Tag: Crash

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.This rule targets catastrophic conditions that break replication or cluster consensus:

• WAL streaming failures due to missing replication slots (usually after disk full or crash events)
• Persistent errors resolving HA controller endpoints (etcd/consul) and loss of HA controller quorum
• Disk saturation leading to WAL write errors and replication breakage

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 logic updates and deployments. These failures occur when invalid schema definitions are submitted, including syntax errors, circular dependencies, type conflicts, or malformed permission expressions, blocking critical authorization system updates.

Detects high-severity MongoDB replica set primary election failures that result in no primary node being available,causing complete service unavailability. This rule targets catastrophic conditions that break replica set consensus:

• Primary node failures followed by election timeouts where no secondary can become primary
• Network partitions isolating replica set members and preventing quorum formation
• Heartbeat failures and connectivity issues leading to election failures
• Replica set state transitions indicating election problems

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.