Param Rajani
Param Rajani is a Software Engineer at GoDaddy with around 3 years of experience working in startups as a Data Engineer and later promoted to Senior Data Engineer.
His expertise lies in building scalable workflows on both serverless and Kubernetes platforms, having spearheaded product deployments in these domains. Param has witnessed the best and worst of scaling challenges, designing systems on Kubernetes and AWS, optimizing existing architectures, and crafting maintainable codebases. He brings hands-on experience with Python, Kubernetes, and a wide range of AWS cloud services—all achieved at an early stage in his career.
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Session
Can Celery do more than just background tasks? Absolutely.
In this session, I'll share a real-world use case where we transformed Celery into a full-fledged workflow orchestrator — handling serial and parallel task execution, task retries, dynamic routing, and queue management — all running at scale on Kubernetes.
Paired with K8s' elasticity and Celery's simplicity, this setup replaced a slower, costlier serverless architecture built on AWS Lambda and Step Functions. You’ll learn how Celery’s canvas patterns, task routing, and worker isolation let us orchestrate complex ML pipelines efficiently, and why it's still a powerful, underappreciated tool for scalable, production-grade systems.
If you're tired of serverless trade-offs and want more control without giving up scalability, this talk is for you.