From Caching to AI Systems - The First Valkey Meetup Bengaluru
Join us for the very first Valkey Meetup in Namma Bengaluru - a morning filled with conversations around open source, AI infrastructure, distributed systems, real-time architectures, and the rapidly growing Valkey ecosystem.
Whether you're a backend engineer, SRE, platform engineer, AI builder, DevOps enthusiast, or someone curious about modern infrastructure technologies - this meetup is for you.
Can’t make it in person? Join us live on Zoom : https://amazon.zoom.us/j/95581639849?pwd=7PAkUHVyZ8BIFQIuSmMxWweOAddz2J.1&from=addon
10:30 - Registration
11:00 - Welcome & Keynote by Roberto Luna
11:10 - Valkey Community by Achanandhi
11:20 - Talk 1: Valkey in 2026: 150+ Million Pulls, AI-Native, and Just Getting Started by Roberto Luna Rojas (Sr. Developer Advocate, AWS)
12:00 - Talk 2: JSON, Bloom & Hash-Field TTLs — 3 Valkey 9 Features Your App Probably Wants by Vishal Alhat (Developer Advocate, AWS)
12:30 - Break
12:45 - Talk 3: Valkey as a Real-Time Data Fabric for AI and Event-Driven Systems by Suriyaa Thiyagarajan (Database Administrator at Comcast)
13:15 - Talk 4: Valkey Pub/Sub: Real-Time Communication Across Microservices by Manish Jhanwar (Software Architect and Education Consultant)
13:45 - Lunch
14:45 - Closing remarks
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⚡ Talk 1: Valkey in 2026: 150+ Million Pulls, AI-Native, and Just Getting Started
Roberto Luna Rojas (Sr. Developer Advocate, AWS) will walk us through the incredible growth of Valkey - from powering workloads at companies like Airbnb, Google, Apple, Amazon, and Intuit to becoming a key part of modern AI infrastructure. We’ll explore Valkey 9.0, AI-native use cases, community growth, upcoming roadmap updates, and how you can get involved in the ecosystem.
⚡Talk 2: JSON, Bloom & Hash-Field TTLs — 3 Valkey 9 Features Your App Probably Wants
In this session, Vishal Alhat (Developer Advocate, AWS) will explore three powerful Valkey 9 features that can remove a surprising amount of glue code from modern applications.
We’ll look at practical use cases for JSON documents, Bloom filters, and per-field TTLs on hashes through problems developers commonly face in real systems — like storing structured user profiles efficiently, checking duplicate events without expensive database queries, and expiring specific session fields without managing multiple keys.
Takeaways:
When to reach for JSON.SET/JSON.GET instead of HSET or pickled blobs
Where Bloom filters earn their keep (and where they don't)
How HEXPIRE changes your session, rate-limit, and cache-invalidation patterns
How to get all three running in one container via valkey-bundle
⚡ Talk 3 : Valkey as a Real-Time Data Fabric for AI and Event-Driven Systems
In this session, Suriyaa Thiyagarajan (Database Administrator at Comcast) will explore how Valkey can evolve beyond traditional caching into a powerful real-time data layer for AI systems, event-driven applications, and modern distributed architectures. The talk will cover practical challenges around latency, synchronization, and scaling - and how Valkey helps solve them in real-world systems.
⚡ Talk 4: Valkey Pub/Sub: Real-Time Communication Across Microservices
In this session, Manish Jhanwar (Software Architect and Education Consultant) will explore how Valkey can be used beyond traditional caching to enable communication across modern microservices architectures.
The talk will cover practical use cases, real-world architecture patterns, and how Valkey fits into event-driven systems for fast and efficient service communication. We’ll also look at how Valkey compares with messaging platforms like Apache Kafka, where it fits best, and the kinds of problems it can help solve in modern distributed applications.
Expect technical discussions, architecture insights, open-source conversations, and networking with Bengaluru’s amazing engineering community.