Location history should be batched before being sent to the server. Even so, it would be good to choose a database optimized for write throughput, such as Cassandra. Systems Design Interview Course - from the author of this book, Alex Xu. Probably the most thorough resource. A pro for the book is how the case studies in the book cover good ground, and a variety of problems: A topic is divided into partitions, and a single partition can only be consumed by one consumer in the same group. Solutions to 16 real system design scenarios, offering practical guidance for enterprise architects to enhance their problem-solving skills.

Multipart upload: slice a large object into smaller parts and upload them independently to the object store. Hello guys, if you are preparing for System design interview then you must have come across System Design Interview — An Insider’s Guide by Alex Xu, one of the most popular book on System Design after Designing Data-Intensive Applications by Martin Kleppmann.It’s solution of popular System design problem and its framework to answer any System design question is definitely two of the most important takeaway from the book.

Book Genre: Architecture, Coding, Computer Science, Design, Engineering, Nonfiction, Programming, Science, Software, Technical, Technology While the book presents decent solutions to each of problems, I missed having alternative solutions with tradeoffs. In several cases, you can tradeoff the number of machines (and thus cost) for latency, resilience for disasters for cost or latency, and so on. These concepts are easier to grasp with examples. While the book goes deeper in this space that what I have otherwise seen, there is room for more depth. This transition reflects the industry’s growing need for professionals who can not only code but also architect solutions that can handle real-world complexities. This become especially important in the era of Cloud Computing and Microservices. The short answer to this question is Yes, System Design Interview — An Insider’s Guide Volume 1 and 2 by Alex Xu and Sahn Lam is still relevant in 2023–2024 and definitely worth it for anyone preparing System design interview. At one point, in the Chat design discussion, the author recommends we use a key-value store like Cassandra over a conventional database, but does not provide the critical insight that key-value stores use SSTables which provide sparse, in-mem indices which can performantly support many more rows than on-disk b-trees for highly distributed/"partitioned" systems (also: fewer disk-seeks). This very key distinction of in-mem hash vs on-disk indexing is critical, but the author merely says it "scales better". In general, the author doesn't seem to provide users with a clear grasp of why some NoSQL databases are better than others for some applications, but instead sort of charges ahead with a particular implementation, which I find troubling.Use tiles of different resolutions for map rendering of different zoom levels. These tiles should be pre-generated and be cached on a CDN. To rebalance a consumer group, the coordinator elects one of the consumers as the leader and asks it to generate a partition dispatch plan, which will then be forwarded to each group member.