Deep Dive on Amazon Aurora

Amazon Aurora is a fully managed relational database service that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. With Aurora, we've completely reimagined how databases are built for the cloud, providing you higher performance, availability, and durability than previously possible. We'll dive deep into architectural details of Amazon Aurora with MySQL and PostgreSQL compatibility and review recent innovations such as Parallel Query, Backtrack, Serverless, and Multi-Master, along with best practices for utilizing the power of relational databases at cloud scale.

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About the Author

Kevin Jernigan

Kevin Jernigan is a Principal Product Manager in the Amazon RDS team, responsible for product management for Amazon Aurora PostgreSQL. He started his career at Oracle in 1987, as a product manager responsible for Oracle Database benchmarks, utilities, and Oracle Parallel Server, now called Oracle Real Application Clusters (RAC). In 1994, he co-founded Emergent Technologies, a technology consulting company that specialized in high-end DW and OLTP database implementations. After selling Emergent in 1999, he co-founded Xpiron in 2000, which provided online booking management services to health & fitness clubs. Kevin returned to Oracle in 2009, as a product manager responsible for more than twenty Oracle Database features related to performance and storage management, including Advanced Compression, Database In-Memory, Hybrid Columnar Compression, and Information Lifecycle Management (ILM). He joined AWS in January 2016.