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start tech review of MinIO on Cobalt
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  • content/learning-paths
    • embedded-and-microcontrollers/azure-iot
    • servers-and-cloud-computing/minio-cobalt

content/learning-paths/embedded-and-microcontrollers/azure-iot/_index.md

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who_is_this_for: This is an advanced topic for developers who want to build a comprehensive IoT solution in Azure that streams, stores, monitors, aggregates, and visualizes telemetry data from Arm IoT devices.
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learning_objectives:
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- Set up and configure Azure IoT Hub for device communication.
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- Register an IoT device and stream telemetry data using the Azure IoT SDK.
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- Route IoT data to Azure services using Azure Stream Analytics.
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- Store incoming data in Azure Cosmos DB through a Stream Analytics job.
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- Monitor data and send alerts using an Azure Function that reads from Cosmos DB and triggers notifications based on thresholds.
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- Aggregate sensor readings using an Azure Function that calculates average values from stored data.
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- Publish aggregated data to a public-facing web app hosted on Azure Blob Storage.
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who_is_this_for: This is an advanced topic for developers who want to build a comprehensive IoT solution in Azure that streams, stores, monitors, aggregates, and visualizes telemetry data from Arm IoT devices.
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learning_objectives:
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- Set up and configure Azure IoT Hub for device communication.
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- Register an IoT device and stream telemetry data using the Azure IoT SDK.

content/learning-paths/servers-and-cloud-computing/minio-cobalt/_index.md

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---
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title: Deploy and Use MinIO on Azure Cobalt 100 Arm64 Virtual Machines
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title: Deploy MinIO on Azure Cobalt 100
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description: Learn how to deploy and configure MinIO on an Azure Cobalt 100 virtual machine, benchmark object storage throughput, and validate S3 compatibility using the boto3 Python SDK.
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draft: true
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cascade:
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draft: true
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minutes_to_complete: 30
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who_is_this_for: This learning path is designed for developers, DevOps engineers, and platform engineers who want to deploy and use S3-compatible object storage using MinIO on Arm-based cloud environments.
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who_is_this_for: This is an introductory topic for developers, DevOps engineers, and platform engineers who want to deploy MinIO object storage on Microsoft Azure Cobalt 100 virtual machines.
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learning_objectives:
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- Deploy MinIO on Azure Cobalt 100 Arm64 virtual machines
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- Configure and manage object storage using MinIO
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- Benchmark storage performance for high-throughput workloads
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- Validate S3 compatibility using Python SDK
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- Implement AI/ML dataset and model storage workflows using MinIO
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- Provision an Azure Cobalt 100 virtual machine and deploy MinIO
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- Benchmark MinIO storage throughput for large object transfers
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- Validate S3 API compatibility using the boto3 Python SDK
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- Store and retrieve AI/ML datasets and model artifacts using MinIO
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prerequisites:
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- A [Microsoft Azure account](https://azure.microsoft.com/) with access to Cobalt 100 based instances (Dpsv6)
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- A [Microsoft Azure account](https://azure.microsoft.com/) with access to Cobalt 100-based instances (Dpsv6)
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- Basic knowledge of Linux command-line operations
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- Familiarity with SSH and remote server access
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- Basic understanding of cloud storage concepts
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author: Pareena Verma
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author: Jason Andrews
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### Tags
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skilllevels: Introductory
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tools_software_languages:
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- MinIO
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- Python
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- MinIO Client (mc)
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- boto3
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operatingsystems:
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- Linux
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further_reading:
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- resource:
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title: MinIO Official Website
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link: https://min.io/
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type: website
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- resource:
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title: MinIO Documentation
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link: https://min.io/docs/minio/linux/index.html
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title: Azure Cobalt 100 processors
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link: https://techcommunity.microsoft.com/blog/azurecompute/announcing-the-preview-of-new-azure-vms-based-on-the-azure-cobalt-100-processor/4146353
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type: documentation
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- resource:
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title: Deploy a Cobalt 100 virtual machine on Azure
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link: /learning-paths/servers-and-cloud-computing/cobalt/
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type: learning-path
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### FIXED, DO NOT MODIFY
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# ================================================================================

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