Category: Amazon Timestream

As organizations adopt and deploy home-connected smart devices, they face challenges utilizing device telemetry data in narrow and broad contexts. Examples of such home-connected devices are smart meters and home sensors that emit telemetry and measurements as time series data. In a narrow context, operational teams use data to understand if devices are operating within […]

Time series data is a sequence of data points recorded over a time interval. This type of data is used for measuring events that change over time, such as stock prices, temperature measurements, or CPU utilization of an Amazon Elastic Compute Cloud (Amazon EC2) instance. With time series data, each data point consists of a […]

Many organizations have accelerated their adoption of stream data processing technologies in an effort to more quickly derive actionable insights from their data. Frequently, it is required that data from streams be computed into metrics or aggregations and stored in near real-time for analysis. These computed values should be generated and stored as quickly as […]

Large-scale internet of things (IoT) applications generate data at fast rates, and many IoT implementations require data to be stored sequentially, based on date-time values generated either at sensor or at ingestion levels. Across IoT implementations in many business verticals, such as industrial, utilities, healthcare, oil and gas, logistics, consumer devices, and smart vehicles, time […]

Time series data is one of the fastest growing categories across a variety of industry segments, such as application monitoring, DevOps, clickstream analysis, network traffic monitoring, industrial IoT, consumer IoT, manufacturing, and many more. Customers want to track billions of time series monitoring hundreds of millions of devices, industrial equipment, gaming sessions, streaming video sessions, […]

Customers asked us to integrate Telegraf with Amazon Timestream, a fast, scalable, serverless time series database service for IoT and operational applications, so we did. Thanks to the Timestream output plugin for Telegraf, you can now ingest metrics from Telegraf agent directly to Timestream.