Navigating SAP Transformation: A Technical Blueprint for De-Risking Migrations with New Relic

SAP users are facing the most significant shift in their core services in two decades. For a generation of SAP users, SAP ECC 6.0 provided a highly stable platform, which has been relied upon to run core business processes. Teams have traditionally relied on SAP Solution Manager (SolMan) for monitoring and alerting, sitting at the center of IT operations.

However, this era of stability is drawing to a close. The modern tech landscape is rapidly accelerating with the emergence of distributed cloud ecosystems, microservices architectures, and advanced AI technologies. This transition shifts enterprise software from localized infrastructure to multi-vendor cloud services. Adding immediate urgency to this evolution is a definitive countdown: at the end of 2027, SAP Solution Manager will exit mainstream maintenance. While extended paid maintenance may provide a temporary lifeline for select core components, the dedicated monitoring and alerting functionalities within SolMan are excluded from this grace period. What was previously protecting older SAP systems is fundamentally approaching an end-of-life scenario.

The Technical Successor and the Observability Chasm

SAP’s modern answer to application lifecycle management is SAP Cloud ALM- a cloud-native, multi-tenanted application hosted natively on the SAP Business Technology Platform (BTP) that leverages SAP HANA Cloud. While Cloud ALM delivers a modernized platform, it exists as a specialized subset of the Solution Manager footprint, optimized primarily for the native SAP ecosystem.

What does this mean for SAP platform owners migrating over? It introduces a substantial operational vulnerability for the modern enterprise. Most modern enterprise processes do not execute purely within an isolated SAP stack. Instead, they span multi-vendor cloud architectures, external databases, legacy third-party components, and custom web apps. This complexity demands a shift from legacy "monitoring" to advanced "observability". Traditional monitoring focuses on tracking known, static thresholds for isolated infrastructure assets (e.g., verifying if an application instance is active). In contrast, observability provides the analytical framework to query full-fidelity telemetry - metrics, events, logs, and distributed traces - enabling infrastructure and engineering teams to isolate and debug complex, unpredictable, and novel application failures across highly distributed multi-cloud environments.

Instead of forcing organizations to rip and replace, New Relic coexists alongside SAP Cloud ALM. Through a native, continuous API ingestion framework, New Relic extracts the specialized functional telemetry generated by Cloud ALM and blends it with full-fidelity system data across the enterprise landscape. This allows internal SAP engineering teams to maintain their native workflows inside Cloud ALM, including use of Cloud ALM for operational features, while the broader organization achieves unified observability across both SAP and non-SAP boundaries through a single point of data aggregation.

De-Risking the Migration to S/4HANA and RISE

Whether an organization is navigating an infrastructure shift from on-premise ECC to S/4HANA or an operational pivot to RISE with SAP (Cloud ERP Private), migrating a business-critical tool is highly complex. New Relic mitigates this operational risk by establishing a continuous, telemetry-driven workflow across the entire migration lifecycle.

1. Establishing the Legacy Baseline via Fiori RUM

The foundation of any risk-mitigated migration is the creation of highly accurate performance baselines. Traditional baselining is highly manual and subjective: end-users execute a process (e.g., a Sales Order creation), self-record their localized transaction times, and rely on BASIS teams to manually isolate matching database traces. This manual process is heavily error-prone and operationally difficult to align across multiple test cohorts.

New Relic automates this process through Real User Measurement (RUM) for SAP Fiori environments. When an end-user triggers an action, New Relic automatically captures the exact browser execution steps, user interface interactions, and browser performance calls. This frontend telemetry is mapped directly through the SAP Gateway layer and tied back to the exact execution paths deep inside the backend SAP core. The BASIS and development teams can capture a direct permalink to a specific distributed trace and store it directly inside the migration project’s test script documentation, creating an accurate benchmark with minimal manual effort.

2. Accelerating Test Cycles and Visualizing Iterations

As migration teams progress through integration testing, performance testing, and user acceptance Testing (UAT), isolating performance regressions across software updates or system patches is critical. New Relic provides deep investigative flexibility through its data analysis engine and the New Relic Query Language (NRQL). NRQL enables infrastructure and BASIS teams to write SQL-like queries against raw events, application logs, and system metrics across multiple systems simultaneously. This allows teams to analyze complex, multi-dimensional telemetry data, exposing hidden regressions before they impact production environments.

3. Self-Documenting Validation and Live Transition

Upon completing a test cycle, the captured telemetry becomes self-documenting. A single distributed trace details the complete system lifecycle: frontend browser performance, external API integrations, SAP BTP middleware latency, and lower-level SAP database execution times. When moving to a live production state under RISE with SAP, teams can shift their existing configuration templates - including infrastructure dashboards, operational alert definitions, and Service Level Objectives (SLOs) - directly into the target environment, maintaining continuous operational coverage throughout the cutover window.

4. Integrating Governance within Observability

In the modern cloud world, infrastructure as code (IoC) is used along with continuous integration and continuous deployment (CI/CD) to govern deployment of resources and align internal operational policies

New Relic’s advanced observability platform provides out of the box Terraform integration, aligning your New Relic notification workflows with actual running resources (such as BTP apps and SAP ABAP platforms), reducing administrative effort and observability gaps simultaneously, while ensuring thresholds and alert configurations are consistently applied to the right resources at the right time and following appropriate change control.

Don’t let your transition off SAP Solution Manager expose you to operational blind spots. In our on-demand session, Watch our technical deep-dive to learn how to de-risk your journey and build pre-migration baselines with New Relic.

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Translating Technical Telemetry into Business Value

New Relic joins the dots between IT metrics and business reality. Traditional monitoring tools often confirm that an application server is active, while failing to detect that an intermittent database issue is reducing inbound customer orders.

New Relic addresses this challenge through Pathpoint - our proprietary, open-source, specialized business process modeling and observability engine. Pathpoint maps standard infrastructure and system signals directly against linear business processes, such as Order-to-Cash or Procure-to-Pay. It breaks down complex processes into discrete stages, and sub-stages (spanning systems like SAP S/4HANA, Cloud Connector, SAP BTP Integration Suite, and SAP Ariba).

By executing real-time data analysis via NRQL, Pathpoint translates low-level system states into high-level business KPIs.

Instead of looking at generic system utilization metrics, executive leaders are provided with real-time insight into business health, such as the exact percentage of sales orders processed and confirmed within a rolling 24-hour window. This top-down view connects system health directly to financial outcomes, evolving conversations from basic system availability to the direct business impact of a degraded customer experience.

Business analysts can use Pathpoint to review historical system state changes in 30-minute intervals to pinpoint exactly when a business workflow began degrading. Often, this degradation can be detected long before standard IT alerts trigger their infrastructure thresholds. These insights allow technical teams to fine-tune technical system alerts proactively, as part of an internal feedback loop, leading to resolution of underlying anomalies before they threaten enterprise service level objectives (SLOs).

An AI-First Platform Foundation

Supporting this unified platform is a deeply integrated AI core. New Relic uses automated anomaly detection models to dynamically calculate baseline thresholds based on real-time context. This adaptive profiling accounts for natural business cycles and seasonal traffic fluctuations, such as predictable morning login spikes within SAP systems, significantly reducing alert fatigue from false-positive notifications. Furthermore, the platform is moving toward open compatibility frameworks via the Master Control Program (MCP), enabling enterprises to securely connect external AI orchestration tools to New Relic's telemetry data to trigger automated operational workflows.

As the 2027 SAP Solution Manager maintenance deadline approaches, enterprise organizations must rethink their monitoring strategies. By combining multi-vendor infrastructure visibility, automated Fiori baselining, and direct business process mapping via Pathpoint, New Relic provides the modern observability architecture required to de-risk complex cloud migrations and turn operational data into a clear business advantage.

The 2027 Solution Manager deadline is ticking. Is your migration plan ready? See Fiori baselining and Pathpoint business-process mapping in action. Watch our full technical session to learn how to de-risk your S/4HANA or RISE migration. Watch the Webinar On-Demand