How to Use Google Cloud SQL

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  • Опубликовано: 3 дек 2024

Комментарии • 12

  • @DataSlayerMedia
    @DataSlayerMedia  3 года назад +2

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

  • @sanemdeekshithgoud9116
    @sanemdeekshithgoud9116 2 года назад +1

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

  • @robertlongoria765
    @robertlongoria765 3 года назад +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 года назад

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

  • @emreerel7041
    @emreerel7041 3 года назад +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 года назад +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 года назад +3

    Thank you

  • @pl75
    @pl75 3 года назад +1

    does this kind GCP's service free or paid?

    • @DataSlayerMedia
      @DataSlayerMedia  3 года назад

      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.