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Identify the core bottlenecks of the system and address them with advanced concepts.

Which do you find most difficult (e.g., sharding, consistency, caching)?

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High-scale systems cannot handle every request synchronously. Learn how message queues (like Kafka or RabbitMQ) decouple services, handle traffic spikes, and process heavy background tasks without slowing down the user experience. A Framework for Structured Communication

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Implementing Redis or Memcached using Write-Through or Cache-Aside patterns to minimize database load. Which do you find most difficult (e

| Component | Purpose | Common Technologies | |-----------|---------|----------------------| | Load balancer | Distribute traffic | Nginx, HAProxy, AWS ELB | | Cache | Reduce latency | Redis, Memcached, CDN | | Database | Persistent storage | PostgreSQL, Cassandra, DynamoDB | | Message queue | Async processing | Kafka, RabbitMQ, SQS | | Object storage | Static assets | S3, GCS, Azure Blob |

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What are the core features? (e.g., "Users can post a tweet," "Users can follow others," "Users see a timeline").