Category: Amazon Timestream

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.

In this post, we provide an overview of Timestream Compute Units (TCUs), cost controls using TCUs, and how to estimate the desired compute units for your workload for optimal price-performance.

As industrial and manufacturing companies embark on their digital transformation journey, they are looking to capture and process large volumes of near real-time data for optimizing production, reducing downtime, and improving overall efficiency. As part of this, they’re looking to store data locally at the plant floor or on-premises data center for real-time low-latency reporting […]

AWS has partnered with InfluxData to launch Amazon Timestream for InfluxDB, a managed version of the popular InfluxDB 2.x open source time series database engine. In this post, we demonstrate how to use the AWS InfluxDB migration script to migrate your data from your existing InfluxDB OSS 2.x instances to Timestream for InfluxDB. At the end of this post, we show one way to perform a live migration, with additional AWS resources.

In this post, we show how you can use the Timestream for LiveAnalytics Prometheus Connector to use Timestream for LiveAnalytics as remote storage for Prometheus with one-click deployment.

Amazon Timestream for LiveAnalytics is a fast, scalable, and serverless time-series database that makes it straightforward and cost-effective to store and analyze trillions of events per day. You can use Timestream for LiveAnalytics for use cases like monitoring hundreds of millions of Internet of Things (IoT) devices, industrial equipment, gaming sessions, streaming video sessions, financial, […]

Capacity planning for large applications can be difficult due to constantly changing requirements and the dynamic nature of modern infrastructures. Traditional reactive approaches, for instance, relying on static thresholds for some DevOps metrics like CPU and memory, fall short in such environments. In this post, we show how you can perform predictive analysis on aggregated […]

Organizations require systems and mechanisms in place to gather and analyze large amounts of data as it is created, in order to get insights and respond in real time. Stream processing data technologies enable organizations to ingest data as it is created, process it, and analyze it as soon as it is accessible. In this […]

Amazon Timestream is a fast, scalable, fully managed, purpose-built time-series database that makes it straightforward to store and analyze trillions of time-series data points per day. Timestream saves you time and cost in managing the lifecycle of time-series data by keeping recent data in memory and moving historical data to a cost-optimized storage tier based […]

Amazon Timestream is a fully managed, scalable, and serverless time series database service that makes it easy to store and analyze trillions of events per day. Customers across a broad range of industry verticals have adopted Timestream to derive real-time insights, monitor critical business applications, and analyze millions of real-time events across websites and applications. […]