SignalForge
Op
Operator priorities
3 ranked actions
01

Stabilize the payments namespace by fixing cluster capacity issues first: remediate MemoryPressure on aks-system-000001, add memory capacity if needed, and resolve the payments-api scheduling failures and CrashLoopBackOff.

02

Investigate and correct the payments-api image deployment failure by validating the ghcr.io/acme/payments:bad image tag and registry access, then redeploy a known-good version.

03

Reduce exposure and blast radius for the payments workload by confirming the public LoadBalancer is intended, then add default-deny NetworkPolicies and move payments-api to a dedicated least-privilege service account with token automount disabled if possible.

Kubernetes namespace
cluster:aks-payments-prod:namespace:payments
Hostname snapshot: aks-payments-prod · Kubernetes (aks)
Artifact family
Kubernetes bundle
kubernetes-bundle
Source
api
Mar 26, 11:48 PM
Artifact source
signalforge-collectors:collect-kubernetes-bundle.sh
Collector
signalforge-collectors
1.1.0
Target ID
cluster:aks-payments-prod:namespace:payments
Collected at
Mar 26, 11:47 PM
Findings
14
7
high
7
medium
Run status
complete
Analysis completed successfully for this artifact snapshot.
Primary operator signal

Cluster Capacity Snapshot

Quantitative node-capacity signals and scheduling headroom captured directly from the Kubernetes bundle.

Needs action
Scope
Namespace payments
aks-payments-prod
Peak memory
0.0%
No node above 80%
Peak CPU
0.0%
Scheduling warnings present
Node pressure
1
Nodes with NotReady or pressure conditions
Operator summary

Cluster Guardrails

Autoscaling, disruption, quota, and namespace-default coverage that changes how operators should interpret capacity signals.

Stable context
HPAs
0
No HPA objects captured
Blocked PDBs
0
PDBs with zero allowed disruptions
Quota pressure
0
Quota resources at or above 90%
LimitRange coverage
0/0
Namespaces with default limits and requests
Pending claims
0
PersistentVolumeClaims still pending
Operator summary

Workload Instability

Short, operator-oriented callouts for scheduling, rollout, and failing-workload evidence.

Needs action
Scheduling pressure
0/3 nodes are available: 3 Insufficient memory.
Scheduling pressure
4 warning events captured in the bundle.
Image pull failure
2 warning events captured in the bundle.
Operator summary

Run Health Summary

A compact operator view of severity and signal distribution before you drop into detailed findings.

Needs action
Critical + high
7
Needs operator attention
Instability & pressure
5
Operational signal count
Identity & access
7
RBAC, tokens, service accounts, secrets
Exposure
2
Public reachability and listener posture
Findings table controls

Filter the findings table by signal or severity while keeping the current visible count in view.

14 of 14 visible·All signal buckets·All severities
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Detailed review

Findings

14 findings
Analysis narrative
Full narrative summary

Expanded explanation for operators who want the model summary after reviewing the findings table.

  • The payments namespace has multiple high-severity exposure and availability issues, including an externally exposed LoadBalancer Service and no NetworkPolicy isolation.
  • Cluster health is degraded: one node is NotReady with MemoryPressure, and warning events show both scheduling failures and image pull failures for the payments-api workload.
  • The payments-api Deployment is unstable (CrashLoopBackOff) and is also missing several basic workload hardening and reliability controls such as probes, resource requests/limits, seccomp, and a read-only root filesystem.
  • Service account handling is overly permissive for an externally exposed workload because payments-api uses the default service account with token automount enabled.
  • Overall posture suggests an active reliability incident in the payments namespace with avoidable exposure and hardening gaps that increase blast radius if the workload is compromised.

Run Metadata

Identity
Run ID
dc49c7be
Artifact family
Kubernetes bundle
Normalized UTF-8 JSON manifest containing Kubernetes workload, exposure, RBAC, and status evidence.
Source type
API submit
api
Target ID
cluster:aks-payments-prod:namespace:payments
Source label
signalforge-collectors:collect-kubernetes-bundle.sh
Collection
Collector
signalforge-collectors
Collector version
1.1.0
Collected at
Mar 26, 11:47 PM
Analysis
Model
gpt-5.4-mini
Analysis time
26.3s
Tokens used
6,315

Environment Context

Target Host
aks-payments-prodKubernetes (aks)
Kernel
namespace:payments
Uptime
unknown