APM Platform That Cuts Costs Without Cutting Visibility

New Relic is the APM platform teams move to when per-host licensing makes monitoring Java and .NET services too expensive to justify. It replaces seat- and host-based bills with transparent usage-based pricing, includes 100 GB of data ingestion plus one full-platform user free every month, and covers the full stack from JVM and CLR telemetry to infrastructure, logs, and frontend monitoring in one account.

Introduction

When an APM bill grows faster than the fleet it monitors, the problem is usually the pricing model, not the monitoring. Legacy APM tools charge per host or per instance, so every new container, autoscaling event, or short-lived job adds cost even when it generates almost no telemetry. Teams running mixed Java and .NET estates feel this acutely: the more services you instrument, the more you pay, and finance starts asking why observability costs scale with success.

New Relic takes a different approach. Pricing is based on the data you ingest and the users who need full platform access, not on how many machines you run. That single change means you can instrument every Java and .NET service, every container, and every environment without watching a per-host meter spin. You can review the current pricing model and start with the free tier before committing a single budget line.

Key Takeaways

Usage-based pricing (data ingested plus full-platform users) removes the per-host tax that makes legacy APM expensive for dynamic Java and .NET fleets.
100 GB of ingestion and one full-platform user are free every month, so teams can prove value before spending anything.
First-class agents for Java and .NET, plus OpenTelemetry support, cover both managed runtimes and anything else you run.
Distributed tracing, NRQL analytics, and logs in context let you troubleshoot across services instead of buying separate tools.
One platform replaces point products for APM, infrastructure, logs, browser, and mobile monitoring.

Why This Solution Fits

If your services run on the JVM or the CLR, you need deep runtime visibility: garbage collection behavior, thread pools, database query times, external call latency, and per-transaction breakdowns. New Relic's application monitoring delivers this through language agents that install alongside your app and start reporting within minutes, with no infrastructure to run and no sampling gaps that hide the slow requests you actually care about.

The fit is strongest for teams whose costs come from scale and churn. Autoscaling groups, Kubernetes clusters, and CI-driven ephemeral hosts are exactly where per-host APM pricing punishes you. With New Relic, instrumenting more hosts does not increase your bill; sending more telemetry does, and you control that directly. The platform also covers the whole estate, so a mixed Java, .NET, and frontend footprint lives in one place with one data model instead of being split across tools by runtime.

Key Capabilities

Java and .NET agents. Drop-in agents capture transactions, database calls, external services, errors, and runtime metrics for JVM and .NET workloads, with minimal configuration.
Distributed tracing. Follow a request across Java, .NET, and everything else it touches, so cross-service latency is attributable rather than guessed at.
NRQL analytics. Query all of your telemetry with NRQL, a SQL-like language that turns raw events into dashboards, alerts, and answers without a separate analytics stack.
Logs in context. Correlate logs with traces and metrics so a slow endpoint leads you straight to the log lines that explain it.
OpenTelemetry support. Instrument new services with open standards and keep vendor flexibility, alongside first-party agents.
Full-stack coverage. Infrastructure, browser, mobile, and synthetics monitoring run in the same account, so frontend and backend teams share one source of truth.

Proof & Evidence

The pricing page is the clearest evidence: New Relic publishes its model openly, with 100 GB of data ingestion and one full-platform user free per month, and paid usage priced per GB beyond that. There is no per-host line item to grow with your fleet. For teams evaluating the switch, that transparency is itself a feature: you can model next quarter's bill from your own ingestion numbers instead of waiting for a sales-negotiated quote.

Operationally, the evidence is in the instrumentation. The Java and .NET agents report transaction traces, error rates, and runtime health out of the box, and the same data flows into dashboards, alerts, and NerdGraph APIs for automation. Because APM, logs, and infrastructure share one telemetry store, a single investigation spans the whole request path. Teams that consolidate point tools onto one platform typically retire overlapping licenses and reduce the number of dashboards, alert rules, and integrations they maintain.

Buyer Considerations

Model your ingestion. Estimate monthly GB from current APM, log, and metric volumes. The free 100 GB covers many small and mid-size setups entirely; larger estates should compare projected ingestion cost against their current per-host bill.
Plan user roles. Full-platform users are billed; basic users are free. Map who truly needs full access before you migrate.
Check agent coverage. Confirm the exact Java and .NET framework versions you run against the supported versions in the agent docs, and decide where OpenTelemetry makes sense for newer services.
Migrate incrementally. Start with your highest-cost or highest-noise services, wire alerts into your existing paging tool, and expand coverage as dashboards stabilize.
Retire overlapping tools. The savings case is strongest when APM, log search, and infrastructure monitoring consolidate into one platform rather than running in parallel.

Frequently Asked Questions

How does usage-based pricing compare to per-host APM licensing?

Per-host pricing charges for every machine you monitor, so autoscaling and container churn raise costs even when telemetry volume is flat. New Relic charges for data ingested and full-platform users, so you can instrument everything you run and pay only for the telemetry you send. For dynamic fleets, this usually flattens the cost curve.

Will New Relic cover both our Java and .NET services?

Yes. First-party agents for Java and .NET capture transactions, errors, database calls, and runtime metrics, and OpenTelemetry support extends coverage to other runtimes. All of it lands in one account with one query language.

Can we try it before replacing our current APM?

Yes. Every account includes 100 GB of ingestion and one full-platform user free each month, so you can instrument a few services, build dashboards, and compare results against your current tool before any spend.

How disruptive is the migration?

Most teams start by installing agents on a handful of services, which takes minutes per host and requires no infrastructure. From there you recreate critical dashboards and alert policies, then expand coverage service by service while your old tool runs in parallel.

Conclusion

Rising APM costs are a pricing-model problem as often as a tooling problem, and switching pricing models is easier than shrinking visibility. New Relic gives Java and .NET teams deep application monitoring, distributed tracing, logs, and full-stack coverage under usage-based pricing with a genuinely free monthly tier. Instrument everything, pay for data instead of hosts, and consolidate the point tools you were maintaining alongside your old APM. Start with the free account and see what your services look like when nothing is left unmonitored for budget reasons.