Systems | Development | Analytics | API | Testing

Three years after discussing Gearbox's cloud-based build pipeline with the P4 team, Steve Fortier and Phillip Peterson return to share what happened as Borderlands 4 grew from a secret project into a live game. As the team grew to support more branches, patches, and ongoing content, they encountered new challenges in P4, AWS, TeamCity, and Unreal Game Sync that only emerged on a massive scale. From symbol servers and workspace management to AWS storage and snapshot performance, they walk through the troubleshooting process behind several unexpected bottlenecks.

What would happen if you had to move a mission-critical application off your current cloud platform within the next year? In this webinar highlights reel, experts from Perforce OpenLogic explore why cloud portability, digital autonomy, and operational ownership are becoming strategic priorities for enterprise organizations. The panel opens with a simple but revealing question: How painful would it be to replatform a critical workload in the next 12 months? The answer often exposes hidden dependencies, operational risk, and the true state of an organization's cloud resilience.

Choosing between Docker Compose and Kubernetes can feel overwhelming, especially when both play an important role in modern containerization strategies. In this video, Zend Professional Services Manager Adam Culp breaks down Kubernetes vs Docker Compose. You’ll learn the essentials of container orchestration, discover when simplicity is an advantage, and understand when it's time to scale—plus, he recommends a new tool that can help, whether you choose Kubernetes or Docker Compose.

In this demo, Perforce Principal P4 User Advocate Jase Lindgren walks through setting up and deploying P4 Cloud on AWS. Jase will cover:· How to subscribe to P4 Cloud through the AWS Marketplace· How to configure and deploy your own P4 Cloud server· How to navigate and manage your P4 Cloud dashboard· How to connect to your server and prepare it for your team Next Steps & Resources.

Every tech leader is talking about agentic development and the promise of dramatically speeding up software delivery. But as organizations begin scaling AI-generated code, many are running into the same challenge: their test data processes can't keep up.