Codetown ::: a software developer's community
Time: September 29, 2025 at 6pm to October 1, 2025 at 7pm
Location: Colorado Springs Marriott
Website or Map: https://www.dev2next.com/8/ne…
Event Type: conference
Organized By: Venkat
Latest Activity: Sep 4
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It's hard to believe, but we're in the last few weeks heading up to the dev2next 2025 conference. I'm eager to welcome speakers and attendees at the event.
The Near Time Registration is open for those who have been waiting to get their final approvals to attend.
Hotel rooms reserved, flights booked, meals planned, swags ordered (did I say swags), I can't wait for the conference to begin.
If you've not already done so, please make sure to select the talks you'd like to attend using the ⊕ Schedule builder on the schedule page.
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Tickets, Raffles, and DiscountsNear Time Registration now open. Bring your team along and save big with group discounts.
Checkout the details on the register page.
Each of the last three months leading up to the conference we select a winner for a complimentary ticket. Check out the past winners of the raffle at the stayinformed page. In addition, we run raffles for members of participating user groups. Checkout our community supporters at the supporters link.
Get $50 off on individual registration price using the discount code LEVIN_2_DEV2NEXT
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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.
Check out the Codetown Jobs group.

Grab updated its internal platform to monitor Apache Kafka data quality in real time. The system uses FlinkSQL and an LLM to detect syntactic and semantic errors. It currently tracks 100+ topics, preventing invalid data from reaching downstream users. This proactive strategy aligns with industry trends to treat data streams as reliable products.
By Patrick Farry
Serving Large Language Models (LLMs) at scale is complex. Modern LLMs now exceed the memory and compute capacity of a single GPU or even a single multi-GPU node. As a result, inference workloads for 70B+, 120B+ parameter models, or pipelines with large context windows, require multi-node, distributed GPU deployments.
By Claudio Masolo
Karrot replaced its legacy recommendation system with a scalable architecture that leverages various AWS services. The company sought to address challenges related to tight coupling, limited scalability, and poor reliability in its previous solution, opting instead for a distributed, event-driven architecture built on top of scalable cloud services.
By Rafal Gancarz
Sharing your work as a software engineer inspires others, invites feedback, and fosters personal growth, Suhail Patel said at QCon London. Normalizing and owning incidents builds trust, and it supports understanding the complexities. AI enables automation but needs proper guidance, context, and security guardrails.
By Ben LindersThe article shares goals and strategies for scaling cloud and distributed applications, focusing on lessons learned from cloud migration at Chase.com at JP Morgan Chase. The discussion centers on three primary goals and the strategies addressing the goals, concluding how these approaches were achieved in practice. For those managing large-scale systems, these lessons provide valuable guidance!
By Durai Arasan
© 2025 Created by Michael Levin.
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