Elasticsearch capacity planning: scaling with replicas and indices
Elasticsearch is built to scale. Growing from a small cluster to a large cluster can be a fairly painless process, but it is not magic. Planning for growth and designing your indices for scale are key.
In this webinar, we compare two methods of designing your clusters for scale: using multiple indices and using replica shards. The two techniques are not mutually exclusive, and you will likely use both methods when planning for capacity when dealing with a large volume of data and requests to your clusters.
In this webinar, we discuss capacity planning using content from the Elasticsearch Engineer II course.
- Scaling with replicas
- The cost of replicas
- Scaling with indices
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Dominic Page is an Education Engineer, developing, maintaining and delivering Training and Enablement to the Elastic Community. Dominic has a background in software engineering and has spent the last 20 years solving Search problems with a focus on scaling and relevance