AWS Database Blog
Author: Victor Servin
Victor Servin is a Senior Product Manager for the Amazon Timestream team at AWS, bringing over 18 years of experience leading product and engineering teams in the Telco vertical. With an additional 5 years of expertise in supporting startups with Product Led Growth strategies and scalable architecture, Victor's data-driven approach is perfectly suited to drive the adoption of analytical products like Timestream. His extensive experience and commitment to customer success allows him to help customers to efficiently achieve their goals.
Scale smart, not just big: a practical guide to multi-node Amazon Timestream for InfluxDB 3 Enterprise
With the release of multi-node scaling for Amazon Timestream for InfluxDB 3 Enterprise, clusters can now support up to 15 nodes with distinct roles. You can separate ingestion, querying, and compaction to match your workload’s demands. In this post, we cover when to scale vertically versus horizontally, and how to make the right choice for both stability and cost.
Understanding time-series data and why it matters
In this post, we discuss the nature of time-series data, its presence across different types of industries and various use cases it enables.Time-series data is one of the most valuable types of data used today by organizations across industries. Time-series data allows for a more in-depth understanding of changes, patterns, and trends over time. This enables organizations to gain insights into past behaviors and current states, as well as predict future values. The sequential tracking of data at precise time intervals enables both retrospective and prospective analysis that is extremely valuable for strategy, planning, and decision-making across industries. In this post, we discuss the nature of time-series data, its presence across different types of industries and various use cases it enables.
Introducing customer-defined partition keys for Amazon Timestream: Optimizing query performance
Amazon Timestream is a fully managed, scalable, and secure time series database designed for workloads such as infrastructure observability, user behavioral analytics, and Internet of Things (IoT) workloads. It’s built to handle trillions of events per day, and designed to scale horizontally to meet your needs. With features like multi-measure records and scheduled queries, Timestream […]