Having just spent the last quarter mapping our entire observability stack to a new incident management platform, I feel uniquely qualified to answer this with a resounding, "It depends, but probably not, and if you do, you've likely built a Rube Goldberg machine of alert routing."
The core of your question hinges on whether a "phenomenon" (let's call it an *event source*) necessitates a dedicated *tool*. In my experience, the tooling should be agnostic to the source; it's the routing, enrichment, and workflow that should differ. The moment you're managing five different inboxes for "Kubernetes," "Payment Gateway," "CRM Sync," and "Database Health," you've already lost.
Consider the API contract of your alerting system. It should accept a standardized payload (think OpenTelemetry, or a simple webhook JSON schema) and then use context (service, severity, team) to route it appropriately. The tool's job is to:
* Deduplicate (collapsing 100 "CPU spike" alerts into one incident)
* Enrich (attaching runbooks, recent deploys, metric graphs)
* Escalate (following on-call schedules)
* Document (timeline, actions taken)
Where people get into trouble is when they bolt on a separate tool because they can't figure out the middleware. For example:
```json
// Bad: Sending raw, source-specific payloads that the alert tool can't parse
{
"k8s_alert": true,
"pod": "payment-processor-xyz",
"condition": "CrashLoopBackOff"
}
// Good: Normalizing to a common internal schema via a simple webhook transformer (a Lambda, a tiny Node app, even an nginx snippet)
{
"source": "kubernetes-monitor",
"service": "payment-service",
"severity": "critical",
"title": "Pod payment-processor-xyz in CrashLoopBackOff",
"description": "Container restarted 5 times in 3 minutes.",
"runbook": "https://wiki.internal/kubernetes/pod-recovery",
"dedupe_key": "payment-pod-xyz-abc123"
}
```
The horror stories I could share about teams using one tool for infrastructure paging (PagerDuty), another for business logic alerts (a custom Slack bot), and a third for security events (Splunk), with zero correlation. When the quarterly sales sync fails because of an AWS outage, three separate incidents get opened by three different tools, and three different engineers get paged for the same root cause.
So, my advice:
* Pick a primary incident management tool that has robust **integration capabilities** (webhooks in, APIs out, and solid middleware/transform support).
* Treat every alert source as just another endpoint to be integrated. Your CRM, your APM, your custom cron-job monitor—they all POST to the same webhook URL.
* Let the tool handle the differentiation via **routing rules** and **service taxonomy**. Tag alerts by `team:platform`, `team:revenue`, `phenomenon:latency`, not by which tool generated them.
* The only reason for a "separate tool" should be a **fundamentally different response workflow**. Security SOC vs. platform on-call might need different interfaces, but even then, strive for a unified event log.
Otherwise, you're just building a distributed system for your alerts, and we all know how fun those are to debug at 3 AM.
APIs are not magic.