Shibi Ramachandran
Developer @ ING
Amsterdam, The Netherlands
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I'm a Developer with experience in building scalable distributed systems and data platforms. I have pioneered a self-service model for creating streaming pipelines. I bring practical insights into running mission-critical event streaming platforms in production. I regularly share my expertise through technical blogs and open-source contributions.
Area of Expertise
Topics
AI-Powered Coding on Your Terms: Bring Your Own Model
AI coding assistants can supercharge developer productivity—but relying on cloud-based models isn’t always ideal. What if you could run your own AI assistant, tailored to your workflow and with full control over privacy, speed, and cost?
In this session, we’ll explore how to integrate self-hosted or custom AI models into your IDE.
You’ll learn how to set up and fine-tune your own model, embed AI into your development workflow, and boost efficiency without relying on external services.
Expect live demos, real-world examples, and practical takeaways you can apply right away.
GraalVM Native Image: Building Sustainable Spring Boot Applications
Native images aren't just about fast startup times - they're a key tool in building sustainable Java applications. This session demonstrates how to optimize Spring Boot applications with GraalVM Native Image while measuring and reducing their environmental impact.
Scaling Kafka in Kubernetes: A Deep Dive into Apache Strimzi
Apache Strimzi transforms the way organizations deploy and manage Apache Kafka on Kubernetes, making cloud-native event streaming accessible and scalable. This session explores how Strimzi automates complex Kafka operations, offering a truly cloud-native experience through custom resources and operators. I will demonstrate real-world deployment patterns, and share best practices for running production-grade Kafka clusters in Kubernetes environments.
Beyond GitOps: Building Intelligent Drift Detection and Auto-Remediation in ArgoCD
Let's discover how to extend ArgoCD's capabilities by building a sophisticated drift detection and auto-remediation system. We'll demonstrate how to combine ArgoCD's Resource Hooks, Custom Health Checks, and the ApplicationSet controller to create an intelligent system that not only detects configuration drift but automatically resolves it based on defined policies. Through live coding, we'll build a custom controller that monitors for unauthorized changes, implements smart rollback decisions, and provides real-time notifications. Learn how to leverage ArgoCD's API to implement advanced reconciliation patterns, track drift metrics, and create audit trails of all remediation actions. Perfect for teams dealing with dynamic environments where maintaining configuration consistency is crucial.
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