Monitoring & error tracking pricing

Observability tools split into two pricing philosophies that don't compare cleanly against each other: per-seat (a flat price for however many people need access, however much data they generate) and per-event (a price that scales directly with how much your systems actually produce — errors, spans, log lines, checks). A small team generating a lot of noisy telemetry can pay more on a per-event tool than a large team on a per-seat one, which is the opposite of what the plan names usually suggest.

Per-seat vs. per-event, and why the "cheap" plan can still cost more

A per-seat error tracker or APM tool charges for people, not volume — attractive for a small team with a noisy, high-traffic system, since the bill doesn't move when traffic does. The risk is the opposite one: a growing team adds a seat cost that has nothing to do with how much monitoring you actually need.

A per-event platform (billed on error counts, spans, log volume, or check frequency) rewards a quiet, low-traffic system and punishes a noisy one — a single misbehaving service that starts throwing thousands of duplicate errors an hour can move you to a materially higher tier without anyone adding a person or a feature.

The costs specific to this category

Log and event retention. How long your data is kept — 7 days versus 90 — is frequently a separate, upsellable dimension from the base plan, and it's easy to compare two tools' entry prices without noticing one keeps a week of history and the other keeps three months.

Sampling. Several platforms here let you sample events (keep only a percentage of them) specifically to control cost at high volume — worth checking whether a plan's headline price assumes full capture or an already-sampled rate, since that changes what you're actually being quoted for.

Alerting and on-call add-ons. Being notified when something breaks is often a separate line from being able to see that it broke — integrations, escalation policies, and on-call scheduling frequently sit behind a higher tier than basic error capture.

Uptime checks are priced by frequency, not volume. Unlike error trackers, uptime monitors typically bill on how often they check each endpoint (every minute vs. every 5) and how many endpoints you're watching — a completely different axis from the events-based tools they often get compared against.

How to actually compare two tools here

Estimate your realistic event/error volume at current traffic, then check what the same tool costs at double that volume before assuming the entry tier is what you'll actually pay — the whole point of per-event pricing is that it moves. For anything you'd compare against a per-seat tool, translate both into a single "cost per month at my real usage" number rather than comparing list prices directly, since the two models aren't otherwise apples to apples. Every comparison below is checked against the vendor's own current pricing and dated.