<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Monitoring on pyToshka's DevSecOps Blog</title><link>https://blog.pytoshka.me/en/tags/monitoring/</link><description>Recent content in Monitoring on pyToshka's DevSecOps Blog</description><generator>Hugo</generator><language>en-US</language><managingEditor>ping@pytoshka.me (pyToshka)</managingEditor><webMaster>ping@pytoshka.me (pyToshka)</webMaster><lastBuildDate>Sun, 26 Apr 2026 00:09:11 +0400</lastBuildDate><atom:link href="https://blog.pytoshka.me/en/tags/monitoring/index.xml" rel="self" type="application/rss+xml"/><item><title>Wazuh + AWS Bedrock: AI Security in Docker (Part 1)</title><link>https://blog.pytoshka.me/en/post/wazuh-aws-bedrock-mcp-part-1/</link><pubDate>Mon, 16 Mar 2026 00:00:00 +0000</pubDate><author>ping@pytoshka.me (pyToshka)</author><guid>https://blog.pytoshka.me/en/post/wazuh-aws-bedrock-mcp-part-1/</guid><description>&lt;h2 id="introduction"&gt;
 Introduction
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&lt;/h2&gt;&lt;p&gt;In the &lt;a href="https://blog.pytoshka.me/en/post/local-ollama-in-the-wazuh-dashboard-for-llm-powered-insights/"&gt;previous article&lt;/a&gt; we embedded a local Ollama model directly into the Wazuh Dashboard chat via ML Commons. That approach provides full control over data with no cloud dependencies. In this series we take a parallel path: using &lt;strong&gt;AWS Bedrock&lt;/strong&gt; - specifically &lt;strong&gt;Claude Sonnet 4.5&lt;/strong&gt; - as the inference backend, while all security data stays strictly within the local Docker network.&lt;/p&gt;</description></item><item><title>Wazuh LLM: Fine-Tuned Llama 3.1 for Security Analysis</title><link>https://blog.pytoshka.me/en/post/wazuh-llama-security-event-analysis/</link><pubDate>Thu, 02 Oct 2025 00:00:00 +0000</pubDate><author>ping@pytoshka.me (pyToshka)</author><guid>https://blog.pytoshka.me/en/post/wazuh-llama-security-event-analysis/</guid><description>&lt;h2 id="introducing-wazuh-llm-why-specialized-security-analysis-matters"&gt;
 Introducing Wazuh LLM: Why Specialized Security Analysis Matters
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&lt;/h2&gt;&lt;p&gt;In the cybersecurity world, SOC specialists deal with massive streams of security events daily. Analyzing each alert requires deep knowledge, experience, and time. That&amp;rsquo;s why I created a specialized language model to assist security analysts in their day-to-day operations.&lt;/p&gt;</description></item><item><title>Enhancing Wazuh with Ollama: Cybersecurity Boost (Part 4)</title><link>https://blog.pytoshka.me/en/post/wazuh-integration-with-ollama-part-4/</link><pubDate>Sat, 01 Mar 2025 00:00:00 +0000</pubDate><author>ping@pytoshka.me (pyToshka)</author><guid>https://blog.pytoshka.me/en/post/wazuh-integration-with-ollama-part-4/</guid><description>&lt;h2 id="continuing-the-series-integrating-a-wazuh-cluster-with-ollama---part-4-configuration-and-implementation"&gt;
 Continuing the Series: Integrating a Wazuh Cluster with Ollama - Part 4. Configuration and Implementation
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&lt;/h2&gt;&lt;p&gt;&lt;strong&gt;Related:&lt;/strong&gt; Check out our &lt;a href="https://blog.pytoshka.me/en/post/wazuh-llama-security-event-analysis/"&gt;Wazuh LLM fine-tuned model&lt;/a&gt; for specialized security event analysis.&lt;/p&gt;</description></item><item><title>Enhancing Wazuh with Ollama: Cybersecurity Boost (Part 3)</title><link>https://blog.pytoshka.me/en/post/wazuh-integration-with-ollama-part-3/</link><pubDate>Thu, 27 Feb 2025 00:00:00 +0000</pubDate><author>ping@pytoshka.me (pyToshka)</author><guid>https://blog.pytoshka.me/en/post/wazuh-integration-with-ollama-part-3/</guid><description>&lt;h2 id="wazuh-and-ollama-part-3-creating-integration-between-your-wazuh-cluster-and-ollama"&gt;
 Wazuh and Ollama: Part 3. Creating Integration Between Your Wazuh Cluster and Ollama
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&lt;/h2&gt;&lt;p&gt;Wazuh offers vast and nearly limitless possibilities for integration with various systems. Even if a specific feature is missing, you can always create your own custom integration.&lt;/p&gt;</description></item><item><title>Enhancing Wazuh with Ollama: Cybersecurity Boost (Part 2)</title><link>https://blog.pytoshka.me/en/post/wazuh-integration-with-ollama-part-2/</link><pubDate>Wed, 26 Feb 2025 00:00:00 +0000</pubDate><author>ping@pytoshka.me (pyToshka)</author><guid>https://blog.pytoshka.me/en/post/wazuh-integration-with-ollama-part-2/</guid><description>&lt;h2 id="wazuh-and-ollama-part-2-deploying-the-wazuh-cluster"&gt;
 Wazuh and Ollama: Part 2. Deploying the Wazuh Cluster
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&lt;/h2&gt;&lt;p&gt;Now it&amp;rsquo;s time to set up &lt;strong&gt;Wazuh&lt;/strong&gt;, which we will integrate with &lt;strong&gt;Ollama&lt;/strong&gt;.&lt;/p&gt;</description></item><item><title>Enhancing Wazuh with Ollama: Cybersecurity Boost (Part 1)</title><link>https://blog.pytoshka.me/en/post/wazuh-integration-with-ollama-part-1/</link><pubDate>Mon, 24 Feb 2025 00:00:00 +0000</pubDate><author>ping@pytoshka.me (pyToshka)</author><guid>https://blog.pytoshka.me/en/post/wazuh-integration-with-ollama-part-1/</guid><description>&lt;h2 id="introduction"&gt;
 Introduction
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&lt;/h2&gt;&lt;p&gt;Welcome to the first part of our guide on enhancing &lt;strong&gt;Wazuh&lt;/strong&gt; with &lt;strong&gt;Ollama&lt;/strong&gt;!&lt;/p&gt;</description></item><item><title>Meet me</title><link>https://blog.pytoshka.me/en/page/about/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><author>ping@pytoshka.me (pyToshka)</author><guid>https://blog.pytoshka.me/en/page/about/</guid><description>&lt;h2 id="professional-summary"&gt;
 &lt;strong&gt;Professional Summary&lt;/strong&gt;
 &lt;a class="header-anchor" href="#professional-summary" aria-label="Permalink to this section"&gt;
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&lt;/h2&gt;&lt;p&gt;Senior Site Reliability Engineer with 14+ years building, scaling, and maintaining critical infrastructure across diverse technology environments.&lt;/p&gt;</description></item></channel></rss>