<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
    <title>helm-chart</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/1275/feed"/>
    <updated>2026-06-17T08:01:14+00:00</updated>
    <id>https://links.biapy.com/guest/tags/1275/feed</id>
            <entry>
            <id>https://links.biapy.com/links/11955</id>
            <title type="text"><![CDATA[Sveltos]]></title>
            <link rel="alternate" href="https://projectsveltos.github.io/sveltos/main/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11955"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Kubernetes Add-on Controller. Manage and Deploy Add-ons.

Sveltos is a Kubernetes add-on controller. It makes deploying and managing Kubernetes add-ons and applications easier across multiple clusters. This works for on-prem, cloud, or multitenant setups.
 Sveltos Kubernetes add-on controller programmatically deploys add-ons and applications in tens of clusters. Support for ClusterAPI powered clusters, Helm charts, kustomize ,YAMLs. Sveltos has built-in support for multi-tenancy. 

- [Sveltos @ GitHub](https://github.com/projectsveltos/addon-controller/).

Related contents:

- [How to scale GitOps in the enterprise: From single cluster to fleet management @ Platform Engineering](https://platformengineering.org/blog/how-to-scale-gitops-in-the-enterprise).]]>
            </summary>
            <updated>2026-02-27T12:56:36+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10215</id>
            <title type="text"><![CDATA[HAMi]]></title>
            <link rel="alternate" href="https://project-hami.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10215"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open, Device Virtualization, VGPU, Heterogeneous AI Computing.

HAMi (Heterogeneous AI Computing Virtualization Middleware) formerly known as k8s-vGPU-scheduler, is an &amp;#039;all-in-one&amp;#039; chart designed to manage Heterogeneous AI Computing Devices in a k8s cluster. It can provide the ability to share Heterogeneous AI devices and provide resource isolation among tasks.

- [HAMi @ GitHub](https://github.com/Project-HAMi/HAMi).]]>
            </summary>
            <updated>2025-09-15T14:01:05+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1761</id>
            <title type="text"><![CDATA[Kubernetes Monitoring Helm Charts]]></title>
            <link rel="alternate" href="https://github.com/grafana/k8s-monitoring-helm/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1761"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Kubernetes Monitoring Helm chart makes it easy to start gathering telemetry data from your Kubernetes clusters. With one deployment, you can capture all of the metrics, logs, traces, and profiles from your cluster and the applications running on it!

Related contents:

- [Kubernetes Monitoring Helm chart 2.0: a simpler, more predictable experience @ Grafana Labs](https://grafana.com/blog/2025/01/23/kubernetes-monitoring-helm-chart-2.0-a-simpler-more-predictable-experience/).]]>
            </summary>
            <updated>2025-08-28T20:49:49+00:00</updated>
        </entry>
    </feed>
