SQL Clone

SQL Provision

NEW – Create, protect and manage non-production databases with SQL Provision

SQL Provision allows users to create copies of SQL Server databases in seconds, using a fraction of disk space, and mask any sensitive data to help address data privacy and protection concerns. It serves as a gateway between production and non-production environments, to ensure the safe distribution of database copies from one central location, without blocking Read more

SQL Clone

The Database DevOps Challenges SQL Clone Solves

SQL Clone helps to accelerate the delivery of databases updates, by enabling an organization to provide database copies, and the right data, to all parts of the deployment pipeline that need it, with a light footprint, and securely. It removes much of the administrative burden of providing a ‘database refresh’, while still allowing operations teams Read more

SQL Provision

How to automatically provision sanitized data using SQL Clone, Data Masker and PowerShell

National and regional legislation, as well industry standards, dictate what an organization can and can’t do with sensitive data, as well as how it needs to be handled, audited and protected. In addition, the General Data Protection Regulation (GDPR) tightens up enormously the requirements for storage, handling, processing, disclosure and erasure of personal information about Read more

SQL Clone

SQL Clone v2.4 – run scripts during image creation

SQL Clone 2.4 incorporates a new T-SQL script runner that the team can use to mask sensitive or personal data, or to modify security and other configuration settings, prior to creating a clone. In SQL Clone, we first create an image, which is a full point-in-time copy of the database, and from this image we Read more

SQL Clone

SQL Server Database Provisioning: Getting Started with SQL Clone

It’s a hard and time-consuming task for a DBA to provide developers with development and test copies of a ‘production’ database. Nevertheless, both the development and operations team have a shared interest in stopping as many data-related ‘bugs’ as possible from reaching the production system. This requires team to perform integration, performance and acceptance testing, Read more

SQL Clone

SQL Clone Quick Tip: Offloading DBCC checks

If corruption creeps into a database, and from there into its backup chain, it can and will derail the best-laid Disaster Recovery plans. How, as a DBA, do you guard against this? The first line of defense is SQL Server’s CHECKSUM verification, but to be certain that a database is corruption-free, you need to run Read more

SQL Clone

How Redgate use SQL Clone internally to provision databases

A common thread behind the software we develop is a problem or issue we’ve come across in the software development process. We then adopt the software ourselves, which gives us a real understanding of the features that need to be developed further. To gain a deeper insight into SQL Clone, we spoke to Joseph Woodhouse, Read more

SQL Clone

Database provisioning from backups using SQL Clone

In a previous article, Getting Started with SQL Clone, I described how SQL Clone could remove much of the administrative burden from the database provisioning process, the advantages of a new, lightweight process to spin up ‘real databases’ for use in development and test work, and finally how to produce images and then clones, starting Read more

SQL Clone

Bringing DevOps to the database – Moody’s Analytics and SQL Clone

Developers need copies of databases to successfully create new code, test programs and fix issues, but provisioning copies is time-consuming, and each one can take up large amounts of storage space – up to a terabyte and more in many cases. This challenge can potentially slow down extending DevOps to the database and ultimately hit Read more

SQL Data Generator

Protecting production data in non-production environments

A traditional IT problem in many organizations is that the development and operations teams each work in their own silo, and each tends to regard the other as having different, and often conflicting, goals. Developers are focused on the needs of just one application. Operations must keep the whole maze of production systems running throughout Read more