As microservice architectures and cloud-native scale grow, traditional threshold-based alerting can no longer meet the need for rapid incident response. This article explores how deep learning-based anomaly detection systems help SRE teams shift from reactive responses to proactive prediction.
Leverage LangChain + Chroma vector database to transform historical Runbooks, incident reports, and operations documents into a retrievable intelligent knowledge base for rapid root cause localization in on-call scenarios.
