SPDT/sapl - sapl - Gitea: Git with a cup of tea

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Author	SHA1	Message	Date
Edward Ribeiro	12f6a3e396	Phase 1: shared Redis pod — Django dual-backend cache + startup wiring django/settings.py: - REDIS_URL / CACHE_BACKEND env vars read at startup (written by start.sh) - CACHES['default'] (DB0, KEY_PREFIX='sapl') switches between django-redis and FileBasedCache transparently; IGNORE_EXCEPTIONS=True for graceful degradation on Redis failure - CACHES['ratelimit'] (DB1, no prefix) for cross-pod rate-limit counters - RATELIMIT_USE_CACHE = 'ratelimit' - Connection pool capped at 6/worker (1,200 pods × 2 workers × 6 = 14,400 peak connections; maxclients=20,000 gives 40% headroom) start.sh: - resolve_redis_url(): reads REDIS_URL from local namespace Secret (envFrom) or falls back to global cluster Secret via k8s API - configure_redis_cache(): ensures REDIS_CACHE waffle switch row exists (off) - resolve_cache_backend(): reads waffle switch; sets CACHE_BACKEND=redis\|file - wait_for_redis(): blocks until Redis reachable; falls back gracefully - write_env_file() now persists REDIS_URL + CACHE_BACKEND into pod .env k8s manifests (docker/k8s/): - redis-configmap.yaml: no persistence, allkeys-lru, maxmemory=5gb, maxclients=20000, activedefrag, 4 databases - redis-deployment.yaml: redis:7-alpine, 1 replica, liveness/readiness probes, 1Gi request / 6Gi limit - redis-service.yaml: ClusterIP on port 6379 requirements: add django-redis==5.4.0 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	3 weeks ago

Author

SHA1

Message

Date

Edward Ribeiro

12f6a3e396

Phase 1: shared Redis pod — Django dual-backend cache + startup wiring

django/settings.py:
- REDIS_URL / CACHE_BACKEND env vars read at startup (written by start.sh)
- CACHES['default'] (DB0, KEY_PREFIX='sapl') switches between django-redis
  and FileBasedCache transparently; IGNORE_EXCEPTIONS=True for graceful
  degradation on Redis failure
- CACHES['ratelimit'] (DB1, no prefix) for cross-pod rate-limit counters
- RATELIMIT_USE_CACHE = 'ratelimit'
- Connection pool capped at 6/worker (1,200 pods × 2 workers × 6 = 14,400
  peak connections; maxclients=20,000 gives 40% headroom)

start.sh:
- resolve_redis_url(): reads REDIS_URL from local namespace Secret (envFrom)
  or falls back to global cluster Secret via k8s API
- configure_redis_cache(): ensures REDIS_CACHE waffle switch row exists (off)
- resolve_cache_backend(): reads waffle switch; sets CACHE_BACKEND=redis|file
- wait_for_redis(): blocks until Redis reachable; falls back gracefully
- write_env_file() now persists REDIS_URL + CACHE_BACKEND into pod .env

k8s manifests (docker/k8s/):
- redis-configmap.yaml: no persistence, allkeys-lru, maxmemory=5gb,
  maxclients=20000, activedefrag, 4 databases
- redis-deployment.yaml: redis:7-alpine, 1 replica, liveness/readiness probes,
  1Gi request / 6Gi limit
- redis-service.yaml: ClusterIP on port 6379

requirements: add django-redis==5.4.0

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

3 weeks ago

1 Commits (0e1a14e12a61272a7e2fdf582e55ba48e0c0e426)