can gromitor monitor both docker and kubernetes on the same host?

yes. some setups run docker containers alongside a kubernetes cluster on the same node (for example, docker-based tooling on a kubernetes worker node). gromitor reports metrics for both runtimes if both are present on the host.

how does gromitor handle kubernetes clusters across multiple cloud providers?

each cluster gets its own agent DaemonSet. all clusters report to the same gromitor backend and appear in the same dashboard. you can filter by cluster name or cloud region to narrow the view.

is there a limit to the number of hosts or clusters i can monitor?

the free tier covers a reasonable number of hosts for evaluation. paid tiers cover larger fleets. check the product page for current limits. there's no hard architectural limit — gromitor is designed to scale across many hosts.

do i need to configure anything differently for docker vs. kubernetes monitoring?

the agent auto-detects the runtime. on a docker host, you run it as a container with read-only Docker socket access. on kubernetes, you apply a DaemonSet manifest that grants read access to the kubelet API. the backend handles the rest — you see metrics in the same dashboard without any additional configuration.

why your devops team needs cross-platform container monitoring saas

use case9 june 2026· 6 min read

most devops teams run both docker and kubernetes — some services containerized with plain docker, others orchestrated by Kubernetes, often across multiple cloud providers. managing separate monitoring tools for each runtime creates fragmentation: different metric formats, different dashboards, different alert systems. a cross-platform container monitoring SaaS like gromitor gives you live cpu, memory, network i/o, and disk i/o for both docker and kubernetes in one place, with one alert system.

the hybrid container reality for most teams

kubernetes adoption is widespread, but it rarely means 100% of workloads move to kubernetes. developer tooling, CI runners, small internal services, legacy databases, and batch jobs frequently stay on plain docker hosts because migrating them to kubernetes has a cost that isn't worth paying. the result: most teams have a mix.

that mix creates a monitoring problem. your kubernetes clusters are (maybe) monitored by metrics-server or a Prometheus stack. your docker hosts are monitored by... something else? docker stats? cloud provider native monitoring? nothing? the fragmentation means you have multiple mental models, multiple dashboards, and multiple alerting systems to keep in sync.

what unified monitoring actually saves you

when docker and kubernetes metrics are in the same place, correlation becomes easy. if you're seeing high network i/o on a kubernetes service that calls a downstream docker-based API, you can check both sides in the same view. you don't have to switch tools, translate metric names, or remember which dashboard shows which runtime.

on-call engineers benefit especially. at 2am when something is wrong, having one place to look and one alert format to parse reduces cognitive load at exactly the moment when you have the least of it to spare.

how gromitor handles cross-platform monitoring

gromitor uses the same agent binary for both docker and kubernetes deployments. on a docker host you run it as a container. on a kubernetes cluster you apply a DaemonSet manifest. the agent detects the runtime and collects the appropriate metrics — Docker stats API for docker, kubelet summary API for kubernetes.

in the gromitor dashboard, hosts and clusters appear in a unified view. you can filter to see only docker hosts, only kubernetes namespaces, or everything together. the metric schema is consistent: cpu, memory, network i/o, and disk i/o use the same names, units, and visualization regardless of whether the source is a docker container or a kubernetes pod.

same agent, same dashboard, same alert system for docker and kubernetes
filter by runtime, host, cluster, or namespace from one view
consistent metric naming and units across both runtimes
add a new host or cluster by running one command — it appears in the dashboard immediately
alerts work across runtimes: one alert rule can cover containers by name regardless of whether they run in docker or kubernetes

practical scenarios where cross-platform visibility matters

consider a common scenario: a kubernetes-based API service is responding slowly. you check the api pod — cpu and memory look normal. but the api calls a data processing service running on a docker host. without cross-platform monitoring you now have to pivot to a different tool to check the docker container. with gromitor, you stay in the same dashboard, click to the docker host, and see that the processing container is cpu-throttled because it hit its cpu limit.

another common scenario: a docker-based CI runner is building and pushing container images to a registry. the build pushes large layers, causing a network tx spike on the docker host. if that spike coincides with degraded performance for a kubernetes service that's also pulling from the same registry, the correlation is obvious in a cross-platform view.

evaluating cross-platform monitoring tools

when evaluating any cross-platform monitoring solution, the key questions are: does it give you per-container granularity on both runtimes (not just host-level aggregates)? does it use a consistent metric schema so you can write one alert rule that applies to both? and does it add acceptable overhead to your hosts — under 2–3% cpu is the practical threshold for 'lightweight'?

gromitor is built specifically for this use case: container resource monitoring across docker and kubernetes, with per-container granularity, consistent metrics, and sub-2% host overhead. for the full architecture and comparison with self-hosted tools, see the agent-based vs. open-source container monitoring article.

see this on your own containers

gromitor gives you real-time docker + kubernetes monitoring from one lightweight agent — no open-source tools to deploy.

get started, it's free how gromitor works

faq

can gromitor monitor both docker and kubernetes on the same host?: yes. some setups run docker containers alongside a kubernetes cluster on the same node (for example, docker-based tooling on a kubernetes worker node). gromitor reports metrics for both runtimes if both are present on the host.
how does gromitor handle kubernetes clusters across multiple cloud providers?: each cluster gets its own agent DaemonSet. all clusters report to the same gromitor backend and appear in the same dashboard. you can filter by cluster name or cloud region to narrow the view.
is there a limit to the number of hosts or clusters i can monitor?: the free tier covers a reasonable number of hosts for evaluation. paid tiers cover larger fleets. check the product page for current limits. there's no hard architectural limit — gromitor is designed to scale across many hosts.
do i need to configure anything differently for docker vs. kubernetes monitoring?: the agent auto-detects the runtime. on a docker host, you run it as a container with read-only Docker socket access. on kubernetes, you apply a DaemonSet manifest that grants read access to the kubelet API. the backend handles the rest — you see metrics in the same dashboard without any additional configuration.

keep reading

← all guides try gromitor