Which Azure service can use autoscale to add or remove resources?
Autoscaling is the process of dynamically allocating the resources required by an application to match performance requirements and satisfy service-level agreements (SLAs), while minimizing runtime costs. As the volume of work grows, an application may require additional resources to enable it to perform its tasks in a timely manner. As demand slackens, resources can be de-allocated to minimize costs, while still maintaining adequate performance and meeting SLAs. Autoscaling takes advantage of the elasticity of cloud-hosted environments while easing management overhead. It does so by reducing the need for an operator to continually monitor the performance of a system and make decisions about adding or removing resources. Show
Types of scalingScaling typically takes one of the following two forms:
Implement an autoscaling strategyImplementing an autoscaling strategy typically involves the following components and processes:
Most cloud-based environments, such as Azure, provide built-in autoscaling mechanisms that address common scenarios. If the environment or service you use doesn't provide the necessary automated scaling functionality, or if you have extreme autoscaling requirements beyond its capabilities, a custom implementation may be necessary. Use this customized implementation to collect operational and system metrics, analyze them to identify relevant data, and then scale resources accordingly. Configure autoscaling for an Azure solutionThere are several options for configuring autoscaling for your Azure solutions:
When choosing which autoscaling solution to adopt, consider the following points:
Use Azure AutoscaleAutoscale enables you to configure scale out and scale in options for a solution. Autoscale can automatically add and remove instances of Azure Cloud Services web and worker roles, Azure Mobile Services, and Web Apps feature in Azure App Service. It can also enable automatic scaling by starting and stopping instances of Azure Virtual Machines. An Azure autoscaling strategy includes two sets of factors:
Consider the following points when using Autoscale:
Application design considerations for implementing autoscalingAutoscaling isn't an instant solution. Simply adding resources to a system or running more instances of a process doesn't guarantee that the performance of the system will improve. Consider the following points when designing an autoscaling strategy:
Related patterns and guidanceThe following patterns and guidance may also be relevant to your scenario when implementing autoscaling: Which Azure service uses Autoscale?Azure Monitor autoscale applies only to Azure Virtual Machine Scale Sets, Azure Cloud Services, Azure App Service - Web Apps, and Azure API Management. Other Azure services use different scaling methods.
What Azure service can we use to automatically add or remove virtual machines in our workload in response to traffic demands?Azure Virtual Machine Scale Sets let you create and manage a group of load balanced VMs. The number of VM instances can automatically increase or decrease in response to demand or a defined schedule.
Which type of scaling involves adding or removing resources to meet demand?Vertical scaling refers to adding more resources (CPU/RAM/DISK) to your server (database or application server is still remains one) as on demand.
Which of the following are the options for auto scaling Azure?When rule conditions are met, you can perform one or more auto-scaling actions, including: Adding VMs (scale out) Removing VMs (scale in) Sending notifications.
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