Managing and Scaling Elasticsearch Clusters 🚧
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.