<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Alessandro Vozza on foojay.io - Friends of OpenJDK</title><link>https://foojayio.github.io/website/today/author/alessandro-vozza/</link><description>Articles written by Alessandro Vozza on foojay.io - Friends of OpenJDK</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 27 Jul 2022 08:36:46 +0000</lastBuildDate><atom:link href="https://foojayio.github.io/website/today/author/alessandro-vozza/index.xml" rel="self" type="application/rss+xml"/><item><title>Stateless, Secretless Multi-cluster Monitoring in Azure Kubernetes</title><link>https://foojayio.github.io/website/today/stateless-secretless-multi-cluster-monitoring-in-azure-kubernetes-service-with-thanos-prometheus-and-azure-managed-grafana/</link><pubDate>Wed, 27 Jul 2022 08:36:46 +0000</pubDate><guid>https://foojayio.github.io/website/today/stateless-secretless-multi-cluster-monitoring-in-azure-kubernetes-service-with-thanos-prometheus-and-azure-managed-grafana/</guid><description>&lt;h3 id="h3-0-introduction"&gt;Introduction&lt;/h3&gt;
&lt;p&gt;Observability is paramount to every distributed system and it&amp;rsquo;s becoming increasingly complicated in a cloud native world where we might deploy multiple ephemeral clusters and we want to keep their metrics beyond their lifecycle span.&lt;/p&gt;
&lt;p&gt;This article aims at cloud native engineers that face the challenge of observing multiple Azure Kubernetes Clusters (AKS) and need a flexible, stateless solution, leveraging available and cost-effective blob storage for long term retention of metrics, one which does not require injecting static secrets to access the storage (as it leverage the native Azure Managed Identities associated with the cluster).&lt;/p&gt;</description></item></channel></rss>