DeepSeek: How to deal with the popular AI that is congested with servers? As a hot AI in 2025, DeepSeek is free and open source and has a performance comparable to the official version of OpenAIo1, which shows its popularity. However, high concurrency also brings the problem of server busyness. This article will analyze the reasons and provide coping strategies. DeepSeek web version entrance: https://www.deepseek.com/DeepSeek server busy reason: High concurrent access: DeepSeek's free and powerful features attract a large number of users to use at the same time, resulting in excessive server load. Cyber ??Attack: It is reported that DeepSeek has an impact on the US financial industry.

Methods for ensuring thread safety of volatile variables in Java: Visibility: Ensure that modifications to volatile variables by one thread are immediately visible to other threads. Atomicity: Ensure that certain operations on volatile variables (such as writing, reading, and comparison exchanges) are indivisible and will not be interrupted by other threads.

Thread-safe memory management in C++ ensures data integrity by ensuring that no data corruption or race conditions occur when multiple threads access shared data simultaneously. Key Takeaway: Implement thread-safe dynamic memory allocation using smart pointers such as std::shared_ptr and std::unique_ptr. Use a mutex (such as std::mutex) to protect shared data from simultaneous access by multiple threads. Practical cases use shared data and multi-thread counters to demonstrate the application of thread-safe memory management.

Pitfalls in Go Language When Designing Distributed Systems Go is a popular language used for developing distributed systems. However, there are some pitfalls to be aware of when using Go, which can undermine the robustness, performance, and correctness of your system. This article will explore some common pitfalls and provide practical examples on how to avoid them. 1. Overuse of concurrency Go is a concurrency language that encourages developers to use goroutines to increase parallelism. However, excessive use of concurrency can lead to system instability because too many goroutines compete for resources and cause context switching overhead. Practical case: Excessive use of concurrency leads to service response delays and resource competition, which manifests as high CPU utilization and high garbage collection overhead.

The implementation methods of thread-safe functions in Java include: locking (Synchronized keyword): Use the synchronized keyword to modify the method to ensure that only one thread executes the method at the same time to prevent data competition. Immutable objects: If the object a function operates on is immutable, it is inherently thread-safe. Atomic operations (Atomic class): Use thread-safe atomic operations provided by atomic classes such as AtomicInteger to operate on basic types, and use the underlying lock mechanism to ensure the atomicity of the operation.

Lock granularity tips for optimizing Go concurrent cache performance: Global lock: Simple implementation, if the lock granularity is too large, unnecessary competition will occur. Key-level locking: The lock granularity is refined to each key, but it will introduce a large number of locks and increase overhead. Shard lock: Divide the cache into multiple shards, each shard has a separate lock, to achieve a balance between concurrency and lock contention.

Two ways to achieve thread safety in Java functions: pessimistic locking: acquire the lock before accessing data to prevent concurrent access by other threads to ensure data consistency. (synchronized keyword) Optimistic locking: Verify data at the end of the transaction and roll back the transaction if the data is modified to improve concurrency. (Atomic class in java.util.concurrent.atomic package)

Unit testing concurrent functions is critical as this helps ensure their correct behavior in a concurrent environment. Fundamental principles such as mutual exclusion, synchronization, and isolation must be considered when testing concurrent functions. Concurrent functions can be unit tested by simulating, testing race conditions, and verifying results.