Sydney OpenSearch User Group Meetup #2

About this event

We're back for Meetup #2! Thanks to everyone who came along to our first Sydney OpenSearch User Group meetup in July. This time we've got talks from OpenChoreo, Atlassian and AWS, plus networking, pizza, and another tech quiz with swag to give away. Whether you're running OpenSearch in production or just curious, come along and meet the community. Agenda and talk summaries below. Agenda Wednesday\, 28 October 2026 \| 5:00 PM \- 7:00 PM 5:00 PM - 5:30 PM: Arrivals, Networking, Pizza & Drinks 5:30 PM - 6:00 PM: Talk 1 - Binura Gunasekara, OpenChoreo 6:00 PM - 6:30 PM: Talk 2 - Daniel Ting, Atlassian 6:30 PM - 6:50 PM: Talk 3 - Maryam Tavakoli, AWS 6:50 PM - 7:00 PM: Tech Quiz - put your brain to the test to win swag Talk 1: Building Observability into the Golden Path with OpenChoreo and OpenSearch Speaker: Binura Gunasekara, OpenChoreo Join one of OpenChoreo's core maintainers for a practical look at how OpenSearch can be deeply integrated into the developer and agent experiences of an Internal Developer Platform (IDP), using OpenChoreo (a CNCF Sandbox project) as a working example. This session will explore how observability data in OpenSearch can be mapped to the application model developers already work with, giving both developers and AI agents application-aware access to runtime telemetry without exposing them directly to complex infrastructure. Through a working demo, we'll see how OpenChoreo uses OpenSearch for logging and OpenTelemetry-based tracing, and how coding agents (like Claude/Codex) and a built-in platform SRE agent use this application-aware telemetry to investigate and troubleshoot workloads on Kubernetes. Talk 2: Zero Downtime Migrations Speaker: Daniel Ting, Senior Software Engineer, Atlassian Talk 3: From Keyword to AI-Powered Search Speaker: Maryam Tavakoli, AWS Search has moved well beyond keyword matching. This session walks through how search in OpenSearch has evolved, from keyword (BM25) to semantic search with sparse and dense vectors, to hybrid and AI-powered search, and gives practical guidance on which approach fits which use case.