<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cost Optimization on Support Tools</title><link>https://support.tools/tags/cost-optimization/</link><description>Recent content in Cost Optimization on Support Tools</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Fri, 23 Oct 2026 00:00:00 -0500</lastBuildDate><atom:link href="https://support.tools/tags/cost-optimization/index.xml" rel="self" type="application/rss+xml"/><item><title>Kubernetes as a Catalyst: Unlocking Cost-Efficiency, Scalability, and Infrastructure Freedom</title><link>https://support.tools/kubernetes-catalyst-cost-efficiency-scalability/</link><pubDate>Tue, 13 Oct 2026 09:00:00 -0500</pubDate><guid>https://support.tools/kubernetes-catalyst-cost-efficiency-scalability/</guid><description>&lt;p&gt;In today&amp;rsquo;s rapidly evolving technology landscape, organizations face mounting pressure to deliver innovative solutions faster while controlling costs and maintaining reliability. Kubernetes has emerged as not just a container orchestration platform, but as a transformative force that addresses these seemingly contradictory demands simultaneously.&lt;/p&gt;</description></item><item><title>Karpenter for EKS: A Comprehensive Guide to Efficient Kubernetes Autoscaling</title><link>https://support.tools/post/karpenter-eks-autoscaling-comprehensive-guide/</link><pubDate>Tue, 06 Oct 2026 09:00:00 -0500</pubDate><guid>https://support.tools/post/karpenter-eks-autoscaling-comprehensive-guide/</guid><description>&lt;h1 id="karpenter-for-eks-a-comprehensive-guide-to-efficient-kubernetes-autoscaling"&gt;Karpenter for EKS: A Comprehensive Guide to Efficient Kubernetes Autoscaling&lt;/h1&gt;&#10;&lt;p&gt;Kubernetes autoscaling has traditionally been a balance between maintaining enough capacity for workloads and controlling cloud costs. Karpenter introduces a more efficient approach to this challenge, providing just-in-time compute resources that perfectly match your workload requirements. This guide explores Karpenter&amp;rsquo;s architecture, implementation strategies, and advanced configurations for optimal EKS cluster management.&lt;/p&gt;&#10;&lt;h2 id="what-is-karpenter"&gt;What is Karpenter?&lt;/h2&gt;&#10;&lt;p&gt;Karpenter is a flexible, high-performance Kubernetes cluster autoscaler designed specifically to optimize compute resource allocation. Unlike traditional autoscalers, Karpenter works directly with your cloud provider to provision the exact infrastructure needed for your workloads.&lt;/p&gt;</description></item><item><title>Kubernetes Cluster Autoscaler Optimization: Node Scaling Best Practices</title><link>https://support.tools/kubernetes-cluster-autoscaler-optimization/</link><pubDate>Fri, 21 Aug 2026 00:00:00 -0500</pubDate><guid>https://support.tools/kubernetes-cluster-autoscaler-optimization/</guid><description>&lt;p&gt;The Kubernetes Cluster Autoscaler automatically adjusts the size of a cluster by adding or removing nodes based on pod scheduling needs. This guide covers advanced configuration, cloud provider integration, optimization strategies, and troubleshooting for production environments.&lt;/p&gt;</description></item><item><title>Infrastructure Cost Optimization and FinOps Implementation: Enterprise Cloud Economics Framework 2026</title><link>https://support.tools/infrastructure-cost-optimization-finops-implementation/</link><pubDate>Sun, 09 Aug 2026 00:00:00 -0500</pubDate><guid>https://support.tools/infrastructure-cost-optimization-finops-implementation/</guid><description>&lt;p&gt;Infrastructure cost optimization and Financial Operations (FinOps) represent critical disciplines for modern cloud-native organizations, requiring sophisticated approaches to cloud financial management that balance performance, innovation, and cost efficiency. This comprehensive guide explores enterprise FinOps implementation patterns, cost optimization strategies, and production-ready frameworks for managing cloud economics at scale.&lt;/p&gt;</description></item><item><title>Building Cost-Efficient Go Applications: From Always-On to On-Demand</title><link>https://support.tools/go-serverless-cost-efficiency/</link><pubDate>Tue, 28 Jul 2026 09:00:00 -0500</pubDate><guid>https://support.tools/go-serverless-cost-efficiency/</guid><description>&lt;p&gt;Cloud providers promise you&amp;rsquo;ll only pay for what you use. Yet most organizations still architect applications with an always-on mindset, leaving containers running 24/7 and resources provisioned regardless of actual demand. This guide shows how to implement truly cost-efficient Go applications through serverless and event-driven patterns.&lt;/p&gt;</description></item><item><title>Rising Costs of Legacy Amazon RDS Systems: Analysis and Optimization</title><link>https://support.tools/legacy-rds-cost-analysis/</link><pubDate>Mon, 15 Dec 2025 09:00:00 -0600</pubDate><guid>https://support.tools/legacy-rds-cost-analysis/</guid><description>&lt;p&gt;Master the art of managing and optimizing costs for legacy Amazon RDS systems while maintaining performance and reliability.&lt;/p&gt;</description></item><item><title>S3 Storage Classes: Minimum Duration, Size, Retrieval Fees</title><link>https://support.tools/post/aws-s3-storage-classes-comprehensive-guide/</link><pubDate>Thu, 11 Sep 2025 09:00:00 -0500</pubDate><guid>https://support.tools/post/aws-s3-storage-classes-comprehensive-guide/</guid><description>&lt;h1 id="s3-storage-classes-minimum-duration-size-retrieval-fees"&gt;S3 Storage Classes: Minimum Duration, Size, Retrieval Fees&lt;/h1&gt;&#10;&lt;p&gt;The cheaper S3 storage classes are only cheaper if your objects are big enough and stay long enough. This page starts with the minimums that decide that, then walks through each class with CLI and lifecycle examples.&lt;/p&gt;&#10;&lt;h2 id="quick-answer"&gt;Quick answer&lt;/h2&gt;&#10;&lt;div class="table-scroll"&gt;&#10;&lt;table&gt;&#10; &lt;thead&gt;&#10; &lt;tr&gt;&#10; &lt;th&gt;Storage class&lt;/th&gt;&#10; &lt;th&gt;Minimum storage duration&lt;/th&gt;&#10; &lt;th&gt;Minimum billable size&lt;/th&gt;&#10; &lt;th&gt;Retrieval fee&lt;/th&gt;&#10; &lt;th&gt;First byte&lt;/th&gt;&#10; &lt;/tr&gt;&#10; &lt;/thead&gt;&#10; &lt;tbody&gt;&#10; &lt;tr&gt;&#10; &lt;td&gt;S3 Standard&lt;/td&gt;&#10; &lt;td&gt;none&lt;/td&gt;&#10; &lt;td&gt;none&lt;/td&gt;&#10; &lt;td&gt;none&lt;/td&gt;&#10; &lt;td&gt;milliseconds&lt;/td&gt;&#10; &lt;/tr&gt;&#10; &lt;tr&gt;&#10; &lt;td&gt;S3 Intelligent-Tiering&lt;/td&gt;&#10; &lt;td&gt;none&lt;/td&gt;&#10; &lt;td&gt;none, but objects under 128 KB are never auto-tiered and stay at Frequent Access rates&lt;/td&gt;&#10; &lt;td&gt;none (per-object monitoring fee)&lt;/td&gt;&#10; &lt;td&gt;milliseconds&lt;/td&gt;&#10; &lt;/tr&gt;&#10; &lt;tr&gt;&#10; &lt;td&gt;S3 Express One Zone&lt;/td&gt;&#10; &lt;td&gt;1 hour&lt;/td&gt;&#10; &lt;td&gt;none&lt;/td&gt;&#10; &lt;td&gt;per GB&lt;/td&gt;&#10; &lt;td&gt;single-digit milliseconds&lt;/td&gt;&#10; &lt;/tr&gt;&#10; &lt;tr&gt;&#10; &lt;td&gt;S3 Standard-IA&lt;/td&gt;&#10; &lt;td&gt;30 days&lt;/td&gt;&#10; &lt;td&gt;128 KB&lt;/td&gt;&#10; &lt;td&gt;per GB&lt;/td&gt;&#10; &lt;td&gt;milliseconds&lt;/td&gt;&#10; &lt;/tr&gt;&#10; &lt;tr&gt;&#10; &lt;td&gt;S3 One Zone-IA&lt;/td&gt;&#10; &lt;td&gt;30 days&lt;/td&gt;&#10; &lt;td&gt;128 KB&lt;/td&gt;&#10; &lt;td&gt;per GB&lt;/td&gt;&#10; &lt;td&gt;milliseconds&lt;/td&gt;&#10; &lt;/tr&gt;&#10; &lt;tr&gt;&#10; &lt;td&gt;S3 Glacier Instant Retrieval&lt;/td&gt;&#10; &lt;td&gt;90 days&lt;/td&gt;&#10; &lt;td&gt;128 KB&lt;/td&gt;&#10; &lt;td&gt;per GB&lt;/td&gt;&#10; &lt;td&gt;milliseconds&lt;/td&gt;&#10; &lt;/tr&gt;&#10; &lt;tr&gt;&#10; &lt;td&gt;S3 Glacier Flexible Retrieval&lt;/td&gt;&#10; &lt;td&gt;90 days&lt;/td&gt;&#10; &lt;td&gt;40 KB metadata overhead per object&lt;/td&gt;&#10; &lt;td&gt;per GB, by tier&lt;/td&gt;&#10; &lt;td&gt;minutes to hours&lt;/td&gt;&#10; &lt;/tr&gt;&#10; &lt;tr&gt;&#10; &lt;td&gt;S3 Glacier Deep Archive&lt;/td&gt;&#10; &lt;td&gt;180 days&lt;/td&gt;&#10; &lt;td&gt;40 KB metadata overhead per object&lt;/td&gt;&#10; &lt;td&gt;per GB, by tier&lt;/td&gt;&#10; &lt;td&gt;hours&lt;/td&gt;&#10; &lt;/tr&gt;&#10; &lt;/tbody&gt;&#10;&lt;/table&gt;&#10;&lt;/div&gt;&#10;&lt;p&gt;What the minimums mean on the bill:&lt;/p&gt;</description></item><item><title>RACADM Power Commands: Power Cycle, Power Cap, Read Usage</title><link>https://support.tools/post/racadm-power-management-enterprise-automation-guide-2025/</link><pubDate>Tue, 09 Sep 2025 10:00:00 -0800</pubDate><guid>https://support.tools/post/racadm-power-management-enterprise-automation-guide-2025/</guid><description>&lt;h1 id="racadm-power-commands-power-cycle-power-cap-read-usage"&gt;RACADM Power Commands: Power Cycle, Power Cap, Read Usage&lt;/h1&gt;&#10;&lt;p&gt;The RACADM commands for powering a Dell PowerEdge server on, off and through a cycle, reading its power draw, and setting a power cap. After the quick answer, the rest of the page builds those commands into fleet-wide monitoring and capping scripts.&lt;/p&gt;&#10;&lt;h2 id="quick-answer"&gt;Quick answer&lt;/h2&gt;&#10;&lt;p&gt;Run these locally on the host, over SSH to the iDRAC, or remotely with &lt;code&gt;racadm -r &amp;lt;idrac-ip&amp;gt; -u &amp;lt;user&amp;gt; -p &amp;lt;password&amp;gt;&lt;/code&gt;:&lt;/p&gt;</description></item><item><title>Reclaim Your Unused Kubernetes Resources with rekuberate-io/sleepcycles</title><link>https://support.tools/rekuberate-io-sleepcycles/</link><pubDate>Sun, 06 Oct 2024 19:26:00 -0500</pubDate><guid>https://support.tools/rekuberate-io-sleepcycles/</guid><description>&lt;p&gt;In a world where efficient resource management is key to running modern cloud-native applications, &lt;strong&gt;rekuberate-io/sleepcycles&lt;/strong&gt; provides a sophisticated solution to reclaim unused Kubernetes resources. By defining &lt;strong&gt;sleep and wake-up cycles&lt;/strong&gt; for your Kubernetes workloads, you can automatically schedule resource shutdowns and wake-ups, optimizing cluster utilization, reducing costs, and contributing to a greener IT infrastructure.&lt;/p&gt;</description></item></channel></rss>