A new default web stack
summary
Proposes a practical Python web stack: add a full‑text index as a denormalized query layer (uses Solr (robust) not Elasticsearch after production issues), background jobs with Celery, an in‑memory layer with Redis 50k ops/sec for inboxes and set intersections, HTTP caching with Varnish microcaching 60s fronted by Nginx/HAProxy, feature flags (Gargoyle) and read‑only mode to enable live changes, metrics with statsd/graphite, and PostgreSQL for safe schema changes — e.g. a MySQL→Postgres migration completes with read-only migration 1.5h no downtime.
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chapters (8)
- 0:00Start
- 3:16Provide platform capabilities that make features cheaper to build
- 4:27Not just about text queries
- 7:49A smart way of denormalising your data
- 12:58Offline tasks (celery)
- 21:5850 reqs/sec to 50,000+ reqs/sec
- 26:30A way of exposing features to a sub-set of your userbase
- 35:27Graphs are the best way to visualize the health of your application
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