Kafka विशाल throughput (लक्ष लक्ष events/sec) सम्भालने गरी partitioning, brokers र consumers थप्ने, र tuning मार्फत scale गर्छ। उच्च-भोल्युम deployments को लागि Kafka कसरी scale गर्छ भन्ने बुझ्नु महत्त्वपूर्ण छ।
Scaling levers
text
✓ PARTITIONS → the primary scaling unit: more partitions → more parallelism (producer and
consumer) → distribute data and load across brokers and consumers
✓ BROKERS → add brokers to the cluster → more storage, throughput, and capacity (spread
partitions across more machines)
✓ CONSUMERS → add consumers to a group (up to partition count) → parallel consumption
✓ PRODUCERS → batching, compression, multiple producers → high write throughput
→ Kafka scales HORIZONTALLY (add partitions/brokers/consumers)