Cloud monitoring cost for 50 hosts

The 50-host deployment marks a real transition in the cloud monitoring buyer journey. At 10 hosts, observability was free or nearly free across all viable vendors. At 50 hosts, the bill is real, the vendor choice matters, and the team starts paying attention to log volume and custom metric cardinality for the first time. This is the scale where most teams discover that observability is a meaningful budget line, not an afterthought.

Typical organisations at this scale include the Series B startup with a small platform team, the mid-size SaaS company with a couple of dozen engineers, the e-commerce platform handling steady but moderate traffic, and the internal IT operations team running a few dozen production VMs. The common feature is that observability is operationally important (the team is being paged, dashboards are real working tools, alerting matters) but observability is not a core competency or a differentiating capability.

The most consequential decision at 50 hosts is the choice of pricing model rather than the choice of vendor. A team that picks a per-host vendor (Datadog, Dynatrace) commits to a cost structure that scales linearly with infrastructure. A team that picks a per-byte vendor (New Relic) commits to a cost structure that scales with telemetry volume. A team that picks a per-series vendor (Grafana Cloud) commits to a cost structure that scales with cardinality. The architecture of the workload determines which model is cheapest at this scale and at the next 2x to 5x scale point.

The first overage charges typically appear at this scale on Datadog, which is when many teams get their first surprise bill. Custom metric overages from Kubernetes labels, log indexing on top of ingestion, and APM trace indexing above the included 1M per host are the three most common causes. The remedy is straightforward (drop labels at the agent, configure log index exclusion filters, sample APM traces at 5 to 10 percent) but most teams do not implement these defaults until after the first overage invoice arrives.

At 50 hosts, the self-hosted Prometheus question becomes more nuanced than at 10 hosts. A single Prometheus VM still works for 50 hosts in pure capacity terms (Prometheus comfortably handles 50 to 100 hosts on a 4-vCPU 16 GB memory instance), but the operational burden grows. Long-term retention beyond 15 days now needs Mimir, Cortex, or Thanos. High availability now matters because production observability is operationally important. Loki for logs needs proper sizing because a 30 GB/day log volume strains a single-node Loki deployment.

The honest engineering cost at 50 hosts is roughly 0.5 to 1 FTE platform engineer (typically 1 to 2 days per week of dedicated platform engineering capacity). At fully loaded compensation of $13,500 per FTE per month, that is $6,750 to $13,500 per month in engineering. Compare to Grafana Cloud at $200 to $700 per month for the same scale, and self-hosted is meaningfully more expensive once engineering time is honestly counted.

The case for self-hosted at 50 hosts is therefore narrow: teams where observability is genuinely a learning investment, teams with regulatory requirements that prevent multi-tenant SaaS, and teams where the 0.5 FTE platform engineer is going to exist regardless and can amortise across observability plus other infrastructure responsibilities. Outside these three cases, hosted Grafana Cloud or New Relic is the rational economic choice at 50 hosts.