Learn more about how Elasticsearch autoscales to address ingestion load.

Ingest autoscaling overview

Metrics

Ingestion load

Memory

Scaling the cluster

Conclusion

Elasticsearch ingest autoscaling

Ingest autoscaling in Elasticsearch

We explore how serverless Elasticsearch facilitates searches using data stored in a blob store while maintaining the same visibility semantics as stateful Elasticsearch. We discuss the challenges encountered during implementation and share strategies for balancing costs and complexity.

Refreshes in stateful Elasticsearch

Refreshes in serverless Elasticsearch

Refresh cost optimizations

Batched compound commits

New refresh lifecycle

Considerations and tradeoffs

Conclusions

Acknowledgments

Elasticsearch refresh: How we optimized refreshes in Serverless

How we optimized refresh costs in Elasticsearch Serverless

Author

Francisco Fernández Castaño

Articles

Ingest autoscaling in Elasticsearch

How we optimized refresh costs in Elasticsearch Serverless