How can scalability be achieved in sequential processing systems?
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How can scalability be achieved in sequential processing systems?
Scalability in sequential processing can be achieved by optimizing algorithms, increasing hardware resources, and parallelizing tasks where possible.
What are some common challenges in scaling these systems?
Common challenges include bottlenecks in data processing, limited resource availability, and the complexity of managing state across processes.
Can you give examples of industries that face these challenges?
Industries like finance, healthcare, and telecommunications often face scalability challenges due to high data volumes and real-time processing needs.
What strategies can be implemented to overcome these challenges?
Strategies include adopting microservices architecture, using load balancers, and implementing caching mechanisms to improve performance.
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