Reduce Observability Costs Without Losing Visibility

Where observability spend actually goes, and which parts of it are avoidable.

Why ingestion-based pricing gets expensive

Most observability vendors charge by data volume — per GB of logs ingested, per host, per span, per seat. That model means your bill grows every time you add a service, increase log verbosity, or add engineers, regardless of whether your actual usage of the platform changed. Costs become hard to forecast and, for many teams, some amount of useful telemetry gets deliberately dropped just to control the bill.

Tool sprawl compounds the problem

A typical stack isn't one ingestion-priced tool — it's several: an infrastructure monitoring tool, an error tracker, a session-replay tool, a product-analytics tool. Each is billed and contracted separately, each has its own ingestion or seat pricing, and none of them share data with the others, so the cost of tool sprawl isn't just the sum of the invoices — it's also the engineering time lost reconciling data across tools.

What flat, tier-based pricing changes

Modulis charges a flat monthly subscription per plan tier, with unlimited data ingestion on every paid tier (subject to fair use) — the bill doesn't move because you shipped more logs this month. Consolidating observability, session replay, product analytics, and AI-assisted resolution into that one subscription also removes the per-tool billing and reconciliation overhead of running several separate vendors.

What it doesn't change: your own infrastructure cost

Modulis runs inside your own cloud account (BYOC), which means you pay your cloud provider directly for the compute and storage Modulis uses there — that cost is separate from, and in addition to, your Modulis subscription. If you use AI-assisted resolution with your own model key (BYOK), any inference cost is similarly billed to you by your model provider. Total monthly cost is genuinely three line items: your Modulis subscription, your cloud infrastructure cost, and (optionally) your AI inference cost — see Pricing for the full breakdown and a cost calculator.

The actual trade-off

Flat subscription pricing trades ingestion-based savings on very low-volume workloads for predictability as you scale, and BYOC trades a managed SaaS vendor's infrastructure bill for your own cloud provider's bill — usually at lower markup, since you're paying wholesale cloud pricing rather than a vendor's marked-up hosting cost, but with the operational trade-off of infrastructure that runs in an account you own. Whether that trade-off is worth it depends on your volume and your compliance requirements, not a universal answer.

See the real numbers for your stack

Use the cost calculator on the Pricing page, or start with the Free plan.