ManAIge: Intelligent AIOps for HPE Nonstop Servers

Reading the Entire Book — Not Just the Cover

How fast can you judge a book by its cover?

How long would it take to truly understand a million-page epic — and then accurately predict the next volume in the series?

Traditional Nonstop monitoring tools only scratch the surface. They watch CPUs, processes, programs, and a handful of files — essentially reading just the cover and a few random pages.

ManAIge reads the entire book in seconds.

It continuously analyzes every layer of your HPE Nonstop environment — every transaction, log, dependency, performance metric, and historical pattern — refreshing its understanding every minute. More importantly, it forecasts what the “next chapters” will look like up to a full year ahead.

This deep, real-time intelligence enables ManAIge to deliver what no conventional monitor can:

  • Predict issues before they occur and provide actionable warnings with enough lead time to intervene.
  • Explain every incident with clarity: Who caused it, who was affected, what must be done to fix it, and how to prevent recurrence.
  • Automatically remediate problems when authorized — while always keeping the team informed.

In short, ManAIge transforms reactive system monitoring into proactive, intelligent operations. It doesn’t just watch your Nonstop servers — it truly understands them and helps you run them better than ever before.

Stop reading covers. Start mastering the whole story with ManAIge.

ManAIge Logo

The Culmination of a Long Journey

Idelji, based in Santa Monica, California, has been delivering automated management solutions for HPE Nonstop, Windows, and Linux environments for decades. Our guiding principles have remained consistent:

  • Deliver immediate business value.
  • Build open, generic architectures that work across platforms.
  • Stay ahead of technology while ruthlessly eliminating unnecessary code.
  • Maintain an extremely light footprint on the host platform, performing heavy analytics off-platform.
  • Evolve naturally from Live Monitoring → Deep Analytics → AI and beyond.

Our journey started with Web ViewPoint Enterprise, now the leading live monitoring solution in the Nonstop community.

We followed this with Local Analyst, which provides deep historical and relational analytics. A single click from the top-level monitor drops users “down the rabbit hole” into tens of millions of interconnected data points — the full epic story behind every surface-level metric. What happens at this deep level directly shapes what operators see on top.

From Analytics to True AIOps

We began developing what would become ManAIge years before ChatGPT captured the world’s attention. Our mission was clear: Create practical, powerful AIOps for Nonstop — and beyond — capable of handling both system performance and business data. Ask, and it shall answer.

The path included the usual challenges of innovation: code we had to discard, architectures we adjusted, and technical paths we redirected. The graphics accompanying this article represents that collaborative team effort — each engineer contributing a vital piece of the puzzle.

When “Should” Became “Must”

Many organizations have outsourced Nonstop operations to service providers. While this reduced internal overhead, it often replicated the same manual, macro-driven processes at larger scale — frequently with staff less familiar with each customer’s unique environment. A single failure could now impact multiple customers simultaneously.

This growing risk turned innovation from a “should” into a “must.” AI became the logical solution.

How ManAIge Works

Data is Data. Modern computers share remarkably similar relational architectures. We designed ManAIge on a flexible, future-proof foundation ready to assimilate new AI advancements with minimal disruption.

Train and Learn. ManAIge was first taught general computing concepts, then allowed to study each customer’s specific environment — learning normal patterns by time of day, weekday, and season. It then began predicting future behavior days, weeks, and months ahead.

Observe • Analyze • Predict • Act. In operation, ManAIge:

  • Compares real-time activity against expected patterns.
  • Determines whether an anomaly warrants immediate attention.
  • Traces root causes, identifies all affected components and applications, and assembles precise remediation steps.
  • Delivers a clear, evidence-based storyline — all in under 3 seconds.
  • Learns from human feedback to continuously refine its understanding.

When authorized, it can execute fixes autonomously and simply report completion.

Trust Takes Time — And That’s Okay

ManAIge is now being rolled out across our customer base. We quickly learned that the slowest element in any AI deployment is often the human team. Building trust between operators and AI requires time and validation.

That is why ManAIge is introduced alongside the familiar Web ViewPoint Enterprise and Local Analyst. Engineers can cross-check recommendations against known data until confidence grows — which it reliably does.

The rapid adoption of large language models in everyday life is accelerating this trust curve. ManAIge is simply that same helpful intelligence, now focused on your mission-critical Nonstop environment.

What’s Next?

End customers and service providers alike will benefit from higher operational quality, lower costs, and dramatically reduced risk. ManAIge only becomes smarter over time.

At Idelji, our goal is straightforward: Use innovation to elevate the value of HPE Nonstop platforms and position them as the logical choice for modern, high-stakes commerce — especially FinTech.

We invite the entire Nonstop community to join us on this journey.

Stay tuned.

Author

  • Khody Khodayari is a long-standing contributor to the HPE NonStop community with emphasis in Server operation automation and predictive analytics.
    With the support of his team at Idelji ( idelji.com ), Khody's innovations in automation and cloud-based analytics have significantly improved productivity across the HPE NonStop™ community. His current focus is on furthering Automation and implementing Server focused A.I. for HPE NonStop™ and IBM Z Servers.

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