K8s Fault Analyzer (Lite Edition) v2.1.1

This is a deterministic Kubernetes incident diagnostics engine powered by the PBRCIM (Pattern-Based Root Cause Isolation Model) framework. It analyzes cluster logs to isolate workload, networking, scheduling, storage, runtime, and infrastructure failures in under 10ms. It is a secure, offline lightweight engine that requires zero APIs and zero cloud dependency.

Why deterministic offline log analysis matters

Kubernetes diagnostics should be private by design, consistent by execution, and transparent in their classification logic.
Data Privacy / Controlled Data Handling: Analyze cluster logs locally without sending them to external LLM APIs or relying on a cloud-based analysis service. Support data-minimization strategies when handling sensitive infrastructure information.
Rule-Based Classification: My Pattern-Based Root Cause Isolation Model (PBRCIM) framework applies predefined diagnostic rules to supported Kubernetes failure patterns in K8s Fault Analyzer (Light Edition) v2.1.1. Its classifications follow explicit matching logic rather than free-form, AI-generated explanations.
Repeatable Diagnostic Results: The same input evaluated against the same rules produces consistent classification results with zero hallucinations, providing engineers with a repeatable starting point for investigation and root-cause analysis.

K8s Fault Analyzer (Light Edition) v2.1.1 - Screenshot

K8s Fault Analyzer v2.1.1 screenshot

See the Analyzer in Action

⚡ Live Proof: Watch a quick demo of the instant analysis of a raw K8s incident log executed locally & offline under 10ms . You can pause and study the crash log at the start of the brief video and also the diagnose result output from the tool while watching

Proprietary Engine & DaaS Architecture

The K8s Fault Analyzer (Lite Edition) v2.1.1 is an offline, air-gapped diagnostic utility engineered as a proprietary internal asset. Rather than relying on cloud LLM APIs or generic scripts, we deploy this deterministic parser to power CursorLord Systems Managed K8s Incident Response, delivering sub-second root-cause post-mortems for production outages.

Sub-10ms Offline Triage Zero Data Leakage Formal PBRCIM Post-Mortem

Kubernetes Fault vectors handled by the K8s Fault Analyzer (Light Edition) v2.1.1

This elite tool covers 10 focused fault vectors and diagnoses around 80% of the daily crash scenarios SREs actually face in production (Memory/OOM, Registry/Auth, mTLS, Storage Mounts, RBAC, Admission Webhooks, Node Pressure, Probe Drops, etc.)

K8s Fault Vector

Kernel Resource Eviction (OOMKilled)

Detection pattern:
OOMKilled + Exit 137

K8s Fault Vector

API Server Mutation & Admission Control Drop

Detection pattern:
admission webhook.*denied | failed calling webhook

K8s Fault Vector

Image Registry Security & Authentication Divergence

Detection pattern:
ImagePullBackOff | ErrImagePull + Failed to pull image | unauthorized

K8s Fault Vector

Scheduling Allocation & Topology Starvation

Detection pattern:
FailedScheduling + Insufficient cpu | memory | 0/.* nodes available

K8s Fault Vector

Workload Configuration & Secret Resolution Failure

Detection pattern:
MountVolume.*failed | configmap.*not found | secret.*not found

K8s Fault Vector

Cluster RBAC Enforcement

Detection pattern:
forbidden:.*cannot | serviceaccount.*cannot list | create | RBAC

K8s Fault Vector

Storage Attaching & Persistent Volume Drift

Detection pattern:
persistentvolumeclaim.*Pending | FailedAttachVolume | no persistent volumes available

K8s Fault Vector

Node Readiness & Kubelet Infrastructure Failure

Detection pattern:
Node.*NotReady | Kubelet.*PLEG is not healthy | NodeReady.*False

K8s Fault Vector

Node Ephemeral Storage Exhaustion & Disk Pressure

Detection pattern:
DiskPressure | Evicted.*ephemeral-storage | no space left on device

K8s Fault Vector

Control Plane Certificate Expiration & TLS Handshake Failure

Detection pattern:
x509: certificate has expired | tls:.*handshake failure | certificate.*expired

What the K8s Fault Analyzer (Lite Edition) v2.1.1 Delivers

The clean, ready-to-copy, post-mortem report from the tool includes:

  • Categorical Diagnosis: Image Registry Security & Authentication Divergence (401/403)
  • Exact Extracted Telemetry: Pod Image Node Registry Namespace
  • Diagnostic Commands: kubectl describe crictl pull kubectl create secret

Need help isolating a difficult failure?

I build deterministic diagnostic tools and help teams investigate complex production incidents. My focus is on structured log analysis, root-cause isolation, and deep-systems troubleshooting.

Available for debugging engagements, incident analysis and custom diagnostic tooling.

How to share your logs safely

Please strip out sensitive details before sending your log snippet. Replace private internal URLs, API tokens, passwords, public IP addresses, customer data, or credentials with simple dummy values (e.g., postgres://user:XXXXX@internal-db:5432/db or ip-10-0-x-x). Standard Kubernetes event names, pod names, and stack traces can remain intact.

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