AWS ofrece una gran variedad de servicios de base de datos que se adaptan a los requisitos de su aplicación. Los servicios de bases de datos están totalmente administrados y se pueden implementar en cuestión de minutos con tan solo unos clics. Los servicios de AWS incluyen Amazon Relational Database Service (Amazon RDS), compatible con 6 motores de bases de datos comunes, Amazon Aurora, base de datos relacional compatible con MySQL con un desempeño 5 veces superior, Amazon DynamoDB, servicio de bases de datos NoSQL rápido y flexible, Amazon Redshift, almacén de datos a escala de petabytes, y Amazon Elasticache, servicio de caché en memoria compatible con Memcached y Redis. AWS también proporciona AWS Database Migration Service, un servicio que permite migrar las bases de datos a la nube de AWS de forma sencilla y rentable.

1. Experience Day, Medellín
Database Services

2. Agenda
• Amazon Relational Database Service (RDS)
• Amazon DynamoDB
• Amazon ElastiCache
• Amazon Redshift

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. 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

5. 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

6. Amazon Redshift
• Fast, fully managed, petabyte-scale data warehouse
solution
• Columnar storage technology to improve I/O and
parallelizing queries across multiple nodes
• 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

7. Thank You