The Hidden Cost of Observability Sprawl: Why You Are Paying Three Vendors for One Job

Published: 2026-05-20
Author: Saascutters
Read time: 6 minutes
Keywords: observability cost, Datadog alternative, logging cost reduction, metrics consolidation, APM spend

The average Series B engineering team runs Datadog for infrastructure metrics, New Relic for APM, Sentry for error tracking, and at least one log shipping vendor — often two. The result is an observability bill that rivals compute costs, with overlapping functionality and no single owner.

This is observability sprawl. It is expensive, it is invisible to finance, and it is almost always fixable.

The pattern we see in every audit

1. Datadog is purchased first, for host-level metrics and dashboards.
2. New Relic is added by the platform team for distributed tracing.
3. Sentry is adopted by the frontend group for error tracking.
4. A log aggregator — Splunk, ELK, or a cloud-native equivalent — is already running from an earlier era.
5. Each tool accumulates custom dashboards, alert rules, and team habits.
6. No one reviews whether the combination still makes sense.

The result: four invoices, four pricing models, four sets of seat licenses, and a total monthly cost that often exceeds $15,000 for a team of forty engineers.

How to quantify the overlap

Pull the last three invoices for every observability vendor. Then answer these questions:

• Which metrics are you tracking in more than one tool?
• Which alerts fire on the same condition?
• Which dashboards are viewed less than once per month?
• How many seats are assigned to people who have not logged in this quarter?

One client discovered they were paying for 34 Datadog seats. Only 19 had logged in during the last ninety days. The rest were former employees and contractors whose accounts were never deprovisioned.

The consolidation playbook

Step one: Pick one primary observability platform. The right choice depends on your stack, not on brand preference. Teams heavy on Kubernetes often favor Grafana Cloud. Teams with a strong SRE culture and custom instrumentation often prefer Datadog. Teams prioritizing error tracking above everything else can sometimes run Sentry as the primary tool.

Step two: Map every critical alert and dashboard to the primary platform. This is the hardest part — it requires talking to each team that owns a dashboard and asking whether it is still relevant.

Step three: Cancel or downgrade the secondary tools. In most cases, you will keep one secondary tool for a specific use case — often Sentry for frontend error tracking — and downgrade the rest to free or minimal tiers.

Step four: Tune ingest. Most observability bills are driven by log and metric volume, not by seat count. Reduce log verbosity in non-production environments. Drop DEBUG-level logs from production. Use metric aggregation where possible.

What verified savings look like

A typical consolidation engagement produces:

• Before: Datadog Enterprise + New Relic Pro + Sentry Business + custom ELK stack = ~$18,000/mo
• After: One primary platform (right-sized) + Sentry Business (retained) + self-hosted lightweight log viewer = ~$6,500/mo
• Verified first-year saving: ~$138,000

The engineering work is real — re-routing telemetry, rebuilding dashboards, retraining teams on the new primary tool. But the savings are verifiable against prior invoices, month by month.

Performance-based help

If your observability stack is large enough that the audit feels political — multiple teams with strong preferences, overlapping contracts with different end dates — an outside engineering practice can run the consolidation without internal bias.

Saascutters audits, re-architects, and renegotiates observability spend as part of our infrastructure engagements. We are paid thirty percent of verified first-year savings. No retainer. Request an audit →