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OpenMetrics Supported Environments

OpenAgent is a Language-Agnostic agent that can collect from any endpoint exposing Prometheus / OpenMetrics format, regardless of language or framework. It is provided as a single binary compiled in Go and can run on Linux hosts or Kubernetes clusters without installing a separate runtime.

This document summarizes the operating systems, Kubernetes versions, scraping targets, network requirements, and more that OpenAgent officially supports.

Agent execution types

PlatformSupportNote
Single binary (Linux)AMD64 / ARM64
Windows native binaryNot supported
macOS (Apple Silicon)Not supported

Separate runtime requirements

Since OpenAgent is a static binary built in Go, there is no need to separately install runtimes such as JVM, Node.js, or Python.

Operating system (OS)

Linux

ArchitectureSupportDownload URL
x86_64 / AMD64 (Intel, AMD 64-bit)https://repo.whatap.io/openagent/latest/amd/openagent
ARM64 / AArch64 (Linux ARM processor)https://repo.whatap.io/openagent/latest/arm/openagent
x86 (32-bit)-

Distribution compatibility

Operates on major Linux distributions based on glibc.

DistributionVersion
Red Hat Enterprise Linux / CentOS / Rocky / AlmaLinux7.x or later
Ubuntu18.04 LTS or later
Debian10 or later
Amazon Linux2 / 2023
SUSE Linux Enterprise Server12 or later

Unsupported platforms

  • Windows (including Windows Server)
  • macOS (Intel and Apple Silicon)
  • FreeBSD, OpenBSD, and other Unix variants

Container environments

Docker

PlatformSupport
Docker Engine 20.x or later
containerd 1.6 or later
CRI-O

Scraping targets (Exporter)

OpenAgent can collect from all Exporters and applications that expose Prometheus /metrics endpoints.

Supported metric formats

FormatSupportNote
Prometheus Exposition Format (text)Default
OpenMetrics Text Formatapplication/openmetrics-text
ProtobufNot supported

Representative supported Exporters (examples)

CategoryExporter
System / Hostnode_exporter, windows_exporter
Kuberneteskube-state-metrics, kubelet, cAdvisor, kube-apiserver
Databasemysqld_exporter, postgres_exporter, redis_exporter, mongodb_exporter
Message queuekafka_exporter, rabbitmq_exporter
Web servernginx-prometheus-exporter, apache_exporter
GPU / AIdcgm-exporter (NVIDIA)
Cloudcloudwatch_exporter, azure_metrics_exporter
ApplicationSpring Boot Actuator, Micrometer, OpenTelemetry Collector
Note

Exporters not listed in the table can mostly be collected as long as they follow the Prometheus text format.

Target discovery methods

TypeDescriptionEnvironment
StaticEndpointsDirect specification of fixed IP:PORTHost / Kubernetes (common)
PodMonitorDynamic discovery based on Pod label selectorsKubernetes
ServiceMonitorDynamic discovery based on Service label selectorsKubernetes
ItemMinimumRecommended
CPU0.1 core0.5 core or more
Memory128 MB256 MB or more
Disk1 GB (including logs)5 GB or more

Measurement basis: 10 endpoints, approximately 100 time series per endpoint (approximately 1,000 time series total), 60-second collection interval. Under these conditions, actual measured usage is CPU average 0.003 core, memory approximately 50 MB. Minimum specifications are conservative values that account for burst and expansion headroom.

Actual resource usage by endpoint count

Results measured by scraping the same Exporter (83 time series per endpoint) at a 60-second collection interval while increasing the number of endpoints.

EndpointsTotal time series / minCPU averageMemory (RSS)
1830.002 coreapprox. 31 MB
108300.003 coreapprox. 52 MB
1008,3000.010 coreapprox. 70 MB

Scale guide

  • Resource usage scales with total time series count, not number of endpoints. Up to approximately 10,000 total time series (e.g., 100 endpoints × 100 time series, 60-second interval) operates within minimum specifications.
  • For exporters like node_exporter or kube-state-metrics with thousands of time series per endpoint, calculate based on total time series count rather than endpoint count.
  • Reducing the collection interval (e.g., 60s → 15s) increases CPU usage proportionally for the same number of time series.
  • In environments collecting hundreds or more targets or high-cardinality Exporters, CPU/Memory specifications may need to be increased.

CPU recommendation (0.5 core) note

Although average CPU usage is very low (approximately 0.003 core), the reason for recommending 0.5 core or more is bursting. At scraping time, requests and parsing for all collection targets arrive simultaneously. In Kubernetes, limiting limits.cpu to 0.1 core can cause this burst to be throttled, resulting in scraping delays and timeouts. Therefore, even if requests.cpu is 0.1 core, we recommend setting limits.cpu to 0.5 core or more.

Common supported environment

Service deployment models

You can use WhaTap Monitoring as a SaaS or on-premises (self-hosted) service. Whichever you choose, you use the same agents and the same monitoring features.

DeploymentSupportDescription
SaaSConnects to collection servers operated by WhaTap. See the firewall section for regional addresses
On-premises (self-hosted)Collection servers you build and operate yourself (air-gapped environments supported). Contact your sales representative for the scope
Info

You can also deploy WhaTap on-premises in air-gapped environments without internet connectivity.

Feature differences by deployment model

Whichever you choose, the monitoring features are the same. The mobile app is the only exception and is available on the service.whatap.io SaaS service only.

Note

To use certain features on-premises, a separate agreement is required.

Supporting the browser

WhaTap Monitoring is available in web browsers and mobile Apps.

BrowserRecommendedSupported version
Google Chrome111 or later
Mozilla FireFoxLatest version
EdgeLatest version
SafariLatest version
Note

Support guidance

  • For browser compatibility and performance reasons, the latest version of Chrome is recommended.
  • The user interface (UI) is implemented using HTML5 standard technologies, so Internet Explorer is not supported.
Caution

Limitations

WhaTap’s web interface does not support mobile browsers. To access WhaTap on a mobile device, install the WhaTap app for Android or iOS. The WhaTap mobile app is optimized for mobile environments. For more information about the WhaTap mobile app, see this document.

Firewall

The WhaTap agent must be able to access the collection server through TCP port 6600. Allow access to the collection server address that is closest to the monitored target.

Source: WhaTap agent

CloudDestinationDestination IPPort
AWSWhaTap collection server (Seoul)13.124.11.223 / 13.209.172.35TCP 6600
WhaTap collection server (Tokyo)52.68.36.166 / 52.193.60.176TCP 6600
WhaTap collection server (Singapore)18.138.0.93 / 18.139.67.236TCP 6600
WhaTap collection server (Jakarta)108.136.91.69 / 108.137.158.44TCP 6600
WhaTap collection server (Thailand)43.209.109.219 / 43.209.48.86TCP 6600
WhaTap collection server (Mumbai)13.127.125.69 / 13.235.15.118TCP 6600
WhaTap collection server (California)52.8.223.130 / 52.8.239.99TCP 6600
WhaTap collection server (Virginia)107.23.220.101 / 54.236.221.105TCP 6600
WhaTap collection server (Frankfurt)3.125.142.162 / 3.127.76.140TCP 6600
AzureWhaTap collection server (Seoul)52.231.66.38 / 20.194.5.115TCP 6600
WhaTap collection server (Tokyo)52.246.169.54 / 20.210.27.232TCP 6600
KakaoWhaTap collection server (Seoul)61.109.237.237 / 61.109.238.166TCP 6600

If the agent cannot directly access the collection server, use the provided proxy module to access it.

Proxy