Achieving sovereign and secure AIOps with Ollama and OpManager

Enterprise IT networks power business operations across the world. As businesses scale to catch up with an increasingly-demanding user base, networks also grow more complex. IT teams managing these networks have to monitor more data than before, under more stringent SLA terms, with little room for failure. Trying to do this manually across thousands of devices can take a lot of time and effort, and are prone to errors.

Artificial intelligence in IT operations, or AIOps, helps resolve this by correlating events, identifying root causes, and predicting potential issues before they impact the users. IT teams across the world are adopting IT tools with AIOps capabilities to simplify their monitoring. However, most IT tools use cloud-based tools to deliver AIOps. This is problematic in certain industries where shipping sensitive data to the public cloud poses severe security and compliance risks.

To bridge this gap, ManageEngine OpManager now integrates with Ollama. Organizations can now integrate OpManager's on-premises monitoring with locally hosted LLMs. This enables you to efficiently leverage powerful AIOps features without shipping any data outside the network.

The core challenges of modern ITOps 

Managing massive distributed networks raises several unique challenges:

  • Alert storms: When a primary device like a core switch goes down, it triggers a domino effect of secondary alarms across connected servers, virtual machines, and storage arrays.

  • Data exfiltration and compliance risks: Sharing internal configurations, proprietary routing tables, and infrastructure metrics with external cloud AI entities may violate security benchmarks like ISO 27001 or SOC 2.

Meeting zero-trust demands in regulated industries 

While data privacy is important for any business, it is an operational necessity for organizations in the defense, government, banking, financial, and healthcare.

  • Defense and government: Agencies often operate within secure air-gapped networks. Using public cloud-hosted AIOps is off the table. Exposing core systems to external APIs introduces attack surfaces and violates sovereign data protection protocols.

  • Banking and finance: Organizations in the BFSI sector use legacy infrastructure to manage critical operations. Using externally hosted AIOps may expose PII and potentially cause violations of standards like BCBS 239, PCI DSS, EU Data Act, etc.

  • Healthcare infrastructure: Hospitals and healthcare providers must maintain strict compliance with frameworks like HIPAA. Real-time network syslog data or device snapshots can expose ePHI. Sending telemetry outside to an external LLM may cause a compliance violation.

The OpManager and Ollama integration helps resolve these concerns. The entire LLM architecture runs locally behind the enterprise firewall, creating an impenetrable boundary for sensitive data. It brings the efficiency of AIOps to teams that are usually locked out of cloud-based AI advancements.

Taming network chaos with GenAI: How the OpManager-Ollama integration works

Network monitoring software are excellent at collecting telemetry: such as latency, packet loss, CPU cycles, memory loads, and bandwidth use. However, connecting these pieces to understand the ultimate root cause of an outage requires heavy manual effort.

With Ollama, OpManager uses the private GenAI models like Llama, Mistral, Gemma, or Qwen to locally analyze IT asset health and alert patterns. This setup gives you clear advantages in several areas:

Simplify alarm response

When multiple alerts trigger at once, you can display all active alarms into a concise summary. This helps you to extract just the key facts while leaving out unnecessary noise. You can summarize the alarm history of a specific device to analyze recurring issues and trends. The Ollama integration also gives you AI generated troubleshooting recommendations.

Streamline device assessments  

You can review the health of your IT assets with a single click. The device summary feature recaps a device's data on-demand. It looks over the key metrics and generates a brief written overview of the device's operational status.

IT teams usually manage IT assets belonging to separate departments and regional branches by adding them to groups. OpManager's device group summary feature gives you a summary of the health and performance of the devices in a particular group.

Monitoring custom and non-standard metrics

Beyond analyzing alarms, the integration provides direct support for automation through built-in script generation.

This enables you to track custom performance metrics without drafting it from scratch or browsing online repositories. You can simply generate them with Ollama's locally hosted AI. GenAI tools automatically drafts the required script from a natural language prompt. You can then review the code and save it as a template.

Setting up secure, flexible local AI 

Because the Ollama integration is designed for enterprise environments that place a high premium on security, configuring the feature is simple and completely self-contained. OpManager has a built-in feature where you can configure the integration.

Learn more about setting up the Ollama integration here.

OpManager supports all of the locally hosted LLMs in Ollama like Llama, Mistral, Qwen or Gemma, and more.

Check out the integration today!

Maintaining comprehensive visibility and responding to incidents quickly shouldn't mean compromising data privacy. By bringing local AIOps into OpManager's monitoring, you can simplify ITOps while keeping all sensitive data secure.

Try out OpManager's Ollama integration with a free, 30 day trial today!