KubeCon + CloudNativeCon India 2025

Is basic monitoring and logging using prometheus and ELK stack enough? Our DevOps automation platform suffered a major Kubernetes outage due to weak observability despite having the basic setup in place.

What Went Wrong?
Our "good enough" setup fell apart when it mattered most. Logs were a mess with no correlation, & tracing was half-baked, leaving us clueless during debugging. One customer’s CI/CD pipeline overwhelmed shared resources and brought everyone down. Aggressive autoscaling overloaded the control plane. Worst of all, a single tenant’s failure affected the entire cluster.

How did we fix it?
We swapped basic Prometheus for a distributed setup that could handle the scale. Workloads got isolated per tenant and team, with multi-tenancy baked in and dedicated monitoring to match. Fine-grained autoscaling & experimentation with tracing tools(Parca/Odigos). The result? A cluster that bends but doesn’t break.

If you want to avoid your own outage horror story, this talk is for you.

As organisations push to accelerate software delivery, Kubernetes has emerged as the backbone of modern platform engineering, enabling businesses to transcend traditional infrastructure and build scalable, high-performance platforms that empower developers to effortlessly deploy, manage, and scale applications.

In this session, I’ll dive into how Kubernetes is revolutionising platform engineering — turning complex infrastructure into self-service environments that drive automation, scalability, and developer efficiency. Through real-world case studies and forward-thinking strategies, I’ll demonstrate how Kubernetes helps organisations unlock unprecedented flexibility, accelerate delivery cycles, and build platforms that scale seamlessly in today’s dynamic landscape.

As AI rewires software engineering, fears of job loss are loud—but the truth is more layered. This panel unpacks the “last mile problem” in AI: the human intuition, creativity, and contextual understanding that machines still can’t fully replicate. Joined by a no-code pioneer and a Microsoft AI researcher, we’ll explore how AI is becoming a developer’s co-pilot—cutting grunt work, boosting focus, and enabling faster, more innovative builds. Yes, job roles will shift—but new, exciting ones will emerge. From AI-powered entrepreneurship to specialized SDLC roles in areas like AI model integration, prompt engineering, and AI ethics, discover how AI is less a threat and more a launchpad for what’s next in software development.

As we celebrate cTENcf—ten years of the Cloud Native Computing Foundation—we stand at an inflection point as significant as the day it was founded.

AI is no longer experimental, it’s foundational.

Not just a tool, but a tectonic force, reshaping the way we build, deploy, and most importantly, the way we lead.For engineering managers, technical leaders, and heads of platform, this moment demands more than adaptation—it demands reinvention.The old ways of working won't carry us forward.

AI-native teams don’t just need new tools, they need new thinking.

Leadership that is bold enough to break silos.

Structures that can flex with uncertainty.

Cultures where infrastructure and intelligence are not separate spheres, but tightly interwoven.In this keynote, I’ll share raw, real stories from my own experience leading large engineering teams—and from conversations with peers across the globe—about what it truly takes to lead through this transformation.

Not just to survive the shift but to shape it.This is not about org charts. This is about leadership.
Vision. Adaptability. Conviction.The future of cloud native AI is being written now—and the next chapter begins with you.