Scaling Kubernetes Workloads with the OpenSearch KEDA Scaler

The new OpenSearch KEDA scaler, introduced in KEDA 2.20, allows Kubernetes workloads to scale directly based on any arbitrary query result from OpenSearch, such as error rates or latency metrics found in logs and traces. By leveraging existing observability data, this feature eliminates the need for a separate metrics pipeline and enables automated infrastructure responses. Additionally, users can utilize OpenSearch search templates to keep their scaling queries parameterized, testable, and reusable across different services.