Skip to content


GitOps Mastery: Declarative Configuration Management with Kubernetes

19th OCT 2023 | 3:30 PM to 6:00 PM

Venue: Workshop Room 2, NIMHANS Convention Centre, Bangalore

FEE: ₹2999 (Limited seats available)

Unlock the power of GitOps and Kubernetes for seamless declarative configuration management in cloud-native applications. Learn to synchronize Kubernetes with Git, enhance collaboration, and streamline operations. Gain practical insights, best practices, and real-world use cases to boost efficiency and reliability in your DevOps journey.


Mayank Raj

Lead Member of Technical Staff India Pvt Ltd

Takeaways of this workshop for the attendees

  • GitOps Simplifies Kubernetes Management: GitOps provides a powerful approach to managing Kubernetes configurations, making it easier to handle infrastructure and application deployments by treating Git repositories as the single source of truth.
  • Enhanced Collaboration and Version Control: Implementing GitOps fosters collaboration among DevOps teams and developers. It also offers robust version control for your configurations, enabling you to track changes over time. 
  • Declarative Configuration for Kubernetes: Embrace the declarative configuration model, where desired states are defined in Git repositories, allowing Kubernetes clusters to automatically synchronize with these states. 
  • Structured Git Repositories: Organize your Git repositories effectively by following best practices. Proper structuring simplifies management and reduces complexity in larger-scale deployments.

About Speakers

I’m Mayank Raj, a Lead Engineer at Salesforce. I specialize in creating resilient, large-scale infrastructure and am experienced in AI/ML, Big Data, and emerging tech like AR/VR and Voice. At Salesforce, I focus on enhancing security and implementing cryptography across the ecosystem. My passion is high-performing AI/ML and Big Data solutions, and I excel in designing scalable, cost-effective systems. I’ve contributed to open source projects, including Firefox, and have experience in AI, particularly TensorFlow.js. In my career, I’ve worked on graph engines, highly available systems, and led teams from small to large, delivering efficient solutions, from clickstream apps to real-time web sockets.