I’m using SQL Server 2019 and have started leveraging In-Memory OLTP to optimize performance for certain high-transaction tables. While this has provided a significant performance boost, I’m encountering issues related to memory pressure, which occasionally affects the overall stability of my server.

Here are some specific aspects of the issue:

1. Memory Configuration: What are the best practices for configuring memory for In-Memory OLTP to avoid memory pressure?
2. Monitoring Tools: What tools and metrics should I use to monitor memory usage by In-Memory OLTP tables effectively?
3. Dynamic Memory Management: How does SQL Server handle dynamic memory allocation for memory-optimized tables, and are there settings to fine-tune this behavior?
4. Performance Tuning: Are there any specific techniques to optimize memory usage for In-Memory OLTP tables without sacrificing too much performance?
5. Fallback Strategies: What are the recommended fallback strategies if memory pressure becomes critical, and how can I implement them without significant downtime?

Any insights, best practices, or resources on efficiently managing memory pressure in this context would be greatly appreciated!