You bought the tools. Datadog for infrastructure metrics, PagerDuty for alerting and escalation, Sentry for error tracking, maybe Grafana for custom dashboards. Each one does its job. The dashboards look good. The team feels covered.
And then something breaks on a Friday evening, and you realize nobody was actually watching the thing that broke. Not because you didn't have monitoring - you had four kinds of monitoring. The problem was that none of them knew about the others, and the gap lived right in the space between them.
This is the tool sprawl problem. Not too many tools - too many tools that don't talk to each other.
Nobody plans to run five monitoring tools. It happens gradually, and every step makes sense at the time.
An incident happens, the post-mortem says "we need better alerting," and someone sets up PagerDuty. A few months later, the platform team wants deeper metrics, so they add Datadog. The frontend team starts using Sentry because it catches errors the other tools miss. An SRE builds some Grafana dashboards for a specific use case and they stick around. Maybe an acquisition brings in a team that's already running New Relic, and nobody wants to fight that battle during integration.
Each tool was the right call individually. But nobody stepped back and asked: do these tools, together, actually cover everything? Or are we just assuming they do because we have a lot of them?
When people talk about tool sprawl, they usually mean cost. "We're paying for five monitoring platforms, let's consolidate to two." That's a real problem, but it's not the expensive one.
The expensive problem is the gaps between tools. The places where Tool A thinks Tool B is handling it, Tool B thinks Tool C is handling it, and nobody is handling it.
The numbers tell the story:
That last number is the one that matters. The outages aren't happening because teams lack tools. They're happening because the tools don't have a shared picture of what's covered and what isn't.
Here are the patterns I see over and over. They're not exotic edge cases - they're the default state of most multi-tool setups.
A service has Datadog monitors tracking CPU, memory, latency, error rates. Good coverage on the metrics side. But the alert notification goes to a Slack channel, and there's no PagerDuty escalation policy for that service. If the alert fires at 2am, it sits in Slack until someone happens to check it in the morning. The metrics tool did its job. The alerting tool didn't know the service existed.
Sentry catches a spike in 500 errors on your checkout service. But there's no corresponding Datadog monitor on that service's infrastructure - no CPU alert, no memory alert, no latency threshold. Was the error spike caused by a code bug or by the host running out of memory? Good luck figuring that out when your tools don't share context.
PagerDuty has 200 services configured. Datadog has 300 monitors. But nobody has mapped which monitors feed into which services, or whether every monitored service has an escalation policy with current responders. Some monitors fire into the void. Some PagerDuty services haven't received an alert in months - not because things are healthy, but because the Datadog monitor got deleted during a cleanup and nobody noticed. (If this one hits close to home, we wrote a whole post on the ownership problem.)
Someone set up synthetic monitoring for the homepage and the login page. Great - you'll know if the site is down. But nobody set up a synthetic for the checkout flow, the payment processing endpoint, or the API that handles subscription upgrades. The pages that generate revenue have no proactive monitoring. You find out they're broken when the revenue dashboard dips.
This is the one that kills you. Each individual dashboard looks fine. Datadog: all monitors passing. PagerDuty: no open incidents. Sentry: error rates normal. Grafana: dashboards green. But when you look across all of them, there are 15 services with no monitoring at all, 8 escalation policies pointing to people who left, and a dozen monitors sending alerts to an archived Slack channel.
No single tool can show you that picture because no single tool has all the data.
The industry's answer to tool sprawl is consolidation. Pick one platform, move everything there, reduce the surface area. And that's a perfectly reasonable thing to do from a cost and complexity standpoint.
But consolidation doesn't automatically fix coverage gaps. It just moves them.
If you consolidate from Datadog + Grafana + PagerDuty + Sentry down to Datadog + PagerDuty, you still need to make sure every service has monitors, every monitor has proper thresholds, every alert routes to someone who can act on it, and every critical business flow has synthetic coverage. The tool count went down. The coverage problem stayed the same.
That's because the problem was never "too many tools." It was "nobody has a map of what's actually covered." Reducing from five pins on the map to two pins doesn't help if you never had a map in the first place.
If you want to actually find the gaps, you need to look at your monitoring as a system rather than as individual tools. Here's a practical framework.
Step 1: List your services. Every API, every background worker, every cron job, every user-facing application. If it runs in production, it goes on the list.
Step 2: Map coverage dimensions. For each service, check whether you have coverage across these areas:
Step 3: Mark which tool covers what. This is where the gaps become obvious. Service X has Datadog metrics but no PagerDuty escalation. Service Y has a Grafana dashboard but no alerting. Service Z has alerts that route to an engineer who changed teams six months ago.
Step 4: Prioritize by blast radius. Not every gap matters equally. A missing synthetic test on an internal admin page is different from a missing escalation policy on your payment service. Fix the revenue-impacting gaps first.
If you want the full checklist for running this kind of audit manually, we covered it in detail in How to Audit Your Monitoring Stack.
The manual approach works, but it has the same problem as every manual process - it rots. You do the audit, fix the gaps, and three months later new services have shipped without monitoring, someone's left the team and their PagerDuty schedule has a hole, and a Datadog monitor got deleted during a cleanup that nobody tracked.
This is exactly why we built Cova. It connects to your monitoring tools - Datadog, PagerDuty, Grafana, Sentry, New Relic, Splunk, Sumo Logic - and maps coverage across all of them at once. It shows you which services are covered, which dimensions have gaps, and what specifically needs fixing. It also scans your code repositories to find services and endpoints that exist in code but have no monitoring at all.
The point isn't to replace any of your tools. It's to give you the map that none of them can build on their own.
See the gaps between your monitoring tools.
Try Cova - FreeRelated: How to Audit Your Monitoring Stack - a practical checklist for finding blind spots before the next incident.