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How Tubi Scaled Super Bowl Streams to 15M+ Without Downtime
How Tubi streamed the Super Bowl to 15M+ users with zero downtime—engineering lessons from Arun Shankar, Director of Engineering at Tubi.
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3 Essential Frameworks for Engineering Leaders to Influence Product Roadmaps
Discover three essential frameworks that empower engineering leaders to influence product roadmaps: Lean Canvas, Design Sprints, and Pirate Metrics. With practical examples, this guide helps you articulate ideas, validate concepts, and measure success to bring your vision to life.

Are Product Managers in Your Organization Driving the Vision—or Just Managing Projects?
Are the product managers in your organization truly driving innovation, or are they merely managing tasks? In this article, we explore the evolving role of product managers and the impact of vision-driven leadership on product success. Learn key strategies to empower your product team to think beyond project management, prioritize visionary thinking, and drive meaningful change within your organization.

From Monoliths to Microservices: Lessons from the Frontlines of Success and Failure
Discover how engineering leaders can build scalable, resilient architectures with microservices. This post dives into real-world examples from companies like Netflix, Amazon, and Uber, highlighting key principles like domain-driven design, cross-functional ownership, and asynchronous communication.

Unlocking the Power of Nearshore Talent with Raif Rahal
Discover how Raif Rahal from World Supply International effectively scales engineering teams with nearshore talent. Learn about cultural alignment, operational readiness, candidate preparation, and competitive compensation in this recap of our episode of Tech Teams Today.

Engineers and Product Managers: Striking the Balance in Tech Teams
Explore how different reporting structures impact collaboration between engineers and product managers. Discover the pros and cons of various models and learn why leading through influence, rather than control, can foster better alignment and faster product delivery.

How to Ship Code in 2 Days: Insights from CollegeVine CTO Chris Coffey
Learn how Chris Coffey, CTO at CollegeVine, leads his team to deploy software in just two days without sacrificing quality. Discover his strategies for rapid iteration, empowering engineers, and managing a remote team.

Data and AI: Building Solid Foundations for Success
Revelo Co-CEO Lachlan de Crespigny breaks down his key takeaways after sitting down with Yongsheng Wu, VP of Engineering at Granica.ai, with insights on building solid data systems, leveraging AI and machine learning for efficiency, and fostering innovation within engineering teams. Learn how to build a foundation for successful AI initiatives and optimize your data management strategy.

The Foundations of a Successful AI-Driven Product Strategy
Learn how top tech companies leverage AI to speed up development, deliver smarter features, and stay ahead of the competition.

Mastering the Art of Leading Hybrid Engineering Teams
Learn how to lead hybrid engineering teams effectively with insights from Google, Microsoft, and GitHub. Discover best practices for communication, collaboration, performance management, and building a strong team culture in a hybrid work environment.

Engineering the Future: How AI is Shaping the Next Era of Software Development
Explore how AI is reshaping software development. Learn from Revelo CEO Lachlan de Crespigny and top engineering leaders on how to integrate AI, improve workflows, and drive innovation. Discover the impact of AI on team composition, code quality, and collaboration.

Identifying Tech Recruitment Metrics for Growth
This article examines 11 crucial recruiting metrics that tech hiring managers should analyze, including time to hire, cost per hire, quality of hire, and offer acceptance rate. It explains each metric’s importance and suggests ways to improve it.

Generative AI vs. Machine Learning: Key Differences and Uses
What sets generative AI vs. machine learning apart? Explore these technologies, their fundamental differences, diverse applications, and a few important considerations for their implementation.
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