How to save SQL storage data in running preemtible instance?

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preemptible compute instance
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I am trying to cut the costs of running the kubernetes cluster on Google Cloud Platform.

I moved my node-pool to preemptible VM instances. I have 1 pod for Postgres and 4 nodes for web apps. For Postgres, I've created StorageClass to make data persistent.

Surprisingly, maybe not, all storage data was erased after a day.

How to make a specific node in GCP not preemptible? Or, could you advice what to do in that situation?

I guess I found a solution.

  1. Create a disk on gcloud via:
gcloud compute disks create --size=10GB postgres-disk
gcloud compute disks create --size=[SIZE] [NAME]
  1. Delete any StorageClasses, PV, PVC
  2. Configure deployment file:
apiVersion: apps/v1beta2
kind: StatefulSet
  name: postgres
  serviceName: postgres
      app: postgres
  replicas: 1
        app: postgres
        role: postgres
        - name: postgres
          image: postgres
          # Especially this part should be configured!
            - name: postgres-persistent-storage
              mountPath: /var/lib/postgresql
        - name: postgres-persistent-storage
            # This GCE PD must already exist.
            pdName: postgres-disk
            fsType: ext4

Creating and starting a preemptible VM instance, Learn about Compute Engine preemptible virtual machine (VM) instances. Featured Products; Compute; Storage; Databases; Networking; Operations A preemptible VM is an instance that you can create and run at a much lower price than Keep in mind that this is an observation only: Preemptible instances have no� The Save SSIS Package page is one of two pages on which you pick options for saving the SSIS package. On the previous page, Save and Execute Package, you pick whether to save the package in SQL Server or as a file. You also pick security settings for the saved package. To take another look at the Save and Run Package page, see Save and Run Package.

You can use managed service from GCP name GKE google kubernetes cluster.

and storage data erased cause of storage class change may not Retain policy and PVC.

better to use managed service i think and i prefer

Preemptible VM instances, Google Cloud SQL mirrored across two distinct regions to store the data, and a Redis cluster in a To save space, you delete snapshots number 3 and 4. A) Port the application code to run on Google App Engine You have created several preemptible Linux virtual machine instances using Google Compute Engine. An instance, whether default or named, has its own set of program and data files, as well as a set of common files shared between all instances of SQL Server on the computer. For an instance of SQL Server that includes the Database Engine, Analysis Services, and Reporting Services, each component has a full set of data and executable files, and

You can make a specific node not preemptible in a Google Kubernetes Engine cluster, as mentioned in the official documentation.

The steps to set up a cluster with both preemptible and non-preemptible node pools are:

  1. Create a Cluster: In the GCP Console, go to Kubernetes Engine -> Create Cluster, and configure the cluster as you need.
  2. On that configuration page, under Node pools, click on Add node pool. Enter the number of nodes for the default and the new pool.
  3. To make one of the pools preemptible, click on the Advance edit button under the pool name, check the Enable preemptible nodes (beta) box, and save the changes.
  4. Click on Create.

Then you probably want to schedule specific pods only on non-preemptible nodes. For this, you can use node taints.

GCP, As a real life I am using Best buy data of their products. Automatic storage increase, so it shouldn't happen that you run out of disk gcloud sql users set- password postgres --instance myinstance --host=% --prompt-for-password authorized to use Cloud SQL and I'm using preemtible since this will take� To understand the importance of creating backups, below are a few points elaborated: Computer systems are prone to damage due to power outages, and this affects all the unsaved files and folders including the live & running instance of SQL Server database.

Search on Google Cloud Platform - Cloud SQL, You are building storage for files for a data pipeline on Google Cloud. Your analyst teams will use running aggregate ANSI SQL queries on this data. You need to keep service costs low. Add 10 additional Preemptible worker nodes. C. Export the data from your current Cloud Bigtable instance to Cloud Storage. Save money with Azure SQL Database and SQL Managed Instance by committing to a reservation for compute resources compared to pay-as-you-go prices. With reserved capacity, you make a commitment for SQL Database and/or SQL Managed Instance use for a period of one or three years to get a significant discount on the compute costs.

GCP-Data-Engineer, Manages a VM instance resource within GCE. via terraform destroy ), or the instance cannot be deleted and the Terraform run will not complete successfully. In this procedure, you use the Cloud Console. To use gcloud or cURL, see Creating instances. Go to the Cloud SQL Instances page in the Google Cloud Console. Go to the Cloud SQL Instances page. Select your project and click Continue. Click Create Instance. Click Choose SQL Server. Enter myinstance for Instance ID. Enter a password for the

Google: google_compute_instance, In AWS you have SQS, SNS, Amazon MQ, Kinesis Data Streams, Kinesis Data Google Cloud Storage, has consistent lists and gets, Cloud Key Management Google's answer to AWS spot pricing is Preemptible Instances. Instead, you will probably end up running the Cloud SQL Proxy on your VM� You can back up SQL Server databases running on Azure virtual machines (VMs) by using Azure Backup. This article shows how to back up a SQL Server database that's running on an Azure VM to an Azure Backup Recovery Services vault. In this article, you'll learn how to: Create and configure a vault.