Showing 4 out of 4 results
Enterprise Java in the Age of Microservices, Containers and Cloud-Native
Is your Java application ready for the real world? Join Markus Eisele and Natale Vinto, authors of the book “Modernizing Enterprise Java,” and Ana-Maria Mihalceanu, developer advocate at Red Hat, to uncover key ways to modernize your Java application.
Despite the widespread adoption of DevOps and CICD, some companies still rely on manual deployment in 2023. Michael Nygard, author of "Release It!" examines new patterns and anti-patterns that have emerged since the first edition of his book was released in 2007. Mike and Trisha Gee explore why companies using current best practices continue to encounter challenges. Come along to hear from the trenches of the DevOps movement.
Cloud-Native Data Science: Turning Data-Oriented Business Problems Into Scalable Solutions
The proliferation of Data Science is largely due to: ubiquitous data, increasing computational power and industry acceptance that solutions are an asset. Data Science applications are no longer a simple dataset on a single laptop. In a recent project, we help develop a novel cloud-native machine learning service. It is unique in that problems are packaged as containers and submitted to the cloud for processing. This enables users to distribute and scale their models easily. This talk will discuss the Data Science explosion and how that has altered the way engineers work. It will find that the boundaries between Data Science and Software Engineering are becoming even more blurred and techniques born out of Software Engineering can drastically improve many aspects of Data Science. Through a demonstration of business-focused examples, we will follow the process of turning a business problem into a scalable solution. It will make heavy use of containers to smooth the development and productisation of a model. This talk will be enjoyed by all and technical details will also be available for those who are interested.