How to Use Google Cloud SQL

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  • Опубліковано 2 лис 2024

КОМЕНТАРІ • 12

  • @DataSlayerMedia
    @DataSlayerMedia  3 роки тому +2

    MySQL or NoSQL which do you prefer? Let me know below. 👇🏿

  • @robertlongoria765
    @robertlongoria765 3 роки тому +2

    I know that this will save me thosands of $ when I understand and then implement it! Thank you. I will now work on the tools necessary to make this happen!

    • @DataSlayerMedia
      @DataSlayerMedia  3 роки тому

      It's a great way to go for scaling your mysql DB.

  • @sanemdeekshithgoud9116
    @sanemdeekshithgoud9116 2 роки тому +1

    3:46 from where i can get this php page (from the lamp stack page)??

  • @emreerel7041
    @emreerel7041 3 роки тому +1

    hi, you have a local machine on google service (apache) and also you are connecting google local machine with google MySQL right? (like two different machines) . If I'm not wrong we can also connect google MySQL with a different server from any hosting company with a website IP or we can just connect on our localhost ?.
    btw thank you for the informative video.

    • @DataSlayerMedia
      @DataSlayerMedia  3 роки тому +2

      In this video I'm connecting a compute engine VM with the cloud sql instance. But you could connect to the cloud sql instance via a local machine or remote machine on a third party hosting provider.

  • @softwareengineer9435
    @softwareengineer9435 3 роки тому +3

    Thank you

  • @pl75
    @pl75 3 роки тому +1

    does this kind GCP's service free or paid?

    • @DataSlayerMedia
      @DataSlayerMedia  3 роки тому

      It's paid but GCP generally adheres to a relatively "perfectly metered pricing model" meaning you pay for what you use. That being said, the cost of standing up the SQL instance in this tutorial was ~$1.5/day USD. The specs on this instance were -
      Cloud SQL for MySQL: Zonal - 1 vCPU + 3.75GB RAM in Americas
      i.imgur.com/rzeDWCF.png
      You could adjust the zone and vm resources to perhaps reduce this cost based on your needs. As you scale your database you can expect some sort of commensurate rise in costs. This may seem pricey but again the trade of is that it's a fully managed solution so you eliminate dev ops costs.