Codetown ::: a software developer's community
Time: June 24, 2010 from 6pm to 9pm
Location: DeVry University
Street: 4000 Millennia Blvd room 106 106 106
City/Town: Orlando
Website or Map: http://www.orl.devry.edu/camp…
Phone: Skype ::: mlevin77
Event Type: meeting
Organized By: Michael Levin
Latest Activity: Jun 25, 2010
From IDE to Data Center - What Every Developer Should Know About Deploying Distributed Systems to Production
Taking a distributed system from development into a working production environment is a challenge that many developers take for granted. This talk will explore these challenges, especially scenarios that are not typically seen in a development setting.
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Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Adi Polak discusses patterns for effective data stream processing, highlighting common pitfalls and the complexities of balancing data infrastructure. Learn about exactly-once semantics, the challenges of join operations in streaming (including the "Puppies shelter" concept), and crucial error handling strategies.
By Adi PolakAccording to Lizzie Matusov, technical drivers like velocity offer an incomplete view of team performance. Social drivers—trust, autonomy, purpose, and psychological safety—provide a fuller picture and reveal important areas of opportunity for improvement. She spoke about the social drivers behind high-performing engineering teams at QCon San Francisco.
By Ben LindersMicrosoft's five digital commitments aim to bolster Europe's tech landscape and sovereignty through a 40% cloud and AI infrastructure expansion, enhanced cybersecurity, and a robust data privacy framework. By establishing a "European cloud for Europe," Microsoft reinforces its dedication to digital resilience while fostering economic competitiveness and supporting the open-source community.
By Steef-Jan WiggersUber has detailed a recent transition to running Ray-based machine learning workloads on Kubernetes. This marks an evolution in its infrastructure, with the aim of enhancing scalability, efficiency, and developer experience. The company recently published a two-part series from Uber Engineering delving into the motivations, challenges, and solutions encountered during this migration.
By Craig RisiThe Model Context Protocol (MCP), an open standard for LLM tool integration, is gaining adoption in Java (Quarkus, Spring AI, etc.). Developers can now run MCP servers more easily using tools like JBang and the MCP Java catalog.
By Shaaf Syed
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