What are best practices for working with object allocation and TLABs?

When working with object allocation in Java, especially in the context of TLABs (Thread-Local Allocation Buffers), adhering to best practices can significantly enhance performance and minimize garbage collection overhead. TLABs help reduce contention among threads during object allocation by allowing each thread to allocate memory in its own buffer. Here are some best practices to consider:

• Minimize Object Creation: Try to reuse objects when possible to lessen the frequency of allocations.
• Use Primitive Types: Whenever feasible, use primitive data types instead of wrappers to avoid unnecessary object creation.
• Batch Allocations: If many objects of the same type are needed, allocate them in a batch rather than individually to take advantage of TLABs effectively.
• Reduce Object Size: Smaller objects can fit more easily into TLABs, leading to fewer memory allocations and improved performance.
• Profile Your Memory Usage: Use profiling tools to monitor memory allocation and garbage collection, adjusting your code based on observed behavior.