Hi folks,

 

It's been a while since last time I post here. I just want to share a project that I have started recently and hopefully it will benefit some of you.

 

In many places where I worked, they often needed a light, fast and standalone server like process that run easily without much hassle, compare to use a full blown JEE server. I often ended up writing the same bootstrapper service that does many of the basic things. We need logging, we need easy configuration set loader, we need remote control and management, and we need it NOW!

 

I have been started and collected some experimental code for a while on each time I learn how to do it better. So I finally created a new project under googlecode and named "spring-runner". You may call it a Fully functional Tiny Little Java Server. :)

 

See http://code.google.com/p/spring-runner

 

I hope you will find it useful. Feel free to provide any feedback and comments on the project.

 

Best regards,

-- Zemian Deng

Views: 77

Comment

You need to be a member of Codetown to add comments!

Join Codetown

Comment by Zemian Deng on March 24, 2011 at 7:47am

I use googlecode because they provide Mercurial source control. It also gives me a project home page, Wiki, Issue tracking etc, all are ready to go in just few minutes.

 

Now only if private companies we work for will have such infrastructure setup, and easiness of use for all internal projects, our job would be so much productive, won't we? :)

 

-- Zemian

Comment by Michael Levin on March 23, 2011 at 7:39am
This looks very good, Zemian! I bookmarked it for the Codetown Reading List in both the general section, which shows up on the Codetown homepage and in the JEE Group. Why did you choose code.google.com? Can't wait to try it out. Thanks for sharing it with us here at Codetown. /Mike

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

OpenAI Scales Single Primary Postgresql to Millions of Queries per Second for ChatGPT

OpenAI described how it scaled PostgreSQL to support ChatGPT and its API platform, handling millions of queries per second for hundreds of millions of users. By running a single-primary PostgreSQL deployment on Azure with nearly 50 read replicas, optimizing query patterns, and offloading write-heavy workloads to sharded systems, OpenAI maintained low-latency reads while managing write pressure.

By Leela Kumili

Creating Impactful Teams through Diversity Using Session 0

Diverse and empowered teams are impactful teams, Natan Žabkar Nordberg mentioned in his talk on creating impactful software teams at QCon London. A session 0 helps set expectations and ensures that everyone is approaching the team in a compatible way.

By Ben Linders

WhatsApp Deploys Rust-Based Media Parser to Block Malware on 3 Billion Devices

WhatsApp has rewritten its media handling library in Rust, replacing 160,000 lines of C++ with 90,000 lines of memory-safe code for 3 billion devices. The rollout, part of a system called Kaleidoscope, uses differential fuzzing to ensure bug-for-bug compatibility. The move mirrors a decade-long industry shift toward memory safety, tracing back to Mozilla's first Rust MP4 parser deployment in 2016.

By Steef-Jan Wiggers

Article: You’ve Generated Your MVP Using AI. What Does That Mean for Your Software Architecture?

AI‑generated code creates implicit architectural decisions, forcing teams to rely on experimentation to validate quality attributes. To get useful results from AI, teams must clearly express trade‑offs and reasoning so the model can generate solutions aligned with desired QARs.

By Pierre Pureur, Kurt Bittner

Presentation: Scaling to 100+ as a Director: Lessons From Growing Engineering Organizations

Thiago Ghisi explains the structural shifts required as an engineering org scales from 30 to 100+ engineers. He shares how to transition from managing performance to building opinionated leadership teams and shaping long-term culture. He discusses his "Three Levels of Impact" framework - Org, Skip-Level, and Company - to help leaders drive strategy and secure high-level promotions.

By Thiago Ghisi

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service