From 3ab6abc81d1a4df629fac6a1b80eb6d835ffef5a Mon Sep 17 00:00:00 2001 From: fred Date: Fri, 22 Nov 2024 14:21:20 -0800 Subject: [PATCH] Updating README links (#27) Updating links in main readme --- README.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index cc2fa9ff..d80c0ffe 100644 --- a/README.md +++ b/README.md @@ -27,7 +27,6 @@ This sample application is currently available for the following programming lan * [Getting started with Java](https://github.com/awslabs/amazon-timestream-tools/blob/mainline/sample_apps/java/) * [Getting started with Java v2](https://github.com/awslabs/amazon-timestream-tools/blob/mainline/sample_apps/javaV2/) * [Getting started with Python](https://github.com/awslabs/amazon-timestream-tools/blob/mainline/sample_apps/python/) -* [Getting started with Go](https://github.com/awslabs/amazon-timestream-tools/blob/mainline/sample_apps/go/) * [Getting started with Go v2](https://github.com/awslabs/amazon-timestream-tools/blob/mainline/sample_apps/goV2/) * [Getting started with Node.js](https://github.com/awslabs/amazon-timestream-tools/blob/mainline/sample_apps/js/) * [Getting started with .NET](https://github.com/awslabs/amazon-timestream-tools/blob/mainline/sample_apps/dotnet/) @@ -51,10 +50,10 @@ To continue to use your preferred data collection, analytics, visualization, and ## Data ingestion and query tools To understand the performance and scale capabilities of Amazon Timestream, you can run the following workload: -* [Running large scale workloads with Amazon Timestream](https://github.com/awslabs/amazon-timestream-tools/tree/mainline/tools/perf-scale-workload/) +* [Running large scale workloads with Amazon Timestream](https://github.com/awslabs/amazon-timestream-tools/tree/mainline/tools/python/perf-scale-workload/) You can use the following tools to continuously send data to Amazon Timestream: * [Publishing data with Amazon Kinesis to send to Amazon Timestream](https://github.com/awslabs/amazon-timestream-tools/blob/mainline/tools/python/kinesis_ingestor/) -* [Publishing data with Apache Kafka/ Amazon MSK to send to Amazon Timestream](https://github.com/awslabs/amazon-timestream-tools/blob/mainline/tools/python/kafka_ingestor/) +* [Publishing data with Apache Kafka/ Amazon MSK to send to Amazon Timestream](https://github.com/awslabs/amazon-timestream-tools/blob/mainline/tools/java/kafka_ingestor/) * [Multi-threaded continuous data generator for writing DevOps metrics into Amazon Timestream](https://github.com/awslabs/amazon-timestream-tools/tree/mainline/tools/python/continuous-ingestor/)