# Ollama integration for secure AIOps | ManageEngine OpManager

## Achieve sovereign AIOps with Ollama integration

- Get instant health summaries
- Convert alerts into insights
- Generate scripts with natural language

![Storage monitoring](https://cdn.manageengine.com/sites/meweb/images/network-monitoring/images/opmanager_ollama_capabilities.svg)

## Secure Gen-AI integrations for regulated industries

Organizations in regulated industries cannot ship or process sensitive telemetry data through cloud-based AI service providers because of compliance requirements and governmental regulations. OpManager provides a secure alternative by integrating with a locally deployed Ollama runtime. This fully on-premises deployment helps you monitor and process sensitive telemetry data without shipping it out of your network premises.

### Features

#### Get quick insights into device health with real-time AI overviews

- Generate instant status summaries of your monitored devices at the click of a button.
- Summarize the health and performance status of individual assets or collectively at the device group level to find recurring patterns and wider infrastructure trends.
- Get visibility into key metrics like CPU, memory, and processes, potential root causes, and troubleshooting suggestions to fix device level issues.

![ollama integration](https://www.manageengine.com/network-monitoring/images/ollama_10_group_summary.png)

#### Identify the root cause of IT issues with alarm summaries

- Analyze IT incidents at a deeper level with AI-generated alarm summaries.
- Summarize all active alarms to identify wider infrastructure trends and the alarm history of individual devices to simplify troubleshooting.
- Extract the probable root cause, severity classification, estimated network impact, and troubleshooting suggestions and them as notes for your technicians to reference.

![Gain complete visibility into storage performance with threshold-based monitoring](https://www.manageengine.com/network-monitoring/images/single_alarm_surmmary.png)

#### Monitor custom and non-standard metrics with natural language-based script generation

- Describe your specific monitoring requirements in natural language to automatically produce fully formed, ready-to-deploy script templates.
- Leverage Ollama locally to generate scripts for PowerShell, Linux shell, VBScript, Perl, and Python inside OpManager's script monitoring engine.
- Monitor custom and non-standard metrics effortlessly without the risk of human errors.

![Automate storage management with AI powered capacity insights](https://www.manageengine.com/network-monitoring/images/ollama_8_global_script_generation.png)

#### Leverage advanced AIOps features without worrying about AI tokens

- Eliminate operational overheads and expensive AI tokens by running AI workloads through free, open-source, local LLM runtimes.
- Generate an unlimited number of device, group, and alarm summaries without hitting public API rate limits or incurring hidden monthly subscription premiums.
- Scale your infrastructure-wide automation and script generation effortlessly across thousands of network endpoints.

![One-click cloud storage monitoring for a unified view](https://www.manageengine.com/network-monitoring/images/ollama_integration.png)

## Use cases for all teams and verticals

### On-premises security for BFSI teams

Faced with strict financial regulations like PCI-DSS and GLBA, a bank's IT compliance auditor cannot risk routing internal network metrics to a public cloud. To verify that a core transactional server is operating correctly, the auditor uses the Device Summary option. OpManager leverages Ollama to securely process CPU, memory, and configuration data entirely on-premises, providing a complete health overview that proves data privacy remains completely uncompromised.

### Air-gapped ITOps for the government sector

Managing infrastructure on an air-gapped defense network, a federal systems administrator is flooded with isolation alerts after a routine patching cycle. Because the environment lacks external internet connectivity, traditional cloud-based AI tools are useless. The administrator opens the "All Alarms Summary" in OpManager, allowing the local Ollama instance to collectively analyze the active events and output a prioritized incident synopsis without ever exposing sensitive national infrastructure details to the public web.

### Secure diagnostics for healthcare providers

During a peak hospital shift, an electronic health record (EHR) database server experiences a performance irregularity that threatens access to patient charts. To isolate the issue without violating HIPAA data governance rules, a health-tech engineer clicks the "Alarm Summary" button. Ollama safely evaluates the fault details within the hospital's private server room, delivering an immediate root cause assessment and a structured troubleshooting workflow to restore medical systems fast.

### Resilient downtime prevention for the manufacturing industry

On an automated factory floor, a critical assembly line robot experiences an unexpected telemetry irregularity that threatens to halt production. Because the manufacturing plant operates on a secure, low-latency Industrial IoT (IIoT) network with strict edge data governance, shipping sensor data to an external cloud for analysis is a security risk. The on-site automation engineer opens OpManager and clicks the "Device Summary" option on the robot's snapshot page. The local Ollama instance instantly processes the performance irregularities within the factory's private network.

## LLM models supported in OpManager

### Ollama LLM models

- Llama
- Mistral/Mixtral
- Gemma
- Qwen

### API based cloud LLM models

- [OpenAI](https://www.manageengine.com/network-monitoring/openai-integration.html?ollama)
- [DeepSeek](https://www.manageengine.com/network-monitoring/help/integrate-opmanager-with-deepseek.html?ollama)

## What sets OpManager's Ollama integration apart?

### Absolute privacy

Enforce compliance with privacy regulations by keeping your data inside your own infrastructure. OpManager's on-premises deployment communicates with the locally hosted Ollama runtime to safely process sensitive telemetry data.

### Cost-effectiveness

Use a free, open source LLM runtime to use AIOps functionalities without worrying about monthly bills or token usage. OpManager offers advanced AIOps functionalities and integrations with AI tools without charging extra licensing costs.

### Real-time visibility

Get instant, in-depth overviews into your infrastructure without having to manually correlate data from your devices, alarms, and events. OpManager can instantly summarize data at the alarm level, device level, and device group level to give you top-down visibility into your network.

### Zero downtime

Move away from cloud outages, data residency concerns, and geopolitical instabilities by deploying your monitoring and AIOps on-premises. OpManager's Ollama allows for continuous, low latency data processing at no additional costs.

## FAQs on Ollama Integration

### What is the OpManager Ollama integration?

The Ollama integration is an on-premises Generative AI capability for OpManager. It allows IT teams to securely link their network monitoring telemetry with locally hosted Large Language Models (LLMs) via an open-source runtime, enabling private data summaries and automated script generation.