I'm working on an Elasticsearch implementation project and a company in which 80% of the actions are reading, and 20% writing.
The environment is configured with 5 nodes where all are master / data / coordinating. In this environment, what is the best best practice for mapping indexes?
Currently the cluster has 130GB, and each month we will have around 2.5GB added. Monthly Indicies would be the best option? Or can I opt for just one index? Is it ideal to keep 5 shards, so they are distributed across all cluster nodes?
Currently each node has 550GB of disk and 8GB is reserved for heap.