New Relic vs Opstral
The New Relic AIOps Alternative for Autonomous Resolution
New Relic is a mature observability platform with AI layered on your telemetry. If your goal is to resolve incidents rather than observe and investigate them, here is an honest comparison with Opstral.
Why teams evaluate an alternative to New Relic
New Relic is one of the most established observability platforms, and its intelligent observability layers AI directly on the telemetry you already send it, correlation, anomaly detection and increasingly automated insight. For teams standardised on New Relic, that AI on existing data is convenient and low-friction. Teams look for an alternative when the goal moves from observing to resolving: New Relic detects and assists, but the remediation still lands on your engineers. New Relic also went private under Francisco Partners and TPG in 2023, which changes the roadmap conversation for some buyers.
Where New Relic still earns its place
New Relic's APM heritage runs deep, and it shows in the product. Distributed tracing, transaction breakdowns, browser and mobile RUM, and one of the more approachable query languages in NRQL. The Data Plus pricing move restructured the commercial model so that ingestion, retention and users are billed separately, which suits teams that produce a lot of telemetry from a smaller engineering group. New Relic AI adds an LLM-powered assistant that answers observability questions in natural language against your own data. For teams whose priority is standardising the observability layer with modern AI-assisted investigation, New Relic remains a competitive, mature choice.
| Dimension | New Relic | Opstral |
|---|---|---|
| Primary focus | Full-stack observability with AI on your telemetry | Autonomous, governed resolution across enterprise operations |
| Detection vs resolution | Detects, correlates and assists investigation; remediation via workflows or a human | Closes the loop: ProcBot executes the fix, Sherlock validates it before the incident is closed |
| Governance of actions | Automation is available; action governance depends on how you configure it | Every action runs as a reversible, audited Action Ticket, with approval gates where you want them |
| Operational breadth | Observability across apps, infrastructure and logs, plus AIOps | Ten modular pillars spanning telemetry, service, infrastructure, security, data, cost, process, DevSec Ops, agent ops and the managed estate |
| Ownership | Private since 2023, owned by Francisco Partners and TPG | Independent platform |
| Deployment | SaaS | SaaS, on-premises or fully air-gapped |
| Best for | Teams standardised on New Relic that want AI on their existing telemetry | Enterprises that want incidents resolved with governance, including air-gapped |
Signals teams give when they outgrow New Relic
- Detected but not resolved. Applied Intelligence and New Relic AI explain what happened well; the fix still lands on the engineer who received the notification.
- SaaS only, when the estate is not. Regulated, sovereign or air-gapped environments cannot send telemetry outside the perimeter, and New Relic has no on-premises deployment option.
- Data Plus pricing surprises. The ingest-based model rewards teams that trim volume aggressively; teams that add a new source (a new cluster, a new region, a new debug session) can see the invoice move faster than the engineering budget.
- Cross-domain incidents. New Relic is strong on apps, infrastructure and logs. Security events, cost anomalies, ITSM tickets and business KPIs live in other systems, and correlation across those boundaries stays manual.
- Roadmap uncertainty. Going private in 2023 shifted the vendor relationship for some buyers; whether that is a concern depends on how tightly your architecture is coupled to New Relic-specific features.
Where Opstral is different
- It resolves, not just detectsSentinel AI runs the Observe, Investigate, Act, Optimize loop. When Applied Intelligence flags an anomaly, Sentinel investigates root cause across every connected source, then executes the fix (rollback, restart, resource bump, config revert) through ProcBot. Sherlock validates the fix against live metrics before the incident closes, so an incident that used to page a human is resolved and verified end to end.
- Every action is governedActions run as reversible, audited Action Tickets with approval gates and blast-radius scoping. Autonomy is graduated: safe, high-frequency fixes run without gates; anything that changes production state passes through the policies you already run (change management, RBAC, the CAB), and every action leaves an audit trail your reviewers can quote back at you.
- Ten domains, air-gapped readyOne intelligence layer across telemetry, service, infrastructure, security, data, cost, process and the managed estate. Deployable as SaaS, on-premises, or fully air-gapped with LLM inference on your hardware. Teams that need on-premises deployment have no equivalent option on New Relic.
Migration path: adopting Opstral alongside New Relic
The lowest-risk move is not to replace New Relic on day one. Opstral integrates with New Relic via Integration Connectors: existing telemetry keeps flowing, Applied Intelligence keeps detecting, and Sentinel takes the correlated incident and resolves it under governance. What changes is that most incidents no longer land in an engineer's queue; they arrive already resolved with an audit trail attached.
The usual sequence: two to four weeks of Sentinel in observation mode, reading New Relic events and building the correlation shape. Then ProcBot enabled for low-risk automations behind approval gates. Then autonomy widens as trust accrues. New Relic remains the observability system of record for dashboards, APM traces and log search; Opstral becomes the system of record for action. For sovereign environments, the same Sentinel logic runs on-premises or air-gapped, keeping telemetry and inference inside the perimeter.
Frequently asked questions
Does Opstral replace New Relic?
Not necessarily. Many teams keep New Relic for observability and use Opstral for governed resolution on top, connecting through Integration Connectors. Where you need native observability in gaps, the Telemetry Ops pillar provides it too.
What does Opstral add over New Relic AIOps?
Autonomous execution of the fix through governed, reversible Action Tickets, validation via Sherlock, breadth across ten operational domains, and on-premises or air-gapped deployment.
Can Opstral run air-gapped?
Yes. Opstral supports on-premises and fully air-gapped deployment, which New Relic's SaaS model does not.
How does Opstral compare to New Relic AI, the natural language assistant?
They answer different questions. New Relic AI helps an engineer investigate observability data in natural language: 'why is checkout slow this morning'. Opstral's Sentinel takes the same question further: it investigates, decides on a fix, executes it and verifies recovery, without waiting for an engineer to type the question. For most incidents the useful answer is action, not another question in a chat window.
What happens to our NRQL dashboards if we adopt Opstral?
Nothing. Dashboards, NRQL queries, saved views and alerts stay in New Relic. Opstral consumes the events and telemetry through the Integration Connector; the engineers who live in New Relic keep the interface they know.