From the course: Google Cloud Associate Cloud Engineer Cert Prep
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Setting scaling parameters for autoscaling instances - Google Cloud Tutorial
From the course: Google Cloud Associate Cloud Engineer Cert Prep
Setting scaling parameters for autoscaling instances
- Setting scaling parameters for autoscaling instances. So, to deploy an application with autoscaling in Cloud Run, it is super simple. In a Cloud Run console, when you are creating an application, you can determine in the autoscaling part of the menu here on the bottom right corner, you can specify the minimum number of instances and the maximum number of instances. This will be number of containers effectively, and you can choose to have CPU only allocated during request processing, which will probably be cheaper, but it may create the problem of a cold start. Or you can choose to have CPU always allocated. The number of instances is affected by, first of all, the rate of incoming requests or events, the CPU utilization of existing instances over a one-minute window with a target of 60% CPU utilization. So that's the threshold or the target that the Google Cloud platform uses to determine when to scale Cloud Run services. And the number of instances is also affected by the current…
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Contents
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Module 2: Setting up a cloud solution environment introduction36s
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Learning objectives41s
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Creating a resource hierarchy6m 41s
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Applying organizational policies to the resource hierarchy3m 53s
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Granting members IAM roles within a project5m 59s
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Managing users and groups in cloud identity: Manually and automated1m 57s
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Enabling APIs within projects1m 32s
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Provisioning and setting up products in Google Cloud’s operations suite1m 35s
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Questions breakdown3m 10s
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Module 4: Deploying and implementing a cloud solution introduction31s
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Learning objectives37s
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Launching a compute instance using the console and gcloud4m 51s
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Creating an autoscaled, managed instance group using an instance template3m 36s
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Generating and uploading a custom SSH key for instances1m 36s
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Installing and configuring the cloud monitoring and logging agent4m 10s
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Assessing compute quotas and requesting increases1m 30s
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Questions breakdown2m 43s
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Learning objectives35s
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Installing and configuring the CLI for Kubernetes (kubectl)3m 27s
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Deploying a GKE cluster with different configurations5m 9s
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Deploying a containerized application to GKE1m 51s
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Configuring GKE monitoring and logging2m 42s
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Questions breakdown4m 43s
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Learning objectives39s
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Creating a VPC with subnets2m 16s
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Launching a Compute Engine instance with custom network configuration3m 36s
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Creating ingress and egress firewall rules for a VPC5m 48s
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Creating a VPN between a Google VPC and an external network2m 9s
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Creating a load balancer to distribute application network traffic1m 55s
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Questions breakdown5m 35s
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Module 5: Ensuring successful operation of a cloud solution introduction36s
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Learning objectives40s
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Managing a single VM instance2m 29s
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Remotely connecting to the instance4m 19s
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Attaching a GPU to a new instance and installing necessary dependencies1m 34s
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Viewing current running VM inventory47s
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Working with snapshots2m 30s
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Working with images1m 46s
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Working with instance groups2m 30s
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Working with management interfaces46s
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Questions breakdown4m 26s
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Learning objectives37s
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Viewing current running cluster inventory1m 47s
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Browsing Docker images and viewing their details in the artifact registry42s
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Working with node pools2m 22s
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Working with pods3m 13s
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Working with services10m 36s
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Working with stateful applications2m 7s
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Managing horizontal and vertical autoscaling configurations2m 6s
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Working with management interfaces52s
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Questions breakdown6m 20s
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Learning objectives39s
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Managing and securing objects in and between cloud storage buckets3m 57s
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Setting object life cycle management policies for cloud storage buckets5m 18s
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Executing queries to retrieve data from data instances1m 38s
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Estimating costs of data storage resources2m 51s
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Backing up and restoring database instances2m 53s
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Reviewing job status in Dataproc, Dataflow, or BigQuery2m 14s
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Questions breakdown6m 30s
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Learning objectives28s
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Adding a subnet to an existing VPC1m 16s
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Expanding a subnet to have more IP addresses25s
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Reserving static external or internal IP addresses1m 58s
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Working with Cloud DNS, Cloud NAT, load balancers, and firewall rules7m 50s
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Questions breakdown4m 9s
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Learning objectives44s
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Creating cloud monitoring alerts based on resource metrics3m
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Creating and ingesting cloud monitoring custom metrics7m 58s
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Configuring log sinks to export logs to external systems1m 36s
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Configuring log routers48s
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Viewing and filtering logs in Cloud Logging1m 11s
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Viewing specific log message details in Cloud Logging1m 34s
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Using cloud diagnostics to research an application issue1m 26s
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Viewing Google Cloud status56s
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Questions breakdown3m 55s
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Module 6: Configuring access and security introduction25s
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Learning objectives26s
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Viewing IAM policies1m 15s
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Creating IAM policies1m 46s
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Managing the various role types and defining custom IAM roles1m 56s
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Viewing audit logs2m 7s
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Questions breakdown3m 45s
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Learning objectives39s
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Creating service accounts1m 51s
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Using service accounts in IAM policies with minimum permissions3m 25s
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Assigning service accounts to resources1m 20s
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Managing IAM of a service account1m 4s
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Managing service account impersonation3m 12s
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Creating and managing short-lived service account credentials40s
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Questions breakdown3m 41s
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