Automating Snapshots with Snapshot Lifecycle Management (SLM)
Elasticsearch’s Snapshot Lifecycle Management (SLM) allows you to automate the creation and management of snapshots.
Example: Creating an SLM Policy:
PUT /_slm/policy/nightly-snapshots
{
"schedule": "0 30 1 * * ?", // Daily at 1:30 AM
"name": "<nightly-snap-{now/d}>",
"repository": "my_s3_repository",
"config": {
"indices": ["my_index"],
"ignore_unavailable": false,
"include_global_state": false
},
"retention": {
"expire_after": "30d",
"min_count": 5,
"max_count": 50
}
}
This policy schedules daily snapshots and retains them for 30 days, ensuring a minimum of 5 and a maximum of 50 snapshots.
High Availability and Disaster Recovery Strategies for Elasticsearch
Elasticsearch is a powerful distributed search and analytics engine, but to ensure its reliability in production, it’s crucial to implement high availability (HA) and disaster recovery (DR) strategies. These strategies help maintain service continuity and protect data integrity in the face of failures or disasters.
This article will guide you through the key concepts, strategies, and best practices for achieving high availability and disaster recovery in Elasticsearch, with detailed examples and outputs.