Amazon Timestream for InfluxDB 3 now supports expanded multi-node cluster configurations

Amazon Timestream for InfluxDB has introduced expanded multi-node cluster configurations for the InfluxDB 3 Enterprise edition. This new feature allows users to scale clusters up to 15 nodes, accommodating demanding production workloads that require high read throughput and availability. With the latest update, users can configure clusters with a total of up to 15 nodes. This includes one to four writer/reader nodes for handling data ingestion and queries, zero to 13 dedicated reader-only nodes to enhance query performance, and a dedicated compactor node. This flexibility allows for optimization based on specific workload patterns. For instance, dedicated reader-only nodes can be allocated to manage read-heavy workloads, such as dashboards, reporting, and analytical queries, without affecting write performance.

All multi-node deployments are designed to distribute workloads across multiple nodes situated in different Availability Zones, thereby enhancing fault tolerance and ensuring high availability. This release also provides the ability to add and remove nodes from all Enterprise clusters, offering greater flexibility in managing time series database infrastructures. Additionally, users can upgrade from the Core edition to the Enterprise edition to take advantage of multi-node deployment capabilities and essential compaction features for long-term storage.

Users can create expanded multi-node clusters via the Amazon Timestream for InfluxDB console, AWS CLI, or AWS SDKs by configuring custom parameter groups according to their desired node topology. Amazon Timestream for InfluxDB 3 is available in all regions where Timestream for InfluxDB is offered. For further details, users are encouraged to consult the Amazon Timestream for InfluxDB documentation and pricing page.