5 Signs You’re Carrying Observability Debt And Why It’s a Deeper Telemetry Pipeline Problem

Rising observability costs can feel like a budget problem. Underneath, they're often a pipeline design problem.

Many observability stacks were built around tools, not around data: each platform with its own agent, its own pipeline, its own format. As telemetry volume grows and more teams want access to it, that patchwork gets more expensive to run and harder to trust, and the invoice is often the first place it shows.

High-growth companies tend to feel this early, since their telemetry multiplies as services do. And that data isn't only feeding dashboards anymore. Security, analytics, automation, and AI increasingly depend on the same operational data, so a fragmented foundation costs more than money. It costs engineering time, resilience under pressure, and trust in the data.

In this eBook, learn the five signs your rising observability costs point to a deeper telemetry pipeline problem, and what's driving each one:

• Why the same telemetry gets collected, and paid for, more than once
• How data volume can outgrow the architecture meant to absorb it
• Why visibility can disappear when an incident hits
• Why each new tool or use case can mean yet another pipeline
• How keeping pipelines running quietly consumes senior engineering time

Download the eBook to see how each sign plays out in practice, and what a trusted, reusable telemetry foundation can change.