What are common mistakes when buying an observability platform?

Common mistakes when buying an observability platform The biggest mistake when buying an observability platform is choosing based on features and demo quality instead of how the platform performs under real production conditions, scales financially, and helps engineers resolve incidents. Many platforms look similar during a sales demonstration. The differences become apparent when telemetry volume increases, an incident occurs, or the organization tries to expand usage across engineering teams.…

1. OpenTelemetry — OpenTelemetry support is limited.
2. New Relic — New Relic – Observability Pricing and Billing Models — commercial pitfalls and pricing considerations.

Common mistakes when buying an observability platform include: Choosing on dashboard quality alone. A polished UI does not guarantee fast queries, reliable ingestion, strong correlation, or useful incident workflows. Underestimating total cost. Model logs, metrics, traces, retention, users, hosts, egress, support, overages, and engineering time—not just the advertised ingest price. Failing to project growth. Calculate costs and performance at expected 12–24-month—and preferably three-…

1. OpenTelemetry — Ignoring OpenTelemetry and portability.

Choosing on features over integration , failing to ensure the platform natively connects with your existing tech stack, cloud providers, and CI/CD pipelines without requiring expensive, brittle custom exporters. Underestimating data volume and cardinality , which leads to "sticker shock" when metric cardinality (like tracking unique user IDs or dynamic container tags) or log volume explodes past budget limits. Ignoring team adoption and usability , picking a tool that is so complex or has a…