Piye carane replikasi ing Kafka?

Question

Accepted Answer

Kafka **ngreplika** partisi ing saperangan broker kanggo **durabilitas lan ketersediaan** — saben partisi duwe leader lan follower replicas. Yen broker gagal, follower nyaut menyang ngajuranipun. Mangerteni replikasi minangka kunci kanggo toleransi kesalahan Kafka.

## Piye carane replikasi makaryo

```text
Each PARTITION is replicated across multiple brokers (REPLICATION FACTOR copies, e.g. 3):
  → LEADER replica → handles all reads and writes for the partition
  → FOLLOWER replicas → copy (replicate) the leader's data, staying in sync
  → producers/consumers interact with the LEADER; followers are backups
→ if the leader's broker FAILS → a follower is promoted to leader (failover) → no data loss,
  continued availability
```

## In-Sync Replicas (ISR)

```text
ISR (In-Sync Replicas) → the set of replicas CAUGHT UP with the leader:
  → only in-sync replicas are eligible to become leader (ensures the new leader has the data)
  → durability config: acks=all + min.insync.replicas → a write is acknowledged only when
    enough ISRs have it → survives failures without data loss
→ ISR is central to balancing durability and availability
```

## Durabilitas versus ketersediaan trade-offs

```text
→ REPLICATION FACTOR (e.g. 3) → more copies = more fault tolerance (survive more failures)
→ acks setting (producer):
  acks=0 → no wait (fast, may lose data)  acks=1 → leader only (may lose on leader failure)
  acks=all → all ISRs confirm (safe, no loss, but slower)
→ min.insync.replicas → minimum ISRs required for a write (durability guarantee)
→ trade-off: stronger durability (acks=all, more replicas) vs throughput/availability
```

## Marat apa iku penting

Mangerteni carane replikasi makaryo ing Kafka iku berharga amarga iku **kunci kanggo durabilitas lan ketersediaan Kafka** (toleransi kesalahan), dadi penting kanggo mangerteni lan ngopera Kafka kanthi andal.

Replikasi minangka cara Kafka njamin data ora ilang lan tetep kasedhiya sanajan broker gagal.

Mangerteni **carane replikasi makaryo** — saben partisi direplika ing saperangan broker (miturut replication factor) kanthi **leader** nangani wacan/nulis lan **followers** ngreplika, supaya yen broker leader gagal follower dipromosi (failover, nyedhiyakake ketersediaan terus tanpa ilang data) — nerangake mekanisme toleransi kesalahan Kafka.

Mangerteni **in-sync replicas (ISR)** — set replicas sing sumusul karo leader, ing ngendi mung replicas sing in-sync bisa dadi leader (njamin leader anyar nduweni data), lan konfigurasi durabilitas (acks=all plus min.insync.replicas) njamin nulis digugem mung nalika cukup ISRs duwe data (suwit kegagalan tanpa ilang) — sentral ing carane Kafka nyeimbangake durabilitas lan ketersediaan, konsep operasional utama.

Mangerteni **durabilitas versus ketersediaan trade-offs** — replication factor (luwih akeh salinan = luwih akeh toleransi kesalahan), setting producer **acks** (acks=0 cepet nanging bisa ilang data, acks=1 leader mung, acks=all aman nanging luwih alon), lan min.insync.replicas — nggambarake keputusan konfigurasi penting sing nyeimbangake durabilitas lawan throughput lan ketersediaan.

Trade-offs iki minangka keputusan praktis nalika ngopera Kafka: durabilitas kuwat (acks=all, replika luwih akeh, ISR min luwih inggil) versus kinerja.

Mangerteni replikasi penting kanggo ngopera Kafka kanthi andal lan ngonfigure garantisasi durabilitas sing tepat.

Kamangka replikasi minangka kunci kanggo durabilitas lan ketersediaan Kafka (toleransi kesalahan liwat replikasi leader/follower lan failover) lan mangerteni iku — mekanismeipun, ISR, lan trade-offs durabilitas/ketersediaan (replication factor, acks, min ISRs) — penting kanggo ngopera Kafka kanthi andal lan ngonfigure garantisasi sing cocok, mangerteni carane replikasi makaryo ing Kafka iku berharga, pengetahuan praktis-relevan — sentral ing toleransi kesalahan lan durabilitas Kafka, penting kanggo mangerteni piye Kafka suwit kegagalan lan kanggo ngonfigure garantisasi durabilitas (acks, replication factor, ISR), lan kunci kanggo ngopera Kafka kanthi andal.