InfoQ Homepage Presentations
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Java 17: the Path, Features, Tips and Tricks Panel
Simon Ritter, Kristen O'Leary and Rory Preddy discuss the path to Java 17 and tips to ease the transition.
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A Standardized, Specification-Driven API Lifecycle
Kin Lane discusses API specifications like OpenAPI and AsyncAPI, and how they have emerged as the way API producers and consumers are engaging across the entire API lifecycle.
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ML Panel: "ML in Production - What's Next?"
The panelists discuss lessons learned with putting ML systems into production, what is working and what is not working, building ML teams, dealing with large datasets, governance and ethics/privacy.
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Full Stack Dart
Chris Swan discusses using a stack of Dart, where Flutter developers can use the same language to build the services behind their apps.
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Machine Learning at the Edge
Katharine Jarmul discusses utilizing new distributed data science and machine learning models, such as federated learning, to learn from data at the edge.
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Architecting for the Edge
The panelists discuss main differences in how one should design and build services when embracing the Edge as part of the system architecture.
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Unified MLOps: Feature Stores and Model Deployment
Monte Zweben proposes a whole new approach to MLOps that allows to scale models without increasing latency by merging a database, a feature store, and machine learning.
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Reproducible Development with Containers
Avdi Grimm describes the future of development, which is already here. Get a tour of a devcontainer, and contrast it with a deployment container.
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Present and Future of the Microservice Architecture
The panelists reflect on various microservices topics.
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Panel: Secure Systems
The panelists discuss the security for the software supply chain and software security risk measurement.
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MLOps: the Most Important Piece in the Enterprise AI Puzzle
Francesca Lazzeri overviews the latest MLOps technologies and principles that data scientists and ML engineers can apply to their machine learning processes.
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A Distributed Systems Approach to Decarbonizing the Grid
Astrid Atkinson walks through how technologies like real time monitoring, software load balancing and fleet orchestration can help address one of the greatest challenges of our lifetimes.
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