 Hi. I'm Ty Davis. Today I'm going to introduce you to how GitLab Value Stream Management provides analytics and insights across the entire software development lifecycle. GitLab is not just a collector data, it's a set of tools that's working across entire software lifecycle as a single application. GitLab does everything from project planning where we have the epics and roadmap views to source code management, CICD, monitoring and security. GitLab uses a single data store so you can get information about the whole software development lifecycle instead of parts of it. With multiple applications, you not only have multiple databases but also different definitions and processes. Multiple data stores lead to redundant and inconsistent data so you don't have to duplicate data nor do an incredible amount of manual entry. There is a single source of truth without having to build a data warehouse by using GitLab. Executive Insights, starting with Value Stream Analytics, built into GitLab. This provides the ability to measure the time spent to go from an idea to production for each of your projects and overalls in organization or within a specific group. And what we're actually looking at here is our own GitLab.org, so where we are developing our own software and we see the Value Stream Analytics that are directly correlated with our own engineering teams. Value Streams Analytics, this is useful in order to quickly determine the velocity of given teams, products or projects. It's going to help us point to bottlenecks if we see any, dive into at the very granular level the issues or merge requests that are around, that's causing that bottleneck in the Value Stream. And we are able to take this live dashboard and look at seven stages that are defined that are actually default out of the box with GitLab. So we have issue, plan, code, test review and staging and then that total that is taking all those and giving us a summary of that amount of time that's spent. So tracking is built into GitLab. So this is going to collect and show data across the software development lifecycle. As I mentioned, these stages come out of the box as the default stages, they're free and don't require customization to get that immediate value. But in addition to these default stages, we offer the ability to have extensive customization with stages, which is just actually a recent released capability. So a customer or even our own organization can customize these stages that are best suited for how we are approaching our Value Streams. So these two right here, which they probably should be rearranged to go above total, but I have database review and development customized. Thanks for checking out this video on an introduction to GitLab's Value Stream Management. Let's continue our conversation around developer insights as part of that Value Stream Management.