As of my last knowledge update in September 2021, there is no specific concept or service in Microsoft Azure called "Azure vertically." It is possible that there have been updates or changes to Azure beyond my knowledge cutoff, but as of that time, I can provide information on vertical scaling and how it relates to Microsoft Azure.
Vertical scaling, also known as scaling up, is a method used to increase the resources of a single virtual machine or application within the Azure cloud environment. When you vertically scale, you are essentially upgrading the size or capacity of a single instance, such as increasing the number of CPU cores, RAM, or storage capacity.
In Azure, vertical scaling can be achieved through various methods, depending on the service you are using:
1. Virtual Machines (VMs): In Azure, you can scale up a virtual machine by selecting a different VM size with more CPU cores and memory. This allows you to handle increased workloads and improve performance without changing the number of VM instances.
2. App Services: Azure App Services also offer vertical scaling options. With App Service Plan settings, you can change the size of the underlying virtual machine, which affects the CPU, memory, and other resources available to your application.
3. Databases: For database services like Azure SQL Database, you can upgrade your database tier to gain more resources and performance capabilities, allowing your application to handle higher loads and requests.
4. Kubernetes: In Azure Kubernetes Service (AKS), you can vertically scale individual pods by modifying the resource limits and requests for CPU and memory.
5. Azure Functions: For serverless computing with Azure Functions, you can adjust the function's memory allocation and execution time, thereby scaling vertically to meet increased demands.
Vertical scaling is suitable for scenarios where your application or workload requires more resources to handle increased demand or performance requirements. It is a quick way to improve performance but has its limitations since it is restricted to the capacity of a single instance. Apart from it by obtaining Azure Data Engineer Certification, you can advance your career as an Azure Data Engineer. With this course, you can demonstrate your expertise in the basics of designing and implementing data storage, designing and developing data processing pipelines, implementing data security, data factory, many more.
In contrast, horizontal scaling, or scaling out, involves adding more instances or VMs to distribute the workload and improve the overall capacity. This method is generally more suitable for handling large-scale applications with varying loads.
Keep in mind that Azure services and features may have evolved or new offerings may have been introduced since my last update. Therefore, I recommend consulting the official Microsoft Azure documentation or other reliable sources to get the latest information on Azure services and any concepts that may have emerged after September 2021.
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