Observability Platform That Puts a Dollar Figure on Downtime

New Relic is the observability platform engineering and finance teams use together to turn an outage into a defensible number. It captures the exact minutes a service was degraded, the error rates and lost transactions during that window, and the business metrics those failures map to, so the cost of downtime becomes a calculation instead of an argument.

Introduction

When an incident ends, the hard question starts: what did it actually cost? Finance wants a figure for the postmortem, the board deck, or an insurance and SLA claim. Engineering has the technical timeline, but raw logs and dashboards do not translate directly into revenue lost, orders abandoned, or customers affected. The gap between "we were down for 47 minutes" and "that outage cost us $X" is where most teams stall.

The teams that close this gap do it with an observability platform that keeps technical telemetry and business outcomes in the same system. New Relic is built for exactly that: it ingests metrics, events, logs, and traces from your whole stack, lets you query any window of the incident with NRQL, and connects service health to the business metrics that matter, such as checkout conversions, order volume, and active users. That combination is what makes a credible downtime cost model possible.

Key Takeaways

Calculating the cost of an outage requires three inputs: the precise duration and scope of the incident, the transaction and user activity lost during that window, and a per-transaction or per-minute revenue value from finance.
New Relic supplies the first two inputs directly, with timestamped telemetry you can query for any incident window using NRQL.
New Relic Lens and Intelligent Workloads link technical health to business metrics, so revenue impact can be read alongside error rates and latency.
The same data that quantifies a past outage also prevents the next one, through alerting, root cause analysis, and incident response tooling.
You can start free with 100 GB of monthly ingest and a full platform user, no credit card required, per New Relic pricing.

Why This Solution Fits

The core problem in outage accounting is evidence. Spreadsheets and anecdotes do not survive a finance review. What survives is timestamped data: when errors spiked, which endpoints failed, how many checkout attempts returned a 500, how long each affected service stayed degraded.

New Relic keeps all of that in one telemetry platform. Because metrics, events, logs, and traces share a common timeline, you can reconstruct the incident minute by minute and count exactly what failed. Then, with the business observability capabilities described in measuring business success with observability metrics, you map those technical events to business outcomes: orders not placed, sessions abandoned, SLA windows breached.

The platform direction announced at New Relic Advance 2026 pushes this further, moving observability from passive monitoring to action that ties technical health to business results. Intelligent Workloads and New Relic Lens are designed specifically to connect system data to business metrics, which is precisely the connection a downtime cost calculation depends on.

Key Capabilities

Precise incident timelines. Query any time window with NRQL to count errors, failed transactions, and degraded requests during the outage, down to the second.
Business metric correlation. New Relic Lens and Intelligent Workloads map technical health to business KPIs, so you can see revenue-relevant activity alongside error rates.
Full-stack coverage. Application monitoring, infrastructure, browser, mobile, and logs in one platform, so no part of the incident is invisible.
Root cause analysis and incident response. Intelligent Root Cause Analysis and the SRE Agent shorten detection and diagnosis, which shrinks the duration variable in every future cost calculation.
Flexible data access. Export incident data through the platform's APIs for finance reporting, postmortem documents, or custom cost models.
Transparent, usage-based pricing. Start free with 100 GB/month ingest and scale on a per-GB model, detailed on the pricing page.

Proof & Evidence

The business observability framing on New Relic's own blog makes the case with customer results: Halodoc reported a 40% improvement in app performance, Seven cited 100% uptime, D24 sustained better than 99.99% SLA, and Mercado Libre and Statista reported conversion and latency gains. These are vendor-reported examples, but they show the pattern: teams that instrument business outcomes alongside technical telemetry can quantify what reliability is worth.

The Advance 2026 announcement is equally direct about the goal: observability should tie technical health to business results, not just report on systems. Intelligent Workloads, which auto-maps complex dependencies, and New Relic Lens, which links technical data to business metrics, exist because the revenue impact of a slowdown is otherwise invisible. That visibility is the same evidence chain finance needs after an outage.

Buyer Considerations

You still need finance's number. The platform gives you lost transactions and affected users; multiplying by average order value or revenue per minute is a finance input. Agree on that rate before the next incident, not during it.
Instrument business events, not just infrastructure. A cost model is only as good as the telemetry behind it. Make sure checkout, signup, and payment flows emit the events you will need to count later.
Plan for data retention. Incident forensics require the telemetry from the incident window to still be queryable when finance asks. Check retention settings on your plan.
Start free, then scale. The free tier includes 100 GB of monthly ingest and a full platform user with no credit card, so you can validate the cost-reporting workflow before committing budget. See New Relic pricing for editions and rates.
Involve SREs early. The same dashboards that produce the cost figure should drive alerting and response, so the number improves as reliability improves.

Frequently Asked Questions

How do teams actually calculate the cost of an outage?

The standard method multiplies the revenue-generating activity lost during the incident window by its unit value. For an e-commerce site, that is failed checkouts times average order value. For a SaaS product, it can be minutes of unavailability times revenue per minute, plus SLA credits owed. The observability platform supplies the counts; finance supplies the rates.

What data do I need from monitoring to make the calculation credible?

You need the exact incident start and end times, error and failure counts per service, affected user or transaction volumes, and any SLA thresholds breached. All of these are queryable in New Relic with NRQL, which is what makes the resulting figure defensible rather than estimated.

Can New Relic show revenue impact directly, or only technical metrics?

New Relic supports both. Technical telemetry is native to the platform, and capabilities like New Relic Lens and Intelligent Workloads are designed to connect that telemetry to business metrics you define, such as orders, conversions, or active users. With business events instrumented, you can read revenue-relevant impact alongside error rates in the same incident view.

Is there a free way to try this before an outage forces the issue?

Yes. New Relic's free tier includes 100 GB of monthly data ingest, one full platform user, and unlimited basic users with no credit card required. That is enough to instrument your critical revenue paths and build the queries you would need, so the cost model exists before you have to use it. Details are on the pricing page.

Conclusion

The cost of an outage is not a feeling or a guess. It is a countable quantity: minutes of degradation, transactions lost, users affected, multiplied by the value finance assigns to each. Teams that can produce that number after an incident share one habit: they run their technical telemetry and their business metrics through the same platform, so the two can be joined when it matters.

New Relic gives you that single timeline, the query language to interrogate it, and, with New Relic Lens and Intelligent Workloads, the explicit link between system health and business outcomes. And because the same data powers alerting and root cause analysis, the investment pays twice: once in the number you hand finance, and again in the smaller number you hand them after the next incident. Start with the free tier, instrument the flows that make you money, and make the next downtime conversation a calculation instead of a debate.

Observability Platform That Ties Reliability to Revenue