For similar capabilities to Amazon Timestream for LiveAnalytics, consider Amazon Timestream for InfluxDB. It offers simplified data ingestion and single-digit millisecond query response times for real-time analytics. Learn more here.
Deployment models in Timestream for InfluxDB 3
Single-node deployment
In a single-node deployment (available for both Core and Enterprise versions), a single instance handles all database operations. This configuration features:
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One node performing multiple critical roles:
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Writer role: Handles all write operations to the database.
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Reader role: Processes read queries and data retrieval operations.
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Compactor role: Optimizes storage by compacting data filesĀ (Enterprise version only).
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Core version: Single node operates with writer and reader roles only.
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Enterprise version: Single node operates with writer, reader, and compactor roles for complete functionality.
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Simplified management with all operations consolidated on a single instance.
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Lower cost compared to multi-node deployments.
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Suitable for development, testing, or smaller production workloads.
Single-node deployments are ideal for getting started with Timestream for InfluxDB 3 or for workloads with moderate performance requirements.
Multi-node deployment
Multi-node deployments (available only for Enterprise version) distribute workloads across multiple instances for improved performance, scalability, and availability. This configuration offers:
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Flexible node allocation based on workload requirements:
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2 nodes that can handle both write and read operations.
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1 dedicated compactor node for optimizing storage.
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Horizontal scaling capabilities to accommodate growing workloads.
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Enhanced fault tolerance with workload distribution across multiple nodes in different Availability Zones.
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Improved query performance.
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Better handling of concurrent operations.
Multi-node deployments are recommended for production environments with high throughput requirements, large data volumes, or the need for enhanced availability.