Using Bash with Flyway

If you're using a Linux-based operating system, Bash is the obvious choice of scripting language for Flyway. This article demos the basics of dealing with credentials in team-based database development, when using 'traditional' flyway.conf files, and how to save and parse the JSON output of Flyway commands, for example to retrieve the current schema version. It provides a full automation example that will allow a team to maintain several copies of a database, one per development branch, from a Flyway project. Read more

Running Database Tasks and Tests on Clones in Redgate Test Data Manager

This article demonstrates how to adapt your current database development and testing regimes to use clones (data containers) in Redgate Test Data Manager. It demonstrates how to handle dynamic connection details and how to get from the containers the connection and database information that your development tasks and tests need to function correctly. Read more

Simpler Enterprise Test Data Management using Database Instance Provisioning

Business applications are rarely self-contained, often depending on multiple interconnected databases, each playing a vital role in the functioning of the system. How can we create, refresh, and maintain test data for these complex database systems, and still support dedicated databases and test-driven development processes? This article explains how database instance provisioning helps meet this challenge. Read more

Data Masking in Principle

This is the first of two articles to describe the principles and practicalities of masking data in databases. It explains why an organization sometimes needs masked data, the various forms of masked data we can use, the sort of data that needs to be masked, and the potential pitfalls. Read more

Data Masking in Practice

This article takes a strategic look at common data masking and anonymization techniques, and the challenges inherent in protecting certain types of sensitive and personal data, while ensuring that it still looks like the real data, and retains its referential integrity, and distribution characteristics. It also explains, briefly, with references, the tools that one can use to mask different types of data and how to provision development and test machines with these 'de-sensitized' databases, or alternatively to produce fake data that looks like the real thing, but in fact is generated randomly. Read more

Provisioning Clones for Flyway Projects

This article demonstrates how to use Redgate Test Data Manager to automate the delivery and teardown of data containers (clones) on four different RDBMS platforms, SQL Server, PostgreSQL, Oracle and MySQL, for use in Flyway development projects. Read more

Improved IAM authentication in Redgate Monitor

Redgate Monitor now offers improved security for monitoring PostgreSQL on Amazon RDS and Aurora DB clusters, as well as for retrieving enhanced metrics from any RDS instance. Read more

Getting Started with Cloning in Redgate Test Data Manager

This article takes a 'first look' at database cloning in Redgate Test Data Manager, explaining what it does and its advantages in team-based, test-driven database development. It will get you set up with the cloning CLI and then demos the basics of defining and creating images, and then creating and destroying database containers (clones) using PowerShell. Read more

Flyway’s Validate Command Explained Simply

The Validate command aims to ensure that Flyway can reliably reproduce an existing version of a database from the source migration scripts by warning you if files are retrospectively added, removed or altered that would prevent it from doing so. Validation errors are Flyway's warning that "the source for this version has changed". Read more

Flyway’s Clean Command Explained Simply

The Clean command resets a database to its initial state, before any Flyway migrations were applied. In other words, it empties the database. This can be useful for any development task that requires that you recreate the database structure, or for tearing down a test harness. It also allows you to try out experiments and alternative strategies within an isolated feature branch, and then reverse out of them. Read more

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