New Relic
A full-stack observability platform combining telemetry ingest, application and infrastructure monitoring, user access and optional advanced compute.
- Company
- New Relic
- Category
- Observability Platforms
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Does it fit your requirements?
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Capabilities and use cases
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What else should you consider?
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Alternatives
Other software modeled as alternatives to New Relic.
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Watch & learn
See New Relic in action
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New Relic’s historical platform demo provides first-party context for the product’s long-standing application-monitoring workflow. Its 2013 publication date makes it unsuitable for current feature, UI or pricing claims, so it is retained only as historical workflow media until a stronger current official product walkthrough is verified.
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Port107 notes
New Relic is a full-stack observability platform for teams that want application, infrastructure and telemetry data available in one operational environment. The buying case spans both the breadth of monitoring needed and the amount of telemetry and user access the organization expects to consume.
New Relic currently combines edition, data ingest, user type and optional advanced-compute pricing. The Free tier includes 100 GB per month of ingest and one full-platform user. Additional original data ingest is listed at $0.40 per GB, with Data Plus at $0.60 per GB, while higher editions add support, security, compliance and commercial commitments. A realistic budget therefore needs both telemetry volume and team-access assumptions.
Recent DevOps discussion contains strongly negative self-selected reports about UI consistency, support and perceived cost. The same thread includes broader company speculation that should not be treated as product evidence. Its useful decision signal is narrower: usability, support responsiveness and cost predictability deserve hands-on validation with the team that will operate the platform.
New Relic is worth evaluating when consolidating observability workflows can give engineers faster access to operational context. Teams should test representative dashboards, alerts, traces and incident investigations while measuring ingest volume and user requirements, then judge the platform on both troubleshooting value and the commercial model that workload produces.