Maintaining high availability and planning for disaster recovery are two critical business continuity components in your cloud data journey. Building a robust resiliency strategy lets you minimize workflow and operational interruptions and achieve faster recovery times when your applications experience downtime or adverse events. When defining your applications’ recovery plans and recovery targets, you can choose how to leverage your SQL Server and Silk resources depending on your needs, offering more flexibility and control over your SLAs and cloud costs.
Silk is designed for resiliency and availability, serving as a reliable foundation to build a broader, layered resiliency plan for your applications. Features like replication are configurable based on the high availability and disaster recovery SLAs required for your SQL Server workloads. Our active-active system architecture is purpose-built with no single points of failure, ensuring high fault tolerance and fast disaster recovery. Our range of data management options lets you choose the performance, resiliency, and data access levels you need while maintaining your system’s cost requirements.
In this whitepaper, we review the four base architectures for customizable data management options in Silk.
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