JFuture 2020 Online Conference

Event Details

JFuture 2020 Online Conference

Time: October 23, 2020 to October 24, 2020
Location: Online
Website or Map: https://jfuture.dev/
Event Type: jvm, conference
Organized By: Space_
Latest Activity: Aug 20, 2020

Export to Outlook or iCal (.ics)

Event Description

A Java-focused conference from Belarus, @jfuturedev, now goes online and it means international!

Join the event on October 23-24 from any part of the planet. Grab your early bird ticket at 17 EUR only and join the event!

https://jfuture.dev

Comment Wall

Comment

RSVP for JFuture 2020 Online Conference to add comments!

Join Codetown

Private Guest List

Amanda Hinchman-Dominguez has decided to hide the list of guests.

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

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.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

AWS Launches Agent Plugins to Automate Cloud Deployment

AWS launched Agent Plugins for AWS, providing AI coding agents with specialized deployment skills. The initial deploy-on-aws plugin transforms workflows by accepting commands like "deploy to AWS" and generating complete pipelines with architecture recommendations, cost estimates, and infrastructure code. Supported in Claude Code and Cursor, AWS claims 10-minute deployments versus hours manually.

By Steef-Jan Wiggers

Google Enhances Node Pool Auto-Creation Speed for GKE Clusters

Google Cloud has optimised GKE's node pool auto-creation, significantly cutting "Time to Ready" for massive clusters. By improving control plane communication and request batching, GKE now provisions resources faster, rivalling tools like Karpenter. The update enhances scaling reliability and stability for high-volume AI and batch workloads, automatically rolling out across supported versions.

By Mark Silvester

GitHub's Points to a More Global, AI-Challenged Open Source Ecosystem in 2026

GitHub has released its yearly look at open-source trends. They used data from the Octoverse 2025 report to help the open-source community get ready for the coming year. The picture that emerges is one of extraordinary scale and the structural strains that come with it.

By Claudio Masolo

OpenAI Codex-Spark Achieves Ultra-Fast Coding Speeds on Cerebras Hardware

In a major shift in its hardware strategy, OpenAI launched GPT-5.3-Codex-Spark, its first production AI model deployed on Cerebras wafer-scale chips rather than traditional Nvidia GPUs. The new model offers delivers improved throughput and low-latency, enabling a real-time, interactive coding experience, says the company.

By Sergio De Simone

Hybrid Cloud Data at Uber: How Engineers Solved Extreme-Scale Replication Challenges

Uber’s HiveSync team optimized Hadoop Distcp to handle multi-petabyte replication across hybrid cloud and on-premise data lakes. Enhancements include task parallelization, Uber jobs for small transfers, and improved observability, enabling 5x replication capacity and seamless on-premise-to-cloud migration.

By Leela Kumili

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service