In a distributed system, how can object serialization and deserialization impact performance and data consistency?

Describe the challenges and solutions in implementing pipeline parallelism in distributed computing environments. How can pipelining be used to optimize complex data processing workflows in distributed systems?

What is the operation of distributed data processing? What exactly is it?

How can you avoid man-in-the-middle (MITM) attacks? Phase your response?

Discuss thread-local storage (TLS) and its significance in multithreaded programming. How can TLS be implemented in different programming languages?

You provide a crucial explanation to support your response to the question, "What is the transaction process in distributed architecture?"

Discuss the use of object serialization in distributed computing and the challenges it presents in maintaining data consistency and reliability in distributed environments.

Discuss the principles of lambda architecture and its role in building fault-tolerant and scalable data processing systems.

In what ways does the data locality principle impact software performance in multi-core systems?

In stateless distributed systems, what considerations arise when handling "long-lived transactions" and maintaining data consistency?