Operations | Monitoring | ITSM | DevOps | Cloud

In July and August of this year, I revealed to our community for the first time that Bitbucket Cloud was engaged in a project to migrate to a new platform. As I wrote in July: I am thrilled to announce that, in late August, we officially completed this project and Bitbucket Cloud has been operating in AWS, data center-free for over 2 months. So how does this benefit our customers? This is one of the most technically complex projects we've ever tackled as a team.

We are excited to announce the launch of the Bitbucket Cloud Migration Assistant (BCMA). The BCMA is an Atlassian-supported app built to help Bitbucket Server customers automate the migration process from Bitbucket Server to Bitbucket Cloud. If you are considering a move to Bitbucket Cloud, this is the easiest way to get started. Download the BCMA from the Atlassian marketplace.

Support for including default values in custom pipelines has been a highly requested feature. We are happy to announce that this feature is now live. Providing a default value helps avoid errors when you manually trigger a custom pipeline. If you often rely on the same value for certain variables, it can be frustrating to get a failed build when you forget to specify the value or have a typo when providing the value.

Bitbucket Pipelines provides a Docker caching feature that can help improve build times. However, the limitation is that only compressed caches under 1GB are saved and can be used. In this blog, we outline a process showing how you can use compressed caches that are larger than 1GB. With Docker versions >= 19.03, you can use the BuildKit feature. With BuildKit, you don’t need to keep the cache locally before building the Docker image since it caches each build layer in your image registry.

As software applications grow in scale and complexity, the surface areas for security vulnerabilities and exploits grow with it. Modern development practices include large amounts of code reuse. First, in the form of language-specific standard libraries such as the C++ STL, the Golang standard library, and Microsoft.NET. Second, in the form of open-source libraries found on places like Github. Much of this code is built using other libraries, introducing a web of dependencies into modern software.