Build smarter with Kong, Redis & Devtron

### Registration

• Please RSVP via Meetup and fill out the form below

Register: https://forms.gle/1YqYak6QxyDQaFH68

Expect a high-energy half-day of learning and networking — all powered by Redis, Kong, and Devtron.

Whether you’re interested in simplifying API testing and CI/CD integration or exploring how Redis powers real-time, AI-native systems with features like vector search, semantic caching, and blazing-fast data access, there’s something here for every builder.
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### What’s On the Agenda

11:00 AM – 11:15 AM: Welcome & Kickoff
11:15 AM – 12:00 PM: Kong: Introduction to Insomnia – Simplifying API Testing and CI/CD Integration
Discover how to:

• Build a simple API and create an OpenAPI spec
• Generate collections from the spec for testing
• Automate tests using Insomnia CLI (inso)
• Run them in popular CI tools like GitHub Actions, GitLab CI, and Jenkins

Speaker: Juhi Singh, Developer Advocate, Kong

12:00 PM – 12:45 PM: Context Engineering with Redis
As we are seeing, AI Apps and Agents are becoming more widespread — context is everything. How does Redis impact to make your Apps/Agents faster and more efficient?
In this session, we'll explore how Context Engineering plays a key role in building real-time, AI-powered systems — and how Redis helps bring it to life. Learn how Redis can manage memory for large language models (LLMs), enable semantic caching, route requests smartly, and deliver lightning-fast responses by storing and serving relevant context at scale.
Whether you're building chatbots, recommendation engines, intelligent workflows — or just curious to understand what Context Engineering is all about — this session will give you a practical look at how Redis can be used to build more personalized and responsive AI experiences.
Speaker: Himanshumali, Senior Specialist Solution Architect, Redis

12:45 PM – 1:30 PM: Devtron: Topic to be announced

1:30 PM onwards: Networking & Lunch

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### Who Should Attend

Developers, DevOps engineers, Platform Engineers, AI/ML practitioners, Cloud Architects, API developers, SREs, and anyone interested in:

• Real-time systems
• API testing and automation
• AI-native architecture
• Scalable cloud infrastructure

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