In this episode, Peter explores patterns that allow you to analyze and respond to your applications logs in near-real time. This pattern can be used for monitoring, alerting on application, or anomaly detection so you can quickly respond to unusually high error rates or sudden changes in your application.
Additional Resources:
https://aws.amazon.com/blogs/big-data/unify-log-aggregation-and-analytics-across-compute-platforms/
https://aws.amazon.com/blogs/big-data/preprocess-logs-for-anomaly-detection-in-amazon-opensearch/
https://aws.amazon.com/blogs/big-data/retain-more-for-less-with-ultrawarm-for-amazon-opensearch-service/
https://aws.amazon.com/about-aws/whats-new/2022/01/amazon-opensearch-service-elasticsearch-anomaly-detection/
https://docs.aws.amazon.com/opensearch-service/latest/developerguide/ultrawarm.html
Check out more resources for architecting in the #AWS cloud:
http://amzn.to/3qXIsWN
#AWS #AmazonWebServices #CloudComputing #BackToBasics
