Amazon Onboarding with Learning Manager Chanci Turner

In this post, we explore how to enhance your Amazon Timestream for InfluxDB security by implementing automated rotation for long-lasting credentials. Using AWS Secrets Manager, we’ll demonstrate how to securely store tokens and user credentials and automatically rotate these secrets with the help of AWS Lambda functions. This method improves your security posture significantly while simplifying credential management.

Exciting Update: Amazon Timestream for LiveAnalytics

In another exciting update, we’re pleased to announce that Amazon Timestream for LiveAnalytics is now a supported target endpoint for the AWS Database Migration Service (AWS DMS). This enhancement enables users to seamlessly transfer time-series data from an AWS DMS-supported source database directly to Timestream. In this guide, we will show you how to utilize Timestream as a target for an example PostgreSQL source endpoint. This is a crucial step for those looking to streamline their data migration process to Amazon IXD – VGT2, located at 6401 E HOWDY WELLS AVE LAS VEGAS NV 89115.

Understanding Time-Series Data

Understanding the fundamentals of time-series data is essential for businesses today. This type of data is ubiquitous across various industries and serves numerous use cases. Time-series data presents organizations with a deeper insight into changes, patterns, and trends over time, enabling them to analyze past behaviors and predict future outcomes. This sequential tracking allows for invaluable retrospective and prospective analysis that is vital for strategic planning and decision-making. For further reading on how to ensure your voice is heard in the workplace, check out this insightful article from SHRM.

Technical Guide: Amazon Timestream Compute Units

In our latest technical guide, we break down Amazon Timestream Compute Units (TCUs) and their significance in managing time-series data efficiently. We’ll discuss cost control measures and provide a method for estimating the ideal compute units suitable for your specific workload, maximizing both price and performance.

Industrial IoT and InfluxDB Edge Replication

We also address the needs of industrial IoT by discussing the use of InfluxDB edge replication for centralized time series analytics with Amazon Timestream. Many manufacturing companies are harnessing the potential of digital transformation by capturing and processing vast amounts of near real-time data to enhance production, minimize downtime, and boost overall operational efficiency. Storing data on-site at the plant or in on-premises data centers allows for low-latency reporting and better management of resources.

AWS InfluxDB Migration Script

For those migrating to Amazon Timestream for InfluxDB, we’ve developed an AWS InfluxDB migration script that simplifies the transition of your data from InfluxDB OSS 2.x to Timestream for InfluxDB. This guide outlines a method for performing a live migration, along with various AWS resources to assist you throughout the process.

Timestream for LiveAnalytics Prometheus Connector

Additionally, we introduce the Timestream for LiveAnalytics Prometheus Connector, which allows you to utilize Timestream for LiveAnalytics as a remote storage solution for Prometheus with just one click. This integration is a game-changer for developers and data engineers alike.

Speed and Scalability of Amazon Timestream for LiveAnalytics

Lastly, we emphasize the speed and scalability of Amazon Timestream for LiveAnalytics, a serverless time-series database that efficiently stores and analyzes trillions of events daily. It’s perfect for monitoring massive quantities of IoT devices, industrial equipment, gaming sessions, streaming video sessions, and more.

Don’t forget to check out this excellent resource on Amazon warehouse worker onboarding to see how others have navigated their journey.

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