Codetown ::: a software developer's community
We have some exciting news to share with you. Otavio will be joining us to discuss the latest version of Camel in an exclusive presentation.
Presentation Details:
Speaker: Otavio Rodolfo Piske
Topic: Camel 4:What to Expect
Date: 07 September 2023
Time: 19:00 Ist Time
Duration: Approximately 1 hour
Register URL : https://www.eventbrite.com/e/700456483197
Presentation Highlights:
Motivations for a New Major Release: Discover the driving forces behind the creation of this new version of Camel.
What's Changed: Explore the significant updates, enhancements, and improvements that have been implemented.
Expectations for the Upgrade: Gain insights into what users can anticipate when upgrading to this new version.
This is a fantastic opportunity to stay ahead of the curve and ensure that your knowledge of Camel is up to date. Whether you're a long-time user or just getting started with Camel, Otavio's insights will prove invaluable.
To reserve your spot for this presentation, please [registration link].
If you have any questions or specific topics you'd like Otavio to address during the presentation, please feel free to reply to this email, and we'll do our best to incorporate them.
We look forward to your participation and hope you'll join us for this informative session on the future of Camel.
Best Regards,
JUG Istanbul.
_._,_._,_
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.

Now stable, Ax is an open-source platform from Meta designed to help researchers and engineers apply machine learning to complex, resource-intensive experimentation. Over the past several years, Meta has used Ax to improve AI models, accelerate machine learning research, tune production infrastructure, and more.
By Sergio De Simone
Lyft has rearchitected its machine learning platform LyftLearn into a hybrid system, moving offline workloads to AWS SageMaker while retaining Kubernetes for online model serving. Its decision to choose managed services where operational complexity was highest, while maintaining custom infrastructure where control mattered most, offers a pragmatic alternative to unified platform strategies.
By Eran Stiller
AWS Transform Custom revolutionizes code modernization with AI-driven, out-of-the-box transformations for Java, Node.js, and Python. This enterprise-focused tool accelerates application upgrades by up to 5x while learning from organizational nuances to deliver high-quality, repeatable transformations.
By Steef-Jan Wiggers
Autonomous AI agents amplify productivity but can cause severe damage without safeguards. Defend the ReAct loop—context, reasoning, and tools—through provenance gates, planner-critic separation, scoped credentials, sandboxed code, and STRIDE/MAESTRO threat modeling. With robust logging, bounded autonomy, and red-teaming, agents can deliver trustworthy productivity while minimizing risk.
By Sriram Madapusi Vasudevan
Francisco Javier Arceo explored Feast, the open-source feature store designed to address common data challenges in the AI/ML lifecycle, such as feature redundancy, and low-latency serving at scale.
By Francisco Javier Arceo
© 2025 Created by Michael Levin.
Powered by
You need to be a member of Codetown to add comments!
Join Codetown