GitLab launched its next major iteration, GitLab 15, starting with its first release version, 15.0, which the company said pulls together new DevOps and data science capabilities into the platform. With GitLab 15, GitLab says it provides (or soon will provide) continuous security and compliance, enterprise Agile planning, visibility and observability, workflow automation and increased support for data science workloads.
In an interview with DevOps.com, Hillary Benson, director of product management, detailed how GitLab 15 provides several security benefits, including the ability to automatically create an exportable software bill of materials (SBOM) and signed attestation for build artifacts, centralized security policy management including a two-step exception approval process, as well as providing compliance managers the ability to see project history changes and better enforce policy. “Supply chain security, especially, has become a major area of focus for us, both because it’s become a high priority in the industry and because GitLab is uniquely positioned to support customers well in this area,” Benson said.
GitLab 15 also provides improved static application security testing (SAST) with stronger and more flexible rules and finding management, Benson said. Finally, users can pool together GitLab project data to create custom automations.
According to Benson, GitLab 15 will also introduce more capabilities that interlink data across every stage of the DevOps life cycle from initial planning, implementation, deployment and monitoring. “Some of the things that will happen in this area are additional options for the types of work items that can be managed,” said Benson. That includes supporting a more diverse range of workflows and frameworks—including enterprise Agile frameworks. The platform will continue to support issues, epics and requirements and soon enable tasks, features and objectives.
GitLab 15 provides new capabilities the company hopes will increase visibility and enable an end-to-end view of value delivery and application health, the company said. The unified collaborative context will help remove DevOps silos within organizations and decrease incident rates as well as provide comprehensive insights into issues that hinder performance in addition to real-time triaging of incidents. These new capabilities can help shorten lead times from code to production, reduce error frequency and severity, help development teams deploy more frequently and reduce mean-time-to-recover (MTTR) after an incident.
Upcoming features include improved product analytics and experimentation, such as increasing the practicality of surfaced data by enabling testing and validating new ideas and measuring the adoption of DevOps best practices across teams and projects, Benson said. Expanded support for all DevOps research and assessment (DORA) metrics including improvements to value stream analytics for projects and groups is also addressed. “This is about making it easier to understand what value your product is bringing,” said Benson. “We’re introducing product analytics and experimentation to increase the practicality of the data that you’re using and the data you’re collecting to actually move your product forward,” says Benson.
Finally, GitLab 15 will increase support for data science teams and their workloads. “This is about streamlining the development and deployment of machine learning models to train and test those and then get them into production. We’ll also be working on providing monitoring for those workloads so that it can be understood if those models are being used, how they’re being used and where there may be performance issues,” said Benson.
