The SPACE framework is an acronym for an approach to measuring, understanding, and optimizing engineering productivity. Outlined by researchers from GitHub, Microsoft, and the University of Victoria, it encourages leaders to look at productivity holistically, placing leading metrics in context with each other and linking them to output, often team goals, rather than individual effort. The SPACE framework breaks productivity into five metrics.

Over the last decade, I’ve rarely met a data professional whose organization wasn’t experiencing data growth and making more demands of their data. We build and deploy new applications faster than we retire old ones, and new data is accumulating dramatically faster on our existing systems than our ability to decide to delete older information. Additionally, the ever-growing number of users and devices interacting with that data increases the strain on the infrastructure underpinning it.

In a series of blog posts about AI, I’ve been looking at how intelligent ChatGPT is, how good ChatGPT and Bing are when you employ them as a technology writer, and how the engineering team at Redgate is using GitHub Copilot to aid with writing code. Now it’s time to take a look at image creation tools, and where better to start than Andy Warhol? I like Andy Warhol.

The rise in popularity of open-source RBDMs has encouraged many organizations to adopt PostgreSQL, but as a DBA or Developer, it can be challenging when exploring new database platforms, no matter how experienced you are. When looking at SQL Server, it has many similarities to PostgreSQL, but there are several big differences too.

As the size and complexity of database estates increases, with more workloads and data being hosted on more platforms, both on-premises and in the cloud, so the appeal of third-party database monitoring tools has also grown. Their ability to provide a holistic view of an entire estate and monitor multiple databases and platforms from a single dashboard has been shown to save DBAs and IT teams many hours of time when compared to home-grown solutions.