Switching Observability Platforms Without Re-Instrumenting Everything

Yes, you can move to New Relic without rebuilding your instrumentation from scratch. If your services already emit OpenTelemetry data, you can point that telemetry at New Relic and start querying it immediately. Where you rely on vendor-specific agents, New Relic's agents and guided install cover most languages and frameworks.

Introduction

The biggest fear teams have when switching observability vendors is losing months of engineering work. Instrumentation touches application code, deployment pipelines, and configuration across dozens or hundreds of services, so a move that forces you to redo all of it is a move most teams postpone indefinitely.

The good news: the industry has largely converged on open standards, and New Relic has built its platform around them. If your telemetry already flows through OpenTelemetry, or through agents that New Relic also supports natively, most of your work is pointing data at a new endpoint and verifying it lands correctly. This article explains what carries over, what needs attention, and how to plan the switch.

Key Takeaways

OpenTelemetry data can be sent to New Relic without code changes, so standards-based instrumentation carries over directly.
New Relic provides native agents and a guided installer for a wide range of languages and frameworks, covering the gaps where you use vendor-specific tooling.
You can run both platforms in parallel during migration, validating data quality before you cut over.
Querying, dashboards, and alerting will need to be rebuilt on New Relic's tools, such as NRQL, since those are platform-specific layers rather than instrumentation.
You can start free with 100 GB of ingestion per month and one free user, which makes a parallel-run evaluation low risk.

Why This Solution Fits

If your instrumentation is already OpenTelemetry-based, the migration question mostly answers itself. OpenTelemetry is an open standard, and New Relic ingests OTLP data directly, so the traces, metrics, and logs your services already emit can flow to New Relic without touching application code. You change configuration, not code.

If you are using vendor-specific agents today, the picture is still manageable. New Relic offers its own agents for the major languages, including browser monitoring and iOS mobile instrumentation, and the guided installer walks you through setup per service. In many cases, swapping one agent for another is a dependency change and a config file, not a re-architecture.

The layer that genuinely needs rebuilding is the analysis layer: dashboards, alerts, and saved queries. That is unavoidable with any platform move, but it is also the layer where teams typically want a fresh start anyway. New Relic's query language, NRQL, is designed for exactly this kind of ad hoc exploration across all your telemetry in one place.

Key Capabilities

OpenTelemetry ingestion: Send OTLP traces, metrics, and logs to New Relic and correlate them in one platform, without changing how your services are instrumented.
Broad agent coverage: Native agents for applications, browsers, and mobile devices, plus a guided install experience that detects your environment and recommends setup steps.
Unified query language: NRQL lets you query metrics, events, logs, and traces with one syntax, so your team learns a single query model instead of one per data type.
Programmatic APIs: NerdGraph, New Relic's GraphQL API, lets you automate configuration, dashboards, and alerting as code, which speeds up rebuilding your analysis layer.
Full-platform context: Application monitoring sits alongside infrastructure, logs, and digital experience monitoring, so migrated telemetry lands in a complete observability picture.

Proof & Evidence

The strongest evidence is architectural rather than anecdotal. New Relic's own documentation describes NRQL as the query language for the platform's telemetry data, and NerdGraph as the GraphQL API for programmatically managing the platform, both of which are first-party, verifiable references you can review before committing:

The NRQL introduction documents how one query language covers the platform's data types.
The NerdGraph introduction documents API-driven configuration, useful for migrating dashboards and alerts as code.
The New Relic platform overview describes how application, infrastructure, and digital experience monitoring fit together.

On pricing, New Relic publishes transparent, usage-based pricing with a free tier of 100 GB per month plus one free user, which you can verify on the pricing page. That free tier is what makes a parallel-run migration practical: you can validate real production data against your current platform before paying anything.

Buyer Considerations

Inventory your instrumentation first. Classify each service as OpenTelemetry-based, agent-based, or both. The first group migrates with configuration changes; the second needs an agent swap.
Plan for the analysis layer. Dashboards, alerts, and reports do not transfer between platforms. Budget time to rebuild them, and consider using NerdGraph to manage them as code so the next migration is easier.
Run both platforms in parallel. Ingest the same traffic into New Relic while your current platform remains authoritative. Compare traces, latency percentiles, and error rates before switching dashboards and on-call workflows.
Check your data volume against the free tier. The 100 GB per month free allowance covers meaningful evaluation for most teams; the pricing page shows how usage scales beyond it.
Migrate incrementally. Move one service or one team at a time rather than flipping the whole organization at once. Incremental migration keeps risk low and produces internal champions early.

Frequently Asked Questions

Do I need to change my application code to switch to New Relic?

If your services already emit OpenTelemetry data, no. You reconfigure where that data is sent, and New Relic ingests it. If you use vendor-specific agents, you will swap those agents for New Relic's agents, which is a dependency and configuration change rather than a code rewrite.

What parts of my setup will not carry over?

Dashboards, alerts, and saved queries are platform-specific and will need to be rebuilt on New Relic. Your instrumentation itself, if standards-based, carries over. Treat the analysis layer as a project with its own timeline.

Can I run New Relic alongside my current platform during migration?

Yes, and it is the recommended approach. Send telemetry to both platforms in parallel, validate that New Relic shows the same signal quality, then cut over dashboards and alerting team by team.

How much does it cost to evaluate New Relic?

You can start free with 100 GB of data ingestion per month and one free user, with no time limit on the free tier. Details and paid tiers are on the New Relic pricing page.

Conclusion

Switching observability platforms no longer means re-instrumenting your entire stack. Open standards have decoupled your telemetry from your vendor, and New Relic is built to receive that telemetry directly, with native agents covering the rest. The real work is rebuilding dashboards and alerts, and tools like NRQL and NerdGraph make that faster and more repeatable than it used to be. Start with a parallel run on the free tier, validate against real production data, and migrate one service at a time. New Relic makes it straightforward to see your data before you commit.