Permonitor

Permonitor is a system designed to provide real‑time visibility into the performance and health of applications, services, and infrastructure components. It collects metrics, logs, and traces from a wide range of sources—including operating systems, databases, web servers, and cloud services—and aggregates this information into unified dashboards and alerting rules. The platform supports both on‑premises and cloud‑native deployments and is often used in DevOps, Site Reliability Engineering, and IT operations contexts to detect anomalies, troubleshoot incidents, and enforce service level objectives.

The concept of permonitoring emerged in the early 2010s as organizations sought more granular, end‑to‑end observability beyond traditional system metrics. Early implementations were built on open‑source observability engines such as Graphite, Prometheus, and Jaeger, with many vendors offering proprietary add‑ons for specialized workloads. Over time, the ecosystem has grown to include integrations with container orchestration platforms (Kubernetes, Docker Swarm), serverless runtimes, and distributed tracing frameworks. The software typically exposes a RESTful API, a GraphQL query interface, and native plugins for configuration management tools like Ansible, Chef, and Terraform.

Common use cases for permonitor include monitoring CPU and memory utilization of microservice clusters, tracking request latency across API gateways, validating compliance of database queries against performance baselines, and automating incident response workflows. Because of its modular architecture, organizations can extend the base platform with custom exporters, alerting plugins, and visualization tools. The community around permonitor is active on forums, mailing lists, and public issue trackers, and many security advisories are addressed on a quarterly basis.

While metrics and tracing are fundamental to permonitor, the platform also emphasizes data retention policies, GDPR‑compliant handling of user information, and the option to run entirely within a private data center to satisfy regulatory constraints.