Why DevOps for databases?ĭatabase changes are the main reason for delay when performing application deployments. What is DevOps?ĭevOps is quite new and rapidly spreading concept that describes a set of practices aimed at automating software development and delivery processes so that development and IT teams could shorten the entire service lifecycle and provide continuous delivery of high-quality software. But before embarking on a detailed walkthrough on how to automate the test data recovery process with the help of dbForge Studio for MySQL, let’s first gloss over some terms. Therefore, its automation is essential in assuring a fast, reliable, and cost-effective delivery. Test data recovery is a time-consuming and labor-intensive process usually done manually. This article offers the simplest way to automate the process using only one tool – dbForge Studio for MySQL. That’s where the problem of repeated recovery of test data arises. The maximum provisioned storage limit restricts the size of a table to a maximum size of 16 TB if you use InnoDB file-per-table tablespaces.When developing a software application based upon complex database structure, it is often necessary to run diverse business logic test scenarios on the same input data.There is a size restriction on BLOBs written to the redo log for MySQL.That's why you should keep your eye on some MySQL values, which you want to use, with the lower_case_table_names and long_query_time AWS RDS has a case-sensitive file system.AWS RDS does not support the MySQL keyring_aws Amazon Web Services Keyring Plugin.You may get incorrect results if queries use index merge optimization Also, there is a bug in the MySQL query optimizer for MySQL v5.5.37.Such an effect impacts negatively on the MySQL database engine. This leads to the fact that the InnoDB buffer pool grows and uses much memory. The value of the innodb_buffer_pool_size parameter can be set to a large value. Currently, there is a bug in managing the InnoDB buffer pool size for MySQL v5.7.To avoid these issues, AWS RDS automatically stops the instance with the storage-full state If storage of a MySQL database instance is full, you can have metadata inconsistencies, dictionary mismatches, orphan tables, etc.You cannot use InnoDB for a MySQL database as it's a reserved word for RDS for MySQL.You should know that you may face such restrictions in AWS RDS for MySQL: If required, you can get additional storage with no downtime Storage: AWS RDS has two SSD-backed storage options for a MySQL database.High availability and read replicas: AWS RDS Multi-AZ deployments present enhanced availability for database instances and RDS Read Replicas simplify flexible scaling beyond the capacity limitation of a database instance.Additionally, AWS RDS Enhanced Monitoring allows you to access 50 CPU, memory, file system, and disk I/O metrics Monitoring: you can use Amazon CloudWatch metrics for your database instances with no extra charge.Security and isolation: AWS RDS provides the tools (VPC, KMS) that guarantee a high level of security for MySQL databases.Easy deployments: in AWS RDS, it's possible to pre-configure settings and parameters for MySQL database instances and launch them just in a few clicks.The automated backup and restoration: you can customize the backup and recovery of a MySQL database instance at any point in time and within a specified retention period. AWS RDS provides the following advantages for MySQL:
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