How does HyperObserve monitor Kubernetes clusters?

HyperObserve deploys as a DaemonSet in your Kubernetes cluster, automatically monitoring all pods, services, and nodes. It captures pod-to-pod communication, service mesh traffic, resource usage, and application performance without any sidecars or admission webhooks. You get instant visibility into your entire cluster with a single YAML deployment.

Kubernetes

Kubernetes Monitoring Without Sidecars

Complete Kubernetes observability using eBPF technology. Monitor every pod, service, and node without deploying sidecar containers. Get distributed tracing, metrics, and logs from a single lightweight DaemonSet.

Deploy to Kubernetes Watch Demo

Zero

Sidecar Containers

DaemonSet

Deployment Model

eBPF

Technology

5min

To Full Visibility

Complete K8s Observability

Monitor your entire Kubernetes stack without modifying any deployments

eBPF-Native Monitoring

Deploy as DaemonSet with kernel-level visibility into all pods without sidecars or agents

Automatic Service Discovery

Discover and monitor all services, deployments, and pods automatically via Kubernetes API

Full-Stack Observability

Monitor applications, containers, nodes, and cluster health from a single platform

Network Policy Aware

Understand service-to-service communication and enforce network policies with eBPF

Resource & Cost Tracking

Track CPU, memory, network usage per pod, namespace, and label for cost allocation

Service Mesh Support

Native monitoring for Istio, Envoy, Linkerd, and Consul without any configuration

Deploy in One Command

# Deploy HyperObserve to your cluster
kubectl apply -f https://install.hyperobserve.io/kubernetes/daemonset.yaml

# Or use Helm
helm repo add hyperobserve https://charts.hyperobserve.io
helm install hyperobserve hyperobserve/agent \
  --set apiKey=YOUR_API_KEY \
  --namespace hyperobserve \
  --create-namespace

Deploy DaemonSet

Single YAML deploys to all nodes

Automatic Discovery

Finds all services and pods instantly

Start Monitoring

Full visibility in under 5 minutes

How It Works

eBPF Programs Load

Our DaemonSet loads eBPF programs into the kernel on each node, providing visibility into all network traffic, system calls, and container activity without any overhead.

Automatic Service Discovery

Using the Kubernetes API, we discover all services, deployments, pods, and their relationships. Service mesh configurations are automatically detected.

Real-Time Monitoring

Every request, database query, and inter-service call is captured and correlated into distributed traces. Metrics are collected per pod, service, and namespace.

What We Monitor

Pod lifecycle monitoring (create, update, delete)

Container metrics (CPU, memory, network, disk)

Service discovery and dependency mapping

Ingress and egress traffic monitoring

Distributed tracing across microservices

Kubernetes event correlation

Node health and resource utilization

Namespace and label-based monitoring

ConfigMap and Secret change tracking

Automatic dashboard generation per service

Monitor Kubernetes Without Sidecars

Deploy once, monitor everything. No pod modifications required.

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Frequently Asked Questions

Everything you need to know about zero-instrumentation monitoring and HyperObserve

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