Deploy a lightweight agent in 60 seconds. No cloud credentials required. Get full visibility into your infrastructure, CPU, memory, logs, and alerts, in minutes.
From single Docker hosts to multi-cluster Kubernetes environments.
Full visibility into every container, CPU, memory, network I/O, live log streaming, and restart tracking.
Understand your cluster at a glance. Track pods, nodes, services, and resource usage without leaving your browser.
Know before your users do. Set threshold rules, route to Slack or email, and silence noisy alerts intelligently.
Close the loop from watching to acting. Scale Kubernetes pods and Docker containers on the metrics you already track, from one policy.
Monitor the services around your apps. Connect databases, caches, message queues, CI/CD, and observability tools with live health and deep metrics.
Run HTTP load tests against any endpoint and read real latency percentiles, throughput, and a full success and error breakdown.
Every container and node streams CPU, memory, network, and request throughput to high-resolution time-series charts. Zoom from the last minute to the last year without sampling gaps.
Define threshold rules on any metric, route them to Slack or email, and let intelligent silencing cut the noise. A full audit trail shows every fire and resolution.
Track every model call: tokens, latency, error rate, and spend, with a built-in price table for OpenAI, Anthropic, and more. Watch GPU utilization and scrape vLLM, Triton, and KServe inference servers from the same agent.
Report application API requests to see throughput, error rate, and p95 latency per route. Synthetic probes measure latency to your services, nodes, and the agent itself, with uptime tracking.
Point any OpenTelemetry SDK or Collector straight at KubeWatch. We ingest traces, metrics, and logs over OTLP/HTTP, decoding both Protobuf and JSON, so your existing instrumentation works with no rewrites and no vendor lock-in.
Set a per-workload policy and KubeWatch acts on the same metrics you already see. On Kubernetes it writes native HorizontalPodAutoscaler and Karpenter objects and lets the cluster execute them. On standalone Docker, where there is no HPA, KubeWatch is the orchestrator: it picks placement, scales containers, and routes traffic through a managed load balancer.
Your containers are only half the picture. Connect the databases, caches, message queues, CI/CD, and observability tools around them, and KubeWatch tracks their health, latency, and uptime, then pulls deep per-service metrics like connection pools, cache hit rates, and replication lag.
Point a load test at any URL, pick the concurrency and duration, and KubeWatch runs it and reports the numbers that matter: throughput, latency percentiles, and a full breakdown of every response so you can see exactly what succeeded and what failed.
Full visibility across Docker and Kubernetes, from a single node to multi-cluster fleets.
No complex setup. No cloud IAM roles. Just deploy and watch.
Create your account with just your email. No credit card, no sales call, no waiting.
Run a single Docker or Helm command on your host. The agent securely streams metrics to your dashboard.
Within minutes you have a live view of every container and node, CPU, memory, logs, and more.
Choose the deployment model that fits your team.
Free to start. We manage the infrastructure.
Enterprise plan. Your data stays in your infrastructure.
Start free. Upgrade when you need more.
Join engineering teams who replaced their scattered dashboards with one place for Docker and Kubernetes.