Goldman Sachs improves from 1 build every two weeks to over a thousand per day
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The dynamic environment at Goldman Sachs requires innovative strategic thinking and immediate, real-time solutions.
Engineering teams removed toolchain complexity and accelerated DevOps adoption through GitLab’s automation.
Goldman Sachs solves clients' engineering challenges
Goldman Sachs is achieving what was previously assumed to be impossible. With the help of GitLab, the engineering team is now self-serving thousands of daily builds and dozens of teams are moving to production on a daily basis. Goldman Sachs empowered users with a strategic development tool and removed barriers around tool confusion and communication to speed up the delivery cycle. The Goldman Sachs engineering group is part of the technology division and global strategy groups, which are the critical center of the financial service provider’s business. They solve the most challenging and pressing engineering problems for Goldman Sachs clients. The group builds massively scalable software and systems, architects low-latency infrastructure solutions, proactively guards against cyber threats, and leverages machine learning alongside financial engineering to continuously turn data into action. Goldman Sachs' dynamic environment requires innovative strategic thinking and immediate, real solutions. The group was looking to increase developer efficiency and software quality through faster development cycles and decreasing the time spent from feature design to production rollout. They wanted to accomplish all of this while enabling concurrent development activities.
Increasing build speed by demolishing toolchain complexity
The firm had built its own toolchain but was looking for a solution to increase concurrent development. They wanted a modern toolset for managing code that developers coming into the firm would likely already be familiar with; this led to an evaluation of GitLab and other git-based vendor products. From their discovery process, they decided GitLab had the best CI/CD infrastructure to meet their needs. Initial users reported that it was easy to use and offered a complete end-to-end platform for software development, allowing them to replace their current toolchain and increase speed and coordination in the process.
GitLab increases Goldman Sachs' build velocity
GitLab is used as a complete ecosystem for development, source code control and reviews, builds, testing, QA, and production deployments. All the new strategic pieces of Goldman Sachs’ software development platforms are tied into GitLab.
GitLab is helping the business-line engineering teams move faster to develop and improve their software and deliver for clients. One of the firm’s most important projects has moved from a release cycle of once every 1-2 weeks to once every few minutes because of GitLab.
GitLab provided them a single application to roll out DevOps to the thousands of users at the bank. The ease of people only having to learn one application accelerated their adoption time. They were concerned that multiple tools, like most companies use, would be confusing, difficult to maintain and would deter adoption.
Dozens of teams pushing to production in less than 24 hours
The engineering group at Goldman Sachs is achieving this increased efficiency and speed by collaborating and connecting on a new level. They are seeing dozens of teams pushing to production in less than 24 hours. By tying together all the different parts of the development lifecycle into one consistent ecosystem, GitLab has helped developers work more effectively. All the different parts of what they need to do can be brought together under a single umbrella to be more efficient.
The team is also using GitLab as a means of moving teams to more strategic infrastructure which supports containers, as well as other strategic initiatives that are only offered on the new platform. This really helps make sure that the group is focusing efforts to use the latest technologies in the right places, and not just retrofit to the legacy infrastructure. GitLab also works well with Kubernetes out of the box which simplified their process.
All information and persons involved in case study are accurate at the time of publication.
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