Agent-based Host Metrics
Deploy our binary agent on Linux or macOS to automatically capture CPU, RAM, Disk, and Network IO without any code changes.
Uptime checks, traces, errors, logs and host metrics in one place. SDKs for Go, TypeScript, Python and Rust, an agent that reports every 60 seconds, and correlation that runs on rules first and a model second.
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The trace, the logs it produced, the errors it threw and the host it ran on all share one id. Open any of them and you have the other three.
The SDKs speak OTLP over protobuf, so anything you already instrumented with OpenTelemetry keeps working. HTTP middleware is one line; the rest happens on its own.
Deploy our binary agent on Linux or macOS to automatically capture CPU, RAM, Disk, and Network IO without any code changes.
We automatically correlate slow traces and errors with infrastructure spikes to give you the "Why" instantly.
Set up failure thresholds per service. Get notified via Email, Slack, Webhook, Jira, or WhatsApp.
Common questions from teams evaluating other observability and monitoring tools.
Yes. Middle Monitor unifies traces, metrics, logs and error tracking in one OpenTelemetry-native platform, with a free tier and transparent self-serve pricing as you scale — a common reason smaller engineering teams adopt it instead of Datadog.
Error tracking is one of four signals Middle Monitor correlates natively, alongside traces, metrics and logs — so teams comparing Sentry, Rollbar or Bugsnag often adopt it to get error tracking and full-stack observability in a single platform.
Middle Monitor's agent captures CPU, memory, disk and network metrics automatically on Linux and macOS, without the manual check configuration typical of Icinga, Nagios or Zabbix, plus HTTP, ping, SQL, certificate and SNMP checks with built-in alerting.
Teams that find Dynatrace, New Relic or AppDynamics priced and scoped for large enterprises use Middle Monitor for the same core APM workflow — distributed tracing, root cause analysis and alerting — on a simpler, self-serve platform.
Middle Monitor is OpenTelemetry-native, so it ingests the same trace, metric and log data you'd otherwise send to a self-hosted Prometheus, Grafana, Jaeger or Zipkin stack, correlated automatically in one place.
Middle Monitor collects application logs through the same SDK that handles your traces and errors, and each log carries the trace id of the request that produced it — so you move from a log line to the full request instead of correlating timestamps by hand across a separate search cluster like Splunk or an Elastic (ELK) stack.
Middle Monitor includes HTTP, ping, SQL, certificate and SNMP checks with incident alerting in the same platform as your traces and logs, so you don't need a separate uptime tool like Pingdom, UptimeRobot or Better Stack.
A minimal payload, sent to Groq: the error name and message, file and line, service name, timestamp, and the HTTP method and URL of the failing request — plus the status, type and target of a failing check. Request bodies, HTTP headers and organization identifiers are stripped before the call, and log contents are never transmitted: only their count is. Infrastructure explanations such as CPU or disk saturation are produced by deterministic rules and never reach a model at all.
Yes. The platform, the agent and the SDKs are on GitHub (github.com/middle-monitor/middle-monitor) under the FSL-1.1-ALv2 license: free to use, modify and self-host for any purpose except offering it as a competing commercial service, and each release becomes Apache 2.0 after two years. One Docker Compose file starts the whole stack, and a self-hosted instance has no plan limits.