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    <title>Lifecycle-Management on Pi Stack</title>
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    <description>Recent content in Lifecycle-Management on Pi Stack</description>
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      <title>Self-Hosted Container Registry Lifecycle Management: Harbor vs CNCF Distribution vs Zot</title>
      <link>https://www.pistack.xyz/posts/2026-05-19-self-hosted-container-registry-lifecycle-harbor-distribution-zot-guide/</link>
      <pubDate>Tue, 19 May 2026 00:00:00 +0000</pubDate>
      <guid>https://www.pistack.xyz/posts/2026-05-19-self-hosted-container-registry-lifecycle-harbor-distribution-zot-guide/</guid>
      <description>&lt;p&gt;Container registries are a critical part of any container-native infrastructure, but as teams push more images, storage costs spiral and registries become bloated with unused layers, outdated tags, and abandoned projects. Without proper lifecycle management, you end up paying for storage you don&amp;rsquo;t need and slowing down pull operations. This guide compares three leading open-source container registry solutions — &lt;strong&gt;Harbor&lt;/strong&gt;, &lt;strong&gt;CNCF Distribution&lt;/strong&gt; (formerly Docker Registry), and &lt;strong&gt;Zot&lt;/strong&gt; — focused specifically on their image lifecycle management capabilities: garbage collection, retention policies, tag immutability, and automated cleanup workflows.&lt;/p&gt;</description>
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      <title>Self-Hosted Log Retention &amp; Lifecycle Management: Elasticsearch ILM vs Loki Retention vs OpenSearch ISM</title>
      <link>https://www.pistack.xyz/posts/2026-05-06-self-hosted-log-retention-lifecycle-management-elasticsearch-ilm-loki-opensearch-ism/</link>
      <pubDate>Wed, 06 May 2026 00:00:00 +0000</pubDate>
      <guid>https://www.pistack.xyz/posts/2026-05-06-self-hosted-log-retention-lifecycle-management-elasticsearch-ilm-loki-opensearch-ism/</guid>
      <description>&lt;p&gt;Managing log retention is one of the most critical operational challenges for any self-hosted observability stack. Without proper lifecycle management, log indices grow unbounded, storage costs explode, and query performance degrades. Index Lifecycle Management (ILM), retention policies, and Index State Management (ISM) are the mechanisms that automate the movement, sizing, and deletion of log data across its useful lifetime.&lt;/p&gt;</description>
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