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To address the issue of AWS SageMaker multi-line logs being treated as separate single-line logs in CloudWatch, you can use the multi-line log support feature in CloudWatch Logs. While SageMaker isn't explicitly mentioned in the available sources, we can apply similar principles used for other AWS services to solve this problem.
Here are a few approaches you can consider:
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Use CloudWatch Logs Insights: Even if the logs are split into single lines, you can use CloudWatch Logs Insights to search and analyze your log data more effectively. This tool allows you to perform queries that can help you reconstruct and view multi-line log entries.
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Configure log parsing: If you have control over how the logs are sent to CloudWatch, you can configure the log driver to recognize multi-line log patterns. This typically involves setting up a regular expression that identifies the start of a new log entry.
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Use a custom log agent: You might be able to use a custom logging solution like Fluentd as a DaemonSet to collect and forward logs to CloudWatch. Fluentd supports multi-line log parsing, which can be configured to properly group your SageMaker logs before sending them to CloudWatch.
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Adjust CloudWatch agent configuration: If you're using the CloudWatch agent to collect logs, you may be able to configure it to handle multi-line logs. This often involves specifying a timestamp pattern or a regex pattern that indicates the start of a new log entry.
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Post-processing: As a last resort, you could implement a post-processing step that aggregates the split log lines back into multi-line entries after they've been collected in CloudWatch.
Remember that the exact implementation will depend on the specific format of your SageMaker logs and how they're being sent to CloudWatch. You may need to experiment with different configurations to find the best solution for your particular use case.
Sources
Application logging and monitoring using Amazon CloudWatch Logs - AWS Prescriptive Guidance
(Optional) Set up Fluentd as a DaemonSet to send logs to CloudWatch Logs - Amazon CloudWatch
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