational Database Service
• Managed service for MySQL, Oracle, Microsoft SQL
Server, PostgreSQL, and Amazon Aurora
• Handles time-consuming database management tasks,
such as backups, patch management, and replication
• MySQL, PostgreSQL, and Amazon Aurora support one
or more read replicas
• Works with existing code, applications, and tools
No infrastructure
management
Scale up/down
Cost-effective
Instant provisioning
Application
compatibility
Amazon RDS Benefits
Amazon RDS engines
Commercial Open source Amazon Aurora
backup & recovery,
data load & unload
performance tuning
25%40%
5% 5%
scripting & coding
security
planning
install, upgrade,
patch and migrate
documentation,
licensing & training
Why Managed Databases?
If You Host Your Databases On-premises
Power, HVAC, net
Rack & stack
Server maintenance
OS patches
DB s/w patches
Database backups
Scaling
High availability
DB s/w installs
OS installation
you
App optimization
Power, HVAC, net
Rack & stack
Server maintenance
OS patches
DB s/w patches
Database backups
Scaling
High availability
DB s/w installs
OS installation
you
App optimization
If You Host Your Databases On-premises
If You Host Your Databases in EC2
Power, HVAC, net
Rack & stack
Server maintenance
OS patches
DB s/w patches
Database backups
Scaling
High availability
DB s/w installs
OS installation
you
App optimization
OS patches
DB s/w patches
Database backups
Scaling
High availability
DB s/w installs
you
App optimization
Power, HVAC, net
Rack & stack
Server maintenance
OS installation
If You Host Your Databases in EC2
If You Choose a Managed Database Service
Power, HVAC, net
Rack & stack
Server maintenance
OS patches
DB s/w patches
Database backups
App optimization
High availability
DB s/w installs
OS installation
you
Scaling
Amazon RDS Multi-AZ
Amazon RDS for Aurora
• Amazon Aurora is a MySQL-compatible
relational database engine
– The speed and availability of high-end commercial databases
– The simplicity and cost-effectiveness of open source databases
• Up to five times better performance than MySQL
• At a price point 1/10 of a commercial database
• Amazon RDS for Aurora provides administration
for Aurora by handling routine database tasks
Demo
Details: Amazon RDS for Aurora
• Key Features
– Designed for compatibility with MySQL 5.6.10
– Auto-scaling storage, so no need to pre-allocate
– Data is transparently replicated 6 ways among 3 Availability Zones
– Add up to 15 Replicas
• Single-digit millisecond replica lag times
• Replicas are also Multi-AZ failover candidates
– Encryption at rest and in transit
ü Move data to the same or different database engine
ü Keep your apps running during the migration
ü Start your first migration in 10 minutes or less
ü Replicate within, to, or from Amazon EC2 or RDS
AWS Database
Migration Service
Migrate from Oracle and SQL Server
Move your tables, views, stored procedures,
and data manipulation language (DML) to
MySQL, MariaDB, and Amazon Aurora
Highlight where manual edits are needed
AWS Schema
Conversion Tool
Amazon ElastiCache
• In-memory managed cache cluster
• Supports two open-source caching engines:
Memcached and Redis
• Automatically detects and replaces failed nodes
• Redis engine supports replication and Multi-AZs
• Great fit for read-heavy applications and often deployed
in front of Amazon RDS
Amazon Redshift
• Fast, fully managed, petabyte-scale relational data
warehouse solution
• Columnar storage technology to improve I/O and
parallelizing queries across multiple nodes (SSD & HDD)
• Uses familiar SQL-based clients and business intelligence
(BI) tools using standard JDBC and ODBC drivers
• Costs less than a tenth of most other cloud data
warehouse solutions: $1,000/TB/Year; starts at $0.25/hour
Amazon Redshift architecture
Leader Node
Simple SQL end point
Stores metadata
Optimizes query plan
Coordinates query execution
Compute Nodes
Local columnar storage
Parallel/distributed execution of all queries, loads,
backups, restores, resizes
Start at just $0.25/hour, grow to 2 PB (compressed)
DC1: SSD; scale from 160 GB to 326 TB
DS2: HDD; scale from 2 TB to 2 PB
Ingestion/Backup
Backup
Restore
JDBC/ODBC
10 GigE
(HPC)
Large ecosystem
Data Integration Systems IntegratorsBusiness Intelligence
Service oriented architecture
DynamoDB
EMR
S3
EC2/SSH
RDS/Aurora
Amazon
Redshift
Amazon Kinesis
Machine
Learning
Data Pipeline
CloudSearch
Mobile
Analytics
Amazon DynamoDB
• Fast and flexible NoSQL database service
• Provides a schema-less, no joins, no complex
transactions managed database
• Single-digit millisecond latency at any scale for items
ranging from 1byte to 400KB
• Great fit for mobile, web, games, ad-tech, IoT, and many
other applications
Demo
Why NoSQL?
Optimized for storage Optimized for compute
Normalized/relational Denormalized/hierarchical
Ad hoc queries Instantiated views
Scale vertically Scale horizontally
Good for OLAP Built for OLTP at scale
SQL NoSQL
Amazon DynamoDB
Document or Key-Value Scales to Any WorkloadFully Managed NoSQL
Access Control Event Driven ProgrammingFast and Consistent
AWS offers a complete set of database services
Your apps Amazon RDS
Managed SQL
AWS offers a complete set of database services
Your apps
Amazon
DynamoDB
Managed NoSQL
Amazon RDS
Managed SQL
AWS offers a complete set of database services
Your apps
Amazon
DynamoDB
Managed NoSQL
Amazon RDS
Managed SQL
Amazon ElastiCache
Managed in-memory caching
AWS offers a complete set of database services
Your apps
Amazon
DynamoDB
Managed NoSQL
Amazon RDS
Managed SQL
Amazon ElastiCache
Managed in-memory caching
Amazon Redshift
Managed data warehouse
Your BI tools
GRACIAS!

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AWS Database Services for Any Workload

  • 1. Database Services on AWS Ivan Salazar Enterprise Solutions Architect, AWS ivansal@amazon.com Experience Day, Guadalajara
  • 2. Agenda • Amazon Relational Database Service (RDS) • AWS Database Migration Service • Amazon ElastiCache • Amazon Redshift • Amazon DynamoDB
  • 3. Amazon Relational Database Service • Managed service for MySQL, Oracle, Microsoft SQL Server, PostgreSQL, and Amazon Aurora • Handles time-consuming database management tasks, such as backups, patch management, and replication • MySQL, PostgreSQL, and Amazon Aurora support one or more read replicas • Works with existing code, applications, and tools
  • 4. No infrastructure management Scale up/down Cost-effective Instant provisioning Application compatibility Amazon RDS Benefits
  • 5. Amazon RDS engines Commercial Open source Amazon Aurora
  • 6. backup & recovery, data load & unload performance tuning 25%40% 5% 5% scripting & coding security planning install, upgrade, patch and migrate documentation, licensing & training Why Managed Databases?
  • 7. If You Host Your Databases On-premises Power, HVAC, net Rack & stack Server maintenance OS patches DB s/w patches Database backups Scaling High availability DB s/w installs OS installation you App optimization
  • 8. Power, HVAC, net Rack & stack Server maintenance OS patches DB s/w patches Database backups Scaling High availability DB s/w installs OS installation you App optimization If You Host Your Databases On-premises
  • 9. If You Host Your Databases in EC2 Power, HVAC, net Rack & stack Server maintenance OS patches DB s/w patches Database backups Scaling High availability DB s/w installs OS installation you App optimization
  • 10. OS patches DB s/w patches Database backups Scaling High availability DB s/w installs you App optimization Power, HVAC, net Rack & stack Server maintenance OS installation If You Host Your Databases in EC2
  • 11. If You Choose a Managed Database Service Power, HVAC, net Rack & stack Server maintenance OS patches DB s/w patches Database backups App optimization High availability DB s/w installs OS installation you Scaling
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  • 17. Amazon RDS for Aurora • Amazon Aurora is a MySQL-compatible relational database engine – The speed and availability of high-end commercial databases – The simplicity and cost-effectiveness of open source databases • Up to five times better performance than MySQL • At a price point 1/10 of a commercial database • Amazon RDS for Aurora provides administration for Aurora by handling routine database tasks
  • 18. Demo
  • 19. Details: Amazon RDS for Aurora • Key Features – Designed for compatibility with MySQL 5.6.10 – Auto-scaling storage, so no need to pre-allocate – Data is transparently replicated 6 ways among 3 Availability Zones – Add up to 15 Replicas • Single-digit millisecond replica lag times • Replicas are also Multi-AZ failover candidates – Encryption at rest and in transit
  • 20. ü Move data to the same or different database engine ü Keep your apps running during the migration ü Start your first migration in 10 minutes or less ü Replicate within, to, or from Amazon EC2 or RDS AWS Database Migration Service
  • 21. Migrate from Oracle and SQL Server Move your tables, views, stored procedures, and data manipulation language (DML) to MySQL, MariaDB, and Amazon Aurora Highlight where manual edits are needed AWS Schema Conversion Tool
  • 22. Amazon ElastiCache • In-memory managed cache cluster • Supports two open-source caching engines: Memcached and Redis • Automatically detects and replaces failed nodes • Redis engine supports replication and Multi-AZs • Great fit for read-heavy applications and often deployed in front of Amazon RDS
  • 23. Amazon Redshift • Fast, fully managed, petabyte-scale relational data warehouse solution • Columnar storage technology to improve I/O and parallelizing queries across multiple nodes (SSD & HDD) • Uses familiar SQL-based clients and business intelligence (BI) tools using standard JDBC and ODBC drivers • Costs less than a tenth of most other cloud data warehouse solutions: $1,000/TB/Year; starts at $0.25/hour
  • 24. Amazon Redshift architecture Leader Node Simple SQL end point Stores metadata Optimizes query plan Coordinates query execution Compute Nodes Local columnar storage Parallel/distributed execution of all queries, loads, backups, restores, resizes Start at just $0.25/hour, grow to 2 PB (compressed) DC1: SSD; scale from 160 GB to 326 TB DS2: HDD; scale from 2 TB to 2 PB Ingestion/Backup Backup Restore JDBC/ODBC 10 GigE (HPC)
  • 25. Large ecosystem Data Integration Systems IntegratorsBusiness Intelligence
  • 26. Service oriented architecture DynamoDB EMR S3 EC2/SSH RDS/Aurora Amazon Redshift Amazon Kinesis Machine Learning Data Pipeline CloudSearch Mobile Analytics
  • 27. Amazon DynamoDB • Fast and flexible NoSQL database service • Provides a schema-less, no joins, no complex transactions managed database • Single-digit millisecond latency at any scale for items ranging from 1byte to 400KB • Great fit for mobile, web, games, ad-tech, IoT, and many other applications
  • 28. Demo
  • 29. Why NoSQL? Optimized for storage Optimized for compute Normalized/relational Denormalized/hierarchical Ad hoc queries Instantiated views Scale vertically Scale horizontally Good for OLAP Built for OLTP at scale SQL NoSQL
  • 30. Amazon DynamoDB Document or Key-Value Scales to Any WorkloadFully Managed NoSQL Access Control Event Driven ProgrammingFast and Consistent
  • 31. AWS offers a complete set of database services Your apps Amazon RDS Managed SQL
  • 32. AWS offers a complete set of database services Your apps Amazon DynamoDB Managed NoSQL Amazon RDS Managed SQL
  • 33. AWS offers a complete set of database services Your apps Amazon DynamoDB Managed NoSQL Amazon RDS Managed SQL Amazon ElastiCache Managed in-memory caching
  • 34. AWS offers a complete set of database services Your apps Amazon DynamoDB Managed NoSQL Amazon RDS Managed SQL Amazon ElastiCache Managed in-memory caching Amazon Redshift Managed data warehouse Your BI tools