Why now

Observability is under pressure from three directions at once.

AI workloads are already running in production, and most monitoring stacks were never built to watch them. Buyers know it: nearly three-quarters of IT teams expect to replace their observability tools within two years. Here's what's driving the timeline.

47.7%Enterprises already running AI training or inference workloads (EMA 2026)
73%IT teams likely to replace an observability tool within two years (EMA 2026)
200–300%Renewal cost increases reported after PE acquisition of legacy vendors
3–8xLower 3-year TCO with Parlon, modeled below

Why now

Three forces, converging at once.

None of these is waiting for the other two. Together, they define the window for modernizing observability now rather than at the next renewal.

01

AI created new blind spots

GPU thermal throttling, agent misbehavior, and east-west fabric congestion are already production problems. Most monitoring stacks were designed before any of them existed.

47.7%of enterprises already run AI training or inference workloads in production
36.6%more will within 12 months
35%believe their current tools are ready for AI-era failure modes

Source: EMA Network Management Megatrends 2026

02

Buyers are already moving

This isn't a hypothetical replacement cycle. It's already open, and it's accelerating year over year.

73%of IT professionals are likely to replace an observability tool within two years
26% → 32.7%reporting "very likely," 2024 to 2026

Source: EMA Network Management Megatrends 2026

03

Incumbent economics are breaking down

Renewal costs are climbing for reasons that have nothing to do with value delivered: private-equity pricing plays, forced bundling, and per-device economics that punish scale.

200–300%renewal cost increases after PE acquisition
$200/device/yrlist pricing at some incumbents, before services and headcount

Source: Netdata/Faddom/Seprio 2025 SolarWinds pricing analysis; IBM SevOne internal pricing deck, 2023

Force 03, in detail

Incumbent economics

Three patterns showing up across the installed base right now.

+200–300%

PE-Acquired Monitoring Vendor
Mandatory subscription conversion after PE acquisition

  • Perpetual licenses eliminated post-acquisition
  • 10% annual escalators locked into multi-year contracts
  • Early termination penalty: 20% of remaining contract value
Millions more

Enterprise Conglomerate
Customers seeking court injunctions over renewal demands

  • Bundled unwanted products into mandatory subscription tiers
  • Perpetual licenses eliminated across the portfolio
  • Enterprise customers actively seeking legal remedies at renewal
Costly / device

On-Premise NPM Vendor
7,000 devices means a million or more per year in license alone

  • $75K–$250K in professional services added to Year 1
  • 2–3 dedicated FTE required at enterprise scale
  • $50K–$150K in server infrastructure, Year 1

Solution guide

How Parlon addresses hybrid and AI-era infrastructure observability. Platform overview, use cases, and competitive positioning for evaluators.

Download PDF

The economics, side by side

3-year TCO comparison

Same environment, four ways to run it.

  On-Premise NPM Enterprise Suite PE-Acquired Parlon
Annual license $200K – $1M+~$200/device/yr list $300K – $800K $30K – $200K $35K – $150KACV, per device/node
Infrastructure / HW $50K – $150K $100K – $300K $10K – $50K $0SaaS, no hardware
Professional services $75K – $250K $150K – $500K $5K – $75K MinimalHours to first value
Ops headcount 2–3 FTE$300K–$450K/yr 3–5 FTE$450K–$750K/yr 1–2 FTE$150K–$300K/yr 0.25–0.5 FTE~$37K–$75K/yr
Est. 3-year TCO $1.5M – $3.5M+ $2.0M – $4.5M+ $400K – $1.2M ~$175K – $600K3–8x lower TCO

What modernizing actually looks like

The 90-day path

From first deploy to full decommission of the incumbent, on a timeline most teams treat as conservative.

1 Day one: Deploy Live in hours

Synthetics active within hours: HTTP, DNS, TCP, and SSL monitored from day one.

2 Week one: First value Blind spots found

Parlon surfaces latency and path issues your passive tools cannot see.

3 Week two: Baselines Alert Auto-Tune™ learns

Alert Auto-Tune™ begins learning system behavior. Parallel alerting builds team confidence.

4 Month two: POV complete ROI quantified

60-day proof of value done. Parlon alerts validated against the incumbent.

5 Month three: Decision made Renewal bypassed

Replacement confirmed. Incumbent renewal bypassed.

6 Month six: Decommissioned Savings begin

Full displacement. Legacy tool off contract. Parlon running solo.

Estimate your savings

TCO estimator

See what a comparable environment costs on a legacy platform versus Parlon. Fill in the form below to unlock the interactive calculator.

Example: a mid-size on-premise NPM environment.

Legacy NPM platform, same environment $2.1M – $4.2M
Parlon, same environment $280K – $480K

Unlock your own estimate

Tell us a bit about your environment and the calculator below will unlock with your numbers.

Common questions

Before you start the clock

We're mid-contract with our current vendor. Can we still evaluate Parlon?

Yes, and it's the best time to start. Parlon deploys alongside your existing stack without disrupting operations. By the time your contract comes up for renewal, you'll have 60–90 days of parallel proof already complete.

How long does a real migration actually take?

The 90-day timeline above is conservative. Synthetic monitoring is live within hours of deployment. Normalized telemetry flows within the first week. Most customers feel confident enough to decommission the incumbent within 60–90 days, some faster.

Will Parlon cover the same devices and integrations we have today?

For the vast majority of enterprise infrastructure, yes. Parlon's Normalization Engine handles standard network gear, cloud environments, and application stacks out of the box.

Our board expects a proven platform, not a startup. How do we justify the switch?

The founding team built the platforms your board already considers proven. Parlon is capitalized through self-funding and venture backing, reflecting conviction and investor confidence.

We'll walk through the three forces against your own environment and build a scoped, real-numbers estimate together.

Upcoming Webinar: The Four Blind Spots in AI Infrastructure