Category: Resilience

Generative AI can streamline the Correction of Errors process, saving time and resources. By using generative AI to leverage large language models, combined with the Correction of Errors process, businesses can expedite the identification and documentation of the cause of errors, while saving time and resources. Purpose and set-up The purpose of this blog is […]

This blog post will walk you through an example of creating a Correction of Errors (COE) document. At Amazon, operational excellence is in our DNA. One best practice that we have learned at Amazon is to have a standard mechanism for post-incident analysis. The COE process facilitates learning from an event to avoid reoccurrences in […]

You may have encountered a situation in the past where a single user or small subset of users of your system are reporting an event that is impacting their experience, but your observability systems didn’t show any clear impact. The discrepancy between the customer’s experience and the system’s observation of its health is referred to […]

Application reliability is critical. Service interruptions result in a negative customer experience, thereby reducing customer trust and business value. One best practice that we have learned at Amazon, is to have a standard mechanism for post-incident analysis. This lets us analyze a system after an incident in order to avoid reoccurrences in the future. These […]