This blog covers some key plugins in the InfluxDB 3 ecosystem that are widely used for analytics, monitoring, and data management.

Amazon Timestream for InfluxDB now offers support for InfluxDB 3. Now application developers and DevOps teams can run InfluxDB 3 databases as a managed service. InfluxDB 3 uses a new architecture for the InfluxDB database engine, built on Apache Arrow for in-memory data processing, Apache DataFusion for query execution, and columnar Parquet storage format with data persistence in Amazon S3 to deliver fast performance for high-cardinality data and large scale data processing for large analytical workloads. With Amazon Timestream for InfluxDB 3, customers can leverage improved query performance and resource utilization for data-intensive use cases while benefiting from virtually unlimited storage capacity through S3-based object storage. The service is available in two editions: Core, the open source version of InfluxDB 3, for near real-time workloads focused on recent data, and Enterprise for production workloads requiring high availability, multi-node deployments, and essential compaction capabilities for long-term storage. The Enterprise edition supports multi-node cluster configurations with up to 3 nodes initially, providing enhanced availability, improved performance for concurrent queries, and greater system resilience. Amazon Timestream for InfluxDB 3 is available in all Regions where Timestream for InfluxDB is available. See https://docs.aws.amazon.com/general/latest/gr/timestream.html for a full listing of our Regions. To get started with Amazon Timestream for InfluxDB 3, visit the https://console.aws.amazon.com/timestream. For more information, see the https://docs.aws.amazon.com/timestream/ and https://aws.amazon.com/timestream/pricing/.

InfluxDB puts intelligence at the core with real-time, Python-based processing and a diskless storage architecture for better performance.

YouTube video by InfluxData

We are excited to announce the launch of storage scaling functions for Amazon Timestream for InfluxDB, allowing you to scale your allocated storage and change your storage Tiers as needed. With Storage Scaling, in you few simple steps you have greater flexibility and control over your time-series data processing and analysis. Timestream for InfluxDB is used in applications that require high-performance time-series data processing and analysis. You can quickly respond to changes in data ingestion rates, query volumes, or other workload fluctuations by moving to a faster more performant storage tier or extending your allocated storage capacity, ensuring that your Timestream for InfluxDB instances always have the necessary resources to handle your workload and cost effectively. This means you can focus on building and deploying your applications, rather than worrying about storage sizing and management. Support for Storage Scaling is available in all Regions where Timestream for InfluxDB is available. See here for a full listing of our Regions. To learn more about Amazon Timestream for InfluxDB, please refer to our user guide. You can create a Amazon Timestream Instance from the Amazon Timestream console, AWS Command line Interface (CLI), or SDK, and AWS CloudFormation. To learn more about compute scaling for Amazon Timestream for InfluxDB, visit the product page, documentation, and pricing page.

Scalable datastore for metrics, events, and real-time analytics - influxdata/influxdb

Amazon Timestream for InfluxDB now supports Read Replicas, enabling customers to scale their read operations across multiple instances and Availability Zones. Customers can activate a Read Replica via the AWS Marketplace from the Timestream AWS Management Console while creating a Timestream for InfluxDB instance. Adding Read Replicas allow customers to support higher read throughput by distributing read requests across multiple database instances while maintaining a single write endpoint. This helps customers meet the demands of read-intensive workloads, such as real-time analytics and monitoring applications, and improve application performance and availability. Customers can create a Multi-AZ Read Replica cluster with just a few clicks in the AWS Management Console. Support for Timestream for InfluxDB Read Replicas is available the following Timestream for InfluxDB Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Milan), Europe (Paris), and Europe (Stockholm). To learn more about Amazon Timestream for InfluxDB, please refer to our user guide. You can create a Amazon Timestream for InfluxDB Read Replicas cluster from the Amazon Timestream console, AWS Command line Interface (CLI), or SDK, and AWS CloudFormation. To learn more about the Read Replica Cluster for Amazon Timestream for InfluxDB, visit the product page, documentation, and pricing page.

InfluxDB's rewrite in Rust delivers infinite cardinality, SQL querying and compute-storage separation, positioning the time series database as a leading alternative for edge and IoT deployments.

Origin

The InfluxDB MCP server is an open source service that connects InfluxDB 3 to AI tools like Claude Desktop using the Model Context Protocol so you can query data, inspect schema, and manage your…

Today I’m excited to announce that we deployed our next-g...

In this episode, we talk to Paul Dix, founder and CTO…

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many mo...