Monitoring inputs

Your observability stack. Paxis' remediation layer.

Paxis runs alongside the tools you already trust. Bring in the metrics, logs, traces, and alert signals that explain what is happening; Paxis diagnoses the anomaly and carries the approved response through to resolution.

The signal path

Detect. Diagnose. Do.
A focused layer between your existing signal sources and the systems that need a response.
01

Signals in

Metrics, logs, traces, alerts

02

Context assembled

Diagnosis against your topology

03

Playbook out

A bounded remediation with an outcome

Source catalog

Keep the tools that already know your systems.

Start with the source closest to your workload, or layer Paxis into the observability estate you have built over time. The goal is a shorter path from useful signal to safe action — not another dashboard to maintain.

  • Primary connection
    01
    Kubernetes + Prometheus

    Metrics + traces

    Drop a lightweight sidecar into your cluster and point Paxis at the Prometheus endpoint you already run.

    Paxis streams the signals it needs for diagnosis without asking you to rewrite service code or replace your existing stack.

  • AWS signals
    02
    CloudWatch

    Metrics + alarms

    Bring AWS metrics and CloudWatch alarm signals into the same diagnosis and playbook flow.

    CloudWatch keeps doing the monitoring work. Paxis receives the signal, evaluates the context, and acts on an approved response.

  • APM stream
    03
    Datadog

    Metrics + traces + alerts

    Keep your Datadog dashboards and alerting in place while Paxis owns the detection-to-remediation leg.

    There is no rip-and-replace project: the observability signals you already collect become inputs to bounded playbooks.

  • APM stream
    04
    New Relic

    Metrics + traces + alerts

    Route existing New Relic observability signals into Paxis when a diagnosis needs more than an alert page.

    Paxis complements your APM workflow by carrying an actionable signal through diagnosis, execution, and outcome.

  • Team integration
    05
    Dynatrace

    APM + alerts

    Use Dynatrace as an upstream observability source for the Team-tier closed-loop remediation flow.

    Keep the source of truth you trust for application health while Paxis handles the approved response path.

  • Log signals
    06
    Splunk

    Logs + search alerts

    Feed Splunk log and search alert output into the same diagnosis and remediation loop.

    A useful log signal should not stop at search results. Paxis turns it into a traceable playbook execution with guardrails.

  • Open stack
    07
    Grafana ecosystem

    Metrics + logs + traces

    Run Paxis alongside Grafana, Prometheus, Loki, Influx, and Tempo signals or alert output.

    Grafana remains your visualization and exploration layer; Paxis adds the remediation path after a meaningful signal appears.

A clear boundary

Inputs are not destinations.

Your monitoring tools surface the situation. Paxis is the orchestration layer that decides what to do next and records whether the system recovered.

Inbound signals
Metrics, logs, traces, alerts
Prometheus, CloudWatch, APM platforms, Splunk, and the Grafana ecosystem can all remain the source of monitoring truth.
Outbound outcomes
Remediation and notification
Approved playbooks run against the problem, while Slack, PagerDuty, or a generic webhook can receive the result and keep people in the loop.
Connect the loop

Keep your observability. Close the response gap.

Start with a workload you understand, connect the signals you already collect, and see what a bounded remediation loop feels like in your own environment.