KEDA allows for fine\-grained autoscaling (including to/from zero) for event driven Kubernetes workloads. KEDA serves as a Kubernetes Metrics Server and allows users to define autoscaling rules using a dedicated Kubernetes custom resource definition.
Detects high\-severity failures in self\-hosted PostgreSQL high\-availability clusters managed by Patroni, Zalando, or similar HA controllers.
The OpenTelemetry Collector can panic due to a nil pointer dereference in the Prometheus Remote Write exporter. The issue occurs when attribute values are assumed to be strings, but the internal representation is nil or incompatible, leading to a runtime `SIGSEGV` segmentation fault and crashing the collector.
Detects SpiceDB schema validation failures that prevent authorization
Detects high\-severity MongoDB replica set primary election failures that result in no primary node being available,
Detects critical CUDA out of memory errors in Stable Diffusion WebUI that cause image generation failures and application crashes. This occurs when GPU VRAM is exhausted during model loading or image generation, resulting in complete task failure and potential WebUI instability.
A pod OOM (Out Of Memory) crash in occurs when a container inside a pod tries to use more memory than has been allocated to it, causing the container to be terminated by the operating system.