Lenses VS Code Plugin & Kafka Migration
Discover how the new Lenses 6.2 VS Code plugin revolutionizes the way developers interact with Kafka and streaming data infrastructure. In this deep-dive tutorial, we explore how to manage your entire streaming ecosystem directly from your IDE, eliminating context switching and boosting productivity.
Learn how to connect the Lenses plugin to your Kafka clusters, navigate environments (Dev, Prod, Staging), and perform powerful SQL searches on live data. We walk through a real-world demo building a Java-based streaming application to identify slow credit card transactions, showcasing how to verify schemas, test logic with SQL snapshots, and monitor downstream topics side-by-side with your code.
Whether you are a data engineer or a Java developer, the Lenses VS Code plugin provides the tools you need—including RBAC security and AI-ready MCP server support—to streamline your Kafka development workflow.
Key Highlights:
- Connecting Lenses to VS Code via OAuth or credentials.
- Indexing Kafka entities for lightning-fast search.
- Running SQL queries on streaming data within the IDE.
- Side-by-side schema and data visualization.
- Managing favorites and troubleshooting live applications.
Get started with the Lenses VS Code plugin today! Check out the GitHub repository mentioned in the video to download the preview.
#Kafka #StreamingData #VSCode #LensesIO #DataEngineering #JavaDevelopment #SoftwareDevelopment #SQL #BigData
00:00 - Introduction to Lenses 6.2 & VS Code Plugin
00:22 - Connecting IDEs to Streaming Infrastructure
00:51 - Security, RBAC & AI Agent Support
01:13 - Demo Overview: Building a Kafka App
02:34 - Setting Up & Authenticating the Plugin
04:03 - Navigating the Lenses Sidebar & Environments
05:19 - Searching & Discovering Kafka Topics
06:23 - Data Discovery: SQL Searches & Schemas
08:04 - Testing Application Logic with SQL Snapshots
10:15 - Troubleshooting & Monitoring Live Results
12:17 - Using Favorites & Improving Workflow
13:34 - Future Roadmap & How to Get Started