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WORKSHOP

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)

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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.

Speaker
Mayank-Raj

Mayank Raj

Lead Member of Technical Staff Salesforce.com India Pvt Ltd

Who can attend this workshop?​
  • Beginners to Advanced, aimed at folks familiar with Kubernetes and looking at growing the footprint
What all will be covered in the workshop?
  • Introduction
    Overview of Kubernetes and its Configuration Challenges
    Introduction to GitOps: Principles and Benefits
    GitOps in Action
    Setting Up a GitOps Workflow
    The Role of Git as the Single Source of Truth
    Synchronizing Kubernetes Clusters with Git Repositories
    Structuring Git Repositories for Kubernetes
    Best Practices for Organizing Configuration Files
    Using Git Branching Strategies for Environment Management
    Managing Secrets and Sensitive Data
    Tools and Technologies
    Leveraging Helm Charts for Packaging Kubernetes Applications
    Kubernetes Operators: Operators as Code
    Integration with CI/CD Pipelines
    Versioning and Rollback
    Benefits of Version Control in Configuration Management
    Implementing Rollbacks and Rollout Strategies
    Disaster Recovery with GitOps
    Real-World Use Cases
    Case Study 1: Scaling Kubernetes Workloads with GitOps
    Case Study 2: Ensuring High Availability and Resilience
    Case Study 3: Collaborative Development with GitOps
    Best Practices and Tips
    Avoiding Common Pitfalls in GitOps
    Monitoring and Auditing GitOps Workflows
    GitOps Security Considerations
    Scaling GitOps for Large Deployments
    Strategies for Managing Multiple Clusters
    Managing Complexity with GitOps
    Future Trends in GitOps and Kubernetes
    The Evolving Landscape of GitOps
    The Role of GitOps in Multi-Cloud Environments
    Conclusion
    Key Takeaways and Actionable Insights
    Embracing Declarative Configuration Management with GitOps
    Q&A and Discussion
Prerequisites to attend the workshop
  • Familiarity with containers and to some extent with Kubernetes
  • Laptop: Attendees should bring their laptops.
  • An open mind and a willingness to learn and apply new concepts

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.
Book Your Seat

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.