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Splunk to New Relic: Full Monitoring Migration Without a Single Minute of Lost Visibility

A large-scale monitoring estate — 400 dashboards, 2,000 monitored objects, 700 alert rules — migrated from Splunk to New Relic incrementally and without disruption. Costs were cut in half. Alerting fatigue was eliminated.

New RelicSplunkJSON ConverterNew Relic AgentsML Alerting

Key Results

400→130
Dashboards after migration
50%
Total solution cost reduction
700→90
Alert rules after cleanup
Problem

A sprawling Splunk estate with rising costs and unsustainable operational overhead

The client had built years of monitoring capability on top of Splunk — but the platform had grown into an unmanageable estate. Hundreds of dashboards, many of them redundant or obsolete, hundreds of overlapping alert rules generating constant noise, and a cost structure that was no longer justifiable.

Leadership made the strategic decision to migrate to New Relic. The challenge was not just technical — it required careful evaluation of every dashboard, every alert, and every data pipeline, while ensuring zero degradation in monitoring quality during the transition.

400 dashboards to evaluate for compatibility and relevance before migration

2,000 monitored objects sending data via Splunk forwarders — all needed rerouting

700 alert rules, many overlapping or poorly tuned, causing alerting fatigue

Risk of doubled licensing and infrastructure costs during the overlap period

Long-running queries (10 seconds+) degrading observability platform performance

Strict data security requirements — no tolerance for data leakage or unprivileged access during cutover

Solution

Incremental, data-first migration with a custom-built conversion toolchain

RNX team ran the migration as a close, hands-on collaboration with the client's team. Rather than a risky big-bang cutover, we designed a strictly incremental process — application by application, batch by batch — applying a 'data first' policy at every step: no application was migrated until its data flows were confirmed intact in New Relic.

To accelerate the dashboard migration at scale, we built a custom JSON converter that translated Splunk dashboard configurations into New Relic-compatible imports. This eliminated weeks of manual rebuilding and ensured fidelity across the dashboard estate.

1

Estate analysis

Thorough review of all existing dashboards, ETL/ELT procedures, and data pipelines to map dependencies and identify what to migrate, consolidate, or retire

2

Custom JSON converter

Built a purpose-specific tool to convert Splunk dashboard configurations into New Relic-compatible JSON imports, dramatically reducing manual rebuild effort

3

Data ingest migration

Rerouted 2,000 monitored objects from Splunk forwarders to New Relic agents, validated batch by batch with zero data loss tolerance

4

Incremental cutover

Migration executed in controlled batches with 'data first' policy — each application verified in New Relic before Splunk decommission, preventing any doubling of costs

5

Alert rule redesign

700 legacy alert rules consolidated to 90 precisely tuned conditions; ML-based alerting implemented to eliminate noise and reduce false positives

6

Security hardening

Access controls and data routing reviewed at every stage to eliminate any risk of data leakage or unprivileged access during the transition window

Output

Full monitoring continuity, half the cost, zero alerting fatigue

The migration completed without any loss of quality of service. The client's monitoring capability came out of the project stronger than it went in — cleaner dashboards, tighter alert rules, faster queries, and a significantly lower cost base. The several-month engagement delivered improvements that will compound for years.

400→130
Dashboards (obsolete objects removed)
700→90
Alert rules after ML-driven consolidation
60%
Reduction in long-running query duration
50%
Total solution cost reduction

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