DevConf.IN 2026

Supercharge Your GitOps with ArgoCD Agent
2026-02-14 , VYAS - 1 - Room#VY103

GitOps, championed by tools like ArgoCD, has become the de facto standard for modern application deployment. While ArgoCD excels in managing applications within a single Kubernetes cluster, deploying and managing workloads across a fleet of clusters can introduce complexity. This session introduces the ArgoCD Agent, a powerful component designed to simplify and secure multi-cluster GitOps workflows. Modern enterprises run multiple clusters to balance compliance, resilience, and team autonomy across global operations. Attendees will learn what the ArgoCD Agent is, how it addresses challenges in a distributed environment, why it was developed, how it solves the scaling problem and see a live demonstration of it in action. If you manage more than one Kubernetes cluster and use ArgoCD, this talk is for you.


What level of experience should the audience have to best understand your session?: Intermediate - attendees should be familiar with the subject

I'm a passionate developer from India working on OpenShift GitOps and Kubernetes operators. I'm actively expanding my expertise in Kubernetes operators, exploring how declarative infrastructure and intelligent automation can simplify complex cloud architectures. My work bridges the gap between cutting-edge technology and practical enterprise applications.
When not coding, Anand draws inspiration from anime, manga, and thought-provoking conversations on the JRE podcast.

Senior Software Engineer with 6+ years of experience designing and building scalable microservices and Kubernetes operators. Actively involved in the Kubernetes ecosystem, with hands-on expertise in controller-runtime, CRDs, and cloud-native architectures. A passionate open-source contributor, I enjoy collaborating with the community to improve reliability, operability, and developer experience across projects. Always eager to learn, experiment with new technologies, and drive innovation by solving real-world problems at scale.