9 Monitoring Tools That Deliver AI-Native Anomaly Detection
A technical guide comparing nine observability platforms built to detect anomalies and support modern AI-driven workflows.
Updates and recent posts about Azure Kubernetes Service (AKS).. Link
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@kala added a new tool DeepSeekMath-V2 , 2 weeks, 6 days ago.
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A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight
INTELLECT-3, a 100B+ parameter model, sets new benchmarks in AI, with open-sourced training components to foster research in reinforcement learning.
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@kala added a new tool INTELLECT-3 , 2 weeks, 6 days ago.
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@eon01 published a course, 3 weeks ago
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@eon01 published a course, 3 weeks, 2 days ago
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Observability with Prometheus and Grafana
A Complete Hands-On Guide to Operational Clarity in Cloud-Native Systems
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@eon01 published a course, 3 weeks, 2 days ago
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Cloud-Native Microservices With Kubernetes - 2nd Edition
A Comprehensive Guide to Building, Scaling, Deploying, Observing, and Managing Highly-Available Microservices in Kubernetes
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@eon01 published a course, 3 weeks, 2 days ago
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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.
