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Exploring High Availability Using RDS for SQL Server Always On - AWS Online Tech Talks
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Amazon Relational Database Service (Amazon RDS) is a fully managed database service that allows you to launch an optimally configured, secure, and highly available database with just a few clicks. With Amazon RDS, you can deploy multiple editions of SQL Server Database in minutes with cost-efficient and re-sizable hardware capacity. Join this tech talk to learn how to use High Availability (HA) and Disaster Recovery (DR) features to meet recovery point objective (RPO) and recovery time objective (RTO) for your mission critical SQL Server databases on Amazon RDS.
Learning Objectives:
*Understand how RDS for SQL Server implements High Availability across multiple data centers
*Understand the failover process and recovery time in high availability failover scenarios
*Understand how to implement and achieve disaster recovery with RDS for SQL Server
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☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.
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Learning Objectives:
*Understand how RDS for SQL Server implements High Availability across multiple data centers
*Understand the failover process and recovery time in high availability failover scenarios
*Understand how to implement and achieve disaster recovery with RDS for SQL Server
Follow Amazon Web Services:
☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.
#AWS
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