JANUS LogoJANUS

Air-Gapped Kubernetes Monitoring:
Full Visibility, Zero Data Tax

Comprehensive, on-premise observability across container workloads, control planes, and physical node infrastructure with zero cloud data taxes.

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Cluster: PROD-K8S-01 · v1.29.2 · 24 Nodes · 480 Pods Active
Workload / PodNamespaceRestartsStatus
ingress-nginx-controller-6d8ingress-nginx0Running
payment-gw-78df9b94-k98pprod-apps14CrashLoop
postgres-cluster-1database0Running
redis-sentinel-node-0caching1Running
analytics-batch-worker-4data-tier3OOMKilled
Physical Binding
Node: worker-04
Host IP: 10.10.6.24
Port: Gi1/0/8
Switch: TOR-SW-02
Cloud Egress: 0 B/s [Strict]
Node CPU: 18.4%
Workload Incident: payment-gw (CrashLoopBackOff)
OOMKilled (1024Mi)
Namespace: prod-appsNode: k8s-worker-04
Cause: Memory limit breached • Correlated with upstream DB latency
Physical Port Bound: TOR-SW-02:Gi1/0/8
K8s Control Plane Audit Engine
Audit Latency: 0.94s
API RBAC Drift:0 Unapproved Roles
Cloud Telemetry Egress:0.00 KB/s [Strict Air-Gap]

Measurable Cluster Reliability Without Cloud Tax

Telemetry Custody
100%
Air-gapped on-premise metric retention with zero pod manifests or logs streamed to SaaS clouds.
Custom Metric Tax
$0.00
Flat enterprise licensing with zero per-node, per-core, or per-metric billing penalties.
Hardware Attribution
< 500ms
Instant correlation from degraded container pod to host node IPAM and physical switch port.
Control Plane Audit
< 1.2s
Real-time parsing of Kubernetes API server audit events for security privilege escalations.

Container Infrastructure at Your Fingertips: Inspect, Correlate, and Stabilize at Cluster Speed

Explore how JANUS combines real-time cluster observability, converged physical hardware mapping, and unified GitOps/DevSecOps monitoring into a single sovereign platform.

Realize full cluster visibility without cloud data taxes or telemetry sprawl

JANUS Kubernetes Monitoring delivers comprehensive, on-premise observability across your container workloads, control planes, and node infrastructure. Deployed 100% within your private boundary on standard Ubuntu Server, JANUS continuously collects pod metrics, node health, cluster events, and container resource utilization without streaming sensitive workload metadata or logs to multi-tenant cloud platforms. With a flat licensing model, platform teams can monitor expanding microservices, dynamic namespaces, and ephemeral pods without per-node, per-core, or per-metric billing penalties.

✓
100% on-premise telemetry retention with zero external SaaS egress or phone-home telemetry
✓
Continuous ingestion of kubelet metrics, cAdvisor data, and Kubernetes event streams
✓
Flat predictable licensing eliminating per-node, per-core, and per-custom-metric surcharges
✓
Seamless support across vanilla upstream K8s, OpenShift, RKE2, k3s, and air-gapped enclaves
TELEMETRY EGRESS TAX
Zero per-metric or ingestion surcharges • 100% local database storage
$0.00
kubectl-telemetry-stream.log
Telemetry Stream
// JANUS Air-Gapped Kubernetes Telemetry Pipeline
[Cluster: PROD-K8S-CORE | Distribution: v1.29.2-upstream]
  ↳ Telemetry Channel: Local Mutual TLS (Internal Cluster CA)
  ↳ Node Exporter & cAdvisor: 24 Worker Nodes Ingested
  ↳ Cloud Telemetry Phone-Home: BLOCKED [0.00 KB/s Egress]
  ↳ Pod State Engine: 480 Active Pods Across 14 Namespaces
  ↳ Total Metric License Penalties: $0.00 [Flat Enterprise Model]
  ✓ Cluster Telemetry Pipeline Active [Air-Gap Verified]
Cluster Status: OperationalSovereign Metrics Ingestion

Deterministic Kubernetes Observability Pillars

Six core operational capabilities engineered for absolute telemetry custody, sub-second root-cause correlation, and rapid cluster control.

01

Maintain sovereign workload metrics — completely air-gapped and on-premise

Monitor production clusters and sensitive workloads without exposing internal service names, deployment manifests, or environment variables to external third-party SaaS vendors. JANUS ingests, aggregates, and visualizes all cluster metrics, node statuses, and Kubernetes API audit logs strictly within your private boundary, fulfilling strict air-gap compliance and operational data sovereignty requirements.

02

Automate dynamic pod and node health tracking

Eliminate visibility blind spots caused by ephemeral microservices. Monitor CPU utilization, memory pressure, disk I/O, network throughput, and kubelet conditions (Ready, DiskPressure, MemoryPressure) across worker and control plane nodes, while catching stuck deployments, persistent CrashLoopBackOff cycles, failed scheduling attempts, and container OOM kills in real time.

03

Ingest Kubernetes API server audit logs natively

Audit administrative and automated actions across your cluster control plane. JANUS parses Kubernetes audit logs to flag privilege escalations, cluster-admin role bindings, unauthorized secret access, and modifications to critical ingress controllers or security context constraints without requiring external analytical tooling.

04

Harness unified workload history and capacity forecasting

Eliminate tribal knowledge and guesswork in capacity planning. JANUS tracks resource requests versus actual consumption over time, surfacing over-provisioned namespaces, under-utilized worker nodes, and persistent pod restart loops to help engineering teams optimize compute allocation and right-size resource limits.

05

Prioritize troubleshooting with integrated network and host correlation

Move beyond generic container error codes. When a microservice degrades, JANUS cross-references container logs, egress network flows, and node-level system events. Engineers immediately see whether downtime is caused by a failing upstream service dependency, an unapplied CNI policy, or saturated physical hardware.

06

Bridge cluster alerts directly to rapid infrastructure control

Turn cluster metrics into immediate administrative action. When an unapproved workload is scheduled or a rogue container triggers volumetric traffic spikes, JANUS provides actionable attribution back to the host node and network interface, allowing teams to cordon nodes, alert operators, or isolate traffic at the network boundary before the blast radius spreads.

Master Kubernetes in Air-Gapped Isolation

Deploy self-contained cluster telemetry via eBPF daemonsets in minutes. Zero egress fees, zero cloud dependencies.

Deploy on Ubuntu ServerSchedule Technical Walkthrough