Join us for "Come for Cloud, Stay for Success," an immersive meetup hosted by GDG Cloud Bengaluru. This session is designed for developers, architects, and platform engineers looking to sharpen their edge in the ever-evolving cloud ecosystem.

We are diving deep into the core pillars of modern engineering: Google Cloud Platform (GCP), Infrastructure as Code, DevOps practices, and the world of Containers and Kubernetes. Whether you are looking to optimize your deployment pipelines or scale your K8s clusters, this meetup offers the technical insights and community networking needed to drive your professional success.

When: Saturday, April 25th | 9.30 AM - 2 PM

Location: Postman Office, Bengaluru

Fill out this form to express your interest. 

Agenda: 

09:30 AM – 10:00 AM: Arrivals and settle-in

10:00 AM – 10:15 AM: Welcome and Introductions

10:15 AM – 10:45 AM: Architecting Resilience: Solving the Hardest Problems in Multi-Tenant Data Platforms

10:45 AM – 11:15 AM: Reduce the cost of gen using multi model (Gemma and Gemini) with smart GKE signals

11:15 AM – 11:30 AM: Fun Quiz

11:30 AM – 12:00 PM: Supercharging Kubernetes Operations with AI: Hands-on with kubectl-ai and Kagent

12:00 PM – 12:30 PM: Everything, Everywhere, All at Once: The Making of a Complete Cloud App

12:30 PM – 02:00 PM: Networking / Lunch

Details: 

Title: Architecting Resilience: Solving the Hardest Problems in Multi-Tenant Data Platforms

Speaker: Abel Mathew

Abstract: Building a multi-tenant data platform requires balancing strict performance isolation with the inherent unpredictability of distributed systems. This talk dives into the practical mechanics of building production-grade pipelines, from achieving exactly-once semantics and managing out-of-order events to optimizing skew and object storage for high-throughput parallelism.

Attendees will walk away with production-tested strategies for:

- Mitigating data skew and the thundering herd effect in multi-tenant environments.

- Implementing robust and cost effective disaster recovery and backup patterns.

- Building a unified stream and batch processor.

Title: Reduce the cost of gen using multi model (Gemma and Gemini) with smart GKE signals

Speaker: Geeta Kakrani

Abstract: This session explores how to build cost-efficient and scalable Generative AI systems using a hybrid architecture powered by Google Kubernetes Engine, Gemma, and Gemini. It introduces a GenAI Cost Router architecture that leverages dynamic routing, semantic caching, vector search, and GKE signals to optimize model selection and infrastructure utilization in real time.

We demonstrate how to intelligently route requests between large and small models, reuse responses to reduce token consumption, and use infrastructure-level signals (such as scaling and resource usage) to drive decision-making. The session focuses on building production-ready, multi-agent AI systems that balance cost, latency, and performance.

Attendees will gain practical insights into designing intelligent, signal-driven GenAI architectures that are scalable, efficient, and ready for real-world deployment.

Title: Supercharging Kubernetes Operations with AI: Hands-on with kubectl-ai and Kagent

Speaker:  Ashutosh Bhakare

Abstract: Shift from manual YAML management to AI-assisted orchestration. This session demonstrates how to leverage kubectl-ai for natural language resource generation and Kagent for intelligent cluster insights. Learn to reduce cognitive load and speed up your deployment workflows using generative AI directly from your terminal.

Title: Everything, Everywhere, All at Once: The Making of a Complete Cloud App

Speaker: Sathish VJ

Abstract: Modern cloud development demands more than just code, which can be generated; it requires a holistic mastery of networking, security, infrastructure, etc. that bind a production app together. This session takes a Q&A-driven approach modeled after Google Cloud’s professional certifications to solve real-world architectural puzzles in real-time. We will navigate the complexities of global VPCs, IAM hierarchies, and database selection to transform fragmented services into a singular, resilient ecosystem. Whether you are chasing a Professional Architect badge or hardening a global deployment, you’ll learn to orchestrate GCP’s powerful toolkit.