Windocks new support for live secondary databases is a game changer for a growing number of use cases. Near real-time access to production databases is a boon for devops, database migration, production database debug support, and even DR with “readiness

AWS RDS is growing in popularity for managed and scalable SQL Server databases as a service. Support for SQL Server Report Server, however, has been limited to conventional instances on EC2 VMs. Read about a new approach that applies SSRS containers for greater scalability and

Containers combined with database cloning is being used to modernize software development. But, the journey toward automated DevOps processes is a step-wise progression. In this article we look at some practical steps to answer the question of “should I be backing up developers

Cohesity is a leader in secondary data management and storage, so it’s not surprising that Windocks customers have asked for turn-key stateful management of Cohesity data with delivery to SQL Server containers and instances. The combination of enterprise class data storage with SQL Server…

Migrations of SQL Server databases to a recent release is an ongoing challenge of SQL Server DBAs. In this article we take a look at how containers and database cloning can simplify the process, with an in-depth look at migration of SQL Server 2008 to SQL Server 2017 Linux

Containers are a new capability for Windows, and SQL Server containers in particular have evolved significantly since their introduction in 2016. In this article we take an in-depth look at Microsoft’s and Windocks Windows SQL Server

In this article we examine the use of SSRS containers combined with database cloning as a new approach to SSRS scale out, and one that supports use of SQL Server standard

In this blog we take a look at how Windocks approaches relational data management differently from other container engines, by including data as a container

In this article we look at how database cloning can scale to provide on-demand delivery of SQL Server data warehouses of 20 TB or more in size, for an effective on-demand capacity of 1 PB of SQL