SYSTEM OVERVIEWLast updated: Just now
AETHER-PROD-01
Active Pods42/48
API Latency45.2ms
Live Cluster Metrics
CPU Core Allocation
64.2%
Limit: 128 CoresHealthy
Memory Utilization
82.1%
Limit: 512 GB RAMWarning Status
Ingress / Network
4.2 GB/s
Egress: 2.8 GB/sStable Traffic
Request Error Rate
1.42%
Threshold: 0.50%Breach Alert
TOPOLOGY VIEW
Deployment Node Connection & Routing Map
Routing: Ingress-Controller (Nginx)
Outage Detected
recommendation-api (0 pods ready) is unreachable by gateway proxy routers.
Active Deployments & Services
Manage, track resource footprints, and configure running pods
| Microservice | Type | Ready Pods | CPU Usage | Memory | Latency | Status |
|---|---|---|---|---|---|---|
auth-gateway | API Gateway | 4/4 | 42% | 68% | 45ms | healthy |
user-profile-db | StatefulSet | 3/3 | 78% | 89% | 120ms | warning |
payment-processor | Deployment | 6/6 | 31% | 45% | 18ms | healthy |
recommendation-api | Inference Engine | 0/2 | 0% | 0% | — | critical |
analytics-aggregator | Deployment | 2/2 | 55% | 72% | 250ms | healthy |
Live Log Console
Real-time trace and debug logging output from selected cluster agents
stdout_stream.log
UTF-8CONNECTED
14:23:45.092INFO[auth-gateway]Token authenticated for user_id=usr_9011
14:23:45.110WARN[user-profile-db]Connection pool utilization exceeds 85% (34/40)
14:23:45.184ERROR[recommendation-api]CrashLoopBackOff: Container failed with exit code 137 (OOMKilled)
14:23:45.201INFO[payment-processor]Stripe webhook payment_intent.succeeded signature verified
14:23:45.298DEBUG[analytics-aggregator]Flushing 128 telemetry payloads to cloud-storage bucket
14:23:45.312INFO[auth-gateway]GET /v2/users/me/profile - Response 200 OK in 45ms
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Active Incident Stream
High-priority outages, policy failures, and SLA breaches requiring remediation
critical Incident on recommendation-api
2m agoDeployment replicas dropped to 0/2. Critical path offline.
warning Incident on user-profile-db
8m agoHigh CPU throttling detected on pod user-profile-db-0.
info Incident on payment-processor
14m agoHorizontal Pod Autoscaler triggered deployment scale-up.