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ContentUpdates and recent posts about Azure Kubernetes Service (AKS)..
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@anjali shared a link, 1 week, 1 day ago
Customer Marketing Manager, Last9

OTel Updates: OpenTelemetry Proposes Changes to Stability, Releases, and Semantic Conventions

OpenTelemetry proposes stability changes: stable-by-default distributions, decoupled instrumentation, and epoch releases for production deployments.

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@laura_garcia shared a post, 1 week, 1 day ago
Software Developer, RELIANOID

deploy the RELIANOID Load Balancer Community Edition v7 on Azure using Terraform

🚀 New Technical Guide Available! You can now deploy the RELIANOID Load Balancer Community Edition v7 on Azure using Terraform in just a few minutes: ✔️ Install prerequisites (Terraform, Azure CLI, SSH keys) ✔️ Use the official Terraform module from the Registry ✔️ Automatically provision all Azure r..

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@pixel_og started using tool Thanos , 1 week, 1 day ago.
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@pixel_og started using tool Terraform , 1 week, 1 day ago.
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@pixel_og started using tool Talos Linux , 1 week, 1 day ago.
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@pixel_og started using tool Python , 1 week, 1 day ago.
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@pixel_og started using tool Prometheus , 1 week, 1 day ago.
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@pixel_og started using tool OpenTofu , 1 week, 1 day ago.
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@pixel_og started using tool Nix , 1 week, 1 day ago.
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@pixel_og started using tool Nginx , 1 week, 1 day ago.
From an operations standpoint, AKS provides automated cluster upgrades, node pool management, auto-scaling, and built-in high availability. Teams can run multiple node pools per cluster, mix VM sizes, use spot instances for cost optimization, and scale workloads automatically with the Kubernetes autoscaler and Horizontal Pod Autoscaler.

Security is a core design focus. AKS supports private clusters, network policies, Azure Policy for Kubernetes, workload identity, secrets integration with Azure Key Vault, and container image scanning through Microsoft Defender for Cloud. These features help organizations meet enterprise security and compliance requirements without heavy customization.

AKS is widely used for cloud-native applications, microservices, AI/ML workloads, and internal platforms. It serves as a foundation for platform engineering teams building internal developer platforms, often combined with GitOps tools like Flux or Argo CD and CI/CD systems such as GitHub Actions or Azure DevOps.