In today’s data-driven world, structuring effective data organizations is more crucial—and more challenging—than ever....

No silver bullets. No fluff. Just a raw, unfiltered look at the future of DevOps—and what it demands of you as a leader. Will AI run DevOps, or will you?

As the entire world is looking at GenAI as the replacement for our workforce there is a way to join forces with it, and find ways to better out teams....

As organizations across industries increasingly recognize the strategic value of data, the role of leadership in fostering a data-driven culture has never been more critical...

In this session, the CTO of env0 shares an unvarnished account of the trials, triumphs, and hard-won lessons that came with spearheading one of the most ambitious open-source initiatives in recent years...

Explore how leading organizations scale data operations and cultivate a strong, data-centric culture.

oin us as we envision the future of engineering and software development through the lens of AI, discussing what is possible today and what lies ahead.

As startups scale, engineering managers face an evolving set of challenges that require both technical expertise and visionary leadership. This panel will delve into the current difficulties engineering managers encounter in scaling startups...

As our technology evolves so do the functions that are tasked with powering it, including the roles of DevOps, SRE...

In the high-stakes world of software engineering, managers are constantly seeking ways to unlock their team's true potential...

Let's be honest, how much of your DevOps team's time is spent putting out fires or acting as support for your developers instead of building the future?

As startups scale into larger organizations, the engineering challenges shift significantly. In this session, I’ll share three practical strategies to help your development organization grow without halting ongoing business commitments...

As managers, we invest significant effort in leading our teams—but what about leading our own managers?

Scaling a data ecosystem for 20B+ daily events requires smart, and efficient solutions...

This session examines how R&D leaders can maximize their teams' business impact by fostering strategic collaboration with business departments.

A coder's work is never done. Some problems stay unsolved for days, some bugs keep returning release after release...

Discover how AI is revolutionizing engineering management and people development. This talk explores practical applications of AI for enhancing leadership capabilities...

In typical FinOps sessions, you often hear about choosing the proper sizing, shutting down resources, selecting the appropriate resource options, right-sizing, auto-scaling, and more..

Transitioning into a senior data leadership position requires more than just technical expertise...

Scaling an engineering team is much more than a numbers game—it’s about creating ownership, evolving leadership styles, and building sustainable processes. ..

What if your technical interviews didn’t just find great coders but amazing teammates who stick with you for the long haul?

Our security startup initially experienced strong market traction, but a series of significant outages a few years in threatened to undermine our progress...

Building and maintaining high-performing data teams requires not just technical skills, but also a strong cultural fit and alignment with company values....

In today’s fast-paced tech industry, hiring junior developers presents both exciting opportunities and significant challenges...

Panelists TBA

In times of crisis and profound change—whether it's wartime, company downsizing, or organizational pivots—engineering managers and tech leaders face an unparalleled set of challenges....

Traditional performance reviews often fail to provide clear expectations, foster growth, and ensure objective career progression...

Dive deep into the evolving landscape of software development productivity measurement, where traditional metrics fall short and modern approaches prevail.

Why is data adding so much complexity?

In the ER, every second counts. Teams must assess, prioritize, and act under pressure to save lives. What if we applied the same principles to production incident response?

Tired of your team not delivering what you need? Wondering why they don’t ‘just get it’?