Skip to main content

Tag: Deployment

Problems related to application deployment, such as pod scheduling failures, resource constraints, or configuration deployment issues

IDTitleDescriptionCategoryTechnologyTags
prequel-2025-0098
Medium
Impact: 6/10
Mitigation: 4/10
Loki Pattern Ingester Empty RingLoki distributor encounters "empty ring" errors when attempting to send streams to pattern ingesters. This occurs when pattern ingestion is enabled in the configuration but no pattern-ingester pods are running or properly registered in the ring. The distributor's pattern-tee component cannot find any available pattern ingesters to process pattern extraction, leading to high error spam in logs while normal log ingestion continues to function.Observability ProblemsdistributorLokiConfigurationObservabilityDeploymentReplication
prequel-2025-0112
Medium
Impact: 0/10
Mitigation: 0/10
Kubernetes Deployment CPU Requests Missing- Detects Kubernetes Deployment resources without CPU requests configured on containers. - Monitors deployment specifications where containers lack proper CPU request definitions. - Identifies resource management violations that can lead to poor cluster scheduling. - Tracks deployments that may cause resource contention and performance issues.Resource Managementv1KubernetesDeploymentCPU Requestsresource-managementSchedulingPerformance
prequel-2025-0113
Medium
Impact: 0/10
Mitigation: 0/10
Kubernetes Deployment CPU Limits Missing- Detects Kubernetes Deployment resources without CPU limits configured on containers. - Monitors deployment specifications where containers lack proper CPU limit definitions. - Identifies resource management violations that can lead to resource exhaustion. - Tracks deployments that may consume excessive CPU resources without bounds.Resource Managementv1KubernetesDeploymentCPU Limitsresource-managementResource ExhaustionPerformance
prequel-2025-0114
Medium
Impact: 0/10
Mitigation: 0/10
Kubernetes Deployment Memory Requests Missing- Detects Kubernetes Deployment resources without memory requests configured on containers. - Monitors deployment specifications where containers lack proper memory request definitions. - Identifies resource management violations that can lead to poor scheduling decisions. - Tracks deployments that may cause memory pressure and OOM conditions.Resource Managementv1KubernetesDeploymentMemory Requestsresource-managementSchedulingOOM
prequel-2025-0115
Medium
Impact: 0/10
Mitigation: 0/10
Kubernetes Deployment Memory Limits Missing- Detects Kubernetes Deployment resources without memory limits configured on containers. - Monitors deployment specifications where containers lack proper memory limit definitions. - Identifies resource management violations that can lead to memory exhaustion. - Tracks deployments that may consume excessive memory resources without bounds.Resource Managementv1KubernetesDeploymentMemory Limitsresource-managementMemory ExhaustionOOM
prequel-2025-0116
Medium
Impact: 0/10
Mitigation: 0/10
Kubernetes Deployment Liveness Probe Missing- Detects Kubernetes Deployment resources without liveness probes configured on containers. - Monitors deployment specifications where containers lack proper health check definitions. - Identifies reliability violations that can lead to undetected application failures. - Tracks deployments that may run unhealthy containers without automatic recovery.Kubernetes Best Practicesv1KubernetesDeploymentLiveness ProbeHealth ChecksReliabilityAvailability
prequel-2025-0117
Medium
Impact: 0/10
Mitigation: 0/10
Kubernetes Deployment Readiness Probe Missing- Detects Kubernetes Deployment resources without readiness probes configured on containers. - Monitors deployment specifications where containers lack proper readiness check definitions. - Identifies reliability violations that can lead to premature traffic routing. - Tracks deployments that may receive traffic before being fully ready to handle requests.Kubernetes Best Practicesv1KubernetesDeploymentReadiness ProbeHealth ChecksReliabilityTraffic Routing