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    Redis Caching Platform

    A dedicated caching architecture around Redis: cache-aside for reads, write-through for critical counters, stampedes protection, and session storage. PostgreSQL remains the source of truth. Redis absorbs 90%+ of read traffic so the database stays boring even when the homepage is on fire.

    5K – 1Musers supported
    $80 – $1,200/month infrastructure

    Architecture Diagram

    Interactive — hover over any node to see its role and description.

    UserCDNCloudFrontApp APINode / LaravelRedis ClusterHot dataPostgreSQLSource of truthWarm WorkerBullMQMetricsHit ratioUserFrontendAPICacheDatabaseQueueExternal

    Use Cases

    SaaS dashboards that hit the same aggregates thousands of times a minute
    Product pages and category trees on high-traffic storefronts
    Session and cart storage that survives API restarts
    Leaderboards, rate counters, and feature-flag payloads
    Protecting Postgres from thundering herds after a cache flush

    Technology Stack

    frontend

    Next.jsReact

    backend

    Node.jsLaravelBullMQ

    database

    PostgreSQLRedis 7 (Cluster)

    infrastructure

    AWS ElastiCacheRDSDocker

    Scalability Roadmap

    Stage 10 – 10K users· Single Redis + RDS

    One Redis instance. Cache-aside on the 20 hottest queries. Enough for most MVPs.

    Stage 210K – 100K users· ElastiCache + replica

    Primary + replica. Tag-based invalidation. Connection pooling from the app.

    Stage 3100K – 500K users· Redis Cluster + read replicas

    Sharded cluster. Separate session vs cache vs rate-limit DBs. Postgres read replicas.

    Stage 4500K+ users· Regional Redis + Global Datastore

    Redis Global Datastore or per-region clusters. Write-local, replicate read caches. Never cache across regions without TTL discipline.

    Cost Breakdown

    Development Cost

    $6,000 – $16,000 (4–8 weeks)

    Infrastructure Cost

    $80 – $1,200/month (ElastiCache is the main line item)

    Maintenance Cost

    $800 – $2,000/month for key design, eviction tuning, and incident response

    Security Considerations

    Redis AUTH + in-transit encryption; never expose Redis to the public internet
    No secrets or raw PII in cache values — hash or tokenise first
    Per-tenant key prefixes so a cache dump cannot mix customers
    Short TTLs on anything ACL-sensitive; explicit invalidation on permission change

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    Rate Limiting & Session Store

    Sliding windows, API keys, and sticky sessions on Redis

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