Amazon Timestream expands multi-node cluster support for InfluxDB 3

Amazon Timestream has enhanced its support for InfluxDB 3 Enterprise edition by enabling expanded multi-node cluster configurations. This new capability allows users to scale their clusters up to 15 nodes, making it suitable for production workloads that demand high read throughput and availability.

With the updated configuration options, users can now set up clusters with a combination of one to four writer/reader nodes dedicated to data ingestion and queries, and up to 13 reader-only nodes to boost query performance. Additionally, a dedicated compactor node is included, allowing users to tailor their setups to specific workload patterns. For example, by allocating dedicated reader-only nodes, users can efficiently manage read-heavy tasks such as dashboards, reporting, and analytical queries without affecting write performance.

All multi-node deployments are designed to distribute workloads across various nodes located in different Availability Zones, thereby enhancing fault tolerance and ensuring high availability. The latest release also introduces the ability to add or remove nodes from any Enterprise cluster, providing users with greater flexibility in managing their time series database infrastructure.

Moreover, users have the option to upgrade from the Core edition to the Enterprise edition to take advantage of the multi-node deployment features and compaction capabilities essential for long-term data storage.

Expanded multi-node clusters can be configured using the Amazon Timestream for InfluxDB console, AWS CLI, or AWS SDKs by setting up custom parameter groups with the desired node topology. This feature is now available in all regions where Timestream for InfluxDB is offered.

For additional details, users can refer to the Amazon Timestream for InfluxDB documentation and pricing information.