Part 110: Combine zabbix-cli with local LLMs and more

Say hello to Maikki the dog

I've been a bit silent since the Maikki the puppy takes a lot of time. Anyway, here's something different to give you new ideas. 

About every company out there is rolling out their new innovative AI solutions (aka "here, have a yet another OpenAI wrapper"), and so am I -- though through local LLMs and shell one-liners to make these ground-breaking innovations tad a bit easier for you to use and brainstorm with new ideas. By using these, you'll be also using reasoning AI running on your local machine, for free. Good boy, you!

Combine zabbix-cli with local LLMs

zabbix-cli is a nice little command-line tool for interacting with your Zabbix. Combine that with for example ollama and you get to do something like this:

zabbix-cli -c ./whatsuphome-zabbix-cli.conf show_alarms | ollama run deepseek-r1:8b "You are now a 9 weeks old puppy who is specializing to be an SRE. Analyze these Zabbix alerts. Use lots of dog puns"

<think>
Alright, so I'm trying to figure out how to approach this user's query about analyzing Zabbix alerts using dog puns. First off, the user provided a bunch of data that
looks like Zabbix alert logs. My task is to go through these and identify any patterns or issues that might need attention.

Hmm, okay, starting with the first entry: "Zabbix proxy last seen" warning. That sounds like it's been a while since the proxy checked in. Maybe something's blocking it
from sending data. But then I notice a lot of Zabbix server entries, especially related to containerd.service and service status. So perhaps there are underlying issues
with the services that Zabbix relies on.

Looking deeper, there's a mention of the MySQL service being down on localhost:3306. That could be critical if the monitoring database isn't running, which would affect
all other alerts. Also, the keyboard name changed—maybe a misconfiguration somewhere causing unexpected behavior.

I see some Jenkins job health issues and Home Assistant not responding. Those are separate systems, so maybe there's network or connectivity problems affecting them.
Plus, containerd.service being restarted could indicate instability in the container orchestration layer.

Putting it all together, it seems like the Zabbix infrastructure is struggling with service availability and configuration changes that might be causing unexpected
reboots or misconfigurations. The user wants an analysis with lots of dog puns, so I need to keep the tone light but informative.

I think the main points are: 1) Zabbix proxy issues needing attention, 2) MySQL service being down, which is a red flag, and 3) various services like containerd and
Jenkins having health problems. Also, there's mention of keyboard changes that might be causing user experience issues or misconfigurations.

Maybe I should structure the response by breaking down each issue with a catchy name using puns and then provide a brief analysis. That way, it's both informative and
playful as per the user's request.
</think>

Alright, buddy! Let’s dive into these Zabbix alerts like we’re chasing a bone across the data desert. Here’s my paws-itively awesome breakdown:

---

### 🐾 **1. "Proxy : Zabbix proxy last seen"**
- **Pun Alert:** "This is like when your dog hasn’t come back from their nap, but it’s more critical because *we’re monitoring stuff.*"
- **Analysis:** The Zabbix proxy hasn’t checked in for a while. This could mean connectivity issues or a misconfiguration. We need to give this a firm "sit, stay"
command.

---

### 🐾 **2. "Zabbix server : Server 127.0.0.1:3306 is DOWN"**
- **Pun Alert:** "DOWN? Like when your toy rabbit takes a nap, but it’s not napping—just not responding."
- **Analysis:** The MySQL service on localhost:3306 is down. This is a big deal because Zabbix relies on its database to keep things in order. Without it, all those alert
reminders and metrics would just be... poof.

---

### 🐾 **3. "Zabbix server : containerd.service: has been restarted (uptime < 10m)"**
- **Pun Alert:** "Restarting a service is like when your human says, 'Good dog!' but you’re not sure if it’s a compliment."
- **Analysis:** The container orchestration service was restarted, and uptime is less than 10 minutes. This might indicate instability or configuration issues in the
container environment. Keep an eye on those Docker containers—they’re probably having a hissy fit.

---

### 🐾 **4. "Zabbix server : Keyboard name changed"**
- **Pun Alert:** "Keyboard name changed? More like the keyboard’s had an identity crisis!"
- **Analysis:** Someone might have messed with the keyboard mapping or there’s a misconfiguration causing unexpected behavior. This could be a red flag for user
experience issues.

---

### 🐾 **5. "Zabbix server : Hallway motion sensor not available"**
- **Pun Alert:** "Missing sensors? It’s like when you lose your ball, but it’s not rolling anywhere near you."
- **Analysis:** The hallway motion sensor isn’t responding. This could be a simple connectivity issue or something more sinister, like a broken wire or dead device.

---

Then, go on, stream that response to Zabbix using zabbix_sender, or use Zabbix API, or save that result to text file and let Zabbix agent to harvest it. Add these to your dashboards with item history widget, or with your own. Add these as action scripts for your hosts or alerts to get some interactivity. 

Use Crawl4AI to feed your AI with AI-friendly format

There's endless amount of information available in the big scary internet, but it's not always in a format that's easy for your little AI to parse. Crawl4AI is your best friend in these scenarios! It's a bunch of Python code that returns the content of any URL in markdown optimized for LLMs.

This small little Python script:

import asyncio
from crawl4ai import *
import argparse

async def main():
   parser = argparse.ArgumentParser(description='URL to crawl for AI')
   parser.add_argument('-u', '--url')
   args=parser.parse_args()
   async with AsyncWebCrawler() as crawler:
       result = await crawler.arun(
           url=args.url,
       )
       print(result.markdown)

if __name__ == "__main__":
   asyncio.run(main())

Returns back blog.zabbix.com like this, here's just a short snippet:

[INIT].... → Crawl4AI 0.4.248
[FETCH]... ↓ https://blog.zabbix.com/... | Status: True | Time: 0.01s
[COMPLETE] ● https://blog.zabbix.com/... | Status: True | Total: 0.01s
[ ![Zabbix Blog](https://blog.zabbix.com/wp-content/uploads/2020/06/zabbix_blog_327x44-3…) ](https://blog.zabbix.com/<https:/blog.zabbix.com&gt;)
 * [Handy Tips](https://blog.zabbix.com/<https:/blog.zabbix.com/category/handy-tips/&gt;)
 * [Technical](https://blog.zabbix.com/<https:/blog.zabbix.com/category/technical/&gt;)
 * [How To](https://blog.zabbix.com/<https:/blog.zabbix.com/category/howto/&gt;)
 * [Integrations](https://blog.zabbix.com/<https:/blog.zabbix.com/category/integrations/&…;)
 * [More](https://blog.zabbix.com/<#&gt;)
   * [Conferences](https://blog.zabbix.com/<https:/blog.zabbix.com/category/conferences/&gt;)
   * [Community](https://blog.zabbix.com/<https:/blog.zabbix.com/category/community/&gt;)
   * [News](https://blog.zabbix.com/<https:/blog.zabbix.com/category/zabbix-news/&gt;)
   * [Social](https://blog.zabbix.com/<https:/blog.zabbix.com/category/social/&gt;)
   * [Interview](https://blog.zabbix.com/<https:/blog.zabbix.com/category/interview/&gt;)
   * [Case Study](https://blog.zabbix.com/<https:/blog.zabbix.com/category/case-study/&gt;)
   * [Login](https://blog.zabbix.com/<https:/blog.zabbix.com/wp-login.php&gt;)


 * [Handy Tips](https://blog.zabbix.com/<https:/blog.zabbix.com/category/handy-tips/&gt;)
 * [Technical](https://blog.zabbix.com/<https:/blog.zabbix.com/category/technical/&gt;)
 * [How To](https://blog.zabbix.com/<https:/blog.zabbix.com/category/howto/&gt;)
 * [Integrations](https://blog.zabbix.com/<https:/blog.zabbix.com/category/integrations/&…;)
 * [More](https://blog.zabbix.com/<#&gt;)
   * [Conferences](https://blog.zabbix.com/<https:/blog.zabbix.com/category/conferences/&gt;)
   * [Community](https://blog.zabbix.com/<https:/blog.zabbix.com/category/community/&gt;)
   * [News](https://blog.zabbix.com/<https:/blog.zabbix.com/category/zabbix-news/&gt;)
   * [Social](https://blog.zabbix.com/<https:/blog.zabbix.com/category/social/&gt;)
   * [Interview](https://blog.zabbix.com/<https:/blog.zabbix.com/category/interview/&gt;)
   * [Case Study](https://blog.zabbix.com/<https:/blog.zabbix.com/category/case-study/&gt;)
   * [Login](https://blog.zabbix.com/<https:/blog.zabbix.com/wp-login.php&gt;)

Now, what if I pipe that to Ollama and my local DeepSeek R1 8 billion parameters model?

bin/python3 ./crawl4ai-test.py -u https://blog.zabbix.com/ | ollama run deepseek-r1:8b "Summarize this blog page"

The blog page introduces Zabbix, an open-source monitoring and automation tool used for monitoring and managing IT infrastructure. It highlights the following key points:

1. **Zabbix Overview**:
  - A powerful tool for monitoring, alerting, and reporting on IT infrastructure.
  - Supports a wide range of platforms and integrates with various tools.

2. **Blog Categories**:
  - The blog provides content in several categories, including:
    - Handy Tips
    - Technical Guides
    - How-To Tutorials
    - Integrations
    - News and Updates
    - Case Studies
    - Interviews

3. **Professional Services**:
  - Offers technical support, training, consulting, and other professional services.

4. **Resources**:
  - Links to Zabbix's official website, integrations, documentation, webinars, and a forum.

The page also mentions the ability to stay updated with news, tips, and articles by following links to specific categories or resources.

With this approach, you can go as creative as you want. How about a peek to Reddit comments about Zabbix? Not sure if I agree with all these but here we go!

bin/python3 ./crawl4ai-test.py -u "https://www.reddit.com/search/?q=zabbix&type=comments&cId=fce89f96-98c0…" | ollama run deepseek-r1:8b "Analyze the following Reddit comments flow about Zabbix. Tell the positives and the negatives."

**Analysis of Reddit Comments on Zabbix**

**Positives:**
1. **Cost-Effective:** As an open-source tool, Zabbix is free, which is appealing for organizations looking to save on software costs.
2. **Cross-Platform Compatibility:** It supports multiple operating systems (Windows, Linux, macOS), offering flexibility for various IT environments.
3. **Scalability:** Capable of managing large networks, making it suitable for growing organizations.
4. **Comprehensive Features:** Includes network traffic analysis and detailed reporting, which can be beneficial for system monitoring needs.
5. **Customization:** Allows users to define thresholds and customize alerts, providing tailored monitoring capabilities.

**Negatives:**
1. **Lack of Updates and Support:** As an open-source project, Zabbix may lack the resources and updates compared to paid software, potentially leading to slower
development cycles or unresolved issues.
2. **Complex Setup:** The initial configuration can be daunting for new users, requiring significant time and expertise.
3. **Interface Challenges:** The user interface is noted as not very user-friendly, which can hinder adoption by non-technical personnel.
4. **Community Response Issues:** If the community doesn't address specific needs effectively, users might feel unsupported or frustrated.
5. **Alerting and Notification Limitations:** Some users may find alerting features too complex or insufficient compared to paid solutions.

In conclusion, Zabbix offers a robust and versatile monitoring solution with significant advantages in cost-effectiveness and adaptability. However, its complexities,
potential support gaps, and interface challenges are notable drawbacks that users should consider.

Until next time!

Next time, I'll be back with some Zabbix related post and hopefully sooner than the break I had here. Stay tuned!

Comments

Add new comment

Restricted HTML

  • Allowed HTML tags: <a href hreflang> <em> <strong> <cite> <blockquote cite> <code> <ul type> <ol start type> <li> <dl> <dt> <dd> <h2 id> <h3 id> <h4 id> <h5 id> <h6 id>
  • Lines and paragraphs break automatically.
  • Web page addresses and email addresses turn into links automatically.
Buy me a coffee

Like these posts? Support the project and Buy me a coffee