Managing and Scaling Elasticsearch Clusters 🚧

Advanced

Scaling Elasticsearch involves adding nodes to distribute load and ensure redundancy. Key practices:

  • Horizontal scaling by adding more nodes.
  • Shard allocation to balance data across nodes.
  • Replication to safeguard against data loss.

Cluster management commands:

# Adding nodes
# Configure each node's elasticsearch.yml with cluster details.

# Check cluster health
GET /_cluster/health

# Rebalance shards
POST /_cluster/reroute

**Monitoring tools:**
- Elasticsearch Monitoring UI in Kibana.
- API endpoints for cluster health and node stats.

By effectively managing shard distribution and replication, large-scale Elasticsearch clusters maintain high performance and fault tolerance.