Amazon Timestream for LiveAnalytics availability change - Amazon Timestream

After careful consideration, we have made the decision to close new customer access to Amazon Timestream for LiveAnalytics, effective 6/20/25. This change will not impact customer workloads running with Amazon Timestream for LiveAnalytics. AWS continues to invest in security, availability, and performance improvements for Amazon Timestream for LiveAnalytics. We recommend evaluating

【まとめ】 Amazon Timestream について - Qiita

今回はAmazon Timestreamの全体像について説明していきます!Amazon TimestreamとはAmazon Timestream とは、高速かつスケーラブルなサーバレス時系列デ…

Qiita

Amazon Timestream as part of an IoT system - is it worth it?

Have you used AWS Timestream to store telemetry messages from connected devices? What are the benefits and challenges of that solution?

👉 Please share your thoughts in the comments!

#aws #iot #timestream #internetofthings

New AWS::Timestream::InfluxDBInstance

Use the AWS::Timestream::InfluxDBInstance resource to create a new InfluxDB instance.
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-timestream-influxdbinstance.html #timestream #cloudformation

AWS CloudFormation

Access data in Amazon Timestream with AWS AppSync | Amazon Web Services

AWS AppSync is a fully managed serverless GraphQL API service that simplifies application development by providing a single endpoint to securely query or update data from multiple databases, microservices, and APIs. Many organizations across different industry verticals (e.g., health care, manufacturing, energy generation, and transportation) use a stream of data to improve efficiencies of business […]

Amazon Web Services
Is Time Travel Possible In Our Universe?

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I looked into #AWS #Timestream Scheduled Queries tonight, for improving the performance of a small internal project which tracks sports activities within the company, and the difference between a regular Time stream Query and a scheduled one is just that: it's puts the result in a regular table, on a schedule. The querying is still slow, it then just runs against less data. However it does not improve the speed to the extent I need.
So caching everything in DynamoDB is the right fix for this.