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Posts tagged #aks

AI Document Ingestion and Querying with KAITO RAG Engine on Azure Kubernetes
AI Document Ingestion and Querying with KAITO RAG Engine on Azure Kubernetes YouTube video by Roy Kim

My New Video: Showing capabilities of my RAG app on #Kubernetes using the Kubernetes AI Toolchain Operator on AKS.

• Ingest documents into a vector store
• Document ingestion and prompt management
• Running inference with the Phi-4 LLM hosted directly on AKS

youtu.be/2AP1LIeK45g

#AI #RAG #AKS

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Ephemeral by Design Enterprise AKS estates don’t fail from missing tooling. They fail because no one made deliberate choices about how to operate and manage clusters.

The cattle-vs-pets problem, now with Kubernetes clusters.

Non-prod that hasn't been rebuilt in a year isn't a validation environment. It's legacy infrastructure with a kubectl config.

engineeringclouds.io/ephemeral-by...

#MVPBuzz #Azure #Kubernetes #CloudNative #Cloud #AKS #PlatformEngineering

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Can’t wait to see you at CISOA in Riverside, CA! Visit us at Booth 205 to learn how #AzureLocal, #AVD and #AKS on-premises boost IT efficiency and deliver low latency performance.

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🚀 The AKS Book is live on Kindle!

17 chapters. Every production AKS decision that matters. Not a tutorial, a decision guide. Foreword by Brendan Burns, co-creator of Kubernetes.

Paperback live on Monday. 📖

buff.ly/EURIa27

#AKS #Azure #Kubernetes

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Run PostgreSQL on AKS: High‑Performance, Flexible, Cloud‑Native Postgres on Azure
Run PostgreSQL on AKS: High‑Performance, Flexible, Cloud‑Native Postgres on Azure Learn how to self‑host PostgreSQL on Azure Kubernetes Service using CloudNativePG, optimized VMs, Premium SSD storage, and Azure-native backup, monitoring, and scaling. Explore more technical…

From the Microsoft Azure YouTube channel: Learn how to self‑host #PostgreSQL on Azure Kubernetes Service #AKS using CloudNativePG, optimized VMs, Premium SSD storage, and Azure-native backup, monitoring, and scaling 📈
www.youtube.com/watch?v=KEAp...

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An experiment – Enable Cilium native routing on Azure Kubernetes Service BYOCNI – Part 1 – Daniel's Tech Blog

Deep dive into enabling Cilium native routing on Azure Kubernetes Service with BYOCNI - a 3-part experiment:

Part 1: www.danielstechblog.io/an-experimen...

Part 2: www.danielstechblog.io/an-experimen...

Part 3: www.danielstechblog.io/an-experimen...

#Azure #AKS #Kubernetes #Cilium #Networking

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Deploy Azure SQL with Private Endpoint and Test Connectivity from AKS This tutorial demonstrates how to: Create networking for AKS Deploy an AKS cluster using Azure CNI...

Deploy Azure SQL with Private Endpoint and Test Connectivity from AKS This tutorial demonstrates how to: Create networking for AKS Deploy an AKS cluster using Azure CNI Overlay Deploy Azure SQL Dat...

#aks #azure #devops #cloud

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AKS Networking – Ingress and Egress Traffic Flow In the previous post on AKS Networking, we explored the different networking models available in AKS and how IP strategy, node pool scaling, and control plane connectivity shape a production-ready …

Most AKS networking issues aren’t Kubernetes problems — they’re traffic flow problems nobody mapped before deployment.

Plan ingress & egress early to avoid security gaps and performance issues.

michaeldurkan.com/20...

#Azure #AKS #Kubernetes #Networking #MVPbuzz

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Blog posts | Codit

Kubernetes gives you flexibility, but keeping clusters secure, stable, and up to date is the real challenge. AKS helps simplify upgrades and future-proof your platform.
Read more 👇
ow.ly/K5jQ50YmZ1q‑proofing-you...
#Kubernetes #AKS #DevOps

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An experiment – Enable Cilium native routing on Azure Kubernetes Service BYOCNI – Part 3 – Daniel's Tech Blog

An experiment – Enable Cilium native routing on Azure Kubernetes Service BYOCNI – Part 3 www.danielstechblog.io/an-experimen... #Azure #AKS #Kubernetes #Cilium

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Enttäuschung pur. Von „Brennen im Herzen“ nichts zu sehen. #AKS #ChemieLeipzig Emotionslos, kein Kampf, kein Aufbäumen… so steigt man sang und klanglos ab.

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An experiment – Enable Cilium native routing on Azure Kubernetes Service BYOCNI – Part 2 – Daniel's Tech Blog

An experiment – Enable Cilium native routing on Azure Kubernetes Service BYOCNI – Part 2 www.danielstechblog.io/an-experimen... #Azure #AKS #Kubernetes #Cilium

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An experiment – Enable Cilium native routing on Azure Kubernetes Service BYOCNI – Part 1 – Daniel's Tech Blog

An experiment – Enable Cilium native routing on Azure Kubernetes Service BYOCNI – Part 1 www.danielstechblog.io/an-experimen... #Azure #AKS #Kubernetes #Cilium

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Build Auto-Migration Systems for Azure Spot VMs in AKS Build automated migration systems to handle Azure Spot VM evictions in AKS, keeping workloads running within the 30-second window.

#Cloud #AKS #Cluster #Autoscaler #Karpenter #Kubernetes #Spot #VMs

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Moin. Bis zum Wochenende steht Sonne satt auf dem Programm. Endlich wieder Sportpark, endlich wieder Fußball pur. Wird auch Zeit. #AKS #ChemieLeipzig

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Set up volumes accessing cross-tenant Azure Storage without account access keys in Azure Kubernetes Service - Joey Chen Learn how to create Kubernetes volumes with Azure storage in different tenant without setting up account access key in Azure Kubernetes Service (AKS).

👉 New post: Access Azure Storage across tenants in AKS—no access keys needed 🚀
Securely mount K8s volumes via BlobFuse (Workload Identity) or NFS for Azure Fileshare/Blob. Step-by-step guide with examples!

🔗 Link: blog.joeyc.dev/posts/aks-no...

#Azure #AKS #Kubernetes #DevOps #CloudSecurity

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I’m back on @RunAsRadio for round 3! 🎧

It was great to catch up with Richard Campbell about #multicloud #SaaS.

We dig into:
🔹 Getting SaaS workloads to #Azure #AKS
🔹 #Kubernetes as the bridge
🔹 #OpenTofu, #Prometheus, & more

runasradio.com/Shows/Show/1...

#MVPBuzz #DockerCaptain #Jamf

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With NGINX Ingress retirement hitting next month, a lot of people are asking: "What's next?" 🤔

I have been recommending Envoy Gateway, so thought I'd better spend some time documenting what actually works on AKS.

Check it out at: buff.ly/WRXfSNa

#Kubernetes #AKS #Azure #EnvoyGateway #GatewayAPI

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AKS Node Pool Rollback Now in Preview URL has been copied successfully! URL has been copied successfully! Share: Reading Time: 4 minutes We’ve all been there. You upgrade a node pool, something breaks in production, and you’re left deciding whether to push forward with a fix or try to undo what you just did. Until recently, “undoing” a Kubernetes version upgrade in AKS wasn’t a first-class operation. You’d be looking at manual workarounds or blue-green setups to recover. The new node pool rollback feature landing in AKS preview is useful because it gives you a proper recovery path without any of that. A merged PR in the Azure CLI extensions repo (#9314) adds two new commands to `aks-preview`: `az aks nodepool rollback` and `az aks nodepool get-rollback-versions`. Here’s what they do and when you’d want to use them. ## What Is Node Pool Rollback? The feature lets you revert a node pool back to the Kubernetes version and node image it was running before an upgrade. Both the orchestrator version and the node image (VHD) get rolled back together, so you’re not left in a mixed state. It’s worth being clear about what this is and isn’t. It’s a version rollback, not a full state restore. Workload changes, config changes, and anything else outside of the node pool version are not affected. Think of it as an escape hatch for when an upgrade itself goes sideways. Key things to know upfront: * Only available for **seven days** after an upgrade completes * Only goes back **one step** – no chaining rollbacks to skip multiple versions * No concurrent cluster operations during rollback * You must **disable cluster autoupgrade** first, or it’ll just re-upgrade after you roll back * Can’t roll back to a version that’s out of AKS support ## Prerequisites You’ll need the `aks-preview` CLI extension at the latest version and Azure CLI 2.64.0 or higher: Shell # Install or update the extension az extension add --name aks-preview az extension update --name aks-preview # Verify your CLI version az --version 123456 | # Install or update the extensionaz extension add --name aks-previewaz extension update --name aks-preview # Verify your CLI versionaz --version ---|--- The feature requires API version `2025-08-02-preview` or later under the hood, but as long as you’re running a current `aks-preview` extension you’ll be covered. ## The New Commands ### Checking What You Can Roll Back To Before pulling the trigger, you can see what rollback versions are available for a node pool: Shell az aks nodepool get-rollback-versions \ --name myNodePool \ --cluster-name myAKSCluster \ --resource-group myResourceGroup 1234 | az aks nodepool get-rollback-versions \ --name myNodePool \ --cluster-name myAKSCluster \ --resource-group myResourceGroup ---|--- This queries the upgrade profile and surfaces the previously used versions. If the node pool hasn’t been upgraded at least once, there’s nothing to roll back to and the command will tell you so rather than returning a silent empty result. ### Performing the Rollback Once you’ve confirmed there’s a version to go back to: Shell az aks nodepool rollback \ --name myNodePool \ --cluster-name myAKSCluster \ --resource-group myResourceGroup 1234 | az aks nodepool rollback \ --name myNodePool \ --cluster-name myAKSCluster \ --resource-group myResourceGroup ---|--- That’s it. The rollback process is manual to trigger but fully automatic once started. AKS handles rolling all the nodes back to the previous version state. It’s all-or-nothing: if any node fails to roll back, the whole operation fails. This keeps the cluster in a clearly defined state rather than leaving you with a partially rolled-back pool. ## Monitoring the Rollback The two most useful options are the **Activity Log** on the cluster in the Azure portal and the **Operation Status API** for real-time updates via REST. The rollback shows up as a standard AKS operation, so your existing alerting should pick it up. ## When Should You Actually Use This? The sweet spot for this feature is production incidents where you’ve upgraded a node pool and something breaks that you can’t quickly fix. Application compatibility issues, unexpected performance regressions, or infrastructure weirdness that wasn’t caught in pre-prod. What it’s not good for: staying on an older version indefinitely. Rollback is a temporary recovery tool. Security patches and updates come with newer versions, and rolling back exposes you to whatever vulnerabilities were addressed in the upgrade. Treat it as breathing room while you fix the underlying issue, then re-upgrade. The guidance suggests re-upgrading within days for critical security issues, within weeks for app compatibility problems, and no more than 30 days in any case. One gotcha worth flagging: if your cluster is part of an Azure Kubernetes Fleet Manager autoupgrade profile, you need to remove it from the update group before rolling back. Otherwise Fleet Manager will just upgrade it again right after. ## What About Node Image-Only Rollback? Worth knowing: if you ran a node image update (not a full Kubernetes version upgrade) within the last seven days, rollback will restore the previous VHD image while keeping the same Kubernetes version. So this isn’t limited to full version upgrades. Handy if a bad node image slips through. ## Wrapping Up The node pool rollback capability fills a real gap in the AKS upgrade story. It won’t replace solid upgrade strategies like blue-green node pools or proper pre-prod testing, but it gives teams a genuine recovery path when production upgrades don’t go to plan. It’s currently in preview and requires the `aks-preview` extension, so treat it accordingly in production environments. Worth getting familiar with before you need it though. For more detail on the capabilities and limitations, the official AKS rollback docs are worth a read. Share:

AKS Node Pool Rollback Now in Preview Reading Time: 3 minutesWe’ve all been there. You upgrade a node pool, something breaks in production, and you’re left deciding whether to push forward with...

#Community #AKS #Azure #Azure #Kubernetes #Service #kubernetes

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⚠️ Azure Key Vault + AKS integration gotchas you NEED to know.

From identity config to network policies — here's how to fix the most common integration failures.

#Azure #AKS #KeyVault #Kubernetes #CloudSecurity
🔗 devopstales.github.io/cloud/azure-...

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🌐 Production-ready ingress on AKS: Configure custom SSL certs + DNS with Nginx Ingress Controller.

Automate cert-manager, external-dns, and Azure DNS integration.

#AKS #Nginx #Ingress #SSL #Kubernetes #Azure
🔗 devopstales.github.io/kubernetes/n...

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aks-demos/aks-kaito at main · RoyKimYYZ/aks-demos Azure Kubernetes Demos for the purposes of sharing my knowledge to the technology community - RoyKimYYZ/aks-demos

Want to run LLMs on AKS without the infrastructure headache? 🚀
Check out my repo: 🔗
github.com/RoyKimYYZ/ak...
✅ Automated GPU provisioning
✅ One-click OSS model deployment (Phi, Llama, Falcon)
✅ Private & secure inference endpoints
#AKS #Kubernetes #Azure #GenerativeAI #LLMOps #KAITO #mvpbuzz

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DevOps with Azure Cloud DevOps methodology gives you a complete view of the entire software development lifecycle. Azure DevOps Certification from EkasCloud is handled by industry professionals, depending on large-scale b...

DevOps with Azure Cloud
www.ekascloud.com/training-cou...
#DevOps #AzureDevOps #MicrosoftAzure #CloudComputing
#CICD #Automation #AKS #InfrastructureAsCode
#DevOpsEngineer #CloudEngineer #TechCareers
#FutureSkills #Ekascloud #LearnDevOps #AzureCloud

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🚨 Starting in ~30 mins: AKS Community Call!
Join to hear the latest updates, roadmap insights, and connect directly with the Azure Kubernetes Service team. Great chance to learn what’s coming next and ask questions live.

👉 blog.aks.azure.com/webinars/

#AKS #Azure #Kubernetes #CloudNative

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AKS Networking – Which model should you choose? In the previous post, we broke down AKS Architecture Fundamentals — control plane vs data plane, node pools, availability zones, and early production guardrails. Now we move into one of the most co…

AKS networking is a Day 1 decision. Get it wrong and it’s hard to change later. IP exhaustion or performance issues can force a rebuild.

Overlay = scalable & IP-efficient.

Node Subnet = direct connectivity but higher IP usage.

tinyurl.com/4nj9m8bf

#Azure #AKS #Networking

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Doc Ingestion CLI for AKS KAITO RAG Engine After deploying AKS KAITO Retrieval Augmented Generation (RAG) Engine withe an embeddings model, I tested with many curl commands to index, update and query documents. I created a command line tool to help manage the documents easily. So when you have a large corpus of text documents and files, you can run this CLI tool in a script to automate large library of files. **ragengine-ingest-docs.py** is a command-line tool that helps you: * ingest local text/markdown documents into a RagEngine index, * update existing indexed documents, * list and inspect indexed chunks + metadata, * run chat/query requests against the index via OpenAI-compatible APIs. This is ideal for demos, workshops, and troubleshooting sessions where you want to show exactly how data gets into the ragengine vector index and how grounded answers are produced. #### Why this tool exists This `**ragengine-ingest-docs**` CLI allows engineers to learn and validate each stage: 1. Document processing – chunking, metadata 2. Indexing API calls 3. Retrieval behavior**** – source_nodes, retrieved doc chunks 4. Generation behavior based on temperature, max_tokens, context_token_ratio values This CLI tool is based on the documentation – KAITO RAG Engine – API Definitions and Examples. The tool supports five modes: * `create` Create index + add docs (`POST /rag/index`) * `update` → Update docs in existing index (`POST /indexes/{index}/documents`) * `list` → List indexed docs/chunks (`GET /indexes/{index}/documents`) * `chat` / `query` → Ask grounded questions (`POST /v1/chat/completions`) * * * ## Quick start and test commands **PREREQUSITE** : Install KAITO onto your AKS cluster and deploy KAITO workspace and KAITO Ragengine and expose with nginx controller or gateway API. From this folder: https://github.com/RoyKimYYZ/aks-demos/tree/main/aks-kaito/ragengine-ingest-docs cd aks-kaito/ragengine-ingest-docs uv sync Set endpoint (example): export RAGENGINE_URL="http://<INGRESS_IP>/rag-nostorage" ### 1) Create index and ingest a document uv run python ragengine-ingest-docs.py \ --file ./docs/fantasia-citizen-laws.md \ --index rag_index \ --mode create \ --metadata subject=law Partial console output of above script showing one of a few of the chunked texts ingested. ### 2) List indexed chunks uv run python ragengine-ingest-docs.py \ --index rag_index \ --mode list \ --limit 10 \ --offset 0 \ --max-text-length 400 Partial tail output showing to listed chunks. ### 3) Filter by metadata filename uv run python ragengine-ingest-docs.py \ --index rag_index \ --mode list \ --metadata-filter '{"filename":"fantasia-citizen-laws.md"}' Partial tail output. ### 4) Ask a RAG question uv run python ragengine-ingest-docs.py \ --index rag_index \ --mode chat \ --question "What is the Fantasia Citizen Code (FCC)?" \ --model phi-4-mini-instruct \ --show-sources output. ### 5) Debug with full JSON response uv run python ragengine-ingest-docs.py \ --index rag_index \ --mode chat \ --question "What are the key sections in the Fantasia code?" \ --model phi-4-mini-instruct \ --json Partial output. Conclusion Overall, this CLI makes it much easier to work with the KAITO RAG Engine by turning complex API calls into simple, repeatable commands. It’s a practical tool for demos, workshops, and debugging, and helps you clearly see how documents are indexed, retrieved, and used to generate grounded answers. ### Share this: * Print (Opens in new window) Print * Email a link to a friend (Opens in new window) Email * Share on Facebook (Opens in new window) Facebook * Share on Reddit (Opens in new window) Reddit * Share on X (Opens in new window) X * Like Loading... ### _Related_

Doc Ingestion CLI for AKS KAITO RAG Engine After deploying AKS KAITO Retrieval Augmented Generation (RAG) Engine withe an embeddings model, I tested with many curl commands to index, update and que...

#Community #AI #AKS #Azure #kubernetes #rag

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My Journey Learning To Build AI Apps on Azure (March 2025 to Feb 2026) Over the last 11 months, I have been steadily been building various AI apps to leverage features and capabilities offered by Azure services that support AI workloads. This includes Azure Open AI service, Azure AI Foundry, Azure Kubernetes, Kubernetes AI Toolchain Operator (KAITO), Azure AI Search and more. Visit my github repo at https://github.com/RoyKimYYZ/azure-ai-apps. This repository (`azureai-chatapp`) documents a hands-on, progressive learning journey through generative AI application patterns on Azure and some leveraging Azure Kubernetes. Each subfolder is an independent project that explores a specific pattern and technology stack. I am also building on skills and patterns from the previous iteration. My journey began with simple Azure Open AI text completions with python. But this repo started with its first project in March 2025. * **rag-chatapp-retail** – A product-catalog chatbot where users ask questions such as _“I need a tent for 4 people”_. Product data from a CSV file is vectorized with Azure OpenAI embeddings (`text-embedding-ada-002`), then indexed into Azure AI Search, and the GPT-4o model generates grounded answers from retrieved search results (i.e. text chunks). This project also introduced Prompty templates for prompt engineering. This project as modeled after a MS Learn tutorial. * **rag-app-resumes** – An early prototype for resume search that was later superseded. Then use case is for tech recruiters to upload and search for resumes. Deployed onto AKS. * **streamlit-chat** — A Streamlit web UI providing a chatbot-style interface that calls the RAG APIs. This was the first front-end layer. This was my first exploration into using Streamlit as a chatbot. I thought it was really cool and gets you off the ground running. I loved the side panels for selecting configuration settings on the fly. **Key skills learned:** Azure AI Search (index creation, indexers, skillsets, datasources), Azure OpenAI embeddings + chat completions, vector + semantic hybrid search, Prompty prompt templates, Flask REST APIs and RAG evaluation pipelines. #### Semantic Kernel & Advanced RAG * app-rag-aisearch-sk – By August 2025, the focus shifted to Microsoft Semantic Kernel. I wanted to learn an AI orchestration framework that introduces plugins, prompt templates, and agent abstractions against AI Foundry and Azure Open AI endpoints. This project applied Semantic Kernel to the resume-search domain for tech recruiters. Built a full Azure AI Search pipeline: blob storage ingestion of PDF resumes -> chunking skillsets -> indexer -> vector index with semantic ranking. **Key skills learned:** Semantic Kernel SDK (Kernel, agents, plugins, function calling), Azure Blob Storage integration, Azure Kubernetes Hosting, AI Search indexer/skillset pipelines, SK prompt template patterns, structured data models for resume parsing. #### AI Foundry Agents & Prompt Engineering * agent-rag-resume – In September 2025, my experimentation moved to Azure AI Foundry Agents exploring two approaches side by side: A “traditional” single-file Python agent using Azure AI Foundry’s agent API directly. A Semantic Kernel–based agent (`ai_foundry_agent_sk.py`) with custom `UserPromptPlugin` prompt templates to control agent behavior via Semantic Kernel’s plugin system. #### Multi-Agent Framework on AKS with KAITO (Jan–Feb 2026) * agentframework – January 2026I want to explore the successor to Semantic Kernel by building a Multi-agent chatbot with the new Microsoft Agent Framework. * Three LLM backends through app platform: * **Azure AI Foundry** – GPT-5.2 and DeepSeek-V3.2 * **KAITO inference model** – phi-4-mini-instruct running on in-cluster GPU nodes on AKS * **KAITO RAGEngine** – AKS hosted RAG on a GPU nodepool. If you are wondering what tech engineers have been doing to learn and apply generative AI applications on Azure, I hope my story has given some insight. Hope this help you give expousre and direction on how to map out your learning journey on these exciting technologies. Please check out my repo: https://github.com/RoyKimYYZ/azure-ai-apps. ### Share this: * Print (Opens in new window) Print * Email a link to a friend (Opens in new window) Email * Share on Facebook (Opens in new window) Facebook * Share on Reddit (Opens in new window) Reddit * Share on X (Opens in new window) X * Like Loading... ### _Related_

My Journey Learning To Build AI Apps on Azure (March 2025 to Feb 2026) Over the last 11 months, I have been steadily been building various AI apps to leverage features and capabilities offered by A...

#Community #AI #AKS #Azure #devops #kubernetes #rag

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How to Deploy High-Performance Storage for AKS | Free, Open-Source Azure Container Storage
How to Deploy High-Performance Storage for AKS | Free, Open-Source Azure Container Storage Run stateful Kubernetes on Azure with confidence and experience how Azure Container Storage makes managing storage for AKS fast, simple, and scalable. Azure Container Storage brings the performance of local NVMe drives to workloads running on Azure Kubernetes Service (AKS). With this all-in-one storage orchestrator and volume provisioner, you can boost the speed and responsiveness of your database, analytics, and AI/ML workloads. Plus, we're removing all orchestration and service fees from Azure Container Storage for deployments of any size. You can even install Azure Container Storage as a standalone open-source driver! This demo walks through how to install, deploy, and use Azure Container Storage v2.0.0, the free, open-source, high-performance storage solution for Azure Kubernetes Service (AKS); providing a deeper, hands-on look at how Azure Container Storage brings NVMe-class performance to stateful Kubernetes workloads running on AKS. In this demo, you’ll learn how to: 1. Understand the basics of Azure Container Storage and how it integrates with AKS 2. Install Azure Container Storage using the v2.0.0 GA experience 3. Use Azure Container Storage to provision and run high-performance persistent volumes for stateful workloads Whether you’re modernizing existing applications or building cloud-native services from day one, Azure Container Storage helps you run stateful Kubernetes workloads on Azure with confidence. Ready to experience the performance boost? Here are your next steps: Read the blog: https://msft.it/6054sIdu2 New to Azure Container Storage? Start with our comprehensive documentation: https://learn.microsoft.com/en-us/azure/storage/container-storage/container-storage-introduction Deploying specific workloads? Check out our updated deployment guide for PostgreSQL: https://msft.it/PostgreSQL Want the open-source version? Visit our GitHub repository for installation instructions: https://msft.it/GitHubrepository #AzureContainerStorage #AzureStorage #AzureKubernetesService #AKS #Kubernetes #KubernetesOnAzure #OpenSource #CloudStorage #FreeAzureService #Containers #Azure #AzureCloud #CloudNative #EnterpriseKubernetes #StatefulApplications #NVMe #CSIDrivers

How to Deploy High-Performance Storage for AKS | Free, Open-Source Azure Container Storage: Run stateful Kubernetes on Azure with confidence and experience how Azure Container Storage makes managing storage for AKS fast, simple, and scalable.

Azure Container Storage… @Azure #Azure #Kubernetes #AKS

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Creating a Helm Chart for Azure SecretProvider [wiki.getshifting.com]

(3/3) The link to the chart, as well as some explanations on helm as well as on secret providers can be found on my wiki: wiki.getshifting.com/helmchartsec...

I hope you'll enjoy it.

#aks #helm #azure #kubernetes

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(2/3) in case workload identity is enabled. But I got distracted so many times while reading the excellent manuals from helm, I learned far more than I bargained for and spent way more time.

#aks #helm #azure #kubernetes

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