jbesw
commented
1 year ago Thanks for the contribution! This will be live at https://serverlessland.com/repos/sns-xray-active-tracing-blog-source-code soon.
Closed lorchda closed 1 year ago
jbesw
commented
1 year ago Thanks for the contribution! This will be live at https://serverlessland.com/repos/sns-xray-active-tracing-blog-source-code soon.
Description
With AWS X-Ray active tracing enabled for SNS, you can identify bottlenecks and monitor the health of event-driven applications by looking at segment details for SNS topics, such as resource metadata, faults, errors, and message delivery latency for each subscriber.
In this sample application, we demonstrate common use cases where AWS X-Ray active tracing enabled for SNS provides a consistent view of tracing data across AWS services in real-world scenarios. We cover two architectural patterns which allow you to gain accurate visibility of your end-to-end tracing: SNS to Amazon Simple Queue Service (Amazon SQS) queues and SNS topics to Amazon Kinesis Data Firehose streams.
language
English
runtime
Python
Level
300
Type
Examples
Use case
Observability
Primary image
https://raw.githubusercontent.com/aws-samples/sns-xray-active-tracing-blog-source-code/main/images/x-ray-sns-tracing-integration-use-case-2-architecture.drawio.png
IaC framework
AWS SAM
AWS Serverless services used
Description headline
This sample application demonstrates Amazon SNS with AWS X-Ray active tracing
Repo URL
https://github.com/aws-samples/sns-xray-active-tracing-blog-source-code
Additional resources
Author Name
Daniel Lorch
Author Image URL
https://avatars.githubusercontent.com/u/98748454?v=4
Author Bio
Daniel Lorch is a Senior Consultant at Amazon Web Services based out of Switzerland. He is part of the Cloud Operations specialist team and passionate about helping customers implementing observability in their applications.
Author Twitter handle
No response
Author LinkedIn URL
https://www.linkedin.com/in/dlorch/
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