Automated scaling and resource management 4 – Monitoring and Management

Microsoft Azure:
Azure Autoscale: Azure Autoscale enables users to automatically adjust the number of virtual machine instances in a scale set or an app service plan based on predefined conditions or metrics.
Setting up Azure Autoscale involves configuring autoscaling rules for your Azure resources based on specific metrics or schedules. Here’s a step-by-step guide to setting up Azure Autoscale:

1. Sign into the Azure portal: Log in to the Azure portal (https://portal.azure.com/) using your credentials.
2. Navigate to your resource: Select the resource you want to enable Autoscale for. This could be a Virtual Machine Scale Set, an App Service Plan, or a Cloud Service, among others.
3. Configure Autoscale: Inside the resource’s blade, find and select the Autoscale option in the left-hand menu.
4. Add a rule: Click on the + Add a rule button to create a new Autoscale rule.
5. Configure the necessary conditions:
   • Name: Give your Autoscale rule a meaningful name.
   • Metric Source: Choose the metric source (such as CPU utilization, memory usage, and so on).
   • Condition: Define the conditions that trigger scaling. For example, you might set a threshold such as Increase instances by 1 if CPU > 70%.
   • Direction: Specify whether the rule should scale out (increase instances) or scale in (decrease instances).
   • Instance Limits: Set upper and lower limits for the number of instances.
6. Add a second rule (optional): You can add multiple Autoscale rules for different metrics or conditions.
7. Configure scaling actions:
   • Scale out: Define how many instances to add when scaling out
   • Scale in: Define how many instances to remove when scaling in
   • Advanced configuration (optional): Depending on the resource type, you might have additional configuration options, such as cooldown periods or schedule-based scaling
   • Notifications (optional): Set up notifications so that you receive alerts when autoscaling events occur
8. Review and save: Review your configuration settings and then click the OK or Save button to apply the Autoscale rules.
9. Enable Autoscale: Once the rules have been created and saved, enable Autoscale to make the rules active.
   That’s it! Azure will now monitor the specified metrics and automatically adjust the number of instances based on the conditions you’ve set. Autoscale ensures that your application can handle varying workloads efficiently while optimizing costs.
   Please note that the steps might vary slightly depending on the specific resource type you’re configuring Autoscale for. Always refer to Azure’s official documentation for the most up-to-date and detailed instructions.
10. Azure Load Balancer: This service distributes incoming traffic across multiple resources for better availability and responsiveness. Azure provides both internal and external load balancers.
11. Azure Kubernetes Service (AKS): AKS helps automate the deployment, scaling, and management of containerized applications using Kubernetes, ensuring efficient resource usage and availability.