Moogsoft and Dell APEX Alternative: Open Source Agentic AIOps

Key Takeaways

• Moogsoft is not discontinued. It was acquired by Dell in 2023 and lives on as Dell APEX AIOps Incident Management, an actively maintained enterprise product.
• Dell calls Moogsoft 'the original AIOps pioneer' and the platform ships with a portfolio of more than 50 patents built on statistical machine learning for event correlation and noise reduction.
• Dell APEX is closed source, sold through Dell contracts and service agreements, and the related Infrastructure Observability tier is gated behind ProSupport contracts. There is no public per-seat or per-incident price list.
• Aurora by Arvo AI is open source under Apache 2.0, self-hosted, air-gap capable, and free to run.
• The deepest difference is approach: Dell APEX correlates and reduces noise, while Aurora runs LangGraph agents that actively investigate across clouds and execute read-only commands in sandboxed pods.
• Aurora ingests alerts from 11 monitoring connectors plus a Slack bot, so it can layer AI investigation on top of whatever routing tool you already use.

If you have evaluated Moogsoft over the years, you know it as the company that popularized machine-learning event correlation. It is still here, now under Dell, and it is still good at what it does. The honest question for a 2026 SRE team is not whether Dell APEX AIOps works. It is whether a closed, contract-gated correlation engine is the right shape for how incident response is changing, and whether an open source agent that investigates and acts is a better fit for your stack and your budget.

This post compares Dell APEX AIOps Incident Management (formerly Moogsoft) with Aurora, an open source AI SRE platform. For broader context on where correlation engines sit relative to AI SRE tooling, see our explainer on AI SRE versus AIOps.

What is Moogsoft, now Dell APEX AIOps Incident Management?

Dell APEX AIOps Incident Management is the current name for Moogsoft, the AIOps platform Dell acquired in 2023. It is an actively maintained, enterprise-grade event correlation and incident intelligence product, not a discontinued tool.

Moogsoft launched in 2012 and raised more than 92 million dollars before Dell acquired it. Dell folded it into the APEX AIOps family alongside Infrastructure Observability (formerly CloudIQ) and Application Observability. In Dell's own words, Moogsoft is 'the original AIOps pioneer,' and the Incident Management product carries a portfolio of more than 50 patents.

What it does well is genuine. The platform ingests operational data from a wide range of multivendor monitoring tools and applies supervised and unsupervised machine learning, deduplication, and correlation to turn hundreds of thousands of raw events into a handful of actionable incidents. Dell cites customer research showing a 99 percent-plus reduction in event noise, a 50 percent-plus reduction in service tickets, and a 93 percent reduction in customer-reported issues. For a large NOC drowning in alerts across many vendors, that noise reduction is the core value, and it is real.

The product is documented under the Moogsoft Cloud documentation site, which Dell now operates. It is a cloud SaaS, sold and supported through Dell.

What is Aurora?

Aurora is an open source AI SRE platform that autonomously investigates incidents and can execute remediation steps, rather than only correlating and reducing alert noise. It is licensed under Apache 2.0, self-hosted, and free.

When an alert fires, Aurora's LangGraph-orchestrated agents start an investigation. They query cloud provider APIs across AWS, Azure, GCP, OVH, Scaleway, and Kubernetes, and they run read-only kubectl, aws, az, and gcloud commands inside sandboxed Kubernetes pods. Aurora builds a Memgraph infrastructure knowledge graph to reason about blast radius across services, generates a root-cause analysis and a postmortem you can export to Confluence, Notion, or SharePoint, and can suggest code fixes or open a pull request. Destructive actions are human-gated.

Aurora ingests alerts via webhook from 11 monitoring connectors: PagerDuty, Datadog, Grafana, New Relic, OpsGenie, Netdata, Dynatrace, Coroot, ThousandEyes, BigPanda, and incident.io, plus a Slack bot for collaboration. Because it is self-hosted and supports bring-your-own-LLM through Ollama, it can run fully air-gapped with no data leaving your environment. For a deeper look at running this kind of tooling in your own infrastructure, see our guide to self-hosted AI SRE.

Correlation versus investigation: the core difference

The honest head-to-head is not feature checklists, it is approach. Dell APEX AIOps is a correlation engine: it is excellent at compressing event noise into incidents. Aurora is an investigation engine: it takes an incident and actively goes and looks at your infrastructure to find why it broke.

Both reduce toil, but at different stages of the incident lifecycle. Dell APEX answers 'which alerts belong to the same problem' using patented statistical machine learning. Aurora answers 'what is actually wrong and what should we do about it' by querying clouds, traversing a dependency graph, and running diagnostic commands. The two are not mutually exclusive in theory, but in practice teams adopting agentic investigation tend to want the openness and execution that a closed correlation product does not offer. We cover this distinction in depth in AI SRE versus AIOps.

A second difference is openness. Dell APEX is proprietary and sold through Dell. Aurora is auditable source code you can read, fork, and self-host. For regulated or sovereign environments, the ability to run entirely on your own hardware with local models is often the deciding factor.

Dell APEX AIOps versus Aurora at a glance

How does Dell APEX AIOps pricing work?

Dell APEX AIOps is sold through Dell contracts, and there is no public per-seat or per-incident price list to quote. Pricing is handled as a Dell service offering with its own service agreement and terms.

The related Infrastructure Observability tier (formerly CloudIQ) is included at no additional cost for customers with active Dell ProSupport or higher service contracts, which is a genuine benefit if you already run Dell hardware. The Incident Management product itself, the part that came from Moogsoft, is a separate commercial SaaS subscription. Because the published terms route through Dell sales and support agreements rather than a self-service price page, budgeting requires a sales conversation, and the lock-in is to the Dell ecosystem and ProSupport contract structure.

Aurora's pricing model is different in kind, not degree. The software is free under Apache 2.0. Your only costs are the infrastructure you run it on and your LLM usage, and if you use local models through Ollama, the LLM cost can be zero. For a wider survey of free and open source options, see our roundup of the top AIOps platforms with free root cause analysis.

A note on routing: Aurora does not replace your on-call tool

Aurora is an investigation layer, not an alert router or on-call scheduler. It does not replace tools like PagerDuty or Grafana OnCall. It sits on top of them.

This matters in 2026 because the routing landscape shifted. The open source Grafana OnCall project entered maintenance mode and the repository moved toward full archival on March 24, 2026, with Grafana steering users to Grafana Cloud IRM. If you ran OnCall OSS for routing, you now need an alternative routing layer, for example Keep, or notifications through services like ntfy or Twilio. Aurora is complementary to whatever you choose: routing and scheduling decide who gets paged, and Aurora investigates the incident once it fires. For more on the open source incident stack, see our guide to open source incident management.

Which should you choose?

Choose Dell APEX AIOps if your priority is mature, patented event correlation across a large multivendor estate, especially if you already buy Dell infrastructure with ProSupport and want a vendor-managed SaaS with enterprise support. Its noise reduction track record is well documented and its correlation engine is a known quantity.

Choose Aurora if you want an open source, self-hosted agent that does not just correlate but actively investigates and can execute, if you need multi-cloud breadth beyond a single vendor, if data sovereignty or air-gapped operation rules out a cloud SaaS, or if a Dell contract and ProSupport-gated model does not fit your budget or your stack. Aurora also gives you full source transparency into how the agent reasons about your production systems.

Many teams will run both for a transition period: keep a correlation layer to compress noise, and add Aurora as the open source AI investigation layer that turns a correlated incident into a root cause and a fix. If you have a feature gap, the Arvo AI team builds custom integrations with users, so reach out and they will work through it with you.

Getting started with Aurora

Aurora installs from its GitHub repository via Docker Compose or a Helm chart. Point your monitoring webhooks at it, add cloud credentials, and investigations start automatically when alerts fire. Pick any LLM provider, or run local models for fully air-gapped operation. The full deployment guides live in the project documentation.