Unified Monitoring Dashboard with Auto-Remediation

Hard~24h estimatedTechnologySaaSFinance
Prometheus MCP ServerGrafana MCP ServerDatadog MCP ServerSlack MCP Server
The Challenge

Business Problem

Teams use 5-10 different monitoring tools. When an alert fires, engineers switch between dashboards gathering context. There's no single pane of glass for system health.

The Approach

Solution Overview

Connect Prometheus, Grafana, and Datadog MCP Servers with Slack to create a unified monitoring agent that correlates signals across tools and runs remediation playbooks.

Step-by-Step

Implementation Steps

1

Aggregate Metrics

Pull key metrics from Prometheus, Datadog, and application health endpoints into a unified model.

2

Correlate Signals

When one metric degrades, automatically check related metrics across other tools for correlation.

3

Execute Playbooks

For known patterns, automatically run remediation steps.

async function handleAlert(alert) {
  const context = await gatherCrossToolContext(alert);
  const playbook = matchPlaybook(alert, context);
  if (playbook) {
    await executePlaybook(playbook, context);
    await slack.sendMessage({ channel: '#ops', text: `Auto-remediated: ${alert.name} using playbook '${playbook.name}'` });
  } else {
    await slack.sendMessage({ channel: '#ops', text: `Manual investigation needed: ${alert.name}\n\nContext:\n${formatContext(context)}` });
  }
}
4

Track Resolution Metrics

Log MTTR, auto-remediation success rate, and alert-to-resolution times.

Code

Code Examples

typescript
Cross-Tool Correlation
async function gatherCrossToolContext(alert) {
  const [promMetrics, ddMetrics, appHealth] = await Promise.all([
    prometheus.query({ query: `rate(http_errors_total{service='${alert.service}'}[5m])` }),
    datadog.queryMetrics({ query: `avg:system.cpu.user{service:${alert.service}}`, from: '-15m' }),
    fetch(`${alert.service}/health`).then(r => r.json())
  ]);
  return { promMetrics, ddMetrics, appHealth, alert };
}

Overview

ComplexityHard
Estimated Time~24 hours
Tools Used
Prometheus MCP ServerGrafana MCP ServerDatadog MCP ServerSlack MCP Server
Industry
TechnologySaaSFinance

ROI Metrics

Time Saved20 hours/week
Cost Reduction70% faster incident resolution
Efficiency GainSingle pane of glass for all monitoring

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