01 January 2020
01 January 2020

Why the Database Must be Part of DevOps

According to Microsoft, DevOps is “the union of people, process, and products to enable continuous delivery of value to our end users.” The definition doesn’t mention any frameworks or specific tools, and it’s more about communication and culture than any technology. That said, automation and tooling are critical components of DevOps as it helps organizations … Read more
30 April 2019
30 April 2019

What is Automation?

Today I got a bit closer to a meaningful definition of automation as it applies to the software development process. I’ve been turning this concept over in my head for a while, which is partly related to the dreaded question of licensing. Why should licensing an automation product be related to the number of users? … Read more
02 August 2017
02 August 2017

Automated Database Provisioning for Development and Testing

If your development team needs to work on anonymised copies of the current production database, and if changes are being delivered rapidly as well, that could mean a lot of time and routine DevOps work copying databases. SQL Clone was designed for tasks like this. Grant Fritchey investigates whether you save time, effort and scripting over the more traditional approach, and at what point it makes sense to use it.… Read more
20 June 2017
20 June 2017

Database Code Analysis

Database code analysis will reduce the number of 'code smells' that creep into your database builds. It will alert the team to mistakes or omissions, such as missing indexes, that are likely to cause performance problems in production. It will allow the Governance and Operations team visibility into production readiness of the code, warning them of security loopholes and vulnerabilities. William Brewer describes the two technical approaches to database code analysis, static and dynamic, and suggests some tools that can help you get started.… Read more
13 April 2017
13 April 2017

A DLM Approach to Database Testing

Database Lifecycle Management aims to make the development and modification of databases more predictable. Bugs are the source of more unpredictability than anything else, purely because it is so difficult to guess how long it will take to fix them. Good testing at all stages may take some time and effort, but it greatly reduces likelihood of the wildcard factor of the bug that is first detected during the deployment process; or worse, that gets into the production release.… Read more