Tag: Autoscaling

Google Cloud: Using Terraform to Auto Scale and Load Balance Compute Engine Instances in GCP

Overview Learning how to configure complex environments with Terraform is a must-have skill. In this hands-on lab, we will provision an autoscaling group with a load balancer. Objectives: Successfully complete this lab by achieving the following learning objectives: Create a Service Account From Google Cloud console’s main navigation, choose IAM & Admin > Service Accounts. Click Create service account. […]

Google Cloud: Configuring an Internal TCP Load Balancer

Google Cloud offers Internal Load Balancing for your TCP/UDP-based traffic. Internal Load Balancing enables you to run and scale your services behind a private load balancing IP address that is accessible only to your internal virtual machine instances. In this lab, you create two managed instance groups in the same region. Then you configure and […]

Google Cloud: Configuring an HTTP Load Balancer with Autoscaling

Google Cloud HTTP(S) load balancing is implemented at the edge of Google’s network in Google’s points of presence (POP) around the world. User traffic directed to an HTTP(S) load balancer enters the POP closest to the user and is then load-balanced over Google’s global network to the closest backend that has sufficient available capacity. In […]

Google Cloud: Autoscaling with Managed Instance Groups

Instance groups An instance group is a collection of virtual machine (VM) instances that you can manage as a single entity. Compute Engine offers two kinds of VM instance groups, managed and unmanaged: Managed instance groups (MIGs) let you operate apps on multiple identical VMs. You can make your workloads scalable and highly available by taking […]

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