Simple Safeguards for PowerShell Scripting with Flyway

This article demonstrates simple techniques to security-check any processes that use Bash or PowerShell scripts to automate database tasks, when using Flyway. These checks help ensure a script is trusted, hasn't been tampered with since creation, and doesn't contain commands commonly used with malicious intent. They add a valuable layer of protection, without sacrificing the power and flexibility that makes Flyway so effective. Read more

Reducing Database Complexity and Size using Subsetting

Getting realistic test data from large production databases can be a challenge, especially when you're trying to keep dev environments lightweight and secure. Redgate Test Data Manager includes a subsetting CLI that simplifies this by letting you generate smaller, fully representative subsets automatically. This article will walk you through getting started: from setup and configuration to running and refining simple subset operations. Read more

Supporting Monolithic Database Deployment with Flyway

This article explains how a Flyway migration-first approach, backed by consistent versioning and testing, helps teams bring structure and repeatability to even the most complex release processes. Coupled with techniques such as branch-based development, Flyway can help turn large, fragile deployments into smaller, more frequent, and more reliable operations. Read more

Creating Custom Regex Rules for Code Analysis in Flyway

Every development team has its own coding standards. While Flyway provides built-in rules focused on security and data protection, teams quickly find they need additional checks to maintain SQL code quality and consistency across their projects. This article will walk through the ways of defining and testing custom rules, provides a starter pack of custom rules for common code smells, and then explains how to manage your rules efficiently as your rule library grows. Read more

Getting Started with Flyway SQL Code Analysis Rules

Before you apply pending SQL migration scripts, Flyway can automatically check them for a range of code smells. The check -code command can perform a static code analysis on these scripts to check that they comply with a set of rules designed to encourage good coding practices. You can opt to use SQL Fluff, provide your own Regex rules, or use both. This article explains how Flyway's regex-based code checks work and how to start running checks on Flyway-managed databases. Read more

Query Executions in Redgate Monitor

Query Executions in Redgate Monitor captures individual query executions for long-running queries, providing deeper insight into database workload and resource usage. This helps DBAs diagnose performance issues with greater accuracy. Read more

Scripting Databases with Flyway Enterprise CLI

This article will cover the basics of the Flyway generate command and how it can auto-generate several types of Flyway migration scripts. This includes versioned migrations that, after testing, can be used to deploy changes, and baseline migration and undo scripts that are useful for a range of development tasks. Read more

Automating Flyway Desktop Development using the Flyway CLI

This article is for any developers who want to learn how to use the Flyway CLI to automate the database development workflow used in the Flyway Desktop GUI, where we capture the schema changes made to a local development database, and then use schema comparison to auto-generate and validate a Flyway versioned migration script. Read more

Splatting in Flyway to Avoid Tedious Typing

This article covers splatting, explaining the advantages of using it with Flyway. We create reusable parameter sets and combine them as needed, using PowerShell. This simplifies multi-parameter Flyway commands, and makes it easier to execute consecutive Flyway operations within a pipeline. Read more

Comparing Databases and Generating Schema Models with Flyway

This article explains how to compare databases and generate schema models using Flyway Enterprise CLI with PowerShell. It allows developers and DBAs to identify schema differences between environments and create schema models that capture the current state of a database, making it easier to track and review changes over time. Read more

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