Broadcast Date: October 15, 2018
Managing high availability and performance for relational databases is difficult when your application is query-intensive and deals with high volumes of concurrent traffic, leading to poor user engagement and customer experience. You can use an in-memory data store like Redis to improve availability and reduce the load on your primary relational database, however, a multi-database system can quickly become difficult to manage. AWS database services including Amazon Relational Database Service (RDS) and Amazon ElastiCache make it simpler to add a caching layer to your database, deliver high availability and performance, and leverage popular databases like MySQL and Redis without administrative tasks. Learn how to use Amazon RDS with Amazon ElastiCache by exploring 3 real-world use case architectures.
- Learn how AWS database services, including Amazon RDS and Amazon ElastiCache, can work together to provide high availability and performance for query-intensive workloads and applications
- See use cases demonstrating how ElastiCache for Redis and ElastiCache for Memcached can be used as a query cache for sub-millisecond latency to power the most demanding applications
- Learn how Amazon RDS and Amazon Aurora bring additional resiliency to your application by automating rapid failover, disaster recovery, and other administrative functions
Who Should Attend?
Developers, Architects, DBAs, DevOps roles, anyone managing relational databases for demanding applications
Steve Abraham, Principal DB Specialist, AWS
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