<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Distributed-Systems on Ghafoor's Personal Blog</title><link>http://ghafoorsblog.com/tags/distributed-systems/</link><description>Recent content in Distributed-Systems on Ghafoor's Personal Blog</description><generator>Hugo</generator><language>en</language><managingEditor>noreply@example.com (AG Sayyed)</managingEditor><webMaster>noreply@example.com (AG Sayyed)</webMaster><copyright>Copyright © 2024-2026 AG Sayyed. All Rights Reserved.</copyright><lastBuildDate>Sat, 16 May 2026 17:42:12 +0100</lastBuildDate><atom:link href="http://ghafoorsblog.com/tags/distributed-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>Debugging Complex Systems</title><link>http://ghafoorsblog.com/courses/google/it-automation-content/it-automation-python-pcert/04-troubleshooting-debugging/04-module/009-complex-system/</link><pubDate>Thu, 13 Nov 2025 16:47:58 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/google/it-automation-content/it-automation-python-pcert/04-troubleshooting-debugging/04-module/009-complex-system/</guid><description>&lt;p class="lead text-primary"&gt;
This document explores debugging techniques for complex distributed systems involving multiple services, covering systematic log analysis across service boundaries, identifying what changed between working and failing states, rollback strategies, load balancer troubleshooting, removing faulty servers from pools, and managing cloud-based infrastructure with resource limits and automated deployment pipelines.
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&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Troubleshooting problems on a single computer differs significantly from debugging complex systems with many interacting services. When multiple computers and services work together to provide functionality, problems can arise from any component or their interactions. Effective debugging requires understanding the bigger picture, analyzing logs across services, identifying changes, and managing infrastructure at scale.&lt;/p&gt;</description></item><item><title>Dealing with Complex Growing Systems</title><link>http://ghafoorsblog.com/courses/google/it-automation-content/it-automation-python-pcert/04-troubleshooting-debugging/02-module/14-dealing-complexity/</link><pubDate>Tue, 11 Nov 2025 22:50:09 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/google/it-automation-content/it-automation-python-pcert/04-troubleshooting-debugging/02-module/14-dealing-complexity/</guid><description>&lt;p class="lead text-primary"&gt;
This document explores performance troubleshooting in complex distributed systems where multiple components interact through networks. It demonstrates diagnostic strategies using monitoring infrastructure to identify bottlenecks, optimization techniques including database indexing and caching, scaling approaches through distribution and load balancing, and the importance of questioning whether complex layers are actually necessary.
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&lt;h2 id="understanding-system-growth-and-complexity"&gt;Understanding System Growth and Complexity&lt;/h2&gt;
&lt;h3 id="the-nature-of-growing-systems"&gt;The Nature of Growing Systems&lt;/h3&gt;
&lt;p&gt;Systems that grow in usage also grow in complexity. In large complex systems, there are many different computers involved. Each one does a part of the work and interacts with the others through the network.&lt;/p&gt;</description></item></channel></rss>