Starting content development

Author: madeline-underwood

content/learning-paths/servers-and-cloud-computing/mongodb-on-azure/_index.md

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-title: Run MongoDB on the Microsoft Azure Cobalt 100 processors 
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-draft: true
-cascade:
-    draft: true
+title: Run MongoDB on Arm-based Microsoft Azure Cobalt 100 instances
 
 minutes_to_complete: 30   
 
-who_is_this_for: This Learning Path is designed for software developers looking to migrate their MongoDB workloads to Arm-based platforms, specifically on the Microsoft Azure Cobalt 100 processors.
+who_is_this_for: Software developers who want to migrate MongoDB workloads to Arm-based platforms, with a focus on Microsoft Azure Cobalt 100 Arm64 instances.
 
 learning_objectives: 
-    - Provision an Azure Arm64 Cobalt 100 based virtual machine using Azure console, with Ubuntu Pro 24.04 LTS as the base image.
-    - Deploy MongoDB on an Azure Cobalt 100 based virtual machine.
-    - Perform MongoDB baseline testing and benchmarking on the Arm64 virtual machine.
+    - Provision an Arm64-based Cobalt 100 virtual machine in Azure using Ubuntu Pro 24.04 LTS.
+    - Deploy MongoDB on the Cobalt 100 instance.
+    - Run baseline tests and performance benchmarks on MongoDB in the Arm64 environment.
 
 prerequisites:
-    - A [Microsoft Azure](https://azure.microsoft.com/) account with access to Cobalt 100 based instances (Dpsv6). 
-    - Familiarity with the [MongoDB architecture](https://www.mongodb.com/) and deployment practices on Arm64 platforms.
+    - A [Microsoft Azure](https://azure.microsoft.com/) account with access to Cobalt 100 (Dpsv6) instances
+    - Familiarity with the [MongoDB architecture](https://www.mongodb.com/) and deployment practices on Arm64 platforms
 
 author: Pareena Verma
 

content/learning-paths/servers-and-cloud-computing/mongodb-on-azure/background.md

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 ## Cobalt 100 Arm-based processor
 
-Azure’s Cobalt 100 is built on Microsoft's first-generation, in-house Arm-based processor: the Cobalt 100. Designed entirely by Microsoft and based on Arm’s Neoverse N2 architecture, this 64-bit CPU delivers improved performance and energy efficiency across a broad spectrum of cloud-native, scale-out Linux workloads. These include web and application servers, data analytics, open-source databases, caching systems, and more. Running at 3.4 GHz, the Cobalt 100 processor allocates a dedicated physical core for each vCPU, ensuring consistent and predictable performance. 
+Azure’s Cobalt 100 is Microsoft’s first-generation, in-house Arm-based processor. Built on the Arm Neoverse N2 architecture, this 64-bit CPU improves performance and energy efficiency for a wide range of cloud-native, scale-out Linux workloads. These include web and application servers, data analytics, open-source databases, caching systems, and more. Running at 3.4 GHz, the Cobalt 100 processor allocates a dedicated physical core for each vCPU to ensure consistent, predictable performance.
 
-To learn more about Cobalt 100, refer to the blog [Announcing the preview of new Azure virtual machine based on the Azure Cobalt 100 processor](https://techcommunity.microsoft.com/blog/azurecompute/announcing-the-preview-of-new-azure-vms-based-on-the-azure-cobalt-100-processor/4146353).
+To learn more, see the [Azure Cobalt 100 announcement blog](https://techcommunity.microsoft.com/blog/azurecompute/announcing-the-preview-of-new-azure-vms-based-on-the-azure-cobalt-100-processor/4146353).
 
 ## MongoDB
-MongoDB is a popular open-source NoSQL database designed for high performance, scalability, and flexibility.
 
-It stores data in JSON-like BSON documents, making it ideal for modern applications that require dynamic, schema-less data structures.
-
-MongoDB is widely used for web, mobile, IoT, and real-time analytics workloads. Learn more from the [MongoDB official website](https://www.mongodb.com/) and its [official documentation](https://www.mongodb.com/docs/).
+MongoDB is an open-source NoSQL database known for high performance, scalability, and flexibility. It stores data in JSON-like BSON documents, making it ideal for applications that need dynamic, schema-less data structures. Developers commonly use MongoDB for web, mobile, IoT, and real-time analytics workloads. Learn more on the [MongoDB website](https://www.mongodb.com/) and in the [official documentation](https://www.mongodb.com/docs/).