[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-kafka":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"93b468c1-05a1-4cc7-b9b3-b18a77f1d8c4","Kafka","kafka",3,"Kafka 是常見的分散式事件串流平台，適合處理高吞吐日誌、即時資料管線與服務間解耦。這個主題會連到分割、消費者群組、重試與順序性等實作細節，也和可觀測性、容錯與資料密集系統設計密切相關。","Kafka is a distributed event streaming platform used for high-throughput logs, real-time data pipelines, and service decoupling. This topic covers partitions, consumer groups, retries, ordering, and the operational concerns that shape reliable data-intensive systems.",[12,21],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"4d43ed47-a173-4628-ae65-d99b7aa11098","distsim-distributed-systems-on-your-laptop-zh","DistSim 把分散式系統搬進筆電","DistSim 把 22 個服務、Docker 容器和 chaos testing 放進本機實驗室，讓你在筆電上直接練分散式系統。","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775293786987-2jfd.png","zh","2026-04-04T09:09:28.644358+00:00",{"id":22,"slug":23,"title":24,"summary":25,"category":26,"image_url":27,"cover_image":27,"language":19,"created_at":28},"833aae34-c93d-4915-9195-52443d8dd7dd","designing-data-intensive-apps-scale-reliability-zh","資料密集系統怎麼撐住流量","分割、一致性、可觀測性，決定資料密集系統能不能在高流量下維持速度與穩定。這篇用台灣開發者看得懂的方式，拆解《Designing Data-Intensive Applications》的核心觀念。","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775171394613-nz9d.png","2026-04-02T23:09:33.160242+00:00"]