---
title: "Sydney Databricks MLOps Meetup Archive | Data-Driven AI"
canonical: "https://data-driven.com/events/sydney-databricks-meetup-feb-mlops-and-databricks/"
description: "Review the archived Sydney Databricks Meetup on MLOps, Azure Machine Learning, model hosting, team handoffs, and the published evening agenda."
---

Archived Sydney meetup · February session

# Sydney Databricks Meetup: _MLOps in practice_

This community session has finished. Its record covers the development workflow, model-hosting choices, and Databricks platform topics published for the evening.

Archive status

## The February meetup and Meetup registration have ended

The page names a February session but does not keep its calendar date. It does keep the evening times and speaker names.

Published running time

Registration began at 5:15 pm. Technical sessions ran from 5:30 pm, followed by Q&A and networking through 7:00 pm.

![Audience at the Sydney Databricks Meetup](/_astro/20191107_175038-scaled.Az7D3PlM_1zIjlY.webp)

The archive photo was reused across the original Sydney meetup listings.

Technical agenda

## The session followed a model from development to operations

The topics reflect the Microsoft and Databricks tools available at the time.

01

### Structure the development workflow

The talk considered how Azure Machine Learning could support training, deployment, and monitoring with Databricks.

02

### Compare hosting choices

Kubernetes, standalone containers, and serverless options formed the published comparison set.

03

### Improve the team handoff

The agenda covered the handoff between data scientists and machine-learning engineers.

04

### Review the platform pillars

The closing presentation described the core pillars of the Databricks service offering at the time.

Published presenters

## Two talks, followed by community questions

The page keeps the speakers named in the schedule. Their roles may have changed.

1.  **Rodney Joyce** presented the MLOps and Databricks session.
2.  **Noble Raveendran**, identified as a Databricks Solutions Architect, presented the service-offering pillars.
3.  The final agenda item invited questions and ideas for later meetups.

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