[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-可觀測性":3},{"tag":4,"articles":9},{"id":5,"name":6,"slug":6,"article_count":7,"description_zh":8,"description_en":8},"91678891-52ef-44ed-b406-ad26816493af","可觀測性",1,null,[10,19],{"id":11,"slug":12,"title":13,"summary":14,"category":15,"image_url":16,"cover_image":16,"language":17,"created_at":18},"17cafb6e-9f2c-43c4-9ba3-ef211d2780b1","why-observability-is-critical-cloud-native-systems-zh","為什麼可觀測性是雲原生系統的生存條件","可觀測性不是雲原生系統的附加功能，而是維持穩定、控成本與快速排障的基本能力。","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778794245143-tfqn.png","zh","2026-05-14T21:30:25.97324+00:00",{"id":20,"slug":21,"title":22,"summary":23,"category":15,"image_url":24,"cover_image":24,"language":17,"created_at":25},"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。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775171394613-nz9d.png","2026-04-02T23:09:33.160242+00:00"]