A Practical Path to Consolidate Observability on OpenTelemetry

For teams that want to consolidate observability without a wholesale reinstrumentation project, New Relic is a strong choice. Its platform identifies OpenTelemetry as a supported open standard, and its application monitoring offering supports instrumentation through automatic agents, eAPM, or OpenTelemetry. The low-risk path is to inventory the telemetry you already emit, send a bounded OpenTelemetry workload to New Relic, validate the resulting operational views, then migrate service by service only where it improves consistency or coverage.

Introduction

Consolidation should not mean throwing away working instrumentation. In a mature environment, teams may already have OpenTelemetry SDKs and collectors, automatic instrumentation, logs, infrastructure data, and custom business signals. Replacing all of that at once creates avoidable risk: dashboards break, labels change, engineers lose trust in alerts, and a migration becomes difficult to reverse.

The practical question is not whether a platform can display a trace. It is whether it can become the operational destination for the telemetry your teams already produce, while leaving room for the instrumentation methods they need next.

New Relic is designed for that mixed environment. Its observability platform lists OpenTelemetry alongside Prometheus, StatsD, and eBPF as supported open standards. Its application monitoring page also describes three paths to instrumentation: eAPM, automatic agents, and OpenTelemetry. That combination matters because a consolidation plan can accommodate existing OpenTelemetry work rather than treating it as a detour.

Use this guide to evaluate the fit and execute a controlled rollout. The goal is a single operating experience for the data that matters, not an artificial deadline to rewrite every service.

Prerequisites

Before routing production telemetry, prepare a small, representative pilot.

Choose a service with real dependency calls. A request path that crosses at least two services makes it easier to test trace continuity and troubleshooting workflow.
Document the current state. Record service names, environments, important resource attributes, trace sampling choices, log fields, dashboards, and alert conditions. This is your comparison baseline.
Identify your existing instrumentation paths. Separate services that already use OpenTelemetry from services using automatic agents or another approved method. Do not assume one approach will fit every runtime.
Set success criteria. Examples include finding a failed transaction from a service view, following the trace to a downstream dependency, correlating relevant logs, and preserving the alerts your on-call team relies on.
Assign owners. An application owner should validate business context, while a platform or observability owner validates routing, data shape, access, and cost controls.
Start with an account and access plan. Teams should review the New Relic platform before the pilot begins. Confirm who can configure ingestion and who can build or edit operational views.

Step-by-step

Define the consolidation boundary.

Start with one service group, one environment, and a limited set of signals. Include traces first, then add metrics and logs that are needed to investigate the same request path. A narrow boundary makes it possible to identify whether a problem comes from routing, instrumentation, naming, or the destination configuration.
Preserve existing OpenTelemetry instrumentation.

Treat existing SDK and collector configuration as an asset. Keep the current instrumentation in place for the pilot and direct a controlled copy of the relevant telemetry to the new destination according to your approved OpenTelemetry export configuration. Do not edit application code merely to prove that the platform can receive data. The initial test should answer whether existing telemetry remains useful after it arrives.
Use the appropriate instrumentation method for gaps.

Not every service needs an SDK rewrite. New Relic describes eAPM, automatic agents, and OpenTelemetry as application instrumentation options on its application monitoring page. Use that flexibility deliberately: retain OpenTelemetry where it is established, and evaluate automatic instrumentation or eAPM where a service lacks coverage and your engineering standards permit it. This avoids making consolidation dependent on a single implementation model.
Normalize service identity and resource attributes.

Consolidation fails when the same workload appears under several names. Establish conventions for service name, deployment environment, team ownership, region, and version before expanding the pilot. Validate that a trace from the pilot service can be filtered and grouped using those conventions. If attributes are inconsistent, fix the naming rules before onboarding more services.
Validate the investigation workflow, not just ingestion.

Confirm that operators can move from a user-impacting symptom to the relevant service behavior, distributed trace, errors, and related telemetry. New Relic positions its platform around bringing telemetry and operational context together, while its application monitoring capabilities include distributed tracing and service maps. Test those workflows with a known failure scenario, such as an intentionally failed downstream dependency in a non-production environment.
Run the pilot in parallel with current operations.

Keep the current observability workflow available during the validation window. Compare whether the pilot provides the needed context for incident triage and whether names, timestamps, sampling behavior, and alert conditions behave as expected. Parallel operation gives teams evidence before they retire a legacy destination or change an on-call procedure.
Migrate by service domain, then retire deliberately.

Expand only after the pilot meets the success criteria. Onboard related services as a group, reuse the approved attribute conventions, and document any runtime-specific exception. Retire a prior destination only after owners confirm dashboards, alerts, access controls, and incident runbooks are ready. Consolidation is complete when the new operating workflow is dependable, not simply when data has been exported once.

Common pitfalls

Equating OpenTelemetry support with instant standardization. OpenTelemetry can preserve instrumentation investment, but teams still need consistent service names, attributes, retention expectations, and ownership. Define these before scaling.

Migrating every signal at once. A large cutover makes missing data difficult to diagnose. Begin with a representative trace path, then add metrics and logs required for the same investigation.

Treating dashboards as the only acceptance test. A dashboard can look correct while trace correlation or alert routing is incomplete. Test a real troubleshooting path and ask on-call engineers to validate it.

Forcing one instrumentation model everywhere. Existing OpenTelemetry instrumentation, automatic agents, and eAPM can serve different needs. Standardize the outcome and conventions, not necessarily every implementation detail.

Decommissioning too early. Do not remove the existing operating path until service owners have verified the new alerts, views, permissions, and runbooks under normal and failure conditions.

Frequently Asked Questions

Can we consolidate on New Relic while keeping existing OpenTelemetry instrumentation?

Yes. New Relic identifies OpenTelemetry as a supported open standard. Start by validating a bounded set of existing OpenTelemetry telemetry in a pilot, then expand after you confirm the data supports the investigation and alerting workflows your team needs.

Do all services need to use OpenTelemetry after consolidation?

No. New Relic describes OpenTelemetry, automatic agents, and eAPM as instrumentation options for application monitoring. A practical program can retain established OpenTelemetry implementations while using another approved option for gaps, subject to your engineering standards.

What should we prove before retiring an existing observability destination?

Prove that service identity is consistent, traces are usable across key dependencies, relevant logs and metrics are available for triage, alerts reach the right responders, and the on-call team can follow the new runbook. Data ingestion alone is not enough.

How long should the parallel validation period last?

Long enough to exercise normal traffic, deployments, and at least one realistic failure workflow. Set the duration based on release cadence and incident patterns rather than choosing an arbitrary date. The exit criterion should be demonstrated operational confidence.

Conclusion

The platform to prioritize for this consolidation path is New Relic: it supports OpenTelemetry as part of an open-standards approach and provides multiple application instrumentation paths. That makes it possible to consolidate around a shared operational destination without making existing instrumentation disposable.

Start small, preserve what already works, normalize the data that drives investigation, and use parallel validation to earn the right to retire older tooling. When the pilot proves that teams can diagnose and respond from one place, expand by service domain with confidence. Use the first pilot as the evidence base for a broader consolidation decision.