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Before implementing or modifying algorithms, carefully evaluate data structure properties and operation costs. Always:

1. Understand data structure guarantees: Choose structures that provide the necessary ordering and performance characteristics. For instance, when replacing one structure with another, be aware of their different behaviors:

// Problematic: PriorityBlockingQueue doesn't guarantee ordering for equal priorities
private final PriorityBlockingQueue<ShutdownTask> shutdownTasks = new PriorityBlockingQueue<>();

// Better: If order matters for equal priorities, use a secondary comparison key
private final PriorityBlockingQueue<ShutdownTask> shutdownTasks = 
    new PriorityBlockingQueue<>(11, Comparator
        .comparing(ShutdownTask::getPriority)
        .thenComparing(ShutdownTask::getCreationOrder));

1. Avoid unnecessary computations: Eliminate redundant operations by:
   • Deriving one data structure from another when they contain inverse or related data
   • Leveraging existing ordering instead of re-sorting collections
   • Using the most efficient implementation for your specific case (e.g., specific List.of() implementations)
2. Choose appropriate algorithms: Select the right algorithm for specific operations like version comparison, ensuring it handles edge cases correctly:

// Better performance and correctness for version comparisons
new ComparableVersion("2.10.0.CR1").compareTo(new ComparableVersion(version))

These optimizations improve both performance and correctness of your code while keeping it maintainable.