As cloud architectures mature, engineering teams face a new reality: managing complex distributed systems at scale without skyrocketing costs or security blind spots. Join GDG Cloud Bengaluru to go beyond the basics of cloud hosting and dive into production-hardened Google Cloud engineering - from high-performance container orchestration to resilient data infrastructure.

Date: 4th July, 2026

Time: 9:30 AM to 2:30 PM IST

Location: Nasdaq Headquarters India (https://maps.app.goo.gl/wYqBDNwZqPiAvVRc7)

What to Expect:

Next-Gen Infrastructure: Deep dives into modern GKE, platform engineering automation, and managing high-throughput workloads.

Architecture Under the Hood: Real-world engineering strategies for building fault-tolerant, secure, and cost-optimized cloud platforms.

Production-Grade Data Pipelines: Moving, processing, and analyzing massive data streams across GCP environments with minimal latency.

Network & Community: Connect with local cloud architects, engineers, and SREs solving complex scalability challenges in production.

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: Era of Production Agent Engineering with Google Cloud Agent Platform

10:45 AM – 11:15 AM: Chatting with Your Data: Conversational Analytics in BigQuery

11:15 AM – 11:30 AM: Fun Quiz

11:30 AM – 12:00 PM: From Alerts to Actions: Building Autonomous Incident Response Agents on Google Cloud

12:00 PM – 12:30 PM: GKE agent sandbox: AI helping developers deploy!

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

Session details:

Talk 1:

Era of Production Agent Engineering with Google Cloud Agent Platform by Abhishek Sharma

Description: The novelty of AI chat interfaces has passed, we have officially entered the era of Agent Engineering. For enterprises the challenge has shifted from Can we build it? to How do we make it reliable, secure, and scalable for production? In this session, we will explore the transition from experimental AI prototypes to robust, agentic assembly lines. Where, I will guide audience through the architectural requirements for production-ready agents, focusing on how Google Cloud’s Agent Platform addresses the enterprise bottleneck, the gap between a working demo and a resilient system with the help of different solutions like ADK, Agent Engine, MCP Servers, Agent registry, Model Armor, Memory Bank, Agent Identity & Evaluation.

Talk 2: Chatting with Your Data: Conversational Analytics in BigQuery by Aryan Irani

Description: We are officially moving past the era of static dashboards and into the era of "Agent-Scale Analytics." In this session, you will learn how to unlock the power of Conversational Analytics in BigQuery to query your enterprise data using natural language. Through live technical demonstrations, we will explore how to build secure, governed AI agents from scratch using Dataplex glossaries and Verified Queries to execute complex, multi-table SQL seamlessly and accurately

Talk 3: From Alerts to Actions: Building Autonomous Incident Response Agents on Google Cloud by Jitendra Gupta

Description: Modern cloud environments generate thousands of alerts every day, leaving SRE and operations teams overwhelmed by monitoring dashboards, incident investigations, and manual remediation tasks. While observability platforms help identify issues, the path from alert to resolution often remains heavily dependent on human intervention.
In this session, we’ll explore how Agentic AI is transforming Site Reliability Engineering by enabling autonomous incident response on Google Cloud. Using Gemini, Agent Development Kit (ADK), Model Context Protocol (MCP), Cloud Operations Suite, and GKE, we’ll demonstrate how intelligent agents can detect anomalies, correlate telemetry signals, identify root causes, execute runbooks, and automate remediation workflows.
Through a real-world production scenario, attendees will learn how to design and implement AI-powered operational agents that reduce Mean Time to Detect (MTTD), accelerate Mean Time to Resolve (MTTR), and improve overall system reliability. Whether you’re an SRE, DevOps Engineer, Platform Engineer, or Cloud Architect, this session will provide practical insights into building the next generation of intelligent, self-healing cloud operations

Talk 4: GKE agent sandbox: AI helping developers deploy! by Pratik Singh

Deploying on Kubernetes shouldn't mean wrestling with complex YAML or risking security on untrusted, AI-generated code.

This talk introduces how GKE Agent Sandbox and the GKE MCP server solve both problems. Discover how gVisor-isolated cells securely contain experimental workloads by default, keeping your network safe. Meanwhile, an AI assistant handles deployment, status checks, and logs through plain-English conversation—completely eliminating kubectl.

We’ll demonstrate taking a Python script from local edit to a live, securely isolated deployment on GKE using a simple chat interface. Focus on your code; let the cluster handle the rest.

Register here