Cloud-native systems create a "data tax" massive telemetry that’s often too slow or expensive to use. Join GDG Cloud to ...
0 RSVP'd
Cloud-native systems create a "data tax" massive telemetry that’s often too slow or expensive to use. Join GDG Cloud to explore how to move beyond basic monitoring toward high-performance observability.
Date: 28th Feb 2026
Time: 9.30 am to 2.30 pm
Location: Deutsche Bank (https://share.google/MHC2A39HrLKYAuWF2)
Session Highlights:
The Big Picture: Industry experts on the shift to "Observability 2.0" and managing high-fidelity telemetry in production.
Performance at Scale: How ClickHouse transforms observability into a high-speed analytics problem for sub-second insights.
Real-time Analytics: Moving from static dashboards to ad-hoc SQL queries on live telemetry data.
High Availability & Resilience: Designing "always-on" observability pipelines that scale through traffic spikes without data loss.
Performance Engineering: Using deep-trace analysis to proactively find bottlenecks and optimize cloud latency.
Keynote and Welcome Address by Anupama Kumaraguru, Director – CIO Corporate Bank.
Talk 1:
Title: Designing a platform agnostic High Availability system
Description:
In this session, we would be covering how we can design a highly resilient HA solution which could be deployed on any underlying platform. With rise in remote workforce and digital transformation across verticals, the need for stable systems is in demand more than ever before.
Speaker: Runcy Oommen, Director of Engineering @ Skyhigh Security
Runcy brings in over two decades of software engineering and leadership experience primarily from security, networking and cloud - private and public. He strives constantly to build better software with focus on security kept throughout the lifecycle and not just as an after-thought. Runcy is also the organizer of GDG Cloud, Bangalore!
Talk 2:
Title: The Insurance AI Operating System Stack: Building High-Performance Analytics on ClickHouse at Scale
Description:
Outmarket is building the Insurance AI Operating System for US agencies and brokers, transforming time-consuming workflows into instant intelligence. We scaled from zero to 10 billion tokens and a million page ingestions weekly in just 9 months, now processing close to 100 million records daily through ClickHouse for analytics.
This talk explores our architecture for handling extreme data volatility—including full dataset replacements at massive scale—while maintaining strict single-tenancy guarantees and sub-second query performance. Learn our battle-tested patterns for dedicated infrastructure per client, pipelines that handle complete dataset rebuilds without downtime, and query optimization for instant insights on constantly evolving data. Essential for architects building B2B SaaS platforms where isolation and performance are both non-negotiable.
Speaker: Ujjwal Agarwal, Software Development Engineer and Avitash Purohit, Principal Software Engineer @ OutMarket.ai
Avitash is a seasoned software engineer with over 14 years of experience building scalable systems and leading high-performing engineering teams. He currently serves at OutMarket.ai, where he helps drive platform architecture and real-time analytics initiatives. Prior to joining OutMarket.ai, Avitash held engineering leadership roles at Microsoft, Intelligent Retail, LitmusWorld, and Infosys, leading product development and platform teams across a range of data-intensive applications.
Talk 3:
Title: Elevating Banking: how data observability drives trust and personalisation
Description:
The banking world is all about trust and its ability to glean over both structured and unstructured data to extract key insights related to client/business/operations in a complaint and seamless way will become an edge for growth. Decision around the way of data organisation (in silos / lakes / groupings), cloud vs on-prem, usage with AI and observability patterns on live operations data will become a critical driver. This talk focusses on banking best practices for data observability, navigation of the data silos to achieve best client experience and personalisation needs.
Speaker: Sateesh Kavuri, Director, CIO Investment Bank
Sateesh is a Director at Deutsche Bank leading the Client 360 India CIO. In his current and past roles, Sateesh has extensively worked in the areas of Data Analytics, AI & ML, always looking to translate technology innovations to business value for the organisation. Prior to Deutsche Bank, Sateesh has co-founded startups to solve challenges in Health care and FinTech spaces
Talk 4:
Title: Building Self-Contained Data Agents with Agno, chDB, and Google Cloud Run
Description:
AI agents are often built as “brains”—brilliant at reasoning, but disconnected from the datasets they need to analyze. Most developers bridge this gap with complex, high-latency API calls to remote databases, creating bottlenecks that kill performance. By embedding the vectorized power of chDB and the orchestration of Agno directly into a Google Cloud Run container, we can move the compute to the data. This architecture creates stateful, self-contained units that carry their own analytical engines—scaling to zero when idle, yet delivering sub-second insights on millions of rows the moment they wake up.
Speakers: Shruti Mantri & Shuva Jyoti Kar
Shruti Mantri is dedicated advocate for the intersection of cloud infrastructure and AI with over 15 years of experience. Shruti is a recognized leader in the global AI community and an international speaker who frequently shares her expertise at premier industry conferences and open-source forums.
Shuva Jyoti Kar is a serverless enthusiast and specialist in distributed AI systems with over a decade of experience building graph databases. Shuva is a former open-source committer and maintainer for the OpenFlow Plugin (OpenDaylight) and frequently speaks at events like the Open Source Summit, GDG DevFests, and IEEE Conferences.
Remaining sessions will be updated soon. Fill up this form to show your interest.
Saturday, February 28, 2026
4:00 AM – 9:00 AM (UTC)