Make Kubernetes invisible. Focus on your application, not the orchestrator.
Instantly detects CrashLoopBackOff, ImagePullBackOff, and other common pod errors, explaining the cause.
Analyzes actual vs requested CPU/RAM usage and auto-generates right-sized requests and limits.
Identifies which processes are being killed for memory violations and why, correlating to specific workloads.
Monitors node pressure, disk usage, and network saturation, ensuring your cluster foundation is solid.
Debugs service-to-service communication failures, DNS issues, and Ingress misconfigurations.
Flags privileged containers, missing security contexts, and vulnerable images running in your cluster.
Visualizes Istio/Linkerd traffic flows, identifying latency bottlenecks and mTLS configuration errors.
Monitors PVC usage, capacity, and IOPS, alerting before disk exhaustion causes pod eviction.
Troubleshoots 502/503 errors from Nginx/ALB controllers, checking service selector matches and certificates.
Expert-level Kubernetes management, automated.
Visualizes your entire cluster topology, showing the health of namespaces, deployments, and pods.
Analyzing deployment manifests for best practices and automatically fixing syntax or config errors.
Correlating K8s events (SchedulingFailed, BackOff) with application logs for deeper context.
Identifies idle resources and over-provisioned workloads to reduce cluster costs.
Works seamlessly with the Cloud Native Computing Foundation (CNCF) ecosystem.
ECR, Docker Hub, GCR, ACR, Harbor
ArgoCD, Flux, Jenkins X
Istio, Linkerd, Consul Connect
Amazon EKS, Google GKE, Azure AKS, DigitalOcean K8s
EBS, EFS, Google Persistent Disk, Rook/Ceph
OPA Gatekeeper, Kyverno, Falco
Prometheus, Grafana, Loki, Thanos
Nginx, Traefik, HAProxy, AWS ALB
Terraform, Ansible, Pulumi, Crossplane
Scaling Kubernetes with confidence.
Auto-Right Sizing
Problem: Development clusters were massively over-provisioned. Solution: The K8s Observability Agent analyzed usage over 2 weeks and applied right-sized resource requests to 400+ deployments.
"We didn't realize how much we were wasting. The agent paid for itself in a day."
— CTO, RetailTech
Unified Control
Problem: Managing 50+ clusters across 3 regions was chaotic. Configuration drift caused frequent outbursts. Solution: The agent unified visibility and automatically flagged config drift across clusters.
"It's like having a dedicated SRE for every single cluster, working 24/7 without coffee breaks."
— VP of Infrastructure, SoftwareCo
Security & Audit
Problem: Audit preparation was a manual nightmare of checking container privileges. Solution: The agent continuously scanned for non-compliant configurations (e.g. running as root) and auto-generated audit reports.
"We passed our audit with zero findings. The auditor was impressed by the automated compliance reports."
— CISO, HealthTech Solutions
High Availability
Problem: Kubernetes version upgrades frequently caused minor outages. Solution: The agent pre-checked upgrade compatibility and monitored rollout health, pausing it instantly when error rates spiked.
"We upgraded our entire fleet during peak hours without a single player disconnection."
— Lead Engineer, GameStudio
Transform your cluster management with intelligent automation that works 24/7 to ensure stability, efficiency, and security.