The numbers are in, and they're telling a story that most engineering teams already feel in their bones: the era of running six different monitoring tools is ending.
LogicMonitor released research this month showing that 97% of UK IT leaders would consider consolidating into a single observability platform if it met their needs. That's not a trend - that's a consensus.
Here's what else the research found:
Catchpoint's SRE Report backs this up: 25% of businesses operate with six to ten monitoring tools. That's six to ten dashboards, six to ten sets of credentials, six to ten billing surprises per month.
IBM's 2026 Observability Trends report identified the same three forces driving change: the need for AI-driven intelligence, cost management, and open standards adoption. The message from every corner of the industry is the same - fragmented observability is a liability.
This didn't happen by accident. It happened because every problem got its own tool:
Each tool solved one problem well. But the compound effect is brutal:
Context switching kills MTTR. When an alert fires at 3am, you don't need to check three dashboards to figure out what's wrong. You need one place that connects the dots - the alert, the logs, the trace, the status page update, and the person on call. Every tool boundary is a gap where context gets lost and resolution gets slower.
Costs compound invisibly. Each tool has its own pricing model. Datadog bills by host and by indexed log volume and by custom metric. PagerDuty bills per user. StatusPage bills per page. Individually, each seems reasonable. Combined, mid-sized teams routinely spend $50K-$150K/year - and that number only goes up as infrastructure scales.
Integration tax is real. Every connection between tools needs maintenance. Webhook configurations break. API versions change. Someone has to own the glue code that pipes alerts from your monitoring into your incident tool into your status page. That's engineering time that produces zero customer value.
Consolidation doesn't mean "one tool that does everything badly." It means a platform where the components are natively integrated because they were built together.
When your monitoring, status pages, incident management, on-call scheduling, logs, APM, and error tracking share the same data layer, things change:
Incidents become automated. A monitor triggers, an incident is created, the right person is paged, and a status page update goes out - without anyone manually coordinating between four different tools.
Root cause analysis gets faster. You're looking at logs, traces, and metrics in the same interface, on the same timeline, with the same filters. No exporting CSVs from one tool to correlate with timestamps in another.
Cost becomes predictable. One vendor, one bill, one pricing model. You can actually forecast what observability will cost next quarter.
Onboarding shrinks. New engineers learn one platform instead of navigating six. They're productive in days instead of weeks.
Here's where it gets interesting. The consolidation wave is happening at the same time as the open source observability wave.
IBM's research specifically called out the increased adoption of OpenTelemetry and open standards. Organizations don't just want fewer tools - they want tools they can control. Vendor lock-in is the other side of the tool sprawl coin.
When your observability platform is open source, consolidation gets better:
If 97% of IT leaders want consolidation, why hasn't it happened yet?
Three reasons:
1. Switching costs feel high. Migrating from six tools is genuinely hard. But the math works when you calculate what fragmentation costs in engineering time, tool costs, and incident response speed. Most teams recoup the migration investment within a quarter.
2. "Good enough" inertia. Each individual tool works. The pain is in the gaps between them. It's a death-by-a-thousand-cuts problem that's easy to ignore until you can't.
3. The right platform didn't exist. Historically, "all-in-one" meant "mediocre at everything." That's changed. Modern platforms built from the ground up as unified systems - rather than acquisitions bolted together - deliver depth in each capability because they share a common architecture.
If you're running three or more observability tools today, here's the honest assessment:
The 97% aren't wrong. The consolidation wave isn't a vendor marketing narrative - it's a rational response to real operational pain.
The only question is whether you consolidate into another closed platform and repeat the lock-in cycle, or whether you consolidate into something open where you own the stack.
That's not a rhetorical question. It's the one worth actually thinking about.
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