All you need to do is, install the Backup Ninja agent on your database server or virtual instances like Google Compute Engine instance and the Backup Ninja agent will manage your MySQL backups effortlessly. You can schedule incremental, partial, or full backups using the same backup system and have them stored on your preferred cloud location. Alternatively, you can use backup services like Backup Ninja, Solarwind, Veeam to create and manage backups efficiently in your preferred location with additional settings.īackup Ninja is a simple to use automated backup service for you to take backups for open source databases, files, and directories and store them locally or in the cloud. Both this method allows you to take backup and store them either on the instance location or on your preferred location, but it limits additional configuration settings like backup frequency, compression, and encryption. Google Cloud SQL services allow you to take backups using the automated or on-demand method. Google Cloud SQL for MySQL Backups Using Backup Ninja You can also store the backups in a custom location to comply with local regulations or easy recovery. Google Cloud SQL for MySQL, by default, stores backups in two regions for redundancy. Automated backups are deleted according to the retention policy however, the on-demand backups must be deleted manually. Automated backups are taken in a 4-hours backup window and when the instance is low in activity. You can use an on-demand backup method to backup the entire instance without waiting for a backup window. Cloud SQL allows you to take the backups in an automated or on-demand way. What are the Methods to Backup Google Cloud SQL for MySQL Databases?Ĭloud SQL backups are incremental you have one full backup, which is the oldest version of the database, and the next contains the changes made to the previous backup and are usually smaller in size. You can use third-party tools like SQL Workbench or Toad for MySQL, or even applications running on Kubernetes and Compute engine without any performance issues. There are many ways to connect to MySQL instances on Google Cloud SQL. Google Cloud SQL for MySQL supports App Engine applications that are written in Java, Python, PHP, Node.js, Go, and Ruby. The platform also offers data replication and failover features to minimise any downtime. Also, the Google Cloud SQL for MySQL has an automated backup and point in time recovery feature to prevent any data loss and speed up the recovery process. Along with the standard features, Google has also ensured enhanced security with support for external connections with the Cloud SQL Proxy or with the SSL/TLS protocol for private IP (private services access). You can setup the instances easily using the Google Cloud Console. Google Cloud SQL for MySQL allows you to create and manage your MySQL Community Edition on Google Cloud without the need to worry about infrastructure setup and maintenance cost. What You Need to Know about Google Cloud SQL for MySQL This blog discusses Google Cloud SQL for MySQL features and using Backup Ninja as an alternative backup tool for your Google Cloud SQL MySQL databases, files, and directories on Google cloud. Google Cloud SQL ensures both in transit and at rest data are fully secured and complies with many industry standards like SSAE 16, ISO 27001, PCI DSS, and HIPAA. Even if you are new to managed database services, it just takes a few minutes to set up Google Cloud SQL services and scale the instance capabilities as you go. Google Cloud SQL is a managed database service for MySQL, PostgreSQL, and SQL Server.
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