
Learn to build a robust monitoring infrastructure using Elastic Stack. Explore Beats, Logstash, Elasticsearch, and Kibana for efficient log and metric analysis in IoT and microservices environments.

Scalable data processing pipeline using containers for simulating crop productivity and environmental outcomes, enabling high-resolution analysis of climate change impacts on agriculture.

Explore AMP, a distributed network monitoring platform for active measurements. Learn its architecture, tests, data reporting, and real-world applications in detecting network issues and performance trends.

Explore automotive IoT applications using OBD-II data for driver profiling, smart city planning, and vehicle performance analysis. Learn to implement edge computing solutions with Linux for data extraction and transmission.

Explore repurposing weather balloon radiosondes using open-source software and low-cost hardware. Learn to decode signals, track flights, and collect atmospheric data with SDR and Raspberry Pi.

Bridging the digital skills gap in GLAM and research through training initiatives, focusing on Jupyter Notebooks and SWAN to enhance digital literacy and encourage curiosity in working with digital collections.

Explore corporate support for open source communities, learn strategies for effective engagement, and discover how to foster a culture of open source citizenship within organizations.

Explore decoding battery data from an electric motorbike using Raspberry Pi, Python, and open-source tools. Learn techniques for interpreting binary data from closed systems without documentation.

Exploring the potential of archival finding aids as open datasets to uncover new insights and data-driven stories from historical records, inspiring fresh perspectives on the past.

Explore a comprehensive monitoring stack for datacentres using Icinga, Netbox, Ansible, and Grafana. Learn to document, manage, and monitor infrastructure at scale in this hands-on lab session.

Explore ethical challenges in big data research and learn how to build a trusted data infrastructure, balancing benefits with human subject implications.

Explore inclusive form design for diverse users, covering name handling, gender options, and data protection to create accessible and respectful digital experiences.

Explore advanced stream processing on edge devices for real-time data analysis, enabling features like anomaly detection and distributed machine learning using open-source software.

Explore TensorFlow-powered perception for self-driving model cars, covering data acquisition, testing, and implementation in this informative talk on small-scale autonomous vehicles.

Explore the intricacies of managing large-scale log and metric data using ELK stack. Learn from real-world experiences to build resilient, high-availability systems for processing billions of logs daily.

A series of rapid-fire presentations on diverse tech topics, from hiring practices to security protocols, showcasing innovative ideas and sparking discussions in the open-source community.

Explore the creation of an interactive Australian public library map, discussing open data accessibility, management, and the process of building interactive maps using public geodata.

Visualizing Linux kernel subsystems through data mining, revealing structures and intersections to improve development processes and aid certification efforts.

Explore Arkisto, an open-source framework for digital preservation using sustainable standards. Learn about its data-centric approach, key components, and applications in research data management.

Explore essential tech skills for GLAMR workers, focusing on open-source software and collaborative learning to enhance digital collection management and preservation.

Explore statistical methods for predicting Australian election results with ABC analyst Antony Green. Learn about data sources, assumptions, and robust processes used to call elections before official counts are finalized.