<?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 Netdata</title><link>https://www.netdata.cloud/tags/distributed-systems/</link><description>Recent content in Distributed-Systems on Netdata</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 09 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.netdata.cloud/tags/distributed-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>Geo Maps: See Where Your Infrastructure Lives</title><link>https://www.netdata.cloud/blog/geo-maps/</link><pubDate>Sat, 09 May 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/geo-maps/</guid><description>&lt;p>When your infrastructure is spread across regions, data centers, branch offices, or edge locations, knowing where a node is physically located matters more than people usually admit. During an incident, &amp;ldquo;the node in the Singapore POP&amp;rdquo; communicates faster than a hostname. When you&amp;rsquo;re planning capacity, seeing geographic clustering tells you something that a flat list of nodes doesn&amp;rsquo;t. When a subset of your fleet starts misbehaving, the first question is often &amp;ldquo;is this regional?&amp;rdquo;&lt;/p></description></item><item><title>Edge Observability Without Cloud Dependency</title><link>https://www.netdata.cloud/features/architecture/edge-computing/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/features/architecture/edge-computing/</guid><description>Monitor thousands of edge nodes with per-second precision, &amp;lt;5% CPU overhead, and 90% cost reduction. Netdata&amp;rsquo;s edge-native architecture delivers complete visibility with autonomous operation, local ML, and zero configuration.</description></item><item><title>Eliminate Log Pipelines: Native Log Query At Scale</title><link>https://www.netdata.cloud/features/dataplatform/zero-pipeline-logs/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/features/dataplatform/zero-pipeline-logs/</guid><description>Netdata&amp;rsquo;s Zero Pipeline Logs architecture eliminates traditional log aggregation pipelines by leveraging native system formats. Query logs directly where they live - no shipping, parsing, or indexing required - achieving 90% cost reduction and sub-2-second latency at any scale.</description></item><item><title>Microservices Monitoring Tool Without Sampling</title><link>https://www.netdata.cloud/solutions/use-cases/microservices-observability/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/use-cases/microservices-observability/</guid><description>Netdata delivers comprehensive microservices observability with per-second metrics, ML-based anomaly detection, and AI-powered troubleshooting - all without the complexity, cost overruns, or tool sprawl that plague traditional solutions.</description></item><item><title>Open Source</title><link>https://www.netdata.cloud/open-source/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/open-source/</guid><description>The world&amp;rsquo;s most popular open source monitoring platform. Deploy complete infrastructure observability in 60 seconds with zero configuration. Trusted by millions of engineers worldwide.</description></item><item><title>Long-Term Data Storage and Retention in Netdata</title><link>https://www.netdata.cloud/blog/long-term-data-retention/</link><pubDate>Tue, 21 Jan 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/long-term-data-retention/</guid><description>&lt;p>Netdata&amp;rsquo;s database engine (dbengine) provides a sophisticated multi-tiered storage system designed for efficient long-term data retention while maintaining high granularity. This article explores the technical details of how Netdata handles metric storage, the advantages of its distributed architecture, and how to configure it for your specific needs.&lt;/p>
&lt;hr>
&lt;h2 id="database-engine-architecture">Database Engine Architecture&lt;/h2>
&lt;p>Netdata&amp;rsquo;s database engine provides a sophisticated, efficient solution for long-term metric storage through:&lt;/p>
&lt;ul>
&lt;li>Intelligent multi-tiered storage architecture&lt;/li>
&lt;li>Efficient compression and caching mechanisms&lt;/li>
&lt;li>Flexible retention strategies&lt;/li>
&lt;li>Distributed deployment options&lt;/li>
&lt;/ul>
&lt;p>This design enables organizations to maintain detailed historical data while optimizing storage use and maintaining query performance.&lt;/p></description></item><item><title>Monitoring vs Observability: Key Differences</title><link>https://www.netdata.cloud/blog/monitoring-vs-observability/</link><pubDate>Tue, 24 Oct 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/monitoring-vs-observability/</guid><description>&lt;p>As systems increasingly shift towards distributed architectures to deliver application services, the roles of monitoring and observability have never been more crucial. Monitoring delivers the situational awareness you need to detect issues, while &lt;a href="https://www.netdata.cloud/academy/what-is-observability/">observability goes a step further&lt;/a>, offering the analytical depth to understand the root cause of those issues.&lt;/p>
&lt;p>Understanding the nuanced differences between monitoring and observability is crucial for anyone responsible for system health and performance. In dissecting these methodologies, we&amp;rsquo;ll explore their unique strengths, dive into practical applications, and illuminate how to strategically employ each to enhance operational outcomes.&lt;/p></description></item><item><title>Why Scalable Monitoring Matters For Modern Systems</title><link>https://www.netdata.cloud/blog/why-scalable-monitoring-is-essential-for-modern-distributed-systems/</link><pubDate>Wed, 26 Apr 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/why-scalable-monitoring-is-essential-for-modern-distributed-systems/</guid><description>&lt;p>&lt;img src="../2023-04-26-why-scalable-monitoring-is-essential/img/stacked-netdata.png" alt="stacked-netdata">&lt;/p>
&lt;p>It&amp;rsquo;s becoming increasingly common to discuss the importance of scalability in monitoring solutions and how it can impact the performance and reliability of distributed systems.&lt;/p>
&lt;!-- truncate -->
&lt;p>In today&amp;rsquo;s rapidly evolving technological landscape, organizations are increasingly relying on distributed systems to power their operations. These systems consist of multiple interconnected components that work together to deliver a cohesive experience. They can span across different geographic locations, and often involve a combination of &lt;a href="https://www.netdata.cloud/product/cloud-on-premises/">on-premises, cloud&lt;/a>, and &lt;a href="https://www.netdata.cloud/solutions/technologies/docker-monitoring/">container-based environments&lt;/a>. As such, effectively managing these complex systems is critical to ensuring optimal performance, reliability, and security.&lt;/p></description></item><item><title>Data Collection Strategies For Infrastructure</title><link>https://www.netdata.cloud/blog/data-collection-strategies/</link><pubDate>Tue, 06 Sep 2022 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/data-collection-strategies/</guid><description>&lt;!--truncate-->
&lt;p>Monitoring and troubleshooting; unfortunately, these terms are still used interchangeably, which can lead to misunderstandings about data collection strategies.&lt;/p>
&lt;p>In this article we aim to clarify some important definitions, processes, and common data collection strategies for monitoring solutions. We will specify the limitations of the described strategies, as well as key benefits which can potentially be also used for troubleshooting needs.&lt;/p>
&lt;p>&lt;strong>IT infrastructure monitoring&lt;/strong> is a business process of collecting and analyzing data over a period of time to improve business results.&lt;/p></description></item></channel></rss>