Amazon Elasticsearch Service

awselasticsearchopendistro

Global DB

Amazon Aurora Global Database is designed for globally distributed applications, allowing a single Amazon Aurora database to span multiple AWS regions. It replicates your data with no impact on database performance, enables fast local reads with low latency in each region, and provides disaster recovery from region-wide outages.

auroradatabasereplication

Memory Management

Manage memory more efficiently in Elasticsearch

awselasticsearch

Multi-AZ storage clusters

Multi-AZ storage clusters can span 4-6 AZs and service thousands of databases in any of the three AZs. In addition to load-balancing functionality to load-balance evenly across availability zones, this feature made a significant change to the networking architecture of the cluster to allow supporting thousands of databases.

multi-azauroraaws

Performance Analyzer

Performance Analyzer is an agent and REST API that allows you to query numerous performance metrics of your elasticsearch cluster, including aggregations of those metrics, independent of the Java Virtual Machine (JVM).

performanceelasticsearch

Placement Zones

This feature created placement zones in an Aurora storage cluster. They helped with scalability, deployments and blast radius containment.

performancecellaurora

Root Cause Analysis Framework

RCA framework builds on Performance Analyzer to support root cause analysis (RCA) of performance and reliability problems for Elasticsearch instances. This framework would conduct real time root cause analysis of such problems using Performance Analyzer metrics. Root cause analysis can significantly improve operations, administration and provisioning of Elasticsearch clusters, and it can enable Elasticsearch client teams to tune their workloads to reduce errors.

performanceelasticsearchopendistro