Spotlight on data refactoring a million-line codebase
"In late 2017, Slack's largest customers were plagued with relentless performance-related outages, due in part to the fact that public channels, private channels, and DMs were stored in completely distinct ways. Instead of shipping scrappy, short-term fixes, the company opted to address th...
| Otros Autores: | |
|---|---|
| Formato: | Vídeo online |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly
[2020]
|
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822804606719 |
| Sumario: | "In late 2017, Slack's largest customers were plagued with relentless performance-related outages, due in part to the fact that public channels, private channels, and DMs were stored in completely distinct ways. Instead of shipping scrappy, short-term fixes, the company opted to address the root problem and completely refactor problematic functionality by consolidating any redundant database schemas."--Resource description page. |
|---|---|
| Notas: | Title from title screen (viewed July 13, 2020). Date of publication from resource description page. |
| Descripción Física: | 1 online resource (1 streaming video file (1 hr., 14 sec.)) : digital, sound, color |
