Persistence (RDB vs AOF), high availability, connect from Python and Node, deploy with Upstash.
# RDB (Redis Database Backup) # Snapshots: saves the dataset to disk at intervals # Fast to restore, compact file, small performance impact # Risk: lose data between last snapshot and crash # AOF (Append Only File) # Logs every write operation # More durable, can recover to exact state before crash # Larger file, slightly slower writes # In redis.conf: save 900 1 # RDB: save after 900s if 1 key changed save 300 10 # save after 300s if 10 keys changed appendonly yes # enable AOF appendfsync everysec # fsync every second (good balance)
pip install redis
import redis
r = redis.Redis(
host='localhost',
port=6379,
decode_responses=True # auto-decode bytes to strings
)
r.set('key', 'value')
print(r.get('key')) # 'value'
# Pipeline: batch commands (one round trip)
pipe = r.pipeline()
pipe.set('a', 1)
pipe.set('b', 2)
pipe.incr('a')
pipe.execute()
# Upstash = fully managed Redis, serverless pricing
# Free tier: 10,000 commands/day
# No server to manage, works in Vercel/Netlify edge functions
# Get UPSTASH_REDIS_REST_URL and UPSTASH_REDIS_REST_TOKEN
# from upstash.com
# Node.js
npm install @upstash/redis
import { Redis } from '@upstash/redis';
const redis = Redis.fromEnv();
await redis.set('key', 'value');
const val = await redis.get('key');
Completing all five days means having a solid working knowledge of Redis. The skills here translate directly to real projects. The next step is practice — pick a project and build something with what was learned.
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